Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1016/j.asoc.2012.01.021 | Appl. Soft Comput. |
Keywords | Field | DocType |
metal property,special application,model fusion,fixed structure,structure-free modelling paradigm,fuzzy aggregation,new modelling methodology,aerospace alloy component,different modelling technique,modelling performance,final structure,heat-treated alloy steel,various modelling technique,residual stress,fuzzy system | Aerospace,Mathematical optimization,Fuzzy logic,Mechanical engineering,Fusion,Machining,Residual stress,Alloy,Fuzzy control system,Aluminium alloy,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 6 | 1568-4946 |
Citations | PageRank | References |
2 | 0.39 | 17 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qian Zhang | 1 | 38 | 4.41 |
Mahdi Mahfouf | 2 | 235 | 33.17 |
John R. Yates | 3 | 11 | 3.62 |
Christophe Pinna | 4 | 3 | 0.75 |