Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/98141
Author(s): Catarina F. Castro
Carlos C. António
Luísa C. Sousa
Title: Pareto-based multi-objective hot forging optimization using a genetic algorithm
Issue Date: 2010
Abstract: Efficient control techniques must be preceded by well-designed processes. A generally accepted definition of awell-designed process is one that is Pareto optimal, i.e., no design objective can be improved without degrading atleast one other design objective. Indeed, optimal design enables effective trade-off of competing design objectives,including controllability and robustness goals.The main goal of the present work is the design of a Pareto-based multi-objective optimization model formulti-stage hot forging processes. The optimization methodology considers a genetic algorithm supported by anelitist strategy. An iterative procedure is considered and Pareto optimal solutions are found managing the drawingof the Pareto front and enabling the extraction of optimal solutions according to selected preferences. The designexample consists of a two-stage forging process applied to a pre-heated billet of AISI 1018 steel. Two sets ofvariables are considered: shape design variables and process variables. The objective functions are related to theminimization of the forging load, the control of the forged shape and the material microstructure.
Subject: Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
Scientific areas: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
URI: https://repositorio-aberto.up.pt/handle/10216/98141
Source: EngOpt 2010
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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