MODI, Manoj ;AGARWAL, Gopal . Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 59, n.12, p. 735-747, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/powder-mixed-electro-discharge-diamond-surface-grinding-process-modelling-comparative-analysis-and-multi-output-optimisation-using-weighted-principal-components-analysis/>. Date accessed: 24 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2013.1146.
Modi, M., & Agarwal, G. (2013). Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis. Strojniški vestnik - Journal of Mechanical Engineering, 59(12), 735-747. doi:http://dx.doi.org/10.5545/sv-jme.2013.1146
@article{sv-jmesv-jme.2013.1146,
author = {Manoj Modi and Gopal Agarwal},
title = {Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {59},
number = {12},
year = {2013},
keywords = {Powder Mixed Electro Discharge Diamond Surface Grinding (PMEDDSG), Electro Discharge Diamond Surface Grinding (EDDSG), Weighted Principal Components (WPC) and Ti-6Al-4V.},
abstract = {Powder-mixed electro-discharge diamond surface grinding (PMEDDSG) is an efficient process for shaping hard materials, such as Ti-6Al-4V. Modelling, comparative analysis to study the behaviour of input variables against the responses for both processes, determination of optimum combination of parameters, and studying the effect of input variables on white recast layer thickness and finally on different surface generation during the PMEDDSG processing of Ti-6Al-4V are reported in this paper. The response surface methodology was used to develop the mathematical models of both the responses. Thirty-one experiments were performed on the PMEDDSG set-up without powder-mixed dielectric fluid. Another thirty-two experiments were performed on the PMEDDSG set-up with aluminium powder-mixed dielectric fluid. The current, pulse-duration, wheel-speed, duty-cycle and powder-concentration (considered only as an input variable with the powder-mixed dielectric fluid) were taken as input parameters. The material-removal-rate (MRR) and average-surface-roughness (Ra) were measured as responses in both the process. The weighted principal components (WPC) analysis has been applied to find an optimum setting of PMEDDSG process parameters during multi-output optimisation. A total of 18 experiments were performed according to Taguchi L18 orthogonal-array on the PMEDDSG set-up. The optimum combination suggested by the WPC method was tested to obtain the optimum values of MRR and Ra. The scanning electron microscopy images showed that the surface view and white recast layer thickness of machined workpieces are largely influenced by ampere-current, pulse-duration, duty-cycle, wheel-speed and powder-concentration.},
issn = {0039-2480}, pages = {735-747}, doi = {10.5545/sv-jme.2013.1146},
url = {https://www.sv-jme.eu/sl/article/powder-mixed-electro-discharge-diamond-surface-grinding-process-modelling-comparative-analysis-and-multi-output-optimisation-using-weighted-principal-components-analysis/}
}
Modi, M.,Agarwal, G. 2013 June 59. Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 59:12
%A Modi, Manoj %A Agarwal, Gopal %D 2013 %T Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis %B 2013 %9 Powder Mixed Electro Discharge Diamond Surface Grinding (PMEDDSG), Electro Discharge Diamond Surface Grinding (EDDSG), Weighted Principal Components (WPC) and Ti-6Al-4V. %! Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis %K Powder Mixed Electro Discharge Diamond Surface Grinding (PMEDDSG), Electro Discharge Diamond Surface Grinding (EDDSG), Weighted Principal Components (WPC) and Ti-6Al-4V. %X Powder-mixed electro-discharge diamond surface grinding (PMEDDSG) is an efficient process for shaping hard materials, such as Ti-6Al-4V. Modelling, comparative analysis to study the behaviour of input variables against the responses for both processes, determination of optimum combination of parameters, and studying the effect of input variables on white recast layer thickness and finally on different surface generation during the PMEDDSG processing of Ti-6Al-4V are reported in this paper. The response surface methodology was used to develop the mathematical models of both the responses. Thirty-one experiments were performed on the PMEDDSG set-up without powder-mixed dielectric fluid. Another thirty-two experiments were performed on the PMEDDSG set-up with aluminium powder-mixed dielectric fluid. The current, pulse-duration, wheel-speed, duty-cycle and powder-concentration (considered only as an input variable with the powder-mixed dielectric fluid) were taken as input parameters. The material-removal-rate (MRR) and average-surface-roughness (Ra) were measured as responses in both the process. The weighted principal components (WPC) analysis has been applied to find an optimum setting of PMEDDSG process parameters during multi-output optimisation. A total of 18 experiments were performed according to Taguchi L18 orthogonal-array on the PMEDDSG set-up. The optimum combination suggested by the WPC method was tested to obtain the optimum values of MRR and Ra. The scanning electron microscopy images showed that the surface view and white recast layer thickness of machined workpieces are largely influenced by ampere-current, pulse-duration, duty-cycle, wheel-speed and powder-concentration. %U https://www.sv-jme.eu/sl/article/powder-mixed-electro-discharge-diamond-surface-grinding-process-modelling-comparative-analysis-and-multi-output-optimisation-using-weighted-principal-components-analysis/ %0 Journal Article %R 10.5545/sv-jme.2013.1146 %& 735 %P 13 %J Strojniški vestnik - Journal of Mechanical Engineering %V 59 %N 12 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Modi, Manoj, & Gopal Agarwal. "Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis." Strojniški vestnik - Journal of Mechanical Engineering [Online], 59.12 (2013): 735-747. Web. 24 Nov. 2024
