Model fusion using fuzzy aggregation: Special applications to metal properties

被引:4
作者
Zhang, Qian [1 ]
Mahfouf, Mahdi [1 ]
Yates, John R. [2 ]
Pinna, Christophe [3 ]
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
[2] Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M60 1QD, Lancs, England
[3] Univ Sheffield, Dept Mech Engn, Sheffield S1 3JD, S Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Data-driven modelling; Fuzzy system; Model fusion; Engineering material; Residual stress; Mechanical property; Aluminium alloy; Steel; RESIDUAL-STRESSES; OPTIMAL-DESIGN; SYSTEMS; COMPLEXITY; STABILITY; ALGORITHM;
D O I
10.1016/j.asoc.2012.01.021
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To improve the modelling performance, one should either propose a new modelling methodology or make the best of existing models. In this paper, the study is concentrated on the latter solution, where a structure-free modelling paradigm is proposed. It does not rely on a fixed structure and can combine various modelling techniques in 'symbiosis' using a 'master fuzzy system'. This approach is shown to be able to include the advantages of different modelling techniques altogether by requiring less training and by minimising the efforts relating optimisation of the final structure. The proposed approach is then successfully applied to the industrial problems of predicting machining induced residual stresses for aerospace alloy components as well as modelling the mechanical properties of heat-treated alloy steels, both representing complex, non-linear and multi-dimensional environments. (C) 2012 Elsevier B. V. All rights reserved.
引用
收藏
页码:1678 / 1692
页数:15
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