Industrial building instruments for measuring dimensions in mechanical engineering
With a need to make quality products which meet design specified tolerances, a large number of firms, research and development centers, and school and college laboratories use measuring instruments that have high accuracy and precision. The special branch of science that deals with such instruments is known as metrology. Here we will look at the features and use of certain well known precision measuring instruments used for linear measurement. Vernier Caliper: It is an instrument used to measure internal and external dimensions of an object with a great accuracy. It is provided with inward jaws and outward jaws to facilitate the measurement. A screw clamp is provided that can lock the position of the vernier scale, so that the instrument can be moved without disturbing the reading.VIDEO ON THE TOPIC: QUALITY CONTROL MEASURING TOOLS MECHANICAL
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- Coordinate-measuring machine
- Types of Gauges - A ThomasNet Buying Guide
- AEMT - Association of Electrical and Mechanical Trades
- Mechanical Engineering Technicians
- Top-10 Mechanical Measuring Instruments
- WE ARE FARO
- CBD-171. Inaccuracies In Construction
- Different Types of Mechanical Measuring Tools and Gauges Used on Ships
This involves quality assurance, quality control and metrology. We use quality assurance to gain confidence that quality requirements will be fulfilled. Quality control is used to check that requirements have been fulfilled. This is a subtle difference and in practice the terms are sometimes used interchangeably.
Metrology is the science of measurement. It is how we ensure that we can confidently compare the results of measurements made all over the world. The Egyptians used standards of measurement, with regular calibrations, to ensure stones would fit together in their great construction projects.
But modern quality systems really began during the industrial revolution. Before then, mechanical goods were built by craftsmen who would fettle each part individually to fit into an assembly. This meant each machine, and every part in it, was unique. If a part needed to be replaced then a craftsman would need to fit a new part. In the late 18 th Century, French arms manufacturers started to make muskets with standard parts. This meant the army could carry spare parts and quickly exchange them for broken ones.
These interchangeable parts were still fettled to fit into the assembly but instead of fitting each part to the individual gun it was fit to a master part. A few years later, American gun makers started using this method but adapted it to suit their untrained workers. They filed gauges to fit to the master part, workers would set jigs and production machines using the gauges, and also use the gauges to check the parts.
This enabled a row of machines, each carrying out a single operation with an unskilled operator, to produce accurate parts. The parts could then be quickly assembled into complex machines. The foundation for modern manufacturing had thus been laid, over years before Ford would apply these ideas to a moving production line.
A system of master parts, gauges and single-use machines worked when an entire product was produced in a single factory. Modern global supply chains need a different system. Instead of having a physical master part, we have a drawing or a digital CAD model. Specified tolerances ensure the parts will fit together and perform as intended. Rather than every manufacturer coming to a single master part to set their gauges, they have their measurement instruments calibrated. The instruments are then used to set the production machines and to check the parts produced.
The most important concept to understand is that all measurements have uncertainty. In fact, we can never know the exact true value of anything, all measurements are actually estimates, and have some uncertainty. The difference between a measurement result and the true value is the measurement error. You might have some level of confidence, say 95 percent, that it is true.
If you were to increase the limits, to say give or take 2 mm , then your confidence would increase, perhaps to 99 percent. So the uncertainty gives some bounds within which we have a level of confidence that the true value lies. We measure it and get a result of Maybe there was an even bigger error and the parts is actually less than 99 mm! Unless we know what the uncertainty of the measurement is, we have no idea how confident we can be that the part is within specification. Now we can say with better than 95 percent confidence that the part is within specification.
So understanding and quantifying the uncertainty of measurements is critical to maintaining quality. This is a fundamental aspect of uncertainty.
A calibration is a comparison with a reference, and the uncertainty of this comparison must always be included, for reasons explained below. A traceable measurement is one which has an unbroken chain of calibrations going all the way back to the primary standard. Since the s, the inch has been defined as All measurements must be traceable back to the same standard to ensure that parts manufactured in different countries will fit together.
