Comparison Studies of Electrical Discharge Machining (EDM) Process Model for Low Gap Current

被引：13
|
作者：
Yahya, Azli [1 ]
Andromeda, Trias [1 ]
Minhat, Ade Erawan [1 ]
Khamis, Nor Hisham [1 ]
Kalil, Kamal [1 ]
Rahim, Muhammad Arif Abdul [1 ]
机构：
[1] Fac Elect Engn, Skudai, Johor, Malaysia
来源：
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词：
Electrical Discharge Machining; Dimensional Analysis; Artificial Neural Network; MRR; FUZZY-LOGIC; OPTIMIZATION;
D O I：
10.4028/www.scientific.net/AMR.433-440.650
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper aims to compare the material removal rate, (v) over dot between a Dimensional Analysis (DA) model, an Artificial Neural Network (ANN) model and an experimental result for a low gap current of an Electrical Discharge Machining (EDM) process. The data analysis is based on a copper electrode and steel workpiece materials. The DA and ANN model that have been developed and reported earlier by authors are used to compare the material removal of EDM process. The result indicated that the ANN model provides better accuracy towards the experimental results.
引用
收藏
页码：650 / 654
页数：5
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