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Information Processing Based Thermal Error Modelling for A Machine Tool

Rui Zhu, Zhirong Liu

Abstract


A novel concept of thermal error modes analysis is proposed to develop a better understanding of the thermal deformation on a machine tool. The basic thermal error modes for a structural element are the thermal expansion and bending mode. The selection of thermal error sensors location can be improved based on the thermal error modes analysis with finite element method for reference. With thermal error information processing based optimal partition method and stepwise regression, key temperature variables are identified, the number of thermal sensors has been reduced from 16 to 3. The thermal error model has been applied to a machine for verification, and the results show the thermal error model is satisfying for thermal error prediction.

Keywords


mode analysis, sensor location, thermal error information, optimal partition method, error model.

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