Eliminating forging defects using genetic algorithms

• Tipo: Artigo em Revista Científica Internacional
• Data: 2005

Autores

antonio, cc (Autor) FEUP; castro, cf (Autor) FEUP; sousa, lc (Autor) FEUP

Revista

Título: Materials and Manufacturing Processes

Vol. 20 Nº 3

Páginas: 509-522

ISSN: 1042-6914

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 19 Citações

Scopus - 24 Citações

Outras Informações

ID Authenticus: P-000-688

DOI: 10.1081/amp-200053557

Abstract (EN): In this article, an optimization method for metal forging process designs using finite element-based simulation is presented. Using as entry parameters the specifications of the final product the so-called inverse techniques developed for optimization problems allows the calculation of the optimal solution, the design parameters that produce the required product. An evolutionary genetic algorithm is proposed to calculate optimal shape geometry and temperature. An example demonstrating the efficiency of the developed method is presented considering a two-stage hot forging process. It considers optimization of the process parameters to reduce the difference between the realized and the prescribed final forged shape under minimal energy consumption, restricting the maximum temperature.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14