Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm

A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivit...
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Gespeichert in:

Autor*in:	Sen Lin [verfasserIn] Nengzhuo Chou [verfasserIn] Yujia Zhao [verfasserIn] Yangfan Qin [verfasserIn] Hao Jiang [verfasserIn] Junjia Cui [verfasserIn] Guangyao Li [verfasserIn] Yi Min Xie [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization

Übergeordnetes Werk:	In: Materials & Design - Elsevier, 2019, 224(2022), Seite 111337-
Übergeordnetes Werk:	volume:224 ; year:2022 ; pages:111337-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.matdes.2022.111337

Katalog-ID:	DOAJ003341747

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245	1	0	\|a Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
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520			\|a A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ.
650		4	\|a Magnetic pulse welding coil
650		4	\|a Topological optimization
650		4	\|a Connectivity constraints
650		4	\|a Particle swarm optimization
653		0	\|a Materials of engineering and construction. Mechanics of materials
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allfields	10.1016/j.matdes.2022.111337 doi (DE-627)DOAJ003341747 (DE-599)DOAJ426bafaf807646d4a605e8941214f969 DE-627 ger DE-627 rakwb eng TA401-492 Sen Lin verfasserin aut Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ. Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization Materials of engineering and construction. Mechanics of materials Nengzhuo Chou verfasserin aut Yujia Zhao verfasserin aut Yangfan Qin verfasserin aut Hao Jiang verfasserin aut Junjia Cui verfasserin aut Guangyao Li verfasserin aut Yi Min Xie verfasserin aut In Materials & Design Elsevier, 2019 224(2022), Seite 111337- (DE-627)32052857X (DE-600)2015480-X 18734197 nnns volume:224 year:2022 pages:111337- https://doi.org/10.1016/j.matdes.2022.111337 kostenfrei https://doaj.org/article/426bafaf807646d4a605e8941214f969 kostenfrei http://www.sciencedirect.com/science/article/pii/S0264127522009595 kostenfrei https://doaj.org/toc/0264-1275 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 224 2022 111337-
spelling	10.1016/j.matdes.2022.111337 doi (DE-627)DOAJ003341747 (DE-599)DOAJ426bafaf807646d4a605e8941214f969 DE-627 ger DE-627 rakwb eng TA401-492 Sen Lin verfasserin aut Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ. Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization Materials of engineering and construction. Mechanics of materials Nengzhuo Chou verfasserin aut Yujia Zhao verfasserin aut Yangfan Qin verfasserin aut Hao Jiang verfasserin aut Junjia Cui verfasserin aut Guangyao Li verfasserin aut Yi Min Xie verfasserin aut In Materials & Design Elsevier, 2019 224(2022), Seite 111337- (DE-627)32052857X (DE-600)2015480-X 18734197 nnns volume:224 year:2022 pages:111337- https://doi.org/10.1016/j.matdes.2022.111337 kostenfrei https://doaj.org/article/426bafaf807646d4a605e8941214f969 kostenfrei http://www.sciencedirect.com/science/article/pii/S0264127522009595 kostenfrei https://doaj.org/toc/0264-1275 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 224 2022 111337-
allfields_unstemmed	10.1016/j.matdes.2022.111337 doi (DE-627)DOAJ003341747 (DE-599)DOAJ426bafaf807646d4a605e8941214f969 DE-627 ger DE-627 rakwb eng TA401-492 Sen Lin verfasserin aut Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ. Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization Materials of engineering and construction. Mechanics of materials Nengzhuo Chou verfasserin aut Yujia Zhao verfasserin aut Yangfan Qin verfasserin aut Hao Jiang verfasserin aut Junjia Cui verfasserin aut Guangyao Li verfasserin aut Yi Min Xie verfasserin aut In Materials & Design Elsevier, 2019 224(2022), Seite 111337- (DE-627)32052857X (DE-600)2015480-X 18734197 nnns volume:224 year:2022 pages:111337- https://doi.org/10.1016/j.matdes.2022.111337 kostenfrei https://doaj.org/article/426bafaf807646d4a605e8941214f969 kostenfrei http://www.sciencedirect.com/science/article/pii/S0264127522009595 kostenfrei https://doaj.org/toc/0264-1275 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 224 2022 111337-
allfieldsGer	10.1016/j.matdes.2022.111337 doi (DE-627)DOAJ003341747 (DE-599)DOAJ426bafaf807646d4a605e8941214f969 DE-627 ger DE-627 rakwb eng TA401-492 Sen Lin verfasserin aut Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ. Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization Materials of engineering and construction. Mechanics of materials Nengzhuo Chou verfasserin aut Yujia Zhao verfasserin aut Yangfan Qin verfasserin aut Hao Jiang verfasserin aut Junjia Cui verfasserin aut Guangyao Li verfasserin aut Yi Min Xie verfasserin aut In Materials & Design Elsevier, 2019 224(2022), Seite 111337- (DE-627)32052857X (DE-600)2015480-X 18734197 nnns volume:224 year:2022 pages:111337- https://doi.org/10.1016/j.matdes.2022.111337 kostenfrei https://doaj.org/article/426bafaf807646d4a605e8941214f969 kostenfrei http://www.sciencedirect.com/science/article/pii/S0264127522009595 kostenfrei https://doaj.org/toc/0264-1275 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 224 2022 111337-
