Causes of Error in Dynamometer

Dynamometer is a very important force measuring instrument for testing push and pull force. Many dynamometer users have more refined performance requirements for dynamometer products, so the structure and design need to be extremely beautiful, and the error and degree determination value of the components need to be controlled in a standardized manner. The following causes of dynamometer errors should be properly handled to improve the accuracy of the product.

Today I would like to share with you the reasons why the dynamometer produces errors:

1. Manufacturing error

Manufacturing error, also known as process error, is mainly generated during the manufacturing process of parts, such as differences in part material properties, inaccuracies in part size and shape during manufacturing and installation, etc. Manufacturing error is a random error. When calculating the total error, it is often assumed that the error is normally distributed, so it can be added geometrically.

2. Usage Error

Use error occurs during the use of parts, such as wear of the mating surface of parts, deformation under load, changes in the size of parts caused by changes in ambient temperature, and errors caused by vibration, friction, etc. Use error is also a random error, and the calculation method is the same as that of manufacturing error.

3. Design Error

Design error is also called principle error. It is mainly generated in the design process, such as using approximate mechanism instead of ideal mechanism or using approximate assumptions in scheme design, which makes the design have errors in principle from the beginning. Design error belongs to systematic error and should be added according to algebraic sum when calculating total error.

4. Error and precision of parts

Accuracy is an important indicator to measure the performance and quality of dynamometer products. Therefore, when designing a digital dynamometer, the accuracy of the dynamometer product should be analyzed and calculated, and the accuracy of each component of the product should be specified. Accuracy, also known as degree, refers to the degree of closeness between the actual parameter value (size, geometry, etc.) and the nominal value; error refers to the difference between the actual parameter value and the nominal value. The smaller the error, the higher the accuracy, and the higher the cost.