标题:Thermal error prediction and compensation of YK3610 hobbing machine based on BP neural networks
作者:Guo, Qianjian ;Xu, Rufeng ;Qi, Xiaoni
作者机构:[Guo, Qianjian ;Xu, Rufeng ] School of Mechanical Engineering, Shandong University of Technology, Zibo, China;[Qi, Xiaoni ] School of Transportation a 更多
通讯作者:Guo, Qianjian
来源:Open Mechanical Engineering Journal
出版年:2015
卷:9
期:1
页码:678-681
DOI:10.2174/1874155X01509010678
摘要:In this study, error compensation technology was proposed to reduce thermal errors of a gear hobbing machine, and one experiment was carried out to verify the compensation effect. Different thermal sources were used as modeling variables, and a prediction model of thermal errors was presented based on back propagation (BP) neural networks. In order to solve local minimum problem of BP neural networks, ant colony algorithm was used for training its link weights. Finally, one test system was developed based on the presented model, and an experiment was fulfilled. The result shows that prediction performance of the model is very well, and the residual error is less than 5 μm after compensation. © Guo et al.
收录类别:EI
资源类型:期刊论文
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