Authors: A.N. Unyanin, P.R. Finageev

Title of the article: Statistical analysis parameters of the machining process.

Year: 2019, Issue: 6, Pages: 48-54

Branch of knowledge: 05.02.07 Technology and equipment for mechanical and physical-technical processing

Index UDK: 621.7.08

DOI: 10.26730/1816-4528-2019-6-48-54

Abstract: In the industry, new construction materials are widely used, the regularities in the processing zone of which are insufficiently studied, which makes it difficult to choose a rational processing mode. The rational method is to calculate the mode using models (dependencies) that link the output and input parameters of the process. However, the inadequacy of the models, the ambiguity of the initial data and the influence of uncontrollable factors are the reason that the mode calculated with their use is far from optimal. The aim of the study is to develop a methodology for statistical processing of the actual values of the output parameters and current indicators of the machining process, which change with increasing tool life. In appointing the mode of machining technological processes with time-varying parameters under uncertainty of technological information used to correct the models by comparing the calculated and actual values of the output parameters of the process. To perform the correction, a method of statistical processing of the actual values of the output parameters and the current parameters of the machining process, which change with the increase in the operating time of the instrument, is developed. The method is based on the separation of the magnitude (field) of parameters dispersion into systematic and random components. The dispersion method was used to isolate these constituent parameters. The technique allows to reveal the function describing the time variation of the deterministic basis of the process and limits the instantaneous field of dispersion parameters and the tool life or the time tuning the machine. For the selection of functions it is proposed to use the method of average squares. An example of using the obtained technique for statistical analysis of the turning process is given.

Key words: statistical analysis parameter machining mode cutting

Receiving date: 08.12.2019

Publication date: 31.12.2019

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