Fuzzy theory-based process failure mode identification and evaluation method

Abstract

The invention discloses a fuzzy theory-based process failure mode identification and evaluation method, which belongs to the field of machining and can be popularized to the field of improvement of machining quality of other products. The method comprises the following steps of solving a failure judgment matrix in combination with a process failure judgment criterion based on process element decomposition, thereby realizing identification of process failure modes; obtaining a fuzzy evaluation matrix by virtue of an expert system and a fuzzy evaluation level; based on an analytic hierarchy process of a fuzzy theory, calculating subjective weights of evaluation indexes, calculating objective weights of the evaluation indexes by an entropy weight method, and calculating weights of the evaluation indexes in combination with the subjective weights and the objective weights; obtaining a sequence of the process failure modes by a TOPSIS (technique for order preference by grey similarity to ideal solution) method; in combination with the failure mode sequence, grading the process failure modes by a rank sum ratio method; and performing product machining process improvement on processes ofthe process failure modes with the relatively high grade, thereby improving the product machining quality and reliability.

Description

technical field [0001] The invention relates to a process failure mode recognition and evaluation method based on fuzzy theory, which belongs to the field of mechanical processing and can be extended to other fields of product processing quality improvement. Background technique [0002] As an effective product processing quality analysis method, PFMEA (Process Failure mode and effects analysis) has become a powerful tool for major manufacturers to manage product quality. By predicting, evaluating and analyzing the failure modes that may occur during the product manufacturing process, PFMEA can help craftsmen formulate corresponding preventive measures for process failures to reduce and avoid product defects. As an extension and expansion of FMEA (Failure mode and effects analysis) technology in the product manufacturing stage, PFMEA adopts the same implementation steps and evaluation indicators as FMEA technology, that is, first obtain potential process failure modes throug...

AI Technical Summary

Problems solved by technology

[0010] Aiming at the existing process failure mode identification and evaluation methods relying on too much subjective experience of experts and the inaccurate semantic quantification of experts, the technical problem to be solved in this invention is to solve a method for process failure mode identification and evaluation based on fuzzy theory. Existing process failure mode identification and evaluation methods rely on the influence of too much subjective experience of experts to reduce the impact of inaccurate expert semantic quantification, and improve the accuracy of process failure mode identification and evaluation, thereby improving product processing quality and reliability

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