How does manufacturing maintain quality? The process of manufacturing has evolved and become highly complicated. Machine parts are no longer produced in a single factory as one whole product. With shifts in the process the topic of maintaining quality in manufacturing gains paramount importance.
The concepts of quality control, quality assurance, and metrology are important in manufacturing. Quality assurance refers to the ways taken to maintain the desired quality level in a product. Quality control is the check devised to ensure that the standards have been met. Metrology deals with measurements and the system to compare measurements in the world. Metrology Parts provides solutions like Renishaw products and CMM related products to help manufacturing companies maintain their quality.
Concepts in Metrology and Quality
Here we will discuss the important concepts involved in metrology and quality in manufacturing.
- Calibration – In simple terms, it is the comparison of equipment performance with a reference standard of specified accuracy. Calibration is vital in the quality process.
- True value – All measurements have a degree of uncertainty and are only estimates. The exact value or true value is never known.
- Measurement error – This is the difference between the true value and the measurement result. Since the true value cannot be accurately determined, measurement error also is also unknowable.
- Uncertainty – Measurements always have uncertainty. It gives the range within which the true value would lie.
- Uncertainty and quality – For maintaining the quality it is important to understand and quantify the uncertainty of measurements.
- Uncertainty and error – Uncertainty of measurements might cause a consistent error in measurement. An unknown error in the calibration of the instrument can cause a consistent error anytime it is used. This is called systematic uncertainty and the error is called systematic error. Randomly changing errors during the course of usage is due to random uncertainty and causes a random error. Random uncertainty is further divided into repeatability and reproducibility. Repeatability is the uncertainty under the same conditions and reproducibility is the uncertainty under varied conditions.
- Measurement systems analysis – This is a mathematical method to determine the variation in a measurement process. Such variations can contribute to the overall process variability. MSA uses Gage studies in its process. Gage studies involve a comparison of repeated measurements with a reference in varying conditions so that the bias, reproducibility, and repeatability are determined.
- Statistical process control – This method uses statistical tools to control a production method.SPC tries to ensure that the process is within statistical control. One of the widely used SPC tools is the control charts. It provides a graphical view to easily spot errors. Explaining these by normal random variations is difficult. If many points in the control chart are increasing or decreasing it indicates drifting.
There it is. The terminologies of a complex subject have been simplified for you. For precise solutions in metrology, you can check out the various products offered by Metrology parts. It includes CMM probing systems, coordinate measuring machines, masters and standards, precision measuring tools, Reinshaw products, and video measuring machines. All products are shipped in one business day.