Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts
Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Gui [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag London Ltd. 2017 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - London : Springer, 1985, 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 |
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| Übergeordnetes Werk: |
volume:95 ; year:2017 ; number:1-4 ; day:08 ; month:11 ; pages:1185-1203 |
| Links: |
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| DOI / URN: |
10.1007/s00170-017-1258-1 |
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| Katalog-ID: |
SPR001465961 |
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| 100 | 1 | |a Li, Gui |e verfasserin |0 (orcid)0000-0003-2076-7658 |4 aut | |
| 245 | 1 | 0 | |a Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts |
| 264 | 1 | |c 2017 | |
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| 520 | |a Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. | ||
| 650 | 4 | |a Multi-station progressive die |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Trimming line |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Optimization |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Solid-shell element |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Refined numerical simulation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Strain paths |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhou, Min |4 aut | |
| 700 | 1 | |a Wang, Wensheng |4 aut | |
| 700 | 1 | |a Xiong, Hegen |4 aut | |
| 700 | 1 | |a Chen, Zhiping |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t The international journal of advanced manufacturing technology |d London : Springer, 1985 |g 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 |w (DE-627)270127712 |w (DE-600)1476510-X |x 1433-3015 |7 nnns |
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10.1007/s00170-017-1258-1 doi (DE-627)SPR001465961 (SPR)s00170-017-1258-1-e DE-627 ger DE-627 rakwb eng Li, Gui verfasserin (orcid)0000-0003-2076-7658 aut Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. Multi-station progressive die (dpeaa)DE-He213 Trimming line (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Solid-shell element (dpeaa)DE-He213 Refined numerical simulation (dpeaa)DE-He213 Strain paths (dpeaa)DE-He213 Zhou, Min aut Wang, Wensheng aut Xiong, Hegen aut Chen, Zhiping aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:95 year:2017 number:1-4 day:08 month:11 pages:1185-1203 https://dx.doi.org/10.1007/s00170-017-1258-1 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_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 95 2017 1-4 08 11 1185-1203 |
| spelling |
10.1007/s00170-017-1258-1 doi (DE-627)SPR001465961 (SPR)s00170-017-1258-1-e DE-627 ger DE-627 rakwb eng Li, Gui verfasserin (orcid)0000-0003-2076-7658 aut Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. Multi-station progressive die (dpeaa)DE-He213 Trimming line (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Solid-shell element (dpeaa)DE-He213 Refined numerical simulation (dpeaa)DE-He213 Strain paths (dpeaa)DE-He213 Zhou, Min aut Wang, Wensheng aut Xiong, Hegen aut Chen, Zhiping aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:95 year:2017 number:1-4 day:08 month:11 pages:1185-1203 https://dx.doi.org/10.1007/s00170-017-1258-1 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_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 95 2017 1-4 08 11 1185-1203 |
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10.1007/s00170-017-1258-1 doi (DE-627)SPR001465961 (SPR)s00170-017-1258-1-e DE-627 ger DE-627 rakwb eng Li, Gui verfasserin (orcid)0000-0003-2076-7658 aut Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. Multi-station progressive die (dpeaa)DE-He213 Trimming line (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Solid-shell element (dpeaa)DE-He213 Refined numerical simulation (dpeaa)DE-He213 Strain paths (dpeaa)DE-He213 Zhou, Min aut Wang, Wensheng aut Xiong, Hegen aut Chen, Zhiping aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:95 year:2017 number:1-4 day:08 month:11 pages:1185-1203 https://dx.doi.org/10.1007/s00170-017-1258-1 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_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 95 2017 1-4 08 11 1185-1203 |
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10.1007/s00170-017-1258-1 doi (DE-627)SPR001465961 (SPR)s00170-017-1258-1-e DE-627 ger DE-627 rakwb eng Li, Gui verfasserin (orcid)0000-0003-2076-7658 aut Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. Multi-station progressive die (dpeaa)DE-He213 Trimming line (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Solid-shell element (dpeaa)DE-He213 Refined numerical simulation (dpeaa)DE-He213 Strain paths (dpeaa)DE-He213 Zhou, Min aut Wang, Wensheng aut Xiong, Hegen aut Chen, Zhiping aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:95 year:2017 number:1-4 day:08 month:11 pages:1185-1203 https://dx.doi.org/10.1007/s00170-017-1258-1 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_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 95 2017 1-4 08 11 1185-1203 |
