Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process

This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized...
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Autor*in:	Mohamadreza Afrasiabi [verfasserIn] Christof Lüthi [verfasserIn] Markus Bambach [verfasserIn] Konrad Wegener [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	additive manufacturing LPBF numerical simulation SPH particle refinement

Übergeordnetes Werk:	In: Applied Sciences - MDPI AG, 2012, 11(2021), 7, p 2962
Übergeordnetes Werk:	volume:11 ; year:2021 ; number:7, p 2962

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/app11072962

Katalog-ID:	DOAJ054129516

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spelling	10.3390/app11072962 doi (DE-627)DOAJ054129516 (DE-599)DOAJ7befca772e74485f88798f438a370fdd DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Mohamadreza Afrasiabi verfasserin aut Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort. additive manufacturing LPBF numerical simulation SPH particle refinement Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Christof Lüthi verfasserin aut Markus Bambach verfasserin aut Konrad Wegener verfasserin aut In Applied Sciences MDPI AG, 2012 11(2021), 7, p 2962 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:11 year:2021 number:7, p 2962 https://doi.org/10.3390/app11072962 kostenfrei https://doaj.org/article/7befca772e74485f88798f438a370fdd kostenfrei https://www.mdpi.com/2076-3417/11/7/2962 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 7, p 2962
allfields_unstemmed	10.3390/app11072962 doi (DE-627)DOAJ054129516 (DE-599)DOAJ7befca772e74485f88798f438a370fdd DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Mohamadreza Afrasiabi verfasserin aut Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort. additive manufacturing LPBF numerical simulation SPH particle refinement Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Christof Lüthi verfasserin aut Markus Bambach verfasserin aut Konrad Wegener verfasserin aut In Applied Sciences MDPI AG, 2012 11(2021), 7, p 2962 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:11 year:2021 number:7, p 2962 https://doi.org/10.3390/app11072962 kostenfrei https://doaj.org/article/7befca772e74485f88798f438a370fdd kostenfrei https://www.mdpi.com/2076-3417/11/7/2962 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 7, p 2962
allfieldsGer	10.3390/app11072962 doi (DE-627)DOAJ054129516 (DE-599)DOAJ7befca772e74485f88798f438a370fdd DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Mohamadreza Afrasiabi verfasserin aut Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort. additive manufacturing LPBF numerical simulation SPH particle refinement Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Christof Lüthi verfasserin aut Markus Bambach verfasserin aut Konrad Wegener verfasserin aut In Applied Sciences MDPI AG, 2012 11(2021), 7, p 2962 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:11 year:2021 number:7, p 2962 https://doi.org/10.3390/app11072962 kostenfrei https://doaj.org/article/7befca772e74485f88798f438a370fdd kostenfrei https://www.mdpi.com/2076-3417/11/7/2962 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 7, p 2962
allfieldsSound	10.3390/app11072962 doi (DE-627)DOAJ054129516 (DE-599)DOAJ7befca772e74485f88798f438a370fdd DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Mohamadreza Afrasiabi verfasserin aut Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort. additive manufacturing LPBF numerical simulation SPH particle refinement Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Christof Lüthi verfasserin aut Markus Bambach verfasserin aut Konrad Wegener verfasserin aut In Applied Sciences MDPI AG, 2012 11(2021), 7, p 2962 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:11 year:2021 number:7, p 2962 https://doi.org/10.3390/app11072962 kostenfrei https://doaj.org/article/7befca772e74485f88798f438a370fdd kostenfrei https://www.mdpi.com/2076-3417/11/7/2962 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 7, p 2962
language	English
source	In Applied Sciences 11(2021), 7, p 2962 volume:11 year:2021 number:7, p 2962
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topic_facet	additive manufacturing LPBF numerical simulation SPH particle refinement Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry
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authorswithroles_txt_mv	Mohamadreza Afrasiabi @@aut@@ Christof Lüthi @@aut@@ Markus Bambach @@aut@@ Konrad Wegener @@aut@@
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callnumber-first	T - Technology
author	Mohamadreza Afrasiabi
spellingShingle	Mohamadreza Afrasiabi misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc additive manufacturing misc LPBF misc numerical simulation misc SPH misc particle refinement misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process
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topic_title	TA1-2040 QH301-705.5 QC1-999 QD1-999 Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process additive manufacturing LPBF numerical simulation SPH particle refinement
topic	misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc additive manufacturing misc LPBF misc numerical simulation misc SPH misc particle refinement misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry
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title	Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process
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title_full	Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process
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title_sort	multi-resolution sph simulation of a laser powder bed fusion additive manufacturing process
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title_auth	Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process
abstract	This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort.
abstractGer	This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort.
abstract_unstemmed	This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort.
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title_short	Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process
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