Word for science of machines

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SCIENCE END TECHNICAL PROGRESS

SCIENCE END TECHNICAL PROGRESS

Finish the sentences explaining why this or that device is useful. Use the example: I think that fridge is the most useful because it keeps our food fresh and eatable     A light bulb to give light A telephone to communicate with people A computer to get different kinds of information A washing machine to keep our clothes clean A car to get somewhere as quick as possible A microwave stove to prepare our food very quickly A vacuum cleaner to keep our flats and houses clean An electric kettle to hit water very quickly without fire A radio to listen to news, music, etc. not only at home  but while travelling somewhere A mobile phone to communicate with people without wires The Internet to get different kinds of information,  to communicate with people

Finish the sentences explaining why this or that device is useful. Use the example: I think that fridge is the most useful because it keeps our food fresh and eatable

  • A light bulb to give light
  • A telephone to communicate with people
  • A computer to get different kinds of information
  • A washing machine to keep our clothes clean
  • A car to get somewhere as quick as possible
  • A microwave stove to prepare our food very quickly
  • A vacuum cleaner to keep our flats and houses clean
  • An electric kettle to hit water very quickly without fire
  • A radio to listen to news, music, etc. not only at home

but while travelling somewhere

  • A mobile phone to communicate with people without wires
  • The Internet to get different kinds of information,

to communicate with people

Finish the sentences explaining why this or that device is useful. Use the example: I think that fridge is the most useful because it keeps our food fresh and eatable     A light bulb to give light A telephone to communicate with people A computer to get different kinds of information A washing machine to keep our clothes clean A car to get somewhere as quick as possible A microwave stove to prepare our food very quickly A vacuum cleaner to keep our flats and houses clean An electric kettle to hit water very quickly without fire A radio to listen to news, music, etc. not only at home  but while travelling somewhere A mobile phone to communicate with people without wires The Internet to get different kinds of information,  to communicate with people

Finish the sentences explaining why this or that device is useful. Use the example: I think that fridge is the most useful because it keeps our food fresh and eatable

  • A light bulb to give light
  • A telephone to communicate with people
  • A computer to get different kinds of information
  • A washing machine to keep our clothes clean
  • A car to get somewhere as quick as possible
  • A microwave stove to prepare our food very quickly
  • A vacuum cleaner to keep our flats and houses clean
  • An electric kettle to hit water very quickly without fire
  • A radio to listen to news, music, etc. not only at home

but while travelling somewhere

  • A mobile phone to communicate with people without wires
  • The Internet to get different kinds of information,

to communicate with people

Read & match the words with their definitions 1. Science a) the use of scientific knowledge and discoveries  to develop new machines and systems. 2. Technology b) the activity of designing and building roads,  bridges, machines , etc. 3. Engineering c) knowledge and theories about the world which are  based on facts, experiments and research. 4. An invention d) when something brings progress and makes it  possible for people to do the things that they  couldn`t do before. 5. A discovery e) using the latest technology. 6. A technological/ f) a new product, machine, system, etc., which someone has  scientific/ medical thought of for the first time.  advance 7. High – tech g) a fact or thing that someone has found out about, which  was not known about before.

Read & match the words with their definitions

1. Science a) the use of scientific knowledge and discoveries

to develop new machines and systems.

2. Technology b) the activity of designing and building roads,

bridges, machines , etc.

3. Engineering c) knowledge and theories about the world which are

based on facts, experiments and research.

4. An invention d) when something brings progress and makes it

possible for people to do the things that they

couldn`t do before.

5. A discovery e) using the latest technology.

6. A technological/ f) a new product, machine, system, etc., which someone has

scientific/ medical thought of for the first time.

advance

7. High – tech g) a fact or thing that someone has found out about, which

was not known about before.

Read & match the words with their definitions 1. Science a) the use of scientific knowledge and discoveries  to develop new machines and systems. 2. Technology b) the activity of designing and building roads,  bridges, machines , etc. 3. Engineering c) knowledge and theories about the world which are  based on facts, experiments and research. 4. An invention d) when something brings progress and makes it  possible for people to do the things that they  couldn`t do before. 5. A discovery e) using the latest technology. 6. A technological/ f) a new product, machine, system, etc., which someone has  scientific/ medical thought of for the first time.  advance 7. High – tech g) a fact or thing that someone has found out about, which  was not known about before.

Read & match the words with their definitions

1. Science a) the use of scientific knowledge and discoveries

to develop new machines and systems.

2. Technology b) the activity of designing and building roads,

bridges, machines , etc.

3. Engineering c) knowledge and theories about the world which are

based on facts, experiments and research.

4. An invention d) when something brings progress and makes it

possible for people to do the things that they

couldn`t do before.

5. A discovery e) using the latest technology.

6. A technological/ f) a new product, machine, system, etc., which someone has

scientific/ medical thought of for the first time.

advance

7. High – tech g) a fact or thing that someone has found out about, which

was not known about before.

Complete the sentences with the words science, technology, engineering, invention, discovery, high-tech 1.Medical help people to live much longer. 2.The of the computer has revolutionized the business  world. 3. Many scientists don`t consider that can give absolutely reliable knowledge. 4. The telescope has allowed astronomers to make   about  the Galaxy. 5. New communication have transformed the business  world. 6. He must study if he wants to be involved in designing new bridges and machines.

Complete the sentences with the words science, technology, engineering, invention, discovery, high-tech

1.Medical help people to live much longer.

2.The of the computer has revolutionized the business

world.

3. Many scientists don`t consider that can give absolutely reliable knowledge.

4. The telescope has allowed astronomers to make

about the Galaxy.

5. New communication have transformed the business

world.

6. He must study if he wants to be involved in designing new bridges and machines.

Complete the sentences with the words science, technology, engineering, invention, discovery, high-tech 1.Medical help people to live much longer. 2.The of the computer has revolutionized the business  world. 3. Many scientists don`t consider that can give absolutely reliable knowledge. 4. The telescope has allowed astronomers to make   about  the Galaxy. 5. New communication have transformed the business  world. 6. He must study if he wants to be involved in designing new bridges and machines.

