Multi-Objective Optimisation of Hot Forging Processes using a Genetic Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

C. F. Castro (Author) FEUP; C. C. António (Author) FEUP; L. C. Sousa (Author) FEUP

Conference proceedings International

Title: Proceedings of The Tenth International Conference on Computational Structures Technology

Pages: 1-11

The Tenth International Conference on Computational Structures Technology

Valencia-Spain, 14 a 17 de Setembro de 2010

Indexing

ISI Proceedings

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences

Other information

Authenticus ID: P-009-5RK

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

Notes: Livro de resumos: paper 129; CD-ROM: 11 páginas

No. of pages: 11