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《China Mechanical Engineering(中国机械工程)》 2004-06
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Grouping Optimization Modeling by Selection of Temperature Variables for the Thermal Error Compensation on Machine Tools

Yang Jianguo Deng Weiguo Ren Yongqiang Li Yuansheng Dou Xiaolong Shanghai Jiaotong University, Shanghai, 200030  
A grouping optimization modeling for the thermal errors of NC machine tools was presented. First, all of the temperature variables were grouped by the correlation between one another. Then, the representative ones which have the most strongly correlated relationship with the thermal errors of the machine were found from each group. Last, optimal combination of the temperature variables used in modeling was found by corresponding criteria. One modeling example was presented. The variable searching and modeling time is reduced greatly. In addition, the correlation grouping eliminates the coupling problems, so the robustness of the model can be increased and the predicting precision of the model with the optimal combination of the temperature variables is enhanced. The real time compensation will be more effective.
【Fund】: 高等学校全国优秀博士学位论文作者专项资金资助项目 (2 0 0 13 1)
【CateGory Index】: TG659
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