Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation

In this study, thermo-mechanical simulation was conducted to predict thermal and stress behavior in Selective Laser Melting (SLM). Temperature-dependent material properties for processed material 304L stainless steel were incorporated into the model in order to capture the change from powder to full...

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Main Authors: Lan Li, Frank Liou
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/11/7/1003
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spelling doaj-12af7e68793449199f1857423df804a12021-07-23T13:53:53ZengMDPI AGMetals2075-47012021-06-01111003100310.3390/met11071003Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental ValidationLan Li0Frank Liou1Department of Mechanical & Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USADepartment of Mechanical & Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USAIn this study, thermo-mechanical simulation was conducted to predict thermal and stress behavior in Selective Laser Melting (SLM). Temperature-dependent material properties for processed material 304L stainless steel were incorporated into the model in order to capture the change from powder to fully dense solid stainless steel. Temperature and thermal stress history were tracked under conditions of different parameter sets which were designed to reduce defect formation. The thermal model predicted the temperature history for multi-track scans under different process parameters, such as laser power, effective scanning speed and hatch spacing. Subsequently, the corresponding melt-pool size, solidification rate and temperature gradients could be calculated from simulated temperature data. These three parameters from the simulation were compared with experimental melt pool size, grain structure and cell spacing data obtained from a Renishaw AM250. The experimental data were also used to determine unknown simulation parameters required by the continuum model, e.g., the optical penetration depth and thermal conductivity multiplier for the molten region. This allowed the simulation model to accurately predict melt pool size and solidification structure of SLM 304L stainless steel. Simulated stress showed that the subsequent thermal cyclic melting in successive scanned tracks resulted in alternating compressive and tensile thermal stresses. This work will provide insight for studying microstructure morphology, residual stress and deformations in the SLM process of 304L stainless steel.https://www.mdpi.com/2075-4701/11/7/1003selective laser melting (SLM)thermo-mechanical analysisprocess parametersmelt-pool sizesolidification structurethermal stresses
collection DOAJ
language English
format Article
sources DOAJ
author Lan Li
Frank Liou
spellingShingle Lan Li
Frank Liou
Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation
Metals
selective laser melting (SLM)
thermo-mechanical analysis
process parameters
melt-pool size
solidification structure
thermal stresses
author_facet Lan Li
Frank Liou
author_sort Lan Li
title Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation
title_short Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation
title_full Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation
title_fullStr Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation
title_full_unstemmed Numerical Investigation of Thermo-Mechanical Field during Selective Laser Melting Process with Experimental Validation
title_sort numerical investigation of thermo-mechanical field during selective laser melting process with experimental validation
publisher MDPI AG
series Metals
issn 2075-4701
publishDate 2021-06-01
description In this study, thermo-mechanical simulation was conducted to predict thermal and stress behavior in Selective Laser Melting (SLM). Temperature-dependent material properties for processed material 304L stainless steel were incorporated into the model in order to capture the change from powder to fully dense solid stainless steel. Temperature and thermal stress history were tracked under conditions of different parameter sets which were designed to reduce defect formation. The thermal model predicted the temperature history for multi-track scans under different process parameters, such as laser power, effective scanning speed and hatch spacing. Subsequently, the corresponding melt-pool size, solidification rate and temperature gradients could be calculated from simulated temperature data. These three parameters from the simulation were compared with experimental melt pool size, grain structure and cell spacing data obtained from a Renishaw AM250. The experimental data were also used to determine unknown simulation parameters required by the continuum model, e.g., the optical penetration depth and thermal conductivity multiplier for the molten region. This allowed the simulation model to accurately predict melt pool size and solidification structure of SLM 304L stainless steel. Simulated stress showed that the subsequent thermal cyclic melting in successive scanned tracks resulted in alternating compressive and tensile thermal stresses. This work will provide insight for studying microstructure morphology, residual stress and deformations in the SLM process of 304L stainless steel.
topic selective laser melting (SLM)
thermo-mechanical analysis
process parameters
melt-pool size
solidification structure
thermal stresses
url https://www.mdpi.com/2075-4701/11/7/1003
work_keys_str_mv AT lanli numericalinvestigationofthermomechanicalfieldduringselectivelasermeltingprocesswithexperimentalvalidation
AT frankliou numericalinvestigationofthermomechanicalfieldduringselectivelasermeltingprocesswithexperimentalvalidation
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