Design for material properties of additively manufactured metals using topology optimization

Journal Article (2023)
Author(s)

Vibhas Mishra (TU Delft - Materials and Manufacturing, TU Delft - Computational Design and Mechanics)

Can Ayas (TU Delft - Computational Design and Mechanics)

M Langelaar (TU Delft - Computational Design and Mechanics)

Research Group
Computational Design and Mechanics
Copyright
© 2023 V. Mishra, C. Ayas, Matthijs Langelaar
DOI related publication
https://doi.org/10.1016/j.matdes.2023.112388
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 V. Mishra, C. Ayas, Matthijs Langelaar
Research Group
Computational Design and Mechanics
Volume number
235
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In metal Additive Manufacturing (AM), the deposited material is subjected to a series of heating and cooling cycles. The locally occurring temperature extremes and cooling rates determine solid-state phase fractions, material microstructure, texture, and ultimately the local material properties. As the shape of a part determines the local thermal history during AM, this offers an opportunity to influence these material properties through design. In this paper, we present a way to obtain desired properties by controlling the local thermal history. This is achieved through topology optimization of the printed part while considering its entire transient thermal history. As an example of this approach, this work focuses on high strength low alloy steels, where resulting phase fractions significantly influence mechanical properties such as yield strength and ductility. These solid-state phase fractions depend on cooling rates in a particular critical temperature range. The phase composition and hence the local yield strength in target regions can be controlled by constraining the cooling time in this range. Numerical examples illustrate the capability of the proposed approach in adapting part designs to achieve various desired material properties.