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车间多机床热误差补偿技术研究

Research on Thermal Error Compensation Technology of Multi-machine Tools in Workshop
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摘要 针对车间多机床热误差补偿问题,提出了一种温度分布式采集、集中式建模计算的方法。下位机终端以STM32F1为核心,实现机床敏感点温度采集、补偿值数控系统交换等;上位机服务系统采用.NET平台AForge框架开发,并基于机床特性构建相应的粒子群优化BP神经网络热误差模型,实现了异构机床的集中热误差补偿计算。通过无线路由器及WDS无线桥接功能模块,扩展无线网络空间范围,热误差补偿终端与上位机服务基于Modbus TCP协议通信。通过功能测试及性能验证,上下位机系统工作稳定,具有良好灵活性及扩展性,有效简化了车间多机床的热误差补偿过程。 aiming at the problem of thermal error compensation of multi-machine tools in workshop, a method of distributed temperature acquisition and centralized modeling and calculation is proposed. STM32 F1 is used as the core of the lower computer terminal to realize the temperature acquisition of machine sensitive points and the exchange of compensation value in NC system. The upper computer service system is developed with the framework of.NET platform AForge, and the corresponding BP neural network thermal error model is constructed based on the characteristics of machine tools, which realizes the centralized thermal error compensation calculation of heterogeneous machine tools. The wireless network space range is extended by the wireless router and the WDS wireless bridge function module, and the thermal error compensation terminal communicates with the host computer service based on the Modbus TCP protocol. Through functional testing and performance verification, the system works stably, has good flexibility and expansibility, and effectively simplifies the thermal error compensation process of multi-machine tools in workshop.
作者 李波 鲁壮 张文 姜涛 LI Bo;LU Zhuang;ZHANG Wen;JIANG Tao(School of Mechanical Engineering, HuBei University of Arts and Science, Xiangyang Hubei 441053, China;School of Automobile and Traffic Engineering,Wuhan University of Science and Technology, Wuhan 430081,China)
出处 《组合机床与自动化加工技术》 北大核心 2019年第5期94-97,共4页 Modular Machine Tool & Automatic Manufacturing Technique
基金 国家04重大专项(2017ZX04011015) "机电汽车"湖北省优势特色学科群开放基金项目资助(XKQ2018079) 湖北省中央引导地方科技发展专项(2018ZYYD016)
关键词 热误差补偿 无线网络 多机床 神经网络 thermal error compensation wireless network multi-machine tool neural networks
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