Complete the sentences with the words science, technology, engineering, invention, discovery, high-tech

1.Medical help people to live much longer.

2.The of the computer has revolutionized the business

world.

3. Many scientists don`t consider that can give absolutely reliable knowledge.

4. The telescope has allowed astronomers to make

about the Galaxy.

5. New communication have transformed the business

world.

6. He must study if he wants to be involved in designing new bridges and machines.

Listening  1 2

Listening 1 2

1 2

1 2

3 4

3 4

3 4

3 4

5 6

5 6

5 6

5 6

7

7

7

7

Read & complete the text with the words from the word bank:  communicate, the cleaning, the environment, effect, the washing, devices, technology, the electricity, skills, technological advances, natural resources, change How Has Modern Technology Affected Our Lives?  Modern (1)  has had a great (2) on our lives, both at home and at work. Labour-saving (3) such as washing machines, dishwashers and microwave ovens have made our life much easier, and mean that less time needs to be spent doing things like (4) and (5) . Unfortunately, all the white goods that we buy need (6) , and we are using up the earth`s (7) . Also when we throw away old fridges, microwaves, etc., it can have a very bad effect on (8) . In the office computers, email, and photocopiers have revolutionized the way we work. People in different parts of the world can (9) with each other instantly, and business can be done much more quickly. The business world is constantly changing. The end result is that workers have to (10) jobs much more often and learn new (11) in order to kee up with all the latest (12) .

Read & complete the text with the words from the word bank: communicate, the cleaning, the environment, effect, the washing, devices, technology, the electricity, skills, technological advances, natural resources, change

How Has Modern Technology Affected Our Lives?

Modern (1) has had a great (2) on our lives, both at home and at work. Labour-saving (3) such as washing machines, dishwashers and microwave ovens have made our life much easier, and mean that less time needs to be spent doing things like (4) and (5) . Unfortunately, all the white goods that we buy need (6) , and we are using up the earth`s (7) . Also when we throw away old fridges, microwaves, etc., it can have a very bad effect on (8) . In the office computers, email, and photocopiers have revolutionized the way we work. People in different parts of the world can (9) with each other instantly, and business can be done much more quickly. The business world is constantly changing. The end result is that workers have to (10) jobs much more often and learn new (11) in order to kee up with all the latest (12) .

Read & complete the text with the words from the word bank:  communicate, the cleaning, the environment, effect, the washing, devices, technology, the electricity, skills, technological advances, natural resources, change How Has Modern Technology Affected Our Lives?  Modern (1)  has had a great (2) on our lives, both at home and at work. Labour-saving (3) such as washing machines, dishwashers and microwave ovens have made our life much easier, and mean that less time needs to be spent doing things like (4) and (5) . Unfortunately, all the white goods that we buy need (6) , and we are using up the earth`s (7) . Also when we throw away old fridges, microwaves, etc., it can have a very bad effect on (8) . In the office computers, email, and photocopiers have revolutionized the way we work. People in different parts of the world can (9) with each other instantly, and business can be done much more quickly. The business world is constantly changing. The end result is that workers have to (10) jobs much more often and learn new (11) in order to kee up with all the latest (12) .

Read & complete the text with the words from the word bank: communicate, the cleaning, the environment, effect, the washing, devices, technology, the electricity, skills, technological advances, natural resources, change

How Has Modern Technology Affected Our Lives?

Modern (1) has had a great (2) on our lives, both at home and at work. Labour-saving (3) such as washing machines, dishwashers and microwave ovens have made our life much easier, and mean that less time needs to be spent doing things like (4) and (5) . Unfortunately, all the white goods that we buy need (6) , and we are using up the earth`s (7) . Also when we throw away old fridges, microwaves, etc., it can have a very bad effect on (8) . In the office computers, email, and photocopiers have revolutionized the way we work. People in different parts of the world can (9) with each other instantly, and business can be done much more quickly. The business world is constantly changing. The end result is that workers have to (10) jobs much more often and learn new (11) in order to kee up with all the latest (12) .

Unusual Inventions  DOGGIE UMBRELLA

Unusual Inventions DOGGIE UMBRELLA

Unusual Inventions  WESTERN SKATER  So, you're all grown up and you still don't know how to roller skate? The Western Skater will give you the support and confidence you need to take that giant first step. As the inventor puts it,

Unusual Inventions WESTERN SKATER

So, you’re all grown up and you still don’t know how to roller skate? The Western Skater will give you the support and confidence you need to take that giant first step. As the inventor puts it, «the vehicle permits a beginner skater to train in a relatively uninhibited manner…» We think you would have to be pretty uninhibited to get on this hobby horse in public. Now you can become the cowboy on roller skates you always dreamed of as a kid! Two words sum up this goofy looking patent: GIDDY UP!

Unusual Inventions  GREENHOUSE HELMET  Welcome to the Greenhouse Helmet, your own personal biosphere! This invention consists of a sealed plastic dome, plants on tiny shelves and speakers and microphone for communication with the outside world. The mini greenhouse is designed to allow the user to breathe the oxygen given off by plants growing near their ears.  The inventor never really says why you may need the measly amount of oxygen given off by a couple of cacti. Maybe this invention will provide the extra edge needed by future Olympic athletes to win the Gold.

Unusual Inventions GREENHOUSE HELMET

Welcome to the Greenhouse Helmet, your own personal biosphere! This invention consists of a sealed plastic dome, plants on tiny shelves and speakers and microphone for communication with the outside world. The mini greenhouse is designed to allow the user to breathe the oxygen given off by plants growing near their ears.

The inventor never really says why you may need the measly amount of oxygen given off by a couple of cacti. Maybe this invention will provide the extra edge needed by future Olympic athletes to win the Gold.