TY - JOUR AU - Modi, Manoj AU - Agarwal, Gopal PY - 2013 TI - Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2013.1146 KW - Powder Mixed Electro Discharge Diamond Surface Grinding (PMEDDSG), Electro Discharge Diamond Surface Grinding (EDDSG), Weighted Principal Components (WPC) and Ti-6Al-4V. N2 - Powder-mixed electro-discharge diamond surface grinding (PMEDDSG) is an efficient process for shaping hard materials, such as Ti-6Al-4V. Modelling, comparative analysis to study the behaviour of input variables against the responses for both processes, determination of optimum combination of parameters, and studying the effect of input variables on white recast layer thickness and finally on different surface generation during the PMEDDSG processing of Ti-6Al-4V are reported in this paper. The response surface methodology was used to develop the mathematical models of both the responses. Thirty-one experiments were performed on the PMEDDSG set-up without powder-mixed dielectric fluid. Another thirty-two experiments were performed on the PMEDDSG set-up with aluminium powder-mixed dielectric fluid. The current, pulse-duration, wheel-speed, duty-cycle and powder-concentration (considered only as an input variable with the powder-mixed dielectric fluid) were taken as input parameters. The material-removal-rate (MRR) and average-surface-roughness (Ra) were measured as responses in both the process. The weighted principal components (WPC) analysis has been applied to find an optimum setting of PMEDDSG process parameters during multi-output optimisation. A total of 18 experiments were performed according to Taguchi L18 orthogonal-array on the PMEDDSG set-up. The optimum combination suggested by the WPC method was tested to obtain the optimum values of MRR and Ra. The scanning electron microscopy images showed that the surface view and white recast layer thickness of machined workpieces are largely influenced by ampere-current, pulse-duration, duty-cycle, wheel-speed and powder-concentration. UR - https://www.sv-jme.eu/sl/article/powder-mixed-electro-discharge-diamond-surface-grinding-process-modelling-comparative-analysis-and-multi-output-optimisation-using-weighted-principal-components-analysis/
@article{{sv-jme}{sv-jme.2013.1146},
author = {Modi, M., Agarwal, G.},
title = {Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {59},
number = {12},
year = {2013},
doi = {10.5545/sv-jme.2013.1146},
url = {https://www.sv-jme.eu/sl/article/powder-mixed-electro-discharge-diamond-surface-grinding-process-modelling-comparative-analysis-and-multi-output-optimisation-using-weighted-principal-components-analysis/}
}
TY - JOUR AU - Modi, Manoj AU - Agarwal, Gopal PY - 2018/06/28 TI - Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 59, No 12 (2013): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2013.1146 KW - Powder Mixed Electro Discharge Diamond Surface Grinding (PMEDDSG), Electro Discharge Diamond Surface Grinding (EDDSG), Weighted Principal Components (WPC) and Ti-6Al-4V. N2 - Powder-mixed electro-discharge diamond surface grinding (PMEDDSG) is an efficient process for shaping hard materials, such as Ti-6Al-4V. Modelling, comparative analysis to study the behaviour of input variables against the responses for both processes, determination of optimum combination of parameters, and studying the effect of input variables on white recast layer thickness and finally on different surface generation during the PMEDDSG processing of Ti-6Al-4V are reported in this paper. The response surface methodology was used to develop the mathematical models of both the responses. Thirty-one experiments were performed on the PMEDDSG set-up without powder-mixed dielectric fluid. Another thirty-two experiments were performed on the PMEDDSG set-up with aluminium powder-mixed dielectric fluid. The current, pulse-duration, wheel-speed, duty-cycle and powder-concentration (considered only as an input variable with the powder-mixed dielectric fluid) were taken as input parameters. The material-removal-rate (MRR) and average-surface-roughness (Ra) were measured as responses in both the process. The weighted principal components (WPC) analysis has been applied to find an optimum setting of PMEDDSG process parameters during multi-output optimisation. A total of 18 experiments were performed according to Taguchi L18 orthogonal-array on the PMEDDSG set-up. The optimum combination suggested by the WPC method was tested to obtain the optimum values of MRR and Ra. The scanning electron microscopy images showed that the surface view and white recast layer thickness of machined workpieces are largely influenced by ampere-current, pulse-duration, duty-cycle, wheel-speed and powder-concentration. UR - https://www.sv-jme.eu/sl/article/powder-mixed-electro-discharge-diamond-surface-grinding-process-modelling-comparative-analysis-and-multi-output-optimisation-using-weighted-principal-components-analysis/
Modi, Manoj, AND Agarwal, Gopal. "Powder-Mixed Electro-Discharge Diamond Surface Grinding Process: Modelling, Comparative Analysis and Multi-Output Optimisation Using Weighted Principal Components Analysis" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 59 Number 12 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 59(2013)12, 735-747
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Powder-mixed electro-discharge diamond surface grinding (PMEDDSG) is an efficient process for shaping hard materials, such as Ti-6Al-4V. Modelling, comparative analysis to study the behaviour of input variables against the responses for both processes, determination of optimum combination of parameters, and studying the effect of input variables on white recast layer thickness and finally on different surface generation during the PMEDDSG processing of Ti-6Al-4V are reported in this paper. The response surface methodology was used to develop the mathematical models of both the responses. Thirty-one experiments were performed on the PMEDDSG set-up without powder-mixed dielectric fluid. Another thirty-two experiments were performed on the PMEDDSG set-up with aluminium powder-mixed dielectric fluid. The current, pulse-duration, wheel-speed, duty-cycle and powder-concentration (considered only as an input variable with the powder-mixed dielectric fluid) were taken as input parameters. The material-removal-rate (MRR) and average-surface-roughness (Ra) were measured as responses in both the process. The weighted principal components (WPC) analysis has been applied to find an optimum setting of PMEDDSG process parameters during multi-output optimisation. A total of