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Details for article 2 of 11 found articles
| Title: |
Applications of evolutionary algorithms to sheet metal forming processes: A review |
| Author: |
Kakandikar G.M. Darade P.D. Nandedkar V.M. |
| Appeared in: |
International journal of machine intelligence |
| Paging: | Volume 1 (2009) nr. 2 pages 47-49 |
| Year: |
2009 |
| Contents: |
Metal forming processes are compression-tension processes involving wide spectrum ofoperations and flow conditions. The result of the process depends on the large number of parameters andtheir interdependence. The selection and optimization of various parameters is still based on trial and errormethods. In this paper the authors presents a compressive study of application of evolutionary strategies tooptimize the geometry parameters such as die design and punch design, process parameters such asforming load, blank holder pressure and coefficient of friction, the spring back, hammering sequence etc.Evolutionary algorithms offer many advantages over traditional methods. These are widely used now daysfor sheet metal industry. |
| Publisher: |
Bioinfo Publications (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 11 found articles
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