Kao, A ORCID: 0000-0002-6430-2134 , Tonry, C ORCID: 0000-0002-8214-0845 , Soar, P ORCID: 0000-0003-1745-9443 , Krastins, I, Fan, X, Lee, PD and Pericleous, K ORCID: 0000-0002-7426-9999 (2023) Modulating meltpool dynamics and microstructure using thermoelectric magnetohydrodynamics in additive manufacturing. In: IOP Conference Series: Materials Science and Engineering. IOP Conference Series: Materials Science and Engineering, 1281 . IOP Publishing Ltd, 012022. ISSN 1757-8981 (Print), 1757-899X (Online) (doi:https://doi.org/10.1088/1757-899X/1281/1/012022)

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Abstract

Meltpool modulation in Selective Laser Remelting Additive Manufacturing via an oscillating magnetic field generates Thermoelectric Magnetohydrodynamics (TEMHD) flow. Numerical predictions show that the resulting microstructure can be significantly altered. A multi-scale numerical model captures the meso-scale melt pool dynamics coupled to microscale solidification showing the microstructure evolution and solute redistribution. The results highlight the complex interaction of the various physical phenomena and also show the method’s potential to disrupt the epitaxial growth defect. The model predictions are supported by preliminary experimental results that demonstrate the dependency of the melt pool depth on magnetic field orientation. The results highlight how a time-dependent field has the potential to provide an independent control mechanism to tailor microstructures.

Item Type:	Conference Proceedings
Title of Proceedings:	IOP Conference Series: Materials Science and Engineering
Uncontrolled Keywords:	meltpool dynamics, additive manufacturing, thermoelectrics, MHD
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	07 Mar 2024 15:25
URI:	http://gala.gre.ac.uk/id/eprint/42734

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