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An optimisation strategy for industrial metal forming processes (CD-ROM)

TLDR
In this paper, the authors proposed a general applicable optimisation strategy that makes use of FEM simulations of metal forming processes, which can be applied to a hydroforming process in general and more specific to a specific metal forming problem.
Abstract
Product improvement and cost reduction have always been important goals in the metal forming industry. The rise of finite element (FEM) simulations for processes has contributed to these goals in a major way. More recently, coupling FEM simulations to mathematical optimisation techniques has shown the potential to make a further giant contribution to product improvement and cost reduction. Much research on the optimisation of metal forming processes has been published during the last couple of years. Although the results are impressive, the optimisation techniques are generally only applicable to specific optimisation problems for specific products and specific metal forming processes. As a consequence, applying optimisation techniques to other metal forming problems requires a lot of optimisation expertise, which forms a barrier for more general industrial application of these techniques. In this paper, we overcome this barrier by proposing a generally applicable optimisation strategy that makes use of FEM simulations of metal forming processes. It consists of a structured methodology for modelling optimisation problems related to metal forming. Subsequently, screening is applied to reduce the size of the optimisation problem by selecting only the most important design variables. Finally, the reduced optimisation problem is solved by an efficient optimisation algorithm. The strategy is generally applicable in a sense that it is not constrained to a certain type of metal forming problem, product or process. Also, any FEM code may be included in the strategy. Furthermore, the structured approach for modelling and solving optimisation problems should enable non-optimisation specialists to apply optimisation techniques to improve their products and processes. The optimisation strategy has been successfully applied to a hydroforming process, which demonstrates the potential of the optimisation of metal forming processes in general and more specific the proposed optimisation strategy.

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Citations
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Analyse et implantation d'un outil d'optimisation numérique des paramètres de martelage

TL;DR: In this article, a methodology for analyzing and optimizing the parametres de martelage is presented, which is called the methode SAO (Sequential Approximate Optimization).
References
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Journal ArticleDOI

The design and analysis of computer experiments

TL;DR: This paper presents a meta-modelling framework for estimating Output from Computer Experiments-Predicting Output from Training Data and Criteria Based Designs for computer Experiments.
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Response surface methodology

TL;DR: In this article, the Response Surface Methodology (RSM) is used for scheduling and scheduling in response surface methodologies, and it is shown that it can be used in a variety of scenarios.
Journal ArticleDOI

Designs for Computer Experiments

TL;DR: The issues of choice of stochastic-process model and computation of efficient designs are addressed, and applications are made to some chemical kinetics problems.
Book

Design for Six Sigma: A Roadmap for Product Development

Kai Yang, +1 more
TL;DR: This book discusses the design process for Six Sigma, six Sigma and Lean Fundamentals, and the design optimization process for Taguchi's Robust Parameter Design, as well as other topics.