Abstract
The purpose of this research is to improve the machining accuracy of YK3610 Hobbing machine through thermal error compensation. This study presents the whole process of thermal error modeling and compensation by using Back Propagation Network (BPN) and ant colony optimization is introduced into the training of BPN. The results show that the BPN model based on ant colony algorithm improves the prediction accuracy of thermal errors on the gear hobbing machine and the thermal drift has been reduced from 14.2 μm to 4.5 μm after compensation.
Highlights
Among the sources of machine error, thermally induced errors account for 70 percent of the total errors, Ni (1997) presents real-time error compensation methods to reduce thermally induced machine tool errors
A lot of research work concentrated on thermal error modeling has been conducted, such as successive regression analysis, different kinds of neural networks, grey system theory, multi-body system theory
Back Propagation Network (BPN) method based on Ant Colony Algorithm (BPN-ACO) is proposed to predict the thermal errors, which improves the accuracy of thermal error model
Summary
Among the sources of machine error, thermally induced errors account for 70 percent of the total errors, Ni (1997) presents real-time error compensation methods to reduce thermally induced machine tool errors. Srinivasa and Ziegert (1996) develop a neural network model used to predict thermally induced errors in machine tools and the machine model is further tested using random thermal duty cycles. The method uses the dynamic neural network model to track nonlinear time-varying machine tool errors under various thermal conditions. Chen (1996) presents a neural network model for on-line thermal error monitoring and the spindle thermal errors of a vertical machining centre were reduced by 70% after compensation. BPN method based on Ant Colony Algorithm (BPN-ACO) is proposed to predict the thermal errors, which improves the accuracy of thermal error model. A high-accuracy thermal error compensation system based on the proposed BPN-ACO model has been developed to compensate for the thermal errors on YK3610 hobbing machine effectively
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