Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.]
Direct Metal Laser Sintering (DMLS) is an additive manufacturing technology gaining popularity due to its ability to produce near net-shaped functional components. As there is a great need to improve the surface quality of DMLS components to upgrade their dynamic properties, an attempt was made to s...
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my.uitm.ir.529632021-11-03T09:01:39Z https://ir.uitm.edu.my/id/eprint/52963/ Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] Subrahmanyam, A.P.S.V.R. Rao, P.Srinivasa Prasad, K.Siva Analytical chemistry Mechanical and electrical engineering combined Direct Metal Laser Sintering (DMLS) is an additive manufacturing technology gaining popularity due to its ability to produce near net-shaped functional components. As there is a great need to improve the surface quality of DMLS components to upgrade their dynamic properties, an attempt was made to study the influence of process parameters like laser power, scan speed, and overlap rate on the surface quality of DMLS Aluminum alloy (AlSi10Mg) in as-built condition. The optimized process window to generate the best surface quality was achieved using Response Surface Method (RSM). Artificial Neural Network (ANN) modeling is also developed to map the influence of process parameters on surface quality. Conclusively, Scan speed is found to be most influential over surface quality as per the F and P test results. The optimized process parameters for best surface quality (3.52 µm) were 300 W laser power, 600 mm/sec scan speed, and 25% overlap rate. Both RSM and ANN models were accurate in prediction. However, ANN is recorded as superior with the highest coefficient of correlation (R). Universiti Teknologi MARA 2021 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/52963/1/52963.pdf ID52963 Subrahmanyam, A.P.S.V.R. and Rao, P.Srinivasa and Prasad, K.Siva (2021) Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.]. Journal of Mechanical Engineering, 18 (3): 3. pp. 37-56. ISSN 2550 - 164X |
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Analytical chemistry Mechanical and electrical engineering combined Subrahmanyam, A.P.S.V.R. Rao, P.Srinivasa Prasad, K.Siva Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] |
| description |
Direct Metal Laser Sintering (DMLS) is an additive manufacturing technology gaining popularity due to its ability to produce near net-shaped functional components. As there is a great need to improve the surface quality of DMLS components to upgrade their dynamic properties, an attempt was made to study the influence of process parameters like laser power, scan speed, and overlap rate on the surface quality of DMLS Aluminum alloy (AlSi10Mg) in as-built condition. The optimized process window to generate the best surface quality was achieved using Response Surface Method (RSM). Artificial Neural Network (ANN) modeling is also developed to map the influence of process parameters on surface quality. Conclusively, Scan speed is found to be most influential over surface quality as per the F and P test results. The optimized process parameters for best surface quality (3.52 µm) were 300 W laser power, 600 mm/sec scan speed, and 25% overlap rate. Both RSM and ANN models were accurate in prediction. However, ANN is recorded as superior with the highest coefficient of correlation (R). |
| format |
Article |
| author |
Subrahmanyam, A.P.S.V.R. Rao, P.Srinivasa Prasad, K.Siva |
| author_facet |
Subrahmanyam, A.P.S.V.R. Rao, P.Srinivasa Prasad, K.Siva |
| author_sort |
Subrahmanyam, A.P.S.V.R. |
| title |
Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] |
| title_short |
Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] |
| title_full |
Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] |
| title_fullStr |
Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] |
| title_full_unstemmed |
Enhancement of surface quality of DMLS aluminium alloy using RSM optimization and ANN modelling / A.P.S.V.R. Subrahmanyam … [et al.] |
| title_sort |
enhancement of surface quality of dmls aluminium alloy using rsm optimization and ann modelling / a.p.s.v.r. subrahmanyam … [et al.] |
| publisher |
Universiti Teknologi MARA |
| publishDate |
2021 |
| url |
https://ir.uitm.edu.my/id/eprint/52963/1/52963.pdf https://ir.uitm.edu.my/id/eprint/52963/ |
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1717097217333919744 |
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13.211869 |