Design of Heat-treated Alloy Steels Using Intelligent Multi-objective Optimisation

スポンサーリンク

概要

• 論文の詳細を見る

• In this paper, a new mechanism is presented to address the multi-objective optimal alloy design problem, which consists of finding the ‘best’ processing parameters and the corresponding chemical compositions to achieve certain pre-defined mechanical properties of steels. Fuzzy modelling has been used to establish the required mechanical properties which facilitate the Particle Swarm based multi-objective optimisation mechanism. Hence, an adaptive weighted PSO algorithm is developed to improve the performance of the standard PSO algorithm. Based on the established tensile strength and impact toughness fuzzy prediction models, the proposed algorithm has been successfully applied to the optimal design of heat-treated alloy steels. The experimental results have shown that the algorithm can locate the constrained optimal solutions quickly and provide a useful and effective guide for alloy steels design.

• 社団法人 日本鉄鋼協会の論文
• 2005-05-15

著者

• Linkens D.

  Univ. Sheffield Sheffield Gbr

• LINKENS D.

  Institute for Microstructural and Mechanical Processing Engineering, The University of Sheffield

• MAHFOUF M.

  Institute for Microstructural and Mechanical Process Engineering (IMMPETUS), Department of Automatic

• CHEN M.

  Institute for Microstructural and Mechanical Process Engineering (IMMPETUS), Department of Automatic

• Mahfouf M.

  Institute For Microstructural And Mechanical Process Engineering (immpetus) Department Of Automatic

関連論文

• Fabrication of High Performance Magnesium/Carbon-Fiber/PEEK Laminated Composites
• Fuzzy Model-based Charpy Impact Toughness Assessment for Ship Steels
• Design of Heat-treated Alloy Steels Using Intelligent Multi-objective Optimisation

スポンサーリンク