面向STEP-NC自由曲面特征的加工操作方法智能决策

doi:10.12068/j.issn.1005-3026.2022.07.010

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (7): 981-987.DOI: 10.12068/j.issn.1005-3026.2022.07.010

面向STEP-NC自由曲面特征的加工操作方法智能决策

张禹，何楷文，李清书，巩亚东

(东北大学机械工程与自动化学院，辽宁沈阳110819)

发布日期:2022-08-02
通讯作者: 张禹
作者简介:张禹(1979-)，男，辽宁鞍山人，东北大学副教授；巩亚东(1958-)，男，辽宁本溪人，东北大学教授，博士生导师.
基金资助:
中央高校基本科研业务费专项资金资助项目(N180313010)；辽宁省自然科学基金资助项目(2019-MS-124).

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

ZHANG Yu， HE Kai-wen， LI Qing-shu， GONG Ya-dong

School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.

Published:2022-08-02
Contact: ZHANG Yu
About author:-
Supported by:
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摘要/Abstract

摘要： 为提升复杂零件工艺规划的集成化和智能化，提出一种基于混合算法面向STEP-NC自由曲面特征的加工操作方法智能决策方法.首先，构建了面向STEP-NC自由曲面特征的加工操作方法决策BP神经网络模型.然后，基于自适应视野策略、自适应步长策略和混沌算法给出了改进的人工鱼群算法，并与BP神经网络相融合设计了用于STEP-NC自由曲面特征加工操作方法决策的混合算法.并利用归一化的零件加工信息实现了STEP-NC自由曲面特征的加工操作方法高效智能决策.最后，通过实例验证了该方法的有效性和可行性.

关键词: STEP-NC；自由曲面；加工操作方法决策；BP神经网络；改进人工鱼群算法

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

中图分类号:

TH166

张禹，何楷文，李清书，巩亚东. 面向STEP-NC自由曲面特征的加工操作方法智能决策[J]. 东北大学学报（自然科学版）, 2022, 43(7): 981-987.

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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面向STEP-NC自由曲面特征的加工操作方法智能决策

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

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[1]	张禹，李东升，王志伟，巩亚东. 基于图论和改进Dijkstra算法的STEP-NC复杂型腔最短刀具路径生成方法[J]. 东北大学学报:自然科学版, 2020, 41(9): 1285-1291.
[2]	张禹，王志伟，李东升，巩亚东. 基于规则和混合算法的智能STEP-NC微观工艺规划[J]. 东北大学学报:自然科学版, 2020, 41(8): 1116-1122.
[3]	王鹏家，巩亚东，刘永贤，张朝彪. 基于谱系聚类的数控机床模块划分系统[J]. 东北大学学报:自然科学版, 2014, 35(5): 739-742.