allfieldsSound	10.1016/j.matdes.2022.111337 doi (DE-627)DOAJ003341747 (DE-599)DOAJ426bafaf807646d4a605e8941214f969 DE-627 ger DE-627 rakwb eng TA401-492 Sen Lin verfasserin aut Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ. Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization Materials of engineering and construction. Mechanics of materials Nengzhuo Chou verfasserin aut Yujia Zhao verfasserin aut Yangfan Qin verfasserin aut Hao Jiang verfasserin aut Junjia Cui verfasserin aut Guangyao Li verfasserin aut Yi Min Xie verfasserin aut In Materials & Design Elsevier, 2019 224(2022), Seite 111337- (DE-627)32052857X (DE-600)2015480-X 18734197 nnns volume:224 year:2022 pages:111337- https://doi.org/10.1016/j.matdes.2022.111337 kostenfrei https://doaj.org/article/426bafaf807646d4a605e8941214f969 kostenfrei http://www.sciencedirect.com/science/article/pii/S0264127522009595 kostenfrei https://doaj.org/toc/0264-1275 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 224 2022 111337-
language	English
source	In Materials & Design 224(2022), Seite 111337- volume:224 year:2022 pages:111337-
sourceStr	In Materials & Design 224(2022), Seite 111337- volume:224 year:2022 pages:111337-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization Materials of engineering and construction. Mechanics of materials
isfreeaccess_bool	true
container_title	Materials & Design
authorswithroles_txt_mv	Sen Lin @@aut@@ Nengzhuo Chou @@aut@@ Yujia Zhao @@aut@@ Yangfan Qin @@aut@@ Hao Jiang @@aut@@ Junjia Cui @@aut@@ Guangyao Li @@aut@@ Yi Min Xie @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
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id	DOAJ003341747
language_de	englisch
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callnumber-first	T - Technology
author	Sen Lin
spellingShingle	Sen Lin misc TA401-492 misc Magnetic pulse welding coil misc Topological optimization misc Connectivity constraints misc Particle swarm optimization misc Materials of engineering and construction. Mechanics of materials Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
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topic_title	TA401-492 Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm Magnetic pulse welding coil Topological optimization Connectivity constraints Particle swarm optimization
topic	misc TA401-492 misc Magnetic pulse welding coil misc Topological optimization misc Connectivity constraints misc Particle swarm optimization misc Materials of engineering and construction. Mechanics of materials
topic_unstemmed	misc TA401-492 misc Magnetic pulse welding coil misc Topological optimization misc Connectivity constraints misc Particle swarm optimization misc Materials of engineering and construction. Mechanics of materials
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title	Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
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title_full	Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
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title_sort	topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
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title_auth	Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
abstract	A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ.
abstractGer	A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ.
abstract_unstemmed	A connectivity-constrained optimization methodology based on a discretized particle swarm optimization (PSO) algorithm is proposed for the continuum structural design of a magnetic pulse welding coil. To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. The maximum tensile load is also significantly improved by 19.88% with a discharge energy of 22 kJ.
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title_short	Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm
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To address the classical continuum topological challenges of conductors, such as simple connectivity and checkerboard phenomena in the optimal topology, the PSO algorithm is combined with connectivity constraints and filtration. The evolutionary history and parametric tests in an electromagnetic structure study are employed to demonstrate the efficiency and robustness of the novel algorithm. Physical tests show that the optimized coil can form a larger effective welding area between aluminum alloy (AA5052) and steel (HC420LA) sheets compared with the joint formed by the original coil. 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Mechanics of materials</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nengzhuo Chou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yujia Zhao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yangfan Qin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hao Jiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Junjia Cui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guangyao Li</subfield><subfield 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Topological optimization of magnetic pulse welding coils with a connectivity-constrained particle swarm optimization algorithm

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