Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion
Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power,...
Ausführliche Beschreibung
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| Autor*in: |
Ziri, Sabrine [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - London : Springer, 1985, 120(2022), 9-10 vom: 06. Apr., Seite 6187-6204 |
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| Übergeordnetes Werk: |
volume:120 ; year:2022 ; number:9-10 ; day:06 ; month:04 ; pages:6187-6204 |
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| DOI / URN: |
10.1007/s00170-022-09160-w |
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SPR046966714 |
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| 520 | |a Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. | ||
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| 700 | 1 | |a Hor, Anis |4 aut | |
| 700 | 1 | |a Mabru, Catherine |4 aut | |
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10.1007/s00170-022-09160-w doi (DE-627)SPR046966714 (SPR)s00170-022-09160-w-e DE-627 ger DE-627 rakwb eng Ziri, Sabrine verfasserin (orcid)0000-0002-9183-8161 aut Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. Laser powder bed fusion (dpeaa)DE-He213 Density (dpeaa)DE-He213 Powder size (dpeaa)DE-He213 Process parameter (dpeaa)DE-He213 Prediction model (dpeaa)DE-He213 Hor, Anis aut Mabru, Catherine aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 120(2022), 9-10 vom: 06. Apr., Seite 6187-6204 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:120 year:2022 number:9-10 day:06 month:04 pages:6187-6204 https://dx.doi.org/10.1007/s00170-022-09160-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 120 2022 9-10 06 04 6187-6204 |
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10.1007/s00170-022-09160-w doi (DE-627)SPR046966714 (SPR)s00170-022-09160-w-e DE-627 ger DE-627 rakwb eng Ziri, Sabrine verfasserin (orcid)0000-0002-9183-8161 aut Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. Laser powder bed fusion (dpeaa)DE-He213 Density (dpeaa)DE-He213 Powder size (dpeaa)DE-He213 Process parameter (dpeaa)DE-He213 Prediction model (dpeaa)DE-He213 Hor, Anis aut Mabru, Catherine aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 120(2022), 9-10 vom: 06. Apr., Seite 6187-6204 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:120 year:2022 number:9-10 day:06 month:04 pages:6187-6204 https://dx.doi.org/10.1007/s00170-022-09160-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 120 2022 9-10 06 04 6187-6204 |
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10.1007/s00170-022-09160-w doi (DE-627)SPR046966714 (SPR)s00170-022-09160-w-e DE-627 ger DE-627 rakwb eng Ziri, Sabrine verfasserin (orcid)0000-0002-9183-8161 aut Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. Laser powder bed fusion (dpeaa)DE-He213 Density (dpeaa)DE-He213 Powder size (dpeaa)DE-He213 Process parameter (dpeaa)DE-He213 Prediction model (dpeaa)DE-He213 Hor, Anis aut Mabru, Catherine aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 120(2022), 9-10 vom: 06. Apr., Seite 6187-6204 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:120 year:2022 number:9-10 day:06 month:04 pages:6187-6204 https://dx.doi.org/10.1007/s00170-022-09160-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 120 2022 9-10 06 04 6187-6204 |
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10.1007/s00170-022-09160-w doi (DE-627)SPR046966714 (SPR)s00170-022-09160-w-e DE-627 ger DE-627 rakwb eng Ziri, Sabrine verfasserin (orcid)0000-0002-9183-8161 aut Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. Laser powder bed fusion (dpeaa)DE-He213 Density (dpeaa)DE-He213 Powder size (dpeaa)DE-He213 Process parameter (dpeaa)DE-He213 Prediction model (dpeaa)DE-He213 Hor, Anis aut Mabru, Catherine aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 120(2022), 9-10 vom: 06. Apr., Seite 6187-6204 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:120 year:2022 number:9-10 day:06 month:04 pages:6187-6204 https://dx.doi.org/10.1007/s00170-022-09160-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 120 2022 9-10 06 04 6187-6204 |
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10.1007/s00170-022-09160-w doi (DE-627)SPR046966714 (SPR)s00170-022-09160-w-e DE-627 ger DE-627 rakwb eng Ziri, Sabrine verfasserin (orcid)0000-0002-9183-8161 aut Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. Laser powder bed fusion (dpeaa)DE-He213 Density (dpeaa)DE-He213 Powder size (dpeaa)DE-He213 Process parameter (dpeaa)DE-He213 Prediction model (dpeaa)DE-He213 Hor, Anis aut Mabru, Catherine aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 120(2022), 9-10 vom: 06. Apr., Seite 6187-6204 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:120 year:2022 number:9-10 day:06 month:04 pages:6187-6204 https://dx.doi.org/10.1007/s00170-022-09160-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 120 2022 9-10 06 04 6187-6204 |
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These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. 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Ziri, Sabrine |
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Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion Laser powder bed fusion (dpeaa)DE-He213 Density (dpeaa)DE-He213 Powder size (dpeaa)DE-He213 Process parameter (dpeaa)DE-He213 Prediction model (dpeaa)DE-He213 |
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combined effect of powder properties and process parameters on the density of 316l stainless steel obtained by laser powder bed fusion |
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Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion |
| abstract |
Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
| abstractGer |
Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract The laser powder bed fusion (LPBF) process is capable of producing nearly dense 316L stainless steel (SS) parts with a choice of suitable process parameters. These parameters are generally selected from an empirical process mapping involving the input variables of the process (laser power, scan velocity, layer thickness …), independently of the powder characteristics. However, the powder properties (i.e., size, morphology, flowability…) affect the complex physical phenomena involved in the LPBF process. This paper investigates the combined effect of powder properties and process parameters on the LPBF parts density. Firstly, the flowability, relative density, particle size distribution, and absorptance of several powders were measured. Then, these powders were used to produce samples with different process parameters, mainly laser power, scan velocity, and layer thickness. Additionally, computed micro-tomography scanning (µCT) and microscopic analysis methods were used to determine the porosity of the as-built samples and characterize the defects' sizes, types, and locations. The powder size was found to influence the lack of fusion and keyhole boundaries in the process map and consequently affect the operating window. The standard powders with the highest relative density and good flowability were characterized by larger operating windows compared to finer and coarser counterparts. Finally, predictive models were suggested to estimate the porosity of LPBF 316L stainless steel (316L SS) parts by taking into account the powder properties. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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9-10 |
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Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion |
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https://dx.doi.org/10.1007/s00170-022-09160-w |
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Hor, Anis Mabru, Catherine |
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Hor, Anis Mabru, Catherine |
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10.1007/s00170-022-09160-w |
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2024-07-04T01:15:12.215Z |
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| score |
7.4008617 |