Evaluation And Analysis Of Measurement Uncertainty Of Computer Servo Control Material Testing Machine

In recent years,with the continuous updating and improvement of China’s production safety law,production enterprises pay more and more attention to the safety problems in the production process of workers.As the last line of defense to protect the life safety of workers,the quality of labor protection articles(hereinafter referred to as "labor protection articles")is also paid more and more attention.The quality of labor protection articles can be obtained by inspection,but how to ensure the effectiveness and reliability of the inspection results is the research content and direction of this paper.Measurement uncertainty is an important parameter to characterize the measurement results.Reasonable analysis and evaluation of measurement uncertainty will reduce the risk of misjudgment in the quality inspection of labor protection articles and increase the reliability of measurement results,which is of great significance to improve the inspection of labor protection articles.This paper selects the computer servo control material testing machine as the research object,analyzes and evaluates the working principle of the computer servo control material testing machine and the uncertainty of its measurement system.As a kind of high precision measuring tool,the computer servo control material testing machine must ensure the accuracy of its measuring results.Due to the complex structure of the measurement system of the computer servo control material test,the sources of measurement uncertainty are wide,which will have a great impact on the measurement results.In order to prevent misjudgment of product inspection results,it is necessary to analyze the uncertainty of measurement system of computer servo control material testing machine.At present,due to the lack of uncertainty standards in the field of quality inspection of labor protection products in China,and the complex structure of the measurement system of computer servo control material testing machine,many modules,mathematical modeling and calculation analysis are more complex.Therefore,it is a difficult and challenging work to evaluate and analyze the uncertainty of the measurement system of the computer servo control material testing machine.The main research work of this paper is as follows: firstly,the background and significance of this paper are introduced,and the development status of uncertainty at home and abroad is briefly introduced;Then some basic theories of uncertainty are introduced,including the basic error theory and its relation and difference with uncertainty,the source of uncertainty,mathematical model and classification of uncertainty;Secondly,the structure and principle of measurement system of servo controlled material testing machine are introduced,and the sources of uncertainty of servo controlled material testing machine are analyzed;Then,the evaluation model of GUM uncertainty based on the indication error,repeatability,reproducibility and other sources of uncertainty of the measurement system of the computer servo controlled material testing machine is established,and the evaluation process and quantitative method of each component are studied;A non statistical method based on grey system theory is introduced to evaluate the uncertainty of the measurement system of the computer servo control material testing machine.Finally,the specific calculation methods of the two measurement uncertainty evaluation methods are analyzed through the upper tensile property test.Based on the two results of measurement uncertainty of upper tensile property,it is found that the measurement uncertainty evaluation result of GUM method is less than that of grey theory method.The main reason is that GUM method needs to consider the sources of uncertainty,but because of the gray nature of the measurement system,the sources of uncertainty can not be fully recognized by us,so the evaluation result of measurement uncertainty is small.However,the evaluation of measurement uncertainty by GUM method can help us to analyze each source item of uncertainty in the measurement process of computer servo control material testing machine,and then help us to optimize the measurement system of computer servo control material testing machine and improve the accuracy of measurement results.The grey system evaluation method does not need complex analysis process,but directly analyzes the measurement results.In most cases,it is more suitable for the uncertainty evaluation of the measurement system of the computer servo control material testing machine.