The Prediction of Surface Roughness of Parallel Machine Tools Based on the Neural Network

被引：0
|
作者：
Zhao, Changlong [1 ]
Guan, Xuesong [2 ]
机构：
[1] Changchun Univ, Coll Mech & Vehicle Engn, Changchun 130022, Peoples R China
[2] Jilin Univ, Coll Mech Sci & Engn, Changchun 130022, Peoples R China
来源：
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷
关键词：
the parallel machine tool; neural network; robustness; modeling;
D O I：
10.4028/www.scientific.net/AMM.556-562.1328
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Because the parallel machine tool have high speed, high precision, high rigidity and the mechanical structure is simple, the parallel machine tool have been used in many field widely. In the research and application of parallel machine, the effect of processing parameter on machine processing is the most important problem. In the paper the improved artificial neural network is applied to the roughness prediction model of parallel machine tools, the model predict the roughness when the feed rate, spindle speed, processing angle and machining force are changed effectively.
引用
收藏
页码：1328 / 1331
页数：4
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