Research on the Application of CBR Technology in Intelligent Process Design System

Junli Liu; Hui Lu; Guanhui Cui; Xibin An

doi:10.54097/592p3296

Authors

Junli Liu
Hui Lu
Guanhui Cui
Xibin An

DOI:

https://doi.org/10.54097/592p3296

Keywords:

Intelligent Process, Case-Based Reasoning, Similarity, Improved Analytic Hierarchy Process, Weight Coefficient

Abstract

A Case-Based Reasoning (CBR) intelligent process design system is developed through Visual Studio development tools to improve the processing efficiency of mechanical parts and the recurrence rate of corporate knowledge. The key factor in improving the accuracy of case matching in the CBR system is the similarity calculation of parts. In this paper, similarity calculation models for different attribute types are presented by combining the nearest neighbor method. And the improved AHP method and matrix calculation of MATLAB are used to determine the weighting coefficient. The most similar cases are matched according to the overall similarity of the cases and the set threshold, and the method is applied to the intelligent process design of shafts. The results show that this method is conducive to shortening the development cycle and quickly responding to the market, which provides a reference for intelligent manufacturing of mechanical parts.

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