Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach
Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool....
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| Autor*in: |
Rajmohan, K. [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: International journal on interactive design and manufacturing - Paris : Springer, 2007, 18(2024), 2 vom: 10. Jan., Seite 697-708 |
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| Übergeordnetes Werk: |
volume:18 ; year:2024 ; number:2 ; day:10 ; month:01 ; pages:697-708 |
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| DOI / URN: |
10.1007/s12008-023-01688-9 |
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SPR054934540 |
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| 520 | |a Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. | ||
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10.1007/s12008-023-01688-9 doi (DE-627)SPR054934540 (SPR)s12008-023-01688-9-e DE-627 ger DE-627 rakwb eng Rajmohan, K. verfasserin aut Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. Electrical discharge machining (dpeaa)DE-He213 MMC (dpeaa)DE-He213 MRR (dpeaa)DE-He213 TWR (dpeaa)DE-He213 Vivekanandhan, M. aut Senthilkumar, C. aut Enthalten in International journal on interactive design and manufacturing Paris : Springer, 2007 18(2024), 2 vom: 10. Jan., Seite 697-708 (DE-627)546503195 (DE-600)2390733-2 1955-2505 nnns volume:18 year:2024 number:2 day:10 month:01 pages:697-708 https://dx.doi.org/10.1007/s12008-023-01688-9 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_65 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_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_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_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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 2 10 01 697-708 |
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10.1007/s12008-023-01688-9 doi (DE-627)SPR054934540 (SPR)s12008-023-01688-9-e DE-627 ger DE-627 rakwb eng Rajmohan, K. verfasserin aut Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. Electrical discharge machining (dpeaa)DE-He213 MMC (dpeaa)DE-He213 MRR (dpeaa)DE-He213 TWR (dpeaa)DE-He213 Vivekanandhan, M. aut Senthilkumar, C. aut Enthalten in International journal on interactive design and manufacturing Paris : Springer, 2007 18(2024), 2 vom: 10. Jan., Seite 697-708 (DE-627)546503195 (DE-600)2390733-2 1955-2505 nnns volume:18 year:2024 number:2 day:10 month:01 pages:697-708 https://dx.doi.org/10.1007/s12008-023-01688-9 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_65 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_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_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_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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 2 10 01 697-708 |
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10.1007/s12008-023-01688-9 doi (DE-627)SPR054934540 (SPR)s12008-023-01688-9-e DE-627 ger DE-627 rakwb eng Rajmohan, K. verfasserin aut Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. Electrical discharge machining (dpeaa)DE-He213 MMC (dpeaa)DE-He213 MRR (dpeaa)DE-He213 TWR (dpeaa)DE-He213 Vivekanandhan, M. aut Senthilkumar, C. aut Enthalten in International journal on interactive design and manufacturing Paris : Springer, 2007 18(2024), 2 vom: 10. Jan., Seite 697-708 (DE-627)546503195 (DE-600)2390733-2 1955-2505 nnns volume:18 year:2024 number:2 day:10 month:01 pages:697-708 https://dx.doi.org/10.1007/s12008-023-01688-9 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_65 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_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_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_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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 2 10 01 697-708 |
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10.1007/s12008-023-01688-9 doi (DE-627)SPR054934540 (SPR)s12008-023-01688-9-e DE-627 ger DE-627 rakwb eng Rajmohan, K. verfasserin aut Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. Electrical discharge machining (dpeaa)DE-He213 MMC (dpeaa)DE-He213 MRR (dpeaa)DE-He213 TWR (dpeaa)DE-He213 Vivekanandhan, M. aut Senthilkumar, C. aut Enthalten in International journal on interactive design and manufacturing Paris : Springer, 2007 18(2024), 2 vom: 10. Jan., Seite 697-708 (DE-627)546503195 (DE-600)2390733-2 1955-2505 nnns volume:18 year:2024 number:2 day:10 month:01 pages:697-708 https://dx.doi.org/10.1007/s12008-023-01688-9 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_65 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_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_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_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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 2 10 01 697-708 |
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10.1007/s12008-023-01688-9 doi (DE-627)SPR054934540 (SPR)s12008-023-01688-9-e DE-627 ger DE-627 rakwb eng Rajmohan, K. verfasserin aut Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. Electrical discharge machining (dpeaa)DE-He213 MMC (dpeaa)DE-He213 MRR (dpeaa)DE-He213 TWR (dpeaa)DE-He213 Vivekanandhan, M. aut Senthilkumar, C. aut Enthalten in International journal on interactive design and manufacturing Paris : Springer, 2007 18(2024), 2 vom: 10. Jan., Seite 697-708 (DE-627)546503195 (DE-600)2390733-2 1955-2505 nnns volume:18 year:2024 number:2 day:10 month:01 pages:697-708 https://dx.doi.org/10.1007/s12008-023-01688-9 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_65 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_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_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_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_2118 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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 2 10 01 697-708 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. 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Rajmohan, K. |
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Rajmohan, K. misc Electrical discharge machining misc MMC misc MRR misc TWR Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach |
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Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach Electrical discharge machining (dpeaa)DE-He213 MMC (dpeaa)DE-He213 MRR (dpeaa)DE-He213 TWR (dpeaa)DE-He213 |
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modelling and parametric optimization of edm of al 8081/sicp composite through dear approach |
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Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach |
| abstract |
Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Aluminum metal matrix composites are gaining ample interest because of the growing need for lightweight structural materials in aerospace and automotive areas. Conventional machining of such composites does not provide higher accuracy, due to their hardness deteriorates the reliability of the tool. Among various non-conventional machining processes, electrical discharge machining (EDM) is regarded as one of the efficient and cost-effective processes in machining of composites. This article discusses the EDM of Aluminum 8081 reinforced with 10Wt% silicon carbide has developed by stir casting technique. Experiments were carried out with central composite design with controllable EDM factors such as current, and pulse-on-time and pulse-off-time were used to investigate machining performance such as material transfer rate (MTR) and average surface roughness (TWR).The second order quadratic models are developed between EDM parameters and responses by regression analysis. Analysis of Variance was employed to validate the accuracy of the established statistical models and the impact of the process variables. Data Envelopment Analysis based Ranking Methodology (DEAR) was used to evaluate optimum parameters to achieve maximum MRR of 0.27542 $ mm^{3} $/min and minimum TWR of 0.$ 05926mm^{3} $/min with optimal–parameters of $ P_{on} $ (3 µs), $ P_{off} $ (10 µs) and I Current (20amps). Validation result indicates that the predicted values of the optimization are in accordance with the experimental values. Surface morphology of the machined surface was performed by using scanning electron microscopy in order to study the mechanisms of material removal under the different settings of EDM. Graphical abstract Craters of large size formed during higher current and pulse on time. © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach |
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Vivekanandhan, M. Senthilkumar, C. |
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10.1007/s12008-023-01688-9 |
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2024-07-04T03:33:51.320Z |
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| score |
7.3998213 |