The uncertainty of measurements arises from different sources. Some of these will lead to a consistent error, or bias, in the result. For example, the unknown error present when an instrument was calibrated will lead to a consistent error whenever it is used. This type of effect is known as a systematic uncertainty leading to a systematic error. Other sources will lead to errors which change randomly each time a measurement is made.
For example, turbulence in the air may cause small, randomly changing perturbations of laser measurements, mechanical play and alignment may cause randomly changing error in mechanical measurements. This type of effect is known as a random uncertainty leading to a random error.
It is conventional to divide random uncertainty into repeatability , the random uncertainty of results under the same conditions, and reproducibility , the random uncertainty under changed conditions. Of course, the conditions can never be exactly the same or completely different so the distinction is somewhat vague.
The types of conditions which might be changed are making the measurement at a different time, with a different operator, a different instrument, using a different calibration and in a different environment. The GUM method involves first considering all of the influences which might affect the measurement result. A mathematical model must then be determined giving the measurement result as a function of these influence quantities. The GUM approach is sometimes described as bottom-up , since it starts with a consideration of each individual influence.
Each influence is normally listed in a table called an uncertainty budget which is used to calculate the combined uncertainty. MSA involves performing Gage Studies in which repeated measurements are compared with a reference under different conditions to determine the bias, repeatability and sometimes reproducibility.
A Type-1 Gage Study is the quick check normally carried out to initially understand the variation in a gage. It involves a single operator measuring a single calibrated reference part 25 or more times and then considers the variation and bias in the results.
This type of test is often called a repeatability study outside of MSA. Typically 10 parts are each measured twice by at least three different operators. This considers the change of operator and subsequent changes in time and environment to be a full representation of reproducibility conditions. MSA is sometimes referred to as top-down since it largely treats the measurement process as a black-box and experimentally determines systematic and random uncertainties. Two important concepts in MSA are accuracy , used as the equivalent of uncertainty; and precision , used as the equivalent of random uncertainty.
The advantage of uncertainty evaluation is that it is capable of considering all sources of uncertainty and, if done properly, gives the most accurate estimate of uncertainty. Problems with this approach include the fact that it requires a metrologist capable of producing the mathematical model and the risk of human error leading to significant influences being omitted or incorrectly estimated. The GUM method is also only valid for an individual measurement which has been carried out with values known for any corrections applied.
It is therefore difficult to correctly apply uncertainty evaluation to predict the uncertainty of an industrial measurement process. MSA can be much more easily applied and is intended to provide a prediction for the accuracy of an industrial measurement process. The problem with this approach is that certain systematic effects are ignored and reproducibility conditions may not be fully represented, leading to an underestimate of uncertainty.
An example of the omission of systematic effects is that when determining the bias, a comparison is made with a reference which is treated as the true value—in reality the reference also has uncertainty, which should be included. This method relies on all reproducibility conditions being varied so that their effects can be seen in the variation of results when making repeated measurements.
It is likely that the way in which these conditions are varied will not fully reflect the variation seen during the life of the actual measurement process. So far, I have focused on quality control, i. A process may be evaluated by making several parts and measuring them to determine the variation and bias in the manufacturing process. Rather than giving these results directly, it is normal to divide the part tolerance by the process precision to give the Machine Tool Capability C P or by the process accuracy to give the Process Capability C PK.
It takes a top-down approach to understand random and systematic effects. However, instead of evaluating measurements, it is used to evaluate process outputs.
It generally has the same advantages and disadvantages as MSA, and a bottom-up uncertainty evaluation approach can be used if these are a concern.
However, common cause variation or chance cause variation in older literature is the equivalent of precision; short-term variability is the equivalent of repeatability; long-term variability is the equivalent of reproducibility; and special cause variation or assignable cause variation in older literature is the equivalent of bias.
In broad terms, this means that effects are random and normally distributed with any significant systematic effects corrected for. This gives a simple graphical view of a process where it can be easily spotted when a process is drifting or producing errors which cannot be explained by normal random variations. For example, if several points are all increasing or decreasing then this would indicate the process is drifting.
