Application of a sensory statistical characteristic for quality assessment in mechanical engineering

Abstract

The article considers approaches to evaluating the model of parts manufacturing accuracy
from the standpoint of adequacy. To check the adequacy of the model, it is proposed to use a
sensory characteristic. The hypothesis about the conformity of the distribution laws to certain types
of machining is tested on mass experiments. The main problems in the production of parts, namely
the factors that affect the quality of processes, are analysed and highlighted. Thus, considering all
factors is a complex task that can be solved by applying in practice the parameters of scattering of
actual dimensions, which are studied using the laws of distribution. Determining the scatter of true
dimensions in manufacturing processes uses distribution laws to analyse and predict deviations.
This helps to improve machining accuracy and ensure high quality of manufactured parts. The
article proposes the use of a sensitive "λ-characteristic" to assess the adequacy of the manufacturing
accuracy model, since traditional agreement criteria do not always guarantee sufficient adequacy.
The use of the "λ-characteristic" allows to obtain a more accurate description of the distribution
law. The proposed methodology for using the "λ-characteristic" appears to be promising for use in
industry, given the detailed information provided by the "λ-characteristic".