Topological and Parametric Tune and Prune Synthesis of Sheet Metal Parts Compared to Genetic Algorithm

2008 ◽  
Author(s):  
Matthew Campbell ◽  
Jay Patel
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
Metal Parts ◽  
Sheet Metal Parts

The Simple Genetic Algorithm Approach for Optimization of Nesting of Sheet Metal Parts in Blanking Operation

2015 ◽  
Vol 14 (01) ◽  
pp. 41-53 ◽  
Author(s):  
K. Ramesh ◽  
N. Baskar
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
Optimization Problem ◽  
Cutting Stock ◽  
Metal Parts ◽  
Sheet Metal Parts ◽  
Chromosome Representation ◽  
Genetic Algorithm Approach ◽  
Hard Problems ◽  
Maximum Utilization

The two-dimensional (2D) cutting stock is a common problem arising in the sheet metal industries, lock industries, textile industries, etc. Here, the problem is to reduce the wastage in order to increase the profit. This problem is also called as the general 2D problem or NP hard problems. The choice of chromosome representation in genetic algorithm (GA) depends on the variables of the optimization problem being solved. The main objectives of the work are the maximum utilization of part in the sheet and also minimizing the wastage.

Fixture Layout Optimization Based on Social Radiation Algorithm

2014 ◽  
Author(s):  
Yanfeng Xing ◽  
Jun Ni ◽  
Shuhuai Lan
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
Layout Design ◽  
Metal Parts ◽  
Sheet Metal Parts ◽  
Fixture Layout ◽  
The Social ◽  
Long Time ◽  
Fixture Layout Optimization

Sheet metal parts easily deformed during clamping and welding, and fixture layout design is very difficult because it takes a long time to calculate and read displacements of all nodes. This paper proposes a method to optimize fixture scheme by a social radiation algorithm (SRA). Firstly unfeasible candidate nodes are eliminated by some rules according to manufacturing experiences. Afterwards some feasible zones are optimized by SRA. Finally the best fixture layout is obtained through selecting the feasible nodes among the optimal zones. A case study of guiding gutter is used to illustrate the proposed method, and the results show that the social radiation algorithm has better efficiency and higher accuracy than the genetic algorithm.

Experimental and Numerical Analysis of Blanking for Thin Sheet Metal Parts

2001 ◽  
Vol 4 (3-4) ◽  
pp. 319-333
Author(s):  
Vincent Lemiale ◽  
Philippe Picart ◽  
Sébastien Meunier
Keyword(s):  
Numerical Analysis ◽  
Sheet Metal ◽  
Thin Sheet ◽  
Metal Parts ◽  
Sheet Metal Parts ◽  
Thin Sheet Metal

A Feature-based Group Technology Coding System for Sheet Metal Parts

1991 ◽  
Vol 2 (3) ◽  
pp. 263-279 ◽  
Author(s):  
James F. Kimpel ◽  
Larry G. Richards
Keyword(s):  
Sheet Metal ◽  
Group Technology ◽  
Coding System ◽  
Metal Parts ◽  
Sheet Metal Parts ◽  
Feature Based
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