Simulation of the shot peening process with variable shot diameters and impacting velocities
• Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Mo...
Ausführliche Beschreibung
Autor*in: |
Gariépy, A. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Supramolecular polymers: Recent advances based on the types of underlying interactions - Peng, Hui-Qing ELSEVIER, 2022, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:114 ; year:2017 ; pages:121-133 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.advengsoft.2017.06.011 |
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ELV04106383X |
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520 | |a • Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. | ||
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10.1016/j.advengsoft.2017.06.011 doi GBV00000000000363.pica (DE-627)ELV04106383X (ELSEVIER)S0965-9978(17)30043-1 DE-627 ger DE-627 rakwb eng 540 VZ 35.80 bkl 51.70 bkl Gariépy, A. verfasserin aut Simulation of the shot peening process with variable shot diameters and impacting velocities 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. Miao, H.Y. oth Lévesque, M. oth Enthalten in Elsevier Peng, Hui-Qing ELSEVIER Supramolecular polymers: Recent advances based on the types of underlying interactions 2022 Amsterdam [u.a.] (DE-627)ELV009183043 volume:114 year:2017 pages:121-133 extent:13 https://doi.org/10.1016/j.advengsoft.2017.06.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.80 Makromolekulare Chemie VZ 51.70 Polymerwerkstoffe Kunststoffe Werkstoffkunde VZ AR 114 2017 121-133 13 |
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10.1016/j.advengsoft.2017.06.011 doi GBV00000000000363.pica (DE-627)ELV04106383X (ELSEVIER)S0965-9978(17)30043-1 DE-627 ger DE-627 rakwb eng 540 VZ 35.80 bkl 51.70 bkl Gariépy, A. verfasserin aut Simulation of the shot peening process with variable shot diameters and impacting velocities 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. Miao, H.Y. oth Lévesque, M. oth Enthalten in Elsevier Peng, Hui-Qing ELSEVIER Supramolecular polymers: Recent advances based on the types of underlying interactions 2022 Amsterdam [u.a.] (DE-627)ELV009183043 volume:114 year:2017 pages:121-133 extent:13 https://doi.org/10.1016/j.advengsoft.2017.06.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.80 Makromolekulare Chemie VZ 51.70 Polymerwerkstoffe Kunststoffe Werkstoffkunde VZ AR 114 2017 121-133 13 |
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10.1016/j.advengsoft.2017.06.011 doi GBV00000000000363.pica (DE-627)ELV04106383X (ELSEVIER)S0965-9978(17)30043-1 DE-627 ger DE-627 rakwb eng 540 VZ 35.80 bkl 51.70 bkl Gariépy, A. verfasserin aut Simulation of the shot peening process with variable shot diameters and impacting velocities 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. Miao, H.Y. oth Lévesque, M. oth Enthalten in Elsevier Peng, Hui-Qing ELSEVIER Supramolecular polymers: Recent advances based on the types of underlying interactions 2022 Amsterdam [u.a.] (DE-627)ELV009183043 volume:114 year:2017 pages:121-133 extent:13 https://doi.org/10.1016/j.advengsoft.2017.06.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.80 Makromolekulare Chemie VZ 51.70 Polymerwerkstoffe Kunststoffe Werkstoffkunde VZ AR 114 2017 121-133 13 |
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10.1016/j.advengsoft.2017.06.011 doi GBV00000000000363.pica (DE-627)ELV04106383X (ELSEVIER)S0965-9978(17)30043-1 DE-627 ger DE-627 rakwb eng 540 VZ 35.80 bkl 51.70 bkl Gariépy, A. verfasserin aut Simulation of the shot peening process with variable shot diameters and impacting velocities 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. Miao, H.Y. oth Lévesque, M. oth Enthalten in Elsevier Peng, Hui-Qing ELSEVIER Supramolecular polymers: Recent advances based on the types of underlying interactions 2022 Amsterdam [u.a.] (DE-627)ELV009183043 volume:114 year:2017 pages:121-133 extent:13 https://doi.org/10.1016/j.advengsoft.2017.06.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.80 Makromolekulare Chemie VZ 51.70 Polymerwerkstoffe Kunststoffe Werkstoffkunde VZ AR 114 2017 121-133 13 |
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10.1016/j.advengsoft.2017.06.011 doi GBV00000000000363.pica (DE-627)ELV04106383X (ELSEVIER)S0965-9978(17)30043-1 DE-627 ger DE-627 rakwb eng 540 VZ 35.80 bkl 51.70 bkl Gariépy, A. verfasserin aut Simulation of the shot peening process with variable shot diameters and impacting velocities 2017 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. Miao, H.Y. oth Lévesque, M. oth Enthalten in Elsevier Peng, Hui-Qing ELSEVIER Supramolecular polymers: Recent advances based on the types of underlying interactions 2022 Amsterdam [u.a.] (DE-627)ELV009183043 volume:114 year:2017 pages:121-133 extent:13 https://doi.org/10.1016/j.advengsoft.2017.06.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.80 Makromolekulare Chemie VZ 51.70 Polymerwerkstoffe Kunststoffe Werkstoffkunde VZ AR 114 2017 121-133 13 |
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• Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. |
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• Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. |
abstract_unstemmed |
• Shot peening causes impacts with random shot locations, sizes and velocities. • A velocity distribution is determined from measured shot and dimple size data. • Finite element analyses relate impact velocity, shot diameter and dimple size. • A trial velocity distribution is then optimized using Monte Carlo simulations. • Computational cost could be reduced by omitting the lowest-energy impacts. |
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code="u">https://doi.org/10.1016/j.advengsoft.2017.06.011</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">35.80</subfield><subfield code="j">Makromolekulare Chemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.70</subfield><subfield code="j">Polymerwerkstoffe</subfield><subfield code="j">Kunststoffe</subfield><subfield code="x">Werkstoffkunde</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield 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