1068 результатов для ‘machines’

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17 Power Up 2 - Unit 4 - Cross-Curricular (Machines in our homes)

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Video Ted. The jobs we'll lose to machines -- and the ones we won't | Anthony Goldbloom

Simple Machines

 Machines

MACHINES

Machines

Week 2 ICT Lesson Machines: Electronic Vs Non-Electronic Machines

SIMPLE MACHINES

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Simple Machines

Simple Machines

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Simple Machines!

simple machines

This article is about devices designed to perform tasks. For other uses, see Machine (disambiguation).

A machine is a physical system using power to apply forces and control movement to perform an action. The term is commonly applied to artificial devices, such as those employing engines or motors, but also to natural biological macromolecules, such as molecular machines. Machines can be driven by animals and people, by natural forces such as wind and water, and by chemical, thermal, or electrical power, and include a system of mechanisms that shape the actuator input to achieve a specific application of output forces and movement. They can also include computers and sensors that monitor performance and plan movement, often called mechanical systems.

Renaissance natural philosophers identified six simple machines which were the elementary devices that put a load into motion, and calculated the ratio of output force to input force, known today as mechanical advantage.[1]

Modern machines are complex systems that consist of structural elements, mechanisms and control components and include interfaces for convenient use. Examples include: a wide range of vehicles, such as trains, automobiles, boats and airplanes; appliances in the home and office, including computers, building air handling and water handling systems; as well as farm machinery, machine tools and factory automation systems and robots.

Bonsack's machine

James Albert Bonsack’s cigarette rolling machine, invented in 1880 and patented in 1881.

Etymology[edit]

The English word machine comes through Middle French from Latin machina,[2] which in turn derives from the Greek (Doric μαχανά makhana, Ionic μηχανή mekhane ‘contrivance, machine, engine’,[3] a derivation from μῆχος mekhos ‘means, expedient, remedy’[4]).[5] The word mechanical (Greek: μηχανικός) comes from the same Greek roots. A wider meaning of ‘fabric, structure’ is found in classical Latin, but not in Greek usage. This meaning is found in late medieval French, and is adopted from the French into English in the mid-16th century.

In the 17th century, the word machine could also mean a scheme or plot, a meaning now expressed by the derived machination. The modern meaning develops out of specialized application of the term to stage engines used in theater and to military siege engines, both in the late 16th and early 17th centuries. The OED traces the formal, modern meaning to John Harris’ Lexicon Technicum (1704), which has:

Machine, or Engine, in Mechanicks, is whatsoever hath Force sufficient either to raise or stop the Motion of a Body. Simple Machines are commonly reckoned to be Six in Number, viz. the Ballance, Leaver, Pulley, Wheel, Wedge, and Screw. Compound Machines, or Engines, are innumerable.

The word engine used as a (near-) synonym both by Harris and in later language derives ultimately (via Old French) from Latin ingenium ‘ingenuity, an invention’.

History[edit]

The hand axe, made by chipping flint to form a wedge, in the hands of a human transforms force and movement of the tool into a transverse splitting forces and movement of the workpiece. The hand axe is the first example of a wedge, the oldest of the six classic simple machines, from which most machines are based. The second oldest simple machine was the inclined plane (ramp),[6] which has been used since prehistoric times to move heavy objects.[7][8]

The other four simple machines were invented in the ancient Near East.[9] The wheel, along with the wheel and axle mechanism, was invented in Mesopotamia (modern Iraq) during the 5th millennium BC.[10] The lever mechanism first appeared around 5,000 years ago in the Near East, where it was used in a simple balance scale,[11] and to move large objects in ancient Egyptian technology.[12] The lever was also used in the shadoof water-lifting device, the first crane machine, which appeared in Mesopotamia circa 3000 BC,[11] and then in ancient Egyptian technology circa 2000 BC.[13] The earliest evidence of pulleys date back to Mesopotamia in the early 2nd millennium BC,[14] and ancient Egypt during the Twelfth Dynasty (1991-1802 BC).[15] The screw, the last of the simple machines to be invented,[16] first appeared in Mesopotamia during the Neo-Assyrian period (911-609) BC.[17] The Egyptian pyramids were built using three of the six simple machines, the inclined plane, the wedge, and the lever.[18]

Three of the simple machines were studied and described by Greek philosopher Archimedes around the 3rd century BC: the lever, pulley and screw.[19][20] Archimedes discovered the principle of mechanical advantage in the lever.[21] Later Greek philosophers defined the classic five simple machines (excluding the inclined plane) and were able to roughly calculate their mechanical advantage.[1] Heron of Alexandria (ca. 10–75 AD) in his work Mechanics lists five mechanisms that can «set a load in motion»; lever, windlass, pulley, wedge, and screw,[20] and describes their fabrication and uses.[22] However, the Greeks’ understanding was limited to statics (the balance of forces) and did not include dynamics (the tradeoff between force and distance) or the concept of work.[citation needed]

An ore crushing machine powered by a water wheel

The earliest practical water-powered machines, the water wheel and watermill, first appeared in the Persian Empire, in what are now Iraq and Iran, by the early 4th century BC.[23] The earliest practical wind-powered machines, the windmill and wind pump, first appeared in the Muslim world during the Islamic Golden Age, in what are now Iran, Afghanistan, and Pakistan, by the 9th century AD.[24][25][26][27] The earliest practical steam-powered machine was a steam jack driven by a steam turbine, described in 1551 by Taqi al-Din Muhammad ibn Ma’ruf in Ottoman Egypt.[28][29]

The cotton gin was invented in India by the 6th century AD,[30] and the spinning wheel was invented in the Islamic world by the early 11th century,[31] both of which were fundamental to the growth of the cotton industry. The spinning wheel was also a precursor to the spinning jenny, which was a key development during the early Industrial Revolution in the 18th century.[32] The crankshaft and camshaft were invented by Al-Jazari in Northern Mesopotamia circa 1206,[33][34][35] and they later became central to modern machinery such as the steam engine, internal combustion engine and automatic controls.[36]

The earliest programmable machines were developed in the Muslim world. A music sequencer, a programmable musical instrument, was the earliest type of programmable machine. The first music sequencer was an automated flute player invented by the Banu Musa brothers, described in their Book of Ingenious Devices, in the 9th century.[37][38] In 1206, Al-Jazari invented programmable automata/robots. He described four automaton musicians, including drummers operated by a programmable drum machine, where they could be made to play different rhythms and different drum patterns.[39]

