A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver

Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is asse...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Aria, Arash Imani [verfasserIn] Mánik, Tomas [verfasserIn] Holmedal, Bjørn [verfasserIn] Marthinsen, Knut [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Yield surface calibration Plastic anisotropy Crystal plasticity DAMASK

Anmerkung:	© The Author(s) 2023

Übergeordnetes Werk:	Enthalten in: Multiscale and multidisciplinary modeling, experiments and design - Springer International Publishing, 2017, 7(2023), 3 vom: 14. Dez., Seite 1867-1880
Übergeordnetes Werk:	volume:7 ; year:2023 ; number:3 ; day:14 ; month:12 ; pages:1867-1880

Links:	Volltext

DOI / URN:	10.1007/s41939-023-00294-2

Katalog-ID:	SPR056686412

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245	1	0	\|a A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
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520			\|a Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p.
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700	1		\|a Holmedal, Bjørn \|e verfasserin \|4 aut
700	1		\|a Marthinsen, Knut \|e verfasserin \|4 aut
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allfields	10.1007/s41939-023-00294-2 doi (DE-627)SPR056686412 (SPR)s41939-023-00294-2-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Aria, Arash Imani verfasserin aut A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. Yield surface calibration (dpeaa)DE-He213 Plastic anisotropy (dpeaa)DE-He213 Crystal plasticity (dpeaa)DE-He213 DAMASK (dpeaa)DE-He213 Mánik, Tomas verfasserin aut Holmedal, Bjørn verfasserin aut Marthinsen, Knut verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2023), 3 vom: 14. Dez., Seite 1867-1880 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880 https://dx.doi.org/10.1007/s41939-023-00294-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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 7 2023 3 14 12 1867-1880
spelling	10.1007/s41939-023-00294-2 doi (DE-627)SPR056686412 (SPR)s41939-023-00294-2-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Aria, Arash Imani verfasserin aut A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. Yield surface calibration (dpeaa)DE-He213 Plastic anisotropy (dpeaa)DE-He213 Crystal plasticity (dpeaa)DE-He213 DAMASK (dpeaa)DE-He213 Mánik, Tomas verfasserin aut Holmedal, Bjørn verfasserin aut Marthinsen, Knut verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2023), 3 vom: 14. Dez., Seite 1867-1880 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880 https://dx.doi.org/10.1007/s41939-023-00294-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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 7 2023 3 14 12 1867-1880
allfields_unstemmed	10.1007/s41939-023-00294-2 doi (DE-627)SPR056686412 (SPR)s41939-023-00294-2-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Aria, Arash Imani verfasserin aut A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. Yield surface calibration (dpeaa)DE-He213 Plastic anisotropy (dpeaa)DE-He213 Crystal plasticity (dpeaa)DE-He213 DAMASK (dpeaa)DE-He213 Mánik, Tomas verfasserin aut Holmedal, Bjørn verfasserin aut Marthinsen, Knut verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2023), 3 vom: 14. Dez., Seite 1867-1880 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880 https://dx.doi.org/10.1007/s41939-023-00294-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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 7 2023 3 14 12 1867-1880
allfieldsGer	10.1007/s41939-023-00294-2 doi (DE-627)SPR056686412 (SPR)s41939-023-00294-2-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Aria, Arash Imani verfasserin aut A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. Yield surface calibration (dpeaa)DE-He213 Plastic anisotropy (dpeaa)DE-He213 Crystal plasticity (dpeaa)DE-He213 DAMASK (dpeaa)DE-He213 Mánik, Tomas verfasserin aut Holmedal, Bjørn verfasserin aut Marthinsen, Knut verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2023), 3 vom: 14. Dez., Seite 1867-1880 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880 https://dx.doi.org/10.1007/s41939-023-00294-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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 7 2023 3 14 12 1867-1880
allfieldsSound	10.1007/s41939-023-00294-2 doi (DE-627)SPR056686412 (SPR)s41939-023-00294-2-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Aria, Arash Imani verfasserin aut A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. Yield surface calibration (dpeaa)DE-He213 Plastic anisotropy (dpeaa)DE-He213 Crystal plasticity (dpeaa)DE-He213 DAMASK (dpeaa)DE-He213 Mánik, Tomas verfasserin aut Holmedal, Bjørn verfasserin aut Marthinsen, Knut verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2023), 3 vom: 14. Dez., Seite 1867-1880 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880 https://dx.doi.org/10.1007/s41939-023-00294-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 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_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_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 7 2023 3 14 12 1867-1880
language	English
source	Enthalten in Multiscale and multidisciplinary modeling, experiments and design 7(2023), 3 vom: 14. Dez., Seite 1867-1880 volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880
sourceStr	Enthalten in Multiscale and multidisciplinary modeling, experiments and design 7(2023), 3 vom: 14. Dez., Seite 1867-1880 volume:7 year:2023 number:3 day:14 month:12 pages:1867-1880
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Yield surface calibration Plastic anisotropy Crystal plasticity DAMASK
dewey-raw	620
isfreeaccess_bool	true
container_title	Multiscale and multidisciplinary modeling, experiments and design
authorswithroles_txt_mv	Aria, Arash Imani @@aut@@ Mánik, Tomas @@aut@@ Holmedal, Bjørn @@aut@@ Marthinsen, Knut @@aut@@
publishDateDaySort_date	2023-12-14T00:00:00Z
hierarchy_top_id	1007210842
dewey-sort	3620
id	SPR056686412
language_de	englisch
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author	Aria, Arash Imani
spellingShingle	Aria, Arash Imani ddc 620 misc Yield surface calibration misc Plastic anisotropy misc Crystal plasticity misc DAMASK A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
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topic_title	620 VZ A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver Yield surface calibration (dpeaa)DE-He213 Plastic anisotropy (dpeaa)DE-He213 Crystal plasticity (dpeaa)DE-He213 DAMASK (dpeaa)DE-He213
topic	ddc 620 misc Yield surface calibration misc Plastic anisotropy misc Crystal plasticity misc DAMASK
topic_unstemmed	ddc 620 misc Yield surface calibration misc Plastic anisotropy misc Crystal plasticity misc DAMASK
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title	A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
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title_full	A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
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author_browse	Aria, Arash Imani Mánik, Tomas Holmedal, Bjørn Marthinsen, Knut
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title_sort	a computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
title_auth	A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
abstract	Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. © The Author(s) 2023
abstractGer	Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. © The Author(s) 2023
abstract_unstemmed	Abstract A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the calibration of yield surfaces. The required spatial resolution is assessed based on a comparison with the previously published crystal plasticity finite-element method (CPFEM) and experimental results for three different aluminum alloys (AA1050, AA3103O, and AA3103H18) with 1000 and 2500 grains in a representative volume element. The results of the crystal plasticity fast Fourier transform (CPFFT) method agree well with CPFEM. The elongated grain morphology of the AA3103H18 alloy was found to have a small effect on predicted anisotropy. An analysis was made of how many tests are required for proper calibration of the Yld2004-18p orthotropic yield surface. It was found that 32 virtual tests, along either uniformly distributed strain rate or stress directions but obeying the orthotropic symmetry of the Yld2004-18p yield surface, make a good compromise between accuracy and computation time. Randomly chosen directions have a significantly larger error and require more virtual tests for a similarly good calibration of the yield surface. Since a preselected set of strain–rate directions does not require extra iterations, it is the preferred choice for the calibration of the full stress-based Yld2004-18p. © The Author(s) 2023
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title_short	A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
url	https://dx.doi.org/10.1007/s41939-023-00294-2
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A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver

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