Intelligent Decision-Making of Machining Operation Method for STEP-NC-Compliant Freeform Surface Features

doi:10.12068/j.issn.1005-3026.2022.07.010

Abstract

Abstract: In order to improve the integration and intelligence of process planning for complex parts， an intelligent decision-making of machining operation method for STEP-NC-compliant freeform surface features based on hybrid algorithm is proposed. Firstly， a BP neural network model for determining the machining operation method of freeform surface features compliant with STEP-NC is constructed. Then， an improved artificial fish swarm algorithm is presented based on the strategy of adaptive vision and adaptive step as well as chaos algorithm. Furthermore， the improved artificial fish swarm algorithm and the BP neural network algorithm are hybridized to realize efficient and intelligent decision-making of machining operation method for STEP-NC-compliant freeform surface features by using the normalized machining information of parts. Finally， a case study is made to verify the effectiveness and feasibility of the proposed method.

Key words: STEP-NC; freeform surface; decision-making of machining operation method; BP neural network; improved artificial fish swarm algorithm

CLC Number:

TH166

ZHANG Yu， HE Kai-wen， LI Qing-shu， GONG Ya-dong. Intelligent Decision-Making of Machining Operation Method for STEP-NC-Compliant Freeform Surface Features[J]. Journal of Northeastern University(Natural Science), 2022, 43(7): 981-987.

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