During the Renaissance, the dynamics of the Mechanical Powers, as the simple machines were called, began to be studied from the standpoint of how much useful work they could perform, leading eventually to the new concept of mechanical work. In 1586 Flemish engineer Simon Stevin derived the mechanical advantage of the inclined plane, and it was included with the other simple machines. The complete dynamic theory of simple machines was worked out by Italian scientist Galileo Galilei in 1600 in Le Meccaniche («On Mechanics»).[40][41] He was the first to understand that simple machines do not create energy, they merely transform it.[40]

The classic rules of sliding friction in machines were discovered by Leonardo da Vinci (1452–1519), but remained unpublished in his notebooks. They were rediscovered by Guillaume Amontons (1699) and were further developed by Charles-Augustin de Coulomb (1785).[42]

James Watt patented his parallel motion linkage in 1782, which made the double acting steam engine practical.[43] The Boulton and Watt steam engine and later designs powered steam locomotives, steam ships, and factories.

The Industrial Revolution was a period from 1750 to 1850 where changes in agriculture, manufacturing, mining, transportation, and technology had a profound effect on the social, economic and cultural conditions of the times. It began in the United Kingdom, then subsequently spread throughout Western Europe, North America, Japan, and eventually the rest of the world.

Starting in the later part of the 18th century, there began a transition in parts of Great Britain’s previously manual labour and draft-animal-based economy towards machine-based manufacturing. It started with the mechanisation of the textile industries, the development of iron-making techniques and the increased use of refined coal.[44]

Simple machines[edit]

Table of simple mechanisms, from Chambers’ Cyclopædia, 1728.[45] Simple machines provide a «vocabulary» for understanding more complex machines.

The idea that a machine can be decomposed into simple movable elements led Archimedes to define the lever, pulley and screw as simple machines. By the time of the Renaissance this list increased to include the wheel and axle, wedge and inclined plane. The modern approach to characterizing machines focusses on the components that allow movement, known as joints.

Wedge (hand axe): Perhaps the first example of a device designed to manage power is the hand axe, also called biface and Olorgesailie. A hand axe is made by chipping stone, generally flint, to form a bifacial edge, or wedge. A wedge is a simple machine that transforms lateral force and movement of the tool into a transverse splitting force and movement of the workpiece. The available power is limited by the effort of the person using the tool, but because power is the product of force and movement, the wedge amplifies the force by reducing the movement. This amplification, or mechanical advantage is the ratio of the input speed to output speed. For a wedge this is given by 1/tanα, where α is the tip angle. The faces of a wedge are modeled as straight lines to form a sliding or prismatic joint.

Lever: The lever is another important and simple device for managing power. This is a body that pivots on a fulcrum. Because the velocity of a point farther from the pivot is greater than the velocity of a point near the pivot, forces applied far from the pivot are amplified near the pivot by the associated decrease in speed. If a is the distance from the pivot to the point where the input force is applied and b is the distance to the point where the output force is applied, then a/b is the mechanical advantage of the lever. The fulcrum of a lever is modeled as a hinged or revolute joint.

Wheel: The wheel is an important early machine, such as the chariot. A wheel uses the law of the lever to reduce the force needed to overcome friction when pulling a load. To see this notice that the friction associated with pulling a load on the ground is approximately the same as the friction in a simple bearing that supports the load on the axle of a wheel. However, the wheel forms a lever that magnifies the pulling force so that it overcomes the frictional resistance in the bearing.

Illustration of a Four-bar linkage from Kinematics of Machinery, 1876

The classification of simple machines to provide a strategy for the design of new machines was developed by Franz Reuleaux, who collected and studied over 800 elementary machines.[46] He recognized that the classical simple machines can be separated into the lever, pulley and wheel and axle that are formed by a body rotating about a hinge, and the inclined plane, wedge and screw that are similarly a block sliding on a flat surface.[47]

Simple machines are elementary examples of kinematic chains or linkages that are used to model mechanical systems ranging from the steam engine to robot manipulators. The bearings that form the fulcrum of a lever and that allow the wheel and axle and pulleys to rotate are examples of a kinematic pair called a hinged joint. Similarly, the flat surface of an inclined plane and wedge are examples of the kinematic pair called a sliding joint. The screw is usually identified as its own kinematic pair called a helical joint.

This realization shows that it is the joints, or the connections that provide movement, that are the primary elements of a machine. Starting with four types of joints, the rotary joint, sliding joint, cam joint and gear joint, and related connections such as cables and belts, it is possible to understand a machine as an assembly of solid parts that connect these joints called a mechanism .[48]

Two levers, or cranks, are combined into a planar four-bar linkage by attaching a link that connects the output of one crank to the input of another. Additional links can be attached to form a six-bar linkage or in series to form a robot.[48]

Mechanical systems[edit]

Boulton & Watt Steam Engine

The Boulton & Watt Steam Engine, 1784

A mechanical system manages power to accomplish a task that involves forces and movement. Modern machines are systems consisting of (i) a power source and actuators that generate forces and movement, (ii) a system of mechanisms that shape the actuator input to achieve a specific application of output forces and movement, (iii) a controller with sensors that compare the output to a performance goal and then directs the actuator input, and (iv) an interface to an operator consisting of levers, switches, and displays. This can be seen in Watt’s steam engine in which the power is provided by steam expanding to drive the piston. The walking beam, coupler and crank transform the linear movement of the piston into rotation of the output pulley. Finally, the pulley rotation drives the flyball governor which controls the valve for the steam input to the piston cylinder.

The adjective «mechanical» refers to skill in the practical application of an art or science, as well as relating to or caused by movement, physical forces, properties or agents such as is dealt with by mechanics.[49] Similarly Merriam-Webster Dictionary[50] defines «mechanical» as relating to machinery or tools.

