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《Machine Tool & Hydraulics》 2013-07
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Processing Error Prediction for 6-UPU Parallel Machine Tool Based on BP Neural Network

HAN Shaomin,ZHAO Qingzhi,XIN Qingjie,ZHAO Sen(School of Mechanical Engineering,Shandong University of Technology,Zibo Shandong 255049,China)  
A study on the processing of an aluminum shell component with a 6-UPU parallel machine tool was made.The sample data of the finish size error were extracted and a model for the finish size error prediction was set up by using BP neural network.Through analyzing the error of 6-UPU teaching parallel machine tool,the processing principle of the experimental data and sample data was put forward,with overall consideration about the processing situations.The proposed prediction of processing error based on BP neural network has strong practicability and advanced nature,and it can effectively improve the machining precision,and it also provides a new way to improve the accuracy of the open loop numerical control system.
【CateGory Index】: TG65;TP183
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