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The International Journal of Advanced Manufacturing Technology

Erschienen in:

19.07.2022 | Critical Review

Modeling and simulation of metal selective laser melting process: a critical review

verfasst von: Ruihu Zhou, Haisheng Liu, Huifu Wang

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 9-10/2022

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Abstract

As a technology of additive manufacturing (AM), selective laser melting (SLM) is widely used in metal printing, such as super-alloys, stainless steel. Also, the SLM is considered the most potential metal additive manufacturing technology. It is difficult to build a process-performance relationship using traditional physical model, since SLM process is multi parameter and multi-scale. Also, the experimental method takes a long time and is expensive, which requires proposal of a new accurate analytical model and simulation method. The uniqueness of this review includes discussions on the model and simulation model based on physical theory and data driven. The analytical model based on physical model in SLM is discussed. In order to solve the nonlinear equation in the physical model, the numerical method that used FEM software is summarized. With the development of machine learning method, the machine learning based on data driven is used in SLM process optimization. The discussion and future trends of three methods are proposed in order to solve the gap between laboratory and industry.

Vorheriger Artikel Digital twin applications in aviation industry: A review

Nächster Artikel Correlation research on multi-field coupling of multi-track overlapping laser cladding process for nodular cast iron

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Titel: Modeling and simulation of metal selective laser melting process: a critical review
verfasst von: Ruihu Zhou
Haisheng Liu
Huifu Wang
Publikationsdatum: 19.07.2022
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 9-10/2022
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-022-09721-z

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