Research of EDM(Electrical Discharge Machining) Process Simulation Based on Grey Neural Network

2012 ◽  
pp. 373-379
Author(s):  
Zhongyuan Lin ◽  
Yong Liu ◽  
Litang Zhang
Keyword(s):  
Neural Network ◽  
Process Simulation ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Machining Process Simulation ◽  
Simulation Based

Milling Process Simulation Based on Quadtree-Array Representation

2012 ◽  
Vol 426 ◽  
pp. 247-250
Author(s):  
J.G. Li ◽  
S.D. Gao ◽  
H. Zhao ◽  
J. Ding
Keyword(s):  
Real Time ◽  
Process Simulation ◽  
Milling Process ◽  
Model Representation ◽  
Machining Process ◽  
Cutting Depth ◽  
Simulation Accuracy ◽  
Machining Process Simulation ◽  
Simulation Based ◽  
Discretization Interval

Model representation of workpiece in machining process simulation does directly influence on simulation accuracy and efficiency. The algorithm to acquire cutting width and cutting depth based on quadtree-array representation is discussed in this paper. In milling process simulation, workpiece is represented with quadtree-array and the cutting width and cutting depth are predicted real-time. The results of controlled simulation shows that the predicted cutting depth is accordance with that of the designed and the predicted cutting width is close to that of the designed within accuracy of half a discretization interval.

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