数控机床进给机构智能设计优化系统

发布时间：2018-03-04 13:30

本文选题：数控机床　切入点：进给机构　出处：《农业机械学报》2017年05期 　论文类型：期刊论文

【摘要】：针对制造业智能化对数控机床加工精度的需求问题,构造了一种数控机床进给机构智能设计优化系统。该系统由需求分析模块、常规设计模块、智能优化模块以及设计资源中心所组成,在数控机床进给机构设计过程中能实现知识集成、数据交换与模型共享。该系统面向数控机床进给机构动静态性能要求,分别进行参数化建模、有限元仿真和热-力耦合分析,为进给机构的优化设计提供理论依据。该系统在数控机床进给机构常规设计的基础上,采用灵敏度分析法、BP神经网络和遗传算法对进给机构进行结构多目标优化,从而提高系统的智能设计水平。采用所构造的系统对一种精密龙门数控机床的Y轴进给机构进行智能设计优化,优化后进给机构的动静态性能得到提高,对比进给机构的优化结果与实验值,结果表明该智能设计优化系统是合理可行的。
[Abstract]:Aiming at the demand of manufacturing intelligence for NC machine tool machining precision, an intelligent design and optimization system of NC machine tool feed mechanism is constructed, which is composed of demand analysis module and conventional design module. The intelligent optimization module and the design resource center can realize knowledge integration, data exchange and model sharing in the process of NC machine tool feed mechanism design. Parametric modeling, finite element simulation and thermal-mechanical coupling analysis are carried out respectively to provide theoretical basis for optimal design of feed mechanism. The system is based on the conventional design of feed mechanism of NC machine tool. The sensitivity analysis method is used to optimize the structure of the feed mechanism with BP neural network and genetic algorithm. In order to improve the intelligent design level of the system, the intelligent design optimization of the Y-axis feed mechanism of a precision gantry CNC machine tool is carried out by using the constructed system, and the dynamic and dynamic performance of the feed mechanism is improved after the optimization. The results show that the intelligent design optimization system is reasonable and feasible.
【作者单位】：海南大学机电工程学院;重庆工商大学机械工程学院;农业部南京农业机械化研究所测试中心;南京航空航天大学机电学院;
【基金】：国家自然科学基金项目(51405115) 海南省自然科学基金项目(20165195)
【分类号】：TG659

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