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10.1007/s00170-017-1258-1 doi (DE-627)SPR001465961 (SPR)s00170-017-1258-1-e DE-627 ger DE-627 rakwb eng Li, Gui verfasserin (orcid)0000-0003-2076-7658 aut Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. Multi-station progressive die (dpeaa)DE-He213 Trimming line (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Solid-shell element (dpeaa)DE-He213 Refined numerical simulation (dpeaa)DE-He213 Strain paths (dpeaa)DE-He213 Zhou, Min aut Wang, Wensheng aut Xiong, Hegen aut Chen, Zhiping aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 95(2017), 1-4 vom: 08. Nov., Seite 1185-1203 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:95 year:2017 number:1-4 day:08 month:11 pages:1185-1203 https://dx.doi.org/10.1007/s00170-017-1258-1 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_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 95 2017 1-4 08 11 1185-1203 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR001465961</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230327133026.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-017-1258-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR001465961</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00170-017-1258-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Gui</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-2076-7658</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag London Ltd. 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-station progressive die</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Trimming line</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optimization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Solid-shell element</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Refined numerical simulation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Strain paths</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Min</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Wensheng</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xiong, Hegen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Zhiping</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">The international journal of advanced manufacturing technology</subfield><subfield code="d">London : Springer, 1985</subfield><subfield code="g">95(2017), 1-4 vom: 08. 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| author |
Li, Gui |
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Li, Gui misc Multi-station progressive die misc Trimming line misc Optimization misc Solid-shell element misc Refined numerical simulation misc Strain paths Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts |
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Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts Multi-station progressive die (dpeaa)DE-He213 Trimming line (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Solid-shell element (dpeaa)DE-He213 Refined numerical simulation (dpeaa)DE-He213 Strain paths (dpeaa)DE-He213 |
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misc Multi-station progressive die misc Trimming line misc Optimization misc Solid-shell element misc Refined numerical simulation misc Strain paths |
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misc Multi-station progressive die misc Trimming line misc Optimization misc Solid-shell element misc Refined numerical simulation misc Strain paths |
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Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts |
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Li, Gui Zhou, Min Wang, Wensheng Xiong, Hegen Chen, Zhiping |
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Li, Gui |
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accurate trimming line optimization of multi-station progressive die for complex automotive structural parts |
| title_auth |
Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts |
| abstract |
Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. © Springer-Verlag London Ltd. 2017 |
| abstractGer |
Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. © Springer-Verlag London Ltd. 2017 |
| abstract_unstemmed |
Abstract The complex multi-station progressive die has many characteristics, such as many stations, complicated structure, and a strong correlation between stations. The trimming line is affected by the subsequent forming stations, which makes the accuracy of the trimming line very low and difficult to predict. Therefore, a new iterative optimization method of trimming line based on the strain path of material and the refined numerical simulation of the whole process was researched and proposed for multi-station progress dies of the complex automotive structural parts. The initial blank outline is unfolded by one-step and multi-step of the inverse finite element, respectively, to obtain higher accuracy trimming lines. The refined numerical simulation of the whole process based on the solid-shell element is utilized to verify the feasibility of the trimming lines, and the real parameters of the press, die surface, and process parameters are fully considered. The boundary nodes of the initial mesh of the blank are fitted according to the B-spline curve, and then the strain path and direction of the boundary node numerical simulation before and after are extracted. The iterative optimization of the trimming line is made by adjusting the B-spline curve, which can reduce the number of iterations and improve the edge quality of trimming inserting steels. The results of a complex example demonstrate that the newly proposed optimization method has an excellent performance and efficiency extremely in the trimming line optimization and numerical simulation. © Springer-Verlag London Ltd. 2017 |
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Accurate trimming line optimization of multi-station progressive die for complex automotive structural parts |
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https://dx.doi.org/10.1007/s00170-017-1258-1 |
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Zhou, Min Wang, Wensheng Xiong, Hegen Chen, Zhiping |
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Zhou, Min Wang, Wensheng Xiong, Hegen Chen, Zhiping |
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10.1007/s00170-017-1258-1 |
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2024-07-03T22:46:12.352Z |
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| score |
7.399617 |