Thermal Error Modeling of a CNC Machine Tool
Chong Zhi Mao, Qian Guo
Abstract
Chong Zhi Mao, Qian Guo
Abstract
The purpose of this research is to improve the machining accuracy of a CNC machine tool through thermal error modeling and compensation. In this paper, a thermal error model based on back propagation networks (BPN) is presented, and the compensation is fulfilled. The results show that the BPN model improves the prediction accuracy of thermal errors on the CNC machine tool, and the thermal drift has been reduced from 15 to 5 after compensation.
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The purpose of this research is to improve the machining accuracy of a CNC machine tool through thermal error modeling and compensation. In this paper, a thermal error model based on back propagation networks (BPN) is presented, and the compensation is fulfilled. The results show that the BPN model improves the prediction accuracy of thermal errors on the CNC machine tool, and the thermal drift has been reduced from 15 to 5 after compensation.
Key concepts: Compensation (psychology), Numerical control, Machine tool, Machining, Thermal, Computer science, Control engineering, Engineering