Research On Grinding Force And Surface Roughness Based On The Abrasive Belt Grinding To Magnesium Alloy

被引：1
|
作者：
Huang, Yun [1 ,2 ]
Li, Xin [1 ,2 ]
Luo, Suqin [3 ]
Huang, Zhi [1 ,2 ]
机构：
[1] Chongqing Mat Surface Precis Machining & Whole Se, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Coll Mech Engn, Chongqing 400044, Peoples R China
[3] Chongqing Univ, Coll Mat Sci & Engn, Chongqing 400044, Peoples R China
来源：
MATERIALS RESEARCH, PTS 1 AND 2 | 2009年 / 610-613卷
关键词：
Artificial Neural Network Algorithm; Belt Grinding; Magnesium Alloy; Grinding Force; Surface Roughness;
D O I：
10.4028/www.scientific.net/MSF.610-613.915
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Magnesium alloy matrix quality is important for the quality of coating oil the surface, and thus affecting the final performance of magnesium alloy. This paper developed a method to the abrasive belt grinding as a pre-treatment process for magnesium alloy. Based oil the orthogonal test in the abrasive belt grinding of magnesium alloy, the effect of the processing parameters oil grinding force and roughness has been studied. Finally. a predicting model of the grinding force and surface roughness was established by means of the neural networks. This model was verified from both the theoretical and experimental facets. The results showed that the model call be used to describe the influence of some machine tool inputs
引用
收藏
页码：915 / 919
页数：5
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