Power flow through a machine provides a way to understand the performance of devices ranging from levers and gear trains to automobiles and robotic systems. The German mechanician Franz Reuleaux[51] wrote, «a machine is a combination of resistant bodies so arranged that by their means the mechanical forces of nature can be compelled to do work accompanied by certain determinate motion.» Notice that forces and motion combine to define power.

More recently, Uicker et al.[48] stated that a machine is «a device for applying power or changing its direction.»McCarthy and Soh[52] describe a machine as a system that «generally consists of a power source and a mechanism for the controlled use of this power.»

Power sources[edit]

Diesel engine, friction clutch and gear transmission of an automobile.

Human and animal effort were the original power sources for early machines.[citation needed]

Waterwheel: Waterwheels appeared around the world around 300 BC to use flowing water to generate rotary motion, which was applied to milling grain, and powering lumber, machining and textile operations. Modern water turbines use water flowing through a dam to drive an electric generator.

Windmill: Early windmills captured wind power to generate rotary motion for milling operations. Modern wind turbines also drives a generator. This electricity in turn is used to drive motors forming the actuators of mechanical systems.

Engine: The word engine derives from «ingenuity» and originally referred to contrivances that may or may not be physical devices.[53] A steam engine uses heat to boil water contained in a pressure vessel; the expanding steam drives a piston or a turbine. This principle can be seen in the aeolipile of Hero of Alexandria. This is called an external combustion engine.

An automobile engine is called an internal combustion engine because it burns fuel (an exothermic chemical reaction) inside a cylinder and uses the expanding gases to drive a piston. A jet engine uses a turbine to compress air which is burned with fuel so that it expands through a nozzle to provide thrust to an aircraft, and so is also an «internal combustion engine.» [54]

Power plant: The heat from coal and natural gas combustion in a boiler generates steam that drives a steam turbine to rotate an electric generator. A nuclear power plant uses heat from a nuclear reactor to generate steam and electric power. This power is distributed through a network of transmission lines for industrial and individual use.

Motors: Electric motors use either AC or DC electric current to generate rotational movement. Electric servomotors are the actuators for mechanical systems ranging from robotic systems to modern aircraft.

Fluid Power: Hydraulic and pneumatic systems use electrically driven pumps to drive water or air respectively into cylinders to power linear movement.

Electrochemical: Chemicals and materials can also be sources of power.[55] They may chemically deplete or need re-charging, as is the case with batteries,[56] or they may produce power without changing their state, which is the case for solar cells and thermoelectric generators.[57][58] All of these, however, still require their energy to come from elsewhere. With batteries, it is the already existing chemical potential energy inside.[56] In solar cells and thermoelectrics, the energy source is light and heat respectively.[57][58]

Mechanisms[edit]

The mechanism of a mechanical system is assembled from components called machine elements. These elements provide structure for the system and control its movement.

The structural components are, generally, the frame members, bearings, splines, springs, seals, fasteners and covers. The shape, texture and color of covers provide a styling and operational interface between the mechanical system and its users.

The assemblies that control movement are also called «mechanisms.»[51][59] Mechanisms are generally classified as gears and gear trains, which includes belt drives and chain drives, cam and follower mechanisms, and linkages, though there are other special mechanisms such as clamping linkages, indexing mechanisms, escapements and friction devices such as brakes and clutches.

The number of degrees of freedom of a mechanism, or its mobility, depends on the number of links and joints and the types of joints used to construct the mechanism. The general mobility of a mechanism is the difference between the unconstrained freedom of the links and the number of constraints imposed by the joints. It is described by the Chebychev-Grübler-Kutzbach criterion.

Gears and gear trains[edit]

The transmission of rotation between contacting toothed wheels can be traced back to the Antikythera mechanism of Greece and the south-pointing chariot of China. Illustrations by the renaissance scientist Georgius Agricola show gear trains with cylindrical teeth. The implementation of the involute tooth yielded a standard gear design that provides a constant speed ratio. Some important features of gears and gear trains are:

  • The ratio of the pitch circles of mating gears defines the speed ratio and the mechanical advantage of the gear set.
  • A planetary gear train provides high gear reduction in a compact package.
  • It is possible to design gear teeth for gears that are non-circular, yet still transmit torque smoothly.
  • The speed ratios of chain and belt drives are computed in the same way as gear ratios. See bicycle gearing.

Cam and follower mechanisms[edit]

A cam and follower is formed by the direct contact of two specially shaped links. The driving link is called the cam (also see cam shaft) and the link that is driven through the direct contact of their surfaces is called the follower. The shape of the contacting surfaces of the cam and follower determines the movement of the mechanism.

Linkages[edit]

Schematic of the actuator and four-bar linkage that position an aircraft landing gear.

A linkage is a collection of links connected by joints. Generally, the links are the structural elements and the joints allow movement. Perhaps the single most useful example is the planar four-bar linkage. However, there are many more special linkages:

  • Watt’s linkage is a four-bar linkage that generates an approximate straight line. It was critical to the operation of his design for the steam engine. This linkage also appears in vehicle suspensions to prevent side-to-side movement of the body relative to the wheels. Also see the article Parallel motion.
  • The success of Watt’s linkage lead to the design of similar approximate straight-line linkages, such as Hoeken’s linkage and Chebyshev’s linkage.
  • The Peaucellier linkage generates a true straight-line output from a rotary input.
  • The Sarrus linkage is a spatial linkage that generates straight-line movement from a rotary input.
  • The Klann linkage and the Jansen linkage are recent inventions that provide interesting walking movements. They are respectively a six-bar and an eight-bar linkage.

Planar mechanism[edit]

A planar mechanism is a mechanical system that is constrained so the trajectories of points in all the bodies of the system lie on planes parallel to a ground plane. The rotational axes of hinged joints that connect the bodies in the system are perpendicular to this ground plane.

Spherical mechanism[edit]

A spherical mechanism is a mechanical system in which the bodies move in a way that the trajectories of points in the system lie on concentric spheres. The rotational axes of hinged joints that connect the bodies in the system pass through the center of these circle.

