Multi-Objective Optimisation of Hot Forging Processes using a Genetic Algorithm
Searching for good design solutions within the industrial forging environment is necessary to improve the quality and overall productivity of the processes. Multi-objective optimisation design for multi-stage processes is a complex problem involving large number of design variables and sequential re...
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| Outros Autores: | , |
| Formato: | book |
| Idioma: | eng |
| Publicado em: |
2010
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| Assuntos: | |
| Texto completo: | https://hdl.handle.net/10216/93229 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/93229 |
| Resumo: | Searching for good design solutions within the industrial forging environment is necessary to improve the quality and overall productivity of the processes. Multi-objective optimisation design for multi-stage processes is a complex problem involving large number of design variables and sequential relationships between any two stages. The aim of this paper is to propose a novel framework to handle real-life hot forging optimisation problems considering a genetic algorithm based technique. A Pareto-based multi-objective optimisation model for multi-stage hot forging processes is developed. Using a case study of a two stage forging upsetting, the algorithm has been able to converge to the Pareto front identifying near optimal designs for the forging process. |
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