Since he has been developing novel metrology at the University of Bath, working closely with leading aerospace companies. This research is currently focused on uncertainty modelling of production systems, bringing together elements of SPC, MSA and metrology with novel numerical methods.
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Types of Gauges - A ThomasNet Buying Guide
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AEMT - Association of Electrical and Mechanical Trades
This involves quality assurance, quality control and metrology. We use quality assurance to gain confidence that quality requirements will be fulfilled. Quality control is used to check that requirements have been fulfilled. This is a subtle difference and in practice the terms are sometimes used interchangeably. Metrology is the science of measurement. It is how we ensure that we can confidently compare the results of measurements made all over the world. The Egyptians used standards of measurement, with regular calibrations, to ensure stones would fit together in their great construction projects. But modern quality systems really began during the industrial revolution.
Mechanical Engineering Technicians
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In combining two or more separately manufactured parts to produce a finished article, it is obviously necessary that the parts be made to the right size. Absolute precision is not required, and in the vast majority of cases inaccuracies in manufacture can be allowed for by suitable gaps between components. If these are not too big, they can subsequently be filled, if need be, with some moulded-in-place or elastic component.
Top-10 Mechanical Measuring Instruments
Here is some most commonly used mechanical instruments for measurement in industries. Learn all top instruments in our Free Online Course. Highlights of this blog in this Video. Vernier Caliper is a widely used linear measurement instrument with a least count of 0.SEE VIDEO BY TOPIC: What is a Vibration Sensor?
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WE ARE FARO
Ruler and scales : They are used to measure lengths and other geometrical parameters. They can be single steel plate or flexible tape type tool. Calipers : They are normally of two types- inside and outside caliper. They are used to measure internal and external size for e. It requires external scale to compare the measured value. Some calipers are provided with measuring scale. Other types are odd leg and divider caliper.
Mechanical gauges are instruments that measure pressure, dimensions, levels, etc. They can be mechanical or electro-mechanical devices and offer displays ranging from direct-reading rules to digital LCDs. Gauges which measure pressure are classified as analog or digital depending on their readouts.
CBD-171. Inaccuracies In Construction
FARO 3D metrology and vision technology for industrial automation and system integration. The first portable metrology software for Laser Tracker, Arm and Gage. FARO inspection solutions for streamlining manufacturing processes.
Different Types of Mechanical Measuring Tools and Gauges Used on Ships
Machinery onboard ships require regular care and maintenance so that their working life and efficiency can be increased, and the cost of operation, which includes unnecessary breakdowns and spares, can be reduced. For different types of machinery and systems, various measuring tools, instruments and gauges are used on a ship. Measuring instruments and gauges are used to measure various parameters such as clearance, diameter, depth, ovality, trueness, etc. These are critical engineering parameters, which describe the condition of the working machinery.
Даже до нижних веток было не достать, а за неширокими стволами невозможно спрятаться. Халохот быстро убедился, что сад пуст, и поднял глаза вверх, на Гиральду.
Вход на спиральную лестницу Гиральды преграждала веревка с висящей на ней маленькой деревянной табличкой. Веревка даже не была как следует натянута.
Никакой Цифровой крепости не существует, - еле слышно пробормотала она под завывание сирены и, обессилев, склонилась над своим компьютером. Танкадо использовал наживку для дурачков… и АНБ ее проглотило.
Сверху раздался душераздирающий крик Стратмора. ГЛАВА 86 Когда Сьюзан, едва переводя дыхание, появилась в дверях кабинета коммандера, тот сидел за своим столом, сгорбившись и низко опустив голову, и в свете монитора она увидела капельки пота у него на лбу. Сирена выла не преставая.
Беккер мрачно кивнул невидимому голосу. Замечательно. Он опустил шторку иллюминатора и попытался вздремнуть. Но мысли о Сьюзан не выходили из головы.