Spatial mechanism[edit]

A spatial mechanism is a mechanical system that has at least one body that moves in a way that its point trajectories are general space curves. The rotational axes of hinged joints that connect the bodies in the system form lines in space that do not intersect and have distinct common normals.

Flexure mechanisms[edit]

A flexure mechanism consists of a series of rigid bodies connected by compliant elements (also known as flexure joints) that is designed to produce a geometrically well-defined motion upon application of a force.

Machine elements[edit]

The elementary mechanical components of a machine are termed machine elements. These elements consist of three basic types (i) structural components such as frame members, bearings, axles, splines, fasteners, seals, and lubricants, (ii) mechanisms that control movement in various ways such as gear trains, belt or chain drives, linkages, cam and follower systems, including brakes and clutches, and (iii) control components such as buttons, switches, indicators, sensors, actuators and computer controllers.[60] While generally not considered to be a machine element, the shape, texture and color of covers are an important part of a machine that provide a styling and operational interface between the mechanical components of a machine and its users.

Structural components[edit]

A number of machine elements provide important structural functions such as the frame, bearings, splines, spring and seals.

  • The recognition that the frame of a mechanism is an important machine element changed the name three-bar linkage into four-bar linkage. Frames are generally assembled from truss or beam elements.
  • Bearings are components designed to manage the interface between moving elements and are the source of friction in machines. In general, bearings are designed for pure rotation or straight line movement.
  • Splines and keys are two ways to reliably mount an axle to a wheel, pulley or gear so that torque can be transferred through the connection.
  • Springs provides forces that can either hold components of a machine in place or acts as a suspension to support part of a machine.
  • Seals are used between mating parts of a machine to ensure fluids, such as water, hot gases, or lubricant do not leak between the mating surfaces.
  • Fasteners such as screws, bolts, spring clips, and rivets are critical to the assembly of components of a machine. Fasteners are generally considered to be removable. In contrast, joining methods, such as welding, soldering, crimping and the application of adhesives, usually require cutting the parts to disassemble the components

Controllers[edit]

Controllers combine sensors, logic, and actuators to maintain the performance of components of a machine. Perhaps the best known is the flyball governor for a steam engine. Examples of these devices range from a thermostat that as temperature rises opens a valve to cooling water to speed controllers such as the cruise control system in an automobile. The programmable logic controller replaced relays and specialized control mechanisms with a programmable computer. Servomotors that accurately position a shaft in response to an electrical command are the actuators that make robotic systems possible.

Computing machines[edit]

Arithmometr computing machine

Arithmometre, designed by Charles Xavier Thomas, c. 1820, for the four rules of arithmetic, manufactured 1866-1870 AD. Exhibit in the Tekniska museet, Stockholm, Sweden.

Charles Babbage designed machines to tabulate logarithms and other functions in 1837. His Difference engine can be considered an advanced mechanical calculator and his Analytical Engine a forerunner of the modern computer, though none of the larger designs were completed in Babbage’s lifetime.

The Arithmometer and the Comptometer are mechanical computers that are precursors to modern digital computers. Models used to study modern computers are termed State machine and Turing machine.

Molecular machines[edit]

The biological molecule myosin reacts to ATP and ADP to alternately engage with an actin filament and change its shape in a way that exerts a force, and then disengage to reset its shape, or conformation. This acts as the molecular drive that causes muscle contraction. Similarly the biological molecule kinesin has two sections that alternately engage and disengage with microtubules causing the molecule to move along the microtubule and transport vesicles within the cell, and dynein, which moves cargo inside cells towards the nucleus and produces the axonemal beating of motile cilia and flagella. «In effect, the motile cilium is a nanomachine composed of perhaps over 600 proteins in molecular complexes, many of which also function independently as nanomachines. Flexible linkers allow the mobile protein domains connected by them to recruit their binding partners and induce long-range allostery via protein domain dynamics. «[61] Other biological machines are responsible for energy production, for example ATP synthase which harnesses energy from proton gradients across membranes to drive a turbine-like motion used to synthesise ATP, the energy currency of a cell.[62] Still other machines are responsible for gene expression, including DNA polymerases for replicating DNA,[citation needed] RNA polymerases for producing mRNA,[citation needed] the spliceosome for removing introns, and the ribosome for synthesising proteins. These machines and their nanoscale dynamics are far more complex than any molecular machines that have yet been artificially constructed.[63] These molecules are increasingly considered to be nanomachines.[citation needed]

Researchers have used DNA to construct nano-dimensioned four-bar linkages.[64][65]

Impact[edit]

Mechanization and automation[edit]

A water-powered mine hoist used for raising ore. This woodblock is from De re metallica by Georg Bauer (Latinized name Georgius Agricola, ca. 1555), an early mining textbook that contains numerous drawings and descriptions of mining equipment.

Mechanization or mechanisation (BE) is providing human operators with machinery that assists them with the muscular requirements of work or displaces muscular work. In some fields, mechanization includes the use of hand tools. In modern usage, such as in engineering or economics, mechanization implies machinery more complex than hand tools and would not include simple devices such as an un-geared horse or donkey mill. Devices that cause speed changes or changes to or from reciprocating to rotary motion, using means such as gears, pulleys or sheaves and belts, shafts, cams and cranks, usually are considered machines. After electrification, when most small machinery was no longer hand powered, mechanization was synonymous with motorized machines.[66]

Automation is the use of control systems and information technologies to reduce the need for human work in the production of goods and services. In the scope of industrialization, automation is a step beyond mechanization. Whereas mechanization provides human operators with machinery to assist them with the muscular requirements of work, automation greatly decreases the need for human sensory and mental requirements as well. Automation plays an increasingly important role in the world economy and in daily experience.

Automata[edit]

An automaton (plural: automata or automatons) is a self-operating machine. The word is sometimes used to describe a robot, more specifically an autonomous robot. A Toy Automaton was patented in 1863.[67]

Mechanics[edit]

Usher[68] reports that Hero of Alexandria’s treatise on Mechanics focussed on the study of lifting heavy weights. Today mechanics refers to the mathematical analysis of the forces and movement of a mechanical system, and consists of the study of the kinematics and dynamics of these systems.

