Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms
Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achi...
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| Autor*in: |
Kannan, T. [verfasserIn] Murugan, N. [verfasserIn] Sreeharan, B. N. [verfasserIn] |
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E-Artikel |
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| Erschienen: |
De Gruyter ; 2013 |
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12 |
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| Reproduktion: |
Walter de Gruyter Online Zeitschriften |
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| Übergeordnetes Werk: |
Enthalten in: Journal for manufacturing science & production - Berlin : de Gruyter, 2011, 13(2013), 4 vom: 04. Sept., Seite 239-250 |
| Übergeordnetes Werk: |
volume:13 ; year:2013 ; number:4 ; day:04 ; month:09 ; pages:239-250 ; extent:12 |
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10.1515/jmsp-2012-0040 |
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NLEJ247109584 |
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| 520 | |a Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. | ||
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10.1515/jmsp-2012-0040 doi artikel_Grundlieferung.pp (DE-627)NLEJ247109584 DE-627 ger DE-627 rakwb Kannan, T. verfasserin aut Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms De Gruyter 2013 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. Walter de Gruyter Online Zeitschriften mathematical model genetic algorithm memetic algorithm weld cladding duplex stainless steel percentage dilution C language Murugan, N. verfasserin aut Sreeharan, B. N. verfasserin aut Enthalten in Journal for manufacturing science & production Berlin : de Gruyter, 2011 13(2013), 4 vom: 04. Sept., Seite 239-250 (DE-627)NLEJ248235788 (DE-600)2645922-X 2191-0375 nnns volume:13 year:2013 number:4 day:04 month:09 pages:239-250 extent:12 https://doi.org/10.1515/jmsp-2012-0040 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 13 2013 4 04 09 239-250 12 |
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10.1515/jmsp-2012-0040 doi artikel_Grundlieferung.pp (DE-627)NLEJ247109584 DE-627 ger DE-627 rakwb Kannan, T. verfasserin aut Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms De Gruyter 2013 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. Walter de Gruyter Online Zeitschriften mathematical model genetic algorithm memetic algorithm weld cladding duplex stainless steel percentage dilution C language Murugan, N. verfasserin aut Sreeharan, B. N. verfasserin aut Enthalten in Journal for manufacturing science & production Berlin : de Gruyter, 2011 13(2013), 4 vom: 04. Sept., Seite 239-250 (DE-627)NLEJ248235788 (DE-600)2645922-X 2191-0375 nnns volume:13 year:2013 number:4 day:04 month:09 pages:239-250 extent:12 https://doi.org/10.1515/jmsp-2012-0040 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 13 2013 4 04 09 239-250 12 |
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10.1515/jmsp-2012-0040 doi artikel_Grundlieferung.pp (DE-627)NLEJ247109584 DE-627 ger DE-627 rakwb Kannan, T. verfasserin aut Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms De Gruyter 2013 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. Walter de Gruyter Online Zeitschriften mathematical model genetic algorithm memetic algorithm weld cladding duplex stainless steel percentage dilution C language Murugan, N. verfasserin aut Sreeharan, B. N. verfasserin aut Enthalten in Journal for manufacturing science & production Berlin : de Gruyter, 2011 13(2013), 4 vom: 04. Sept., Seite 239-250 (DE-627)NLEJ248235788 (DE-600)2645922-X 2191-0375 nnns volume:13 year:2013 number:4 day:04 month:09 pages:239-250 extent:12 https://doi.org/10.1515/jmsp-2012-0040 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 13 2013 4 04 09 239-250 12 |
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Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. |
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Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. |
| abstract_unstemmed |
Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors. |
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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">NLEJ247109584</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220820030329.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220814s2013 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/jmsp-2012-0040</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">artikel_Grundlieferung.pp</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ247109584</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="100" ind1="1" ind2=" "><subfield code="a">Kannan, T.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">De Gruyter</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">12</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="520" ind1=" " ind2=" "><subfield code="a">Most of the manufacturing enterprises indulge in the bonding of metals during the production process. This makes welding one of the most important processes in industries. Subsequently, due to the high usage of welding process, industrial engineers desire to optimize the parameters concerned to achieve the desired weld bead characteristics. This paper focuses on optimization of flux cored arc welding process parameters, which are used for deposition of duplex stainless steel on low carbon structural steel plates. Experiments were conducted based on central composite rotatable design and mathematical models were developed using multiple regression method. Further, optimization with objectives as minimizing percentage dilution, maximizing height of reinforcement and bead width was carried out using genetic algorithm and memetic algorithm. This problem was formulated as a multi objective, multivariable and non-linear programming problem. The algorithms were implemented using basic functions of C language making it highly reliable, adoptable, very user friendly and extendable to other welding processes such as GMAW, GTAW, robotic welding, etc. The adopted optimization techniques were further compared based on various computational factors.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Walter de Gruyter Online Zeitschriften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mathematical model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">genetic algorithm</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">memetic algorithm</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weld cladding</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">duplex stainless steel</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">percentage dilution</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">C language</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Murugan, N.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sreeharan, B. N.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal for manufacturing science & production</subfield><subfield code="d">Berlin : de Gruyter, 2011</subfield><subfield code="g">13(2013), 4 vom: 04. Sept., Seite 239-250</subfield><subfield code="w">(DE-627)NLEJ248235788</subfield><subfield code="w">(DE-600)2645922-X</subfield><subfield code="x">2191-0375</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:4</subfield><subfield code="g">day:04</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:239-250</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/jmsp-2012-0040</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DGR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2013</subfield><subfield code="e">4</subfield><subfield code="b">04</subfield><subfield code="c">09</subfield><subfield code="h">239-250</subfield><subfield code="g">12</subfield></datafield></record></collection>
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