摘要
目的研究STEP-NC数控铣削加工中铣削加工参数的选择,建立基于STEP-NC数控铣削系统的知识库.方法在VC++6.0环境下,基于人工神经网络技术构建知识库,应用改进的BP算法优化铣削加工参数.结果STEP-NC数控铣削知识库依据输入的加工材料、加工特征、刀具信息等条件,快捷且合理地优选出了铣削加工参数,并将数据传输给数控系统中的刀具路径生成器.结论STEP-NC数控铣削知识库具有自适应和自学习的能力,铣削加工参数的优化提高了数控加工质量和加工效率.
The purpose of this paper is to construct a repository of milling CNC system based on STEP-NC in order to select milling parameter accurately during the STEP-NC milling process. In the environment of VC ＋＋ 6. 0, Artificial Neural Network technology is used to construct the repository, and the improved BP algorithm is applied to optimize milling parameters. According to the qualifications input, such as machining material, machining features, tool information and so on, the STEP-NC milling repository can select the mill- ing parameter fleetly and accurately, and then transport the data to the tool path generator. According to the above ,the STEP-NC milling repository is provided with auto-adapted and self-learning ability ,and the optimization of milling parameters can improve the quality and efficiency of NC machining.
出处
《沈阳建筑大学学报（自然科学版）》
CAS
北大核心
2009年第5期987-992,共6页
Journal of Shenyang Jianzhu University：Natural Science
基金
国家外专局引智项目(20082100187)
辽宁省重点实验室开放基金项目(JX-200609)
辽宁省重点实验室开放基金项目(JX-200703)
沈阳市科技局基金项目(1071211-1-100-3)