Dynamics of machines[edit]

The dynamic analysis of machines begins with a rigid-body model to determine reactions at the bearings, at which point the elasticity effects are included. The rigid-body dynamics studies the movement of systems of interconnected bodies under the action of external forces. The assumption that the bodies are rigid, which means that they do not deform under the action of applied forces, simplifies the analysis by reducing the parameters that describe the configuration of the system to the translation and rotation of reference frames attached to each body.[69][70]

The dynamics of a rigid body system is defined by its equations of motion, which are derived using either Newtons laws of motion or Lagrangian mechanics. The solution of these equations of motion defines how the configuration of the system of rigid bodies changes as a function of time. The formulation and solution of rigid body dynamics is an important tool in the computer simulation of mechanical systems.

Kinematics of machines[edit]

The dynamic analysis of a machine requires the determination of the movement, or kinematics, of its component parts, known as kinematic analysis. The assumption that the system is an assembly of rigid components allows rotational and translational movement to be modeled mathematically as Euclidean, or rigid, transformations. This allows the position, velocity and acceleration of all points in a component to be determined from these properties for a reference point, and the angular position, angular velocity and angular acceleration of the component.

Machine design[edit]

Machine design refers to the procedures and techniques used to address the three phases of a machine’s lifecycle:

  1. invention, which involves the identification of a need, development of requirements, concept generation, prototype development, manufacturing, and verification testing;
  2. performance engineering involves enhancing manufacturing efficiency, reducing service and maintenance demands, adding features and improving effectiveness, and validation testing;
  3. recycle is the decommissioning and disposal phase and includes recovery and reuse of materials and components.

See also[edit]

  • Automaton
  • Gear train
  • History of technology
  • Linkage (mechanical)
  • List of mechanical, electrical and electronic equipment manufacturing companies by revenue
  • Mechanism (engineering)
  • Mechanical advantage
  • Outline of automation
  • Outline of machines
  • Power (physics)
  • Simple machines
  • Technology
  • Virtual work
  • Work (physics)

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Further reading[edit]

  • Oberg, Erik; Franklin D. Jones; Holbrook L. Horton; Henry H. Ryffel (2000). Christopher J. McCauley; Riccardo Heald; Muhammed Iqbal Hussain (eds.). Machinery’s Handbook (26th ed.). New York: Industrial Press Inc. ISBN 978-0-8311-2635-3.
  • Reuleaux, Franz (1876). The Kinematics of Machinery. Trans. and annotated by A. B. W. Kennedy. New York: reprinted by Dover (1963).
  • Uicker, J. J.; G. R. Pennock; J. E. Shigley (2003). Theory of Machines and Mechanisms. New York: Oxford University Press.
  • Oberg, Erik; Franklin D. Jones; Holbrook L. Horton; Henry H. Ryffel (2000). Christopher J. McCauley; Riccardo Heald; Muhammed Iqbal Hussain (eds.). Machinery’s Handbook (30th ed.). New York: Industrial Press Inc. ISBN 9780831130992.

External links[edit]

The words data science and machine learning are often used interchangeably among those with only a little knowledge of the fields. However, if you are planning to build a career in one of these, it is important to know the differences between machine learning and data science. For that, we need to understand a few important terms that are related but fundamentally different. 

We dive into what exactly Artificial Intelligence and Machine Learning are first, before going into both in a little more detail. Here’s a quick data science vs machine learning summary if you’d just like to know the differences briefly.

Data Science vs Machine Learning: Head-to-Head Comparison

Here is a side-by-side comparison for easy reference.

Data-Science

Machine Learning

It is an interdisciplinary field where unstructured data is cleaned, filtered, analyzed and business innovations are churned out of the result.

It is a part of data science where tools and techniques are used to create algorithms so that the machine can learn from data via experience.

It has a vast scope

It comes only in the data modeling stage of data science.

Data science can work with manual methods as well though they are not as efficient as machine algorithms

Machine learning cannot exist without data science as data has to be first prepared to create, train and test the model.

Data science helps define new problems that can be solved using machine learning techniques and statistical analysis.

The problem is already known and tools and techniques are used to find an intelligent solution.

Knowledge of SQL is necessary to perform operations on data.

Knowledge of SQL is not necessary. Programs are written in languages like R, Python, Java, Lisp, etc…

Data science is a complete process.

Machine learning is a single step in data science that uses the other steps of data science to create the best suitable algorithm for predictive analysis.

Data science is not a subset of AI.

Machine learning is a subset of AI and also a connection between AI and data science since it evolves as more and more data is processed.

What is Artificial Intelligence and Data Science?

Artificial intelligence or machine intelligence refers to the intelligent decisions made by machines at par with their human counterparts — at least in certain tasks. It is a study where we enable machines to learn through experience and make them intelligent enough to perform human-like tasks. We have previously discussed the differences between AI and ML, but for the purpose of this article, let’s look at a simple definition of machine learning.

Think of ML as a subset of AI. In the same way, humans learn with experience, machines can learn with data (experience) rather than just following simple instructions. This is called machine learning. Machine learning uses 3types of algorithms:supervised, unsupervised, and reinforced.

Then there’s deep learning, which is a subset of machine learning based on artificial neural networks (think of neural networks similar to our own human brain). Unlike machine learning, deep learning uses multiple layers and structures algorithms such that an artificial neural network is created that learns and makes decisions on its own!

Big Data is another term you might have come across. These refer to humongous sets of data that can be computationally analyzed to understand and process trends, patterns, and human behavior. Big Data plays a role in data science. 

The machine learns on its own through machine learning algorithms – but how? Who gives the necessary inputs to a machine for creating algorithms and models? That’s where data science comes in. Data Science uses different methods, algorithms, processes, and systems to extract, analyze and get insights from data. We have our data science tutorialshere if you want to learn about this in detail.

