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Soft Computing

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09.05.2020 | Methodologies and Application

Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm

verfasst von: Yun-tao Zhao, Wei-gang Li, Ao Liu

Erschienen in: Soft Computing | Ausgabe 22/2020

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Abstract

In order to obtain good geometry quality in the wire and arc additive manufacture, it is important to select the appropriate process parameters. Firstly, based on the 4-factor and 5-level experiments, the multi-objective mathematical model of process parameters and geometry quality is established by response surface methodology. Secondly, an adaptive grey wolf algorithm for solving multi-objective problems is proposed. The algorithm introduces external Archive, adaptive hunting mechanism, and fusion polynomial mutation mechanism to improve the search ability of the grey wolf algorithm. Experiments show that the Pareto set obtained by the adaptive multi-objective grey wolf algorithm is more diverse and convergent than the other five well-known algorithms. Meanwhile, in order to obtain the desired geometry quality, the TOPSIS algorithm is used to analyze the Pareto set obtained to get the optimal process parameters.

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Titel: Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm
verfasst von: Yun-tao Zhao
Wei-gang Li
Ao Liu
Publikationsdatum: 09.05.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 22/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-020-05027-y

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