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Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]

This research aimed to predict the residual stress of additively manufactured rectangular specimen using Selective Laser Melting (SLM) by means of non-linear numerical computation based on Thermo-mechanical method (TMM). The procedure started with the geometrical and material modelling of rectangula...

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Main Authors: Stoschka, Micheal, -, Liyana Balqis, Fladischer, Stefan, Taufek, Thoufeili, HP Manurung, Yupiter, Adenan, Mohd Shahriman, Krishnamoorthy, Renga Rao
Format: Article
Language:English
Published: Smart Manufacturing Research Institute (SMRI) 2023
Subjects:
X-rays
TA Engineering. Civil engineering
Online Access:https://ir.uitm.edu.my/id/eprint/86017/1/86017.pdf
https://ir.uitm.edu.my/id/eprint/86017/
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spelling my.uitm.ir.860172023-10-29T14:09:17Z https://ir.uitm.edu.my/id/eprint/86017/ Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.] jaeds Stoschka, Micheal -, Liyana Balqis Fladischer, Stefan Taufek, Thoufeili HP Manurung, Yupiter Adenan, Mohd Shahriman Krishnamoorthy, Renga Rao X-rays TA Engineering. Civil engineering This research aimed to predict the residual stress of additively manufactured rectangular specimen using Selective Laser Melting (SLM) by means of non-linear numerical computation based on Thermo-mechanical method (TMM). The procedure started with the geometrical and material modelling of rectangular specimen with regard to Austenitic Stainless Steel 316L (SS316L) in which the temperature dependent material data properties such as Young’s Modulus, Thermal Expansion Coefficient, Specific Heat Capacity and Thermal Conductivity were considered. The next phase consisted of numerical computation procedure in which the specimen was positioned 60° of inclination angle from the substrate plate. The support structure was to be generated within the lower surface of the specimen in order to avoid the material from collapsing during printing process. Laser heat source was modelled based on the laser beam width, power, efficiency and scanning speed in order for the numerical computation to accurately predict the thermal problem of SLM process. Furthermore, layer parameters used to fabricate the specimen such as hatch distance, hatch scan width and layer thickness were taken into TMM consideration. Similar set-up from numerical computation by means of laser and layer parameters to fabricate SS316L rectangular specimen was utilized in real fabrication process using SLM machine, Renishaw RenAM 500E. After fabrication of the specimen, electropolishing as for the sample preparation of X-Ray Diffraction (XRD) measurement was conducted by means of various depths on both sides of the specimen. For the validation procedure, residual stress on every depth was analysed and compared with the result from numerical computation. In conclusion, TMM simulation forecasted an acceptable residual stress of SLM product with relative error up to 14% and the computational time taken to predict the residual stress was only 56 minutes. This exploratory research using TMM simulation to predict residual stress of SLM product could benefit metal additive manufacturing (MAM) production as a whole by neglecting expensive trial and error approach. Smart Manufacturing Research Institute (SMRI) 2023-09 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/86017/1/86017.pdf Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]. (2023) Journal of Applied Engineering Design & Simulation (JAEDS) <https://ir.uitm.edu.my/view/publication/Journal_of_Applied_Engineering_Design_=26_Simulation_=28JAEDS=29/>, 3 (2): 6. pp. 57-68. ISSN 2805-5756
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic X-rays
TA Engineering. Civil engineering
spellingShingle X-rays
TA Engineering. Civil engineering
Stoschka, Micheal
-, Liyana Balqis
Fladischer, Stefan
Taufek, Thoufeili
HP Manurung, Yupiter
Adenan, Mohd Shahriman
Krishnamoorthy, Renga Rao
Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]
description This research aimed to predict the residual stress of additively manufactured rectangular specimen using Selective Laser Melting (SLM) by means of non-linear numerical computation based on Thermo-mechanical method (TMM). The procedure started with the geometrical and material modelling of rectangular specimen with regard to Austenitic Stainless Steel 316L (SS316L) in which the temperature dependent material data properties such as Young’s Modulus, Thermal Expansion Coefficient, Specific Heat Capacity and Thermal Conductivity were considered. The next phase consisted of numerical computation procedure in which the specimen was positioned 60° of inclination angle from the substrate plate. The support structure was to be generated within the lower surface of the specimen in order to avoid the material from collapsing during printing process. Laser heat source was modelled based on the laser beam width, power, efficiency and scanning speed in order for the numerical computation to accurately predict the thermal problem of SLM process. Furthermore, layer parameters used to fabricate the specimen such as hatch distance, hatch scan width and layer thickness were taken into TMM consideration. Similar set-up from numerical computation by means of laser and layer parameters to fabricate SS316L rectangular specimen was utilized in real fabrication process using SLM machine, Renishaw RenAM 500E. After fabrication of the specimen, electropolishing as for the sample preparation of X-Ray Diffraction (XRD) measurement was conducted by means of various depths on both sides of the specimen. For the validation procedure, residual stress on every depth was analysed and compared with the result from numerical computation. In conclusion, TMM simulation forecasted an acceptable residual stress of SLM product with relative error up to 14% and the computational time taken to predict the residual stress was only 56 minutes. This exploratory research using TMM simulation to predict residual stress of SLM product could benefit metal additive manufacturing (MAM) production as a whole by neglecting expensive trial and error approach.
format Article
author Stoschka, Micheal
-, Liyana Balqis
Fladischer, Stefan
Taufek, Thoufeili
HP Manurung, Yupiter
Adenan, Mohd Shahriman
Krishnamoorthy, Renga Rao
author_facet Stoschka, Micheal
-, Liyana Balqis
Fladischer, Stefan
Taufek, Thoufeili
HP Manurung, Yupiter
Adenan, Mohd Shahriman
Krishnamoorthy, Renga Rao
author_sort Stoschka, Micheal
title Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]
title_short Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]
title_full Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]
title_fullStr Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]
title_full_unstemmed Residual stress measurements on SS316L specimen using selective laser melting and numerical computation software / Micheal Stoschka ... [et al.]
title_sort residual stress measurements on ss316l specimen using selective laser melting and numerical computation software / micheal stoschka ... [et al.]
publisher Smart Manufacturing Research Institute (SMRI)
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/86017/1/86017.pdf
https://ir.uitm.edu.my/id/eprint/86017/
_version_ 1781709345081262080
score 13.211869

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