Research on Thermal Error Compensation Technology of Grinding Machine Based on Neural Networks

摘要：

In order to fulfill the thermal error modeling of precision abrasive machining, a neural networks model is presented through analyzing thermal error sources of the grinding machine, the structure and algorithm of the neural networks is expatiated then; And because of reasonable sample and systematical training, the accuracy of thermal error models is improved. The hardware system for thermal error compensation is proposed finally, and an experiment is accomplished on the grinding machine. The result shows thermal errors is reduced from 6μm to 1μm.

关键词： Thermal error compensation Neural Networks Grinding machine Abrasive machining

作者: Qianjian Guo Jianguo Yang Xiaoni Qi

作者单位: Shanghai Jiao Tong University, Shanghai,China Shanghai Jiao Tong University, Shanghai, China

会议类型: 国际会议

会议名称: 第14届全国磨粒技术学术会议(14th Conference of Abrasive Technology in China)

会议地点: 南京

会议语种:英文

页码: 569-573

在线出版日期: 2007-10-26（万方平台首次上网日期，不代表论文的发表时间）