Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide
Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lin, Chun-Ming [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© ASM International 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of thermal spray technology - Springer US, 1992, 21(2012), 5 vom: 08. Feb., Seite 873-881 |
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| Übergeordnetes Werk: |
volume:21 ; year:2012 ; number:5 ; day:08 ; month:02 ; pages:873-881 |
| Links: |
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| DOI / URN: |
10.1007/s11666-012-9734-5 |
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OLC2060561175 |
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| 520 | |a Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. | ||
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10.1007/s11666-012-9734-5 doi (DE-627)OLC2060561175 (DE-He213)s11666-012-9734-5-p DE-627 ger DE-627 rakwb eng 670 VZ Lin, Chun-Ming verfasserin aut Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © ASM International 2012 Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. neural networks plasma spray forming plasma surface treatment quality control spray parameters vacuum plasma spray Enthalten in Journal of thermal spray technology Springer US, 1992 21(2012), 5 vom: 08. Feb., Seite 873-881 (DE-627)131101544 (DE-600)1118266-0 (DE-576)038867699 1059-9630 nnns volume:21 year:2012 number:5 day:08 month:02 pages:873-881 https://doi.org/10.1007/s11666-012-9734-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 21 2012 5 08 02 873-881 |
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10.1007/s11666-012-9734-5 doi (DE-627)OLC2060561175 (DE-He213)s11666-012-9734-5-p DE-627 ger DE-627 rakwb eng 670 VZ Lin, Chun-Ming verfasserin aut Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © ASM International 2012 Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. neural networks plasma spray forming plasma surface treatment quality control spray parameters vacuum plasma spray Enthalten in Journal of thermal spray technology Springer US, 1992 21(2012), 5 vom: 08. Feb., Seite 873-881 (DE-627)131101544 (DE-600)1118266-0 (DE-576)038867699 1059-9630 nnns volume:21 year:2012 number:5 day:08 month:02 pages:873-881 https://doi.org/10.1007/s11666-012-9734-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 21 2012 5 08 02 873-881 |
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10.1007/s11666-012-9734-5 doi (DE-627)OLC2060561175 (DE-He213)s11666-012-9734-5-p DE-627 ger DE-627 rakwb eng 670 VZ Lin, Chun-Ming verfasserin aut Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © ASM International 2012 Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. neural networks plasma spray forming plasma surface treatment quality control spray parameters vacuum plasma spray Enthalten in Journal of thermal spray technology Springer US, 1992 21(2012), 5 vom: 08. Feb., Seite 873-881 (DE-627)131101544 (DE-600)1118266-0 (DE-576)038867699 1059-9630 nnns volume:21 year:2012 number:5 day:08 month:02 pages:873-881 https://doi.org/10.1007/s11666-012-9734-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 21 2012 5 08 02 873-881 |
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10.1007/s11666-012-9734-5 doi (DE-627)OLC2060561175 (DE-He213)s11666-012-9734-5-p DE-627 ger DE-627 rakwb eng 670 VZ Lin, Chun-Ming verfasserin aut Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © ASM International 2012 Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. neural networks plasma spray forming plasma surface treatment quality control spray parameters vacuum plasma spray Enthalten in Journal of thermal spray technology Springer US, 1992 21(2012), 5 vom: 08. Feb., Seite 873-881 (DE-627)131101544 (DE-600)1118266-0 (DE-576)038867699 1059-9630 nnns volume:21 year:2012 number:5 day:08 month:02 pages:873-881 https://doi.org/10.1007/s11666-012-9734-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 21 2012 5 08 02 873-881 |
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10.1007/s11666-012-9734-5 doi (DE-627)OLC2060561175 (DE-He213)s11666-012-9734-5-p DE-627 ger DE-627 rakwb eng 670 VZ Lin, Chun-Ming verfasserin aut Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © ASM International 2012 Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. neural networks plasma spray forming plasma surface treatment quality control spray parameters vacuum plasma spray Enthalten in Journal of thermal spray technology Springer US, 1992 21(2012), 5 vom: 08. Feb., Seite 873-881 (DE-627)131101544 (DE-600)1118266-0 (DE-576)038867699 1059-9630 nnns volume:21 year:2012 number:5 day:08 month:02 pages:873-881 https://doi.org/10.1007/s11666-012-9734-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 21 2012 5 08 02 873-881 |
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Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. © ASM International 2012 |
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Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. © ASM International 2012 |
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Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone. © ASM International 2012 |
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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">OLC2060561175</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230401132736.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2012 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11666-012-9734-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2060561175</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11666-012-9734-5-p</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="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lin, Chun-Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Parameter Optimisation of a Vacuum Plasma Spraying Process Using Boron Carbide</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© ASM International 2012</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study determines the optimal processing parameters for vacuum plasma spraying boron carbide ($ B_{4} $C), employing an integrated approach based on the Taguchi design method, a neural network, and a genetic algorithm (GA). The proposed method comprises two stages. In the first stage, the Taguchi design method is used to establish a preliminary solution for the optimal set of processing parameters. In the second stage, the experimental results acquired from the Taguchi trials are used to construct a neural network model of the spraying process. A GA is then used to establish the optimal combination of processing parameters. The experimental results show that the coating void content of the specimen prepared using the processing parameters identified by the GA is significantly lower than that of the specimen prepared using the processing parameters identified by the Taguchi method alone.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">neural networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">plasma spray forming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">plasma surface treatment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">quality control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">spray parameters</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vacuum plasma spray</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of thermal spray technology</subfield><subfield code="d">Springer US, 1992</subfield><subfield code="g">21(2012), 5 vom: 08. 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