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A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm

机译:一种采用生物学启发的多目标优化算法设计热处理合金钢的整体系统新方法

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摘要

The primary objective of this paper is to introduce a new holistic approach to the design of alloy steels based on a biologically inspired multi-objective immune optimisation algorithm. To this aim, a modified population adaptive based immune algorithm (PAIA2) and a multi-stage optimisation procedure are introduced, which facilitate a systematic and integrated fuzzy knowledge extraction process. The extracted (interpretable) fuzzy models are able to fully describe the mechanical properties of the investigated alloy steels. With such knowledge in hand, locating the ‘best’ processing parameters and the corresponding chemical compositions to achieve certain pre-defined mechanical properties of steels is possible. The research has also enabled to unravel the power of multi-objective optimisation (MOP) for automating and simplifying the design of the heat treated alloy steels and hence to achieve ‘right-first-time’ production.
机译:本文的主要目的是基于生物学启发的多目标免疫优化算法,为合金钢设计引入一种全新的整体方法。为此,介绍了一种改进的基于种群自适应的免疫算法(PAIA2)和多阶段优化程序,它们有助于系统和集成的模糊知识提取过程。提取的(可解释的)模糊模型能够完全描述所研究合金钢的机械性能。掌握了这些知识之后,就可以找到“最佳”加工参数和相​​应的化学成分,以实现钢的某些预定的机械性能。这项研究还使人们能够揭示多目标优化(MOP)的功能,以自动化和简化热处理合金钢的设计,从而实现“一次正确的”生产。

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