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Direct energy deposition metamodeling using a meshless method

Boussad Abbes (Research Group in Engineering Sciences (GRESPI), University of Reims Champagne-Ardenne, Reims, France)
Tahar Anedaf (Research Group in Engineering Sciences (GRESPI), University of Reims Champagne-Ardenne, Reims, France)
Fazilay Abbes (Research Group in Engineering Sciences (GRESPI), University of Reims Champagne-Ardenne, Reims, France)
Yuming Li (Research Group in Engineering Sciences (GRESPI), University of Reims Champagne-Ardenne, Reims, France)

Engineering Computations

ISSN: 0264-4401

Article publication date: 13 July 2020

Issue publication date: 15 June 2021

238

Abstract

Purpose

Direct energy deposition (DED) is an additive manufacturing process that allows to produce metal parts with complex shapes. DED process depends on several parameters, including laser power, deposition rate and powder feeding rate. It is important to control the manufacturing process to study the influence of the operating parameters on the final characteristics of these parts and to optimize them. Computational modeling helps engineers to address these challenges. This paper aims to establish a framework for the development, verification and application of meshless methods and surrogate models to the DED process.

Design/methodology/approach

Finite pointset method (FPM) is used to solve conservation equations involved in the DED process. A surrogate model is then established for the DED process using design of experiments with powder feeding rate, laser power and scanning speed as input parameters. The surrogate model is constructed using neutral networks (NN) approximations for the prediction of maximum temperature, clad angle and dilution.

Findings

The simulations of thin wall built of Ti-6Al-4V titanium alloy clearly demonstrated that FPM simulation is successful in predicting temperature distribution for different process conditions and compare favorably with experimental results from the literature. A methodology has been developed for obtaining a surrogate model for DED process.

Originality/value

This methodology shows how to achieve realistic simulations of DED process and how to construct a surrogate model for further use in optimization loop.

Keywords

Acknowledgements

This work is part of the “MOFASSAL” research program supported by the European Union, the European Regional Development Fund (ERDF) and the Grand-Est Region. Their support is highly appreciated.

Citation

Abbes, B., Anedaf, T., Abbes, F. and Li, Y. (2021), "Direct energy deposition metamodeling using a meshless method", Engineering Computations, Vol. 38 No. 3, pp. 1226-1240. https://doi.org/10.1108/EC-10-2019-0447

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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