Temperature control in powder bed fusion of metals via inverse-designed laser beam shapes

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Authors: Vijaya Holla, Jonas Grünewald, Richard Off, Ruihang Dai, Philipp M. Kopp, Katrin Wudy, Stefan Kollmannsberger
Cited by: 1
References: 21

Abstract

Modern beam shaping technology provides much flexibility in customizing laser-based powder bed fusion of metals (PBF-LB/M). This work introduces several new laser beam shapes by gradient-based optimization of the temperature field obtained by a conduction-based simulation. The goal is to produce rectangular melt tracks with different levels of temperature control inside the melt pool. Choosing axi-symmetric, laterally symmetric, and unconstrained beam shape parametrizations automatically constrains the optimization to different machine capabilities and scan strategy requirements. The new beam shapes are experimentally reproduced using a highly flexible beam shaping setup based on spatial light modulators. The differences in melt track dimensions generally stay well below 20 % compared to micrograph images. The simulated surface temperatures agree well with the measurements performed by multispectral imaging (MSI), a novel technique for obtaining absolute temperature maps. Relaxing the beam shape constraints results in a closer match to the optimization target, highlighting the advantages of flexible beam shaping. Limiting the liquid temperatures reduces the simulated maximum temperature inside the melt pool by up to 46 %. The experimental validation of such a diverse set of inverse-designed laser beam shapes demonstrates that numerical optimization can guide advanced beam shaping for improved process control in PBF-LB/M. The presented methodology, including the optimization code, is made available under an MIT license.

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Additive Manufacturing and 3D Printing Technologies Laser Material Processing Techniques

Publication details

Journal / source
Additive manufacturing
Publisher
Elsevier BV
Volume
123
Pages
105206–105206
Publication date
25 April 2026
Language
EN