If we were to see the relationship between all the above in a simple diagram, this is how it would look like this:

relation-between-ai-ml-ds-and-deep-learning

Artificial Intelligence includes both machine learning and data science which are correlated. Thus, data science is also a part (the most popular and most important one) of AI.

As we see above, data science and machine learning are closely related and provide useful insights and generate the necessary trends or ‘experience’. In both, we use supervised methods of learning i.e. learning from huge data sets.

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Data Science is a broader field of study that uses algorithms and models of machine learning to analyze and process data. Apart from learning, data science also involves data integration, visualization, data engineering, deployment, and business decisions. You may also be wondering about data analytics — but we’ll refer you to our guides on data science vs data analytics and a comparison of the data science and data analyst roles for that.

Difference Between Data Science and Machine Learning

On one hand, data science focuses on data visualization and a better presentation, whereas machine learning focuses more on learning algorithms and learning from real-time data and experience. Always remember – data is the main focus for data science and learning is the main focus for machine learning and that is where the difference lies.

Difference Between Data Science and Machine Learning

To appreciate this difference more, let us take a use case and see how both data science and machine learning can be used to achieve the results we want.

Let us say you want to purchase a phone on xyz.com. This is the first time you are visiting xyz.com and you are browsing through phones of all ranges. You use various filters to narrow down your preferences and out of the results you get, you choose 4-5 of the phones and compare those. Once you select a phone model, you will see a recommendation below the product – for a similar product at a lower price or with more features, related accessories for the phone you have chosen, and so on. How does the website recommend these when it has little history about you?

That’s through the data from millions of other people who may have tried to purchase the same phone, and searched/bought other accessories along. This makes the system automatically recommend the same to you.

The entire process of collecting data from the users, cleaning and filtering out the required data for evaluation, evaluation of the filtered data for building patterns, finding similar trends and building a model for a recommendation of the same thing to other users, and finally the optimization, is data science.

Where is machine learning in all this? We build models through machine learning algorithms. Based on the data collected and trends generated, the machine understands that these are the accessories that are usually bought by other users with a particular phone. Hence, it suggests the same thing based on what it has ‘experienced’ before.

The modeling step is the most critical step because that is what improves the overall business and makes the machine understand human behavior. If the right machine learning model is applied, it could mean more progressive learning for the machine as well as success for the business model.

This step is called the data modeling step, which is essentially the machine learning phase of the data science lifecycle.

This might seem like a lot, but data science professional courses will explain everything clearly. These specializations go a long way in explaining the fundamentals and the more complicated concepts.

How Does Data Modeling Work?

There are different types of machine learning algorithms, the most common being clustering, matrix factorization, content-based, recommendations, collaborative filtering, and so on. Machine learning involves 5 basic steps.

Data Modeling Work

The huge set of data that we receive in the first step is split into the training set and testing set and the model is built and tested using the training set. A significant portion of data is used for training purposes so that different conditions of input and output can be achieved and the model built is closest to the required result (recommendation, human behavior, trends, etc.). Once built, the model is tested for efficiency and accuracy using the test data so that it can be cross-validated.

As we can see, machine learning comes into the picture only during the data modeling phase of the data science lifecycle. It thus contains machine learning.

With machine learning, the machine can generate complex mathematical algorithms that need not be programmed by a human, and further can improvise and improve the programs by itself. When compared to traditional statistical analysis techniques, machine learning evolves as a better way of extracting and processing the most complex sets of big data, thereby making data science easier and less chaotic.

Furthermore, machines tend to be more accurate and have a better memory than humans, they can learn and produce accurate results based on experiences. We get fast algorithms and data-driven models without the errors that are possible by humans.

Careers Opportunities with Machine Learning and Data Science

As we’ve mentioned, much of what you will learn is applicable to both machine learning and data science. However, there are more specific roles in both fields.

With machine learning, you could become a machine learning engineer, a Natural Language Processing Scientist, a software developer focused on ML, and of course, a data scientist.

With data science, you could become a data scientist, business intelligence developer, data analyst, data engineer, data architect, and machine learning engineer.

Bear in mind that many of these roles are accessible to both fields of study, though a few specific ones might require some specialization. Either way, you’ll need a solid understanding of mathematics, statistics, and some basic software engineering. Machine learning engineers will require more programming experience under their belt. 

There are several professional courses to help you get started, including MIT’s machine learning and AI course, and famous Stanford courses taught by Andrew Ng.

How Do You Choose Between Data Science and Machine Learning?

That’s it for our data science vs machine learning comparison. The fact is you cannot choose only one. Both data science and machine learning go hand in hand.In the future, data scientists will need at least a basic understanding of machine learning to model and interpret big data that is generated every single day.

If you are just starting your career or are from different background like Java or .NET, there is nothing to worry about. 

Data Science is vast but not difficult. Since it has many stages, a data scientist’s job is divided into different sub-fields. 

Check out the tutorials and start learning the basics. Once you understand the core concepts, go deeper into machine learning and deep learning through the resources we’ve mentioned. 

Regardless of whether you have programming experience, you can become a good data scientist by understanding the necessary tools and techniques to work on data and acquiring domain knowledge. One good place to start is by learning R for data science.

Frequently Asked Questions

1. Which is better: data science or machine learning?

Neither is better than the other — it all depends on what roles you’re seeking. If you like to work with big data and find a career in the business world, then perhaps data science is better. If you’d like to work as a machine learning engineer developing algorithms, then perhaps machine learning is better.

2. Is data science the same as machine learning?

There are differences, which we’ve outlined above, but there are many similarities in terms of what you’ll be studying. Your career paths could be different depending on which route you take. Furthermore, data science typically involves finding patterns in data and turning them into actionable insights. Machine learning involves actually building models and algorithms.

3. Which pays more: data science or machine learning?

Machine learning engineers get paid more than data scientists. Their responsibilities typically require more knowledge and an understanding of a wider variety of subjects.

4. Is data science easier than machine learning?

The consensus is that data science is in fact easier than machine learning. Data science involves more statistics, while machine learning involves more computer science in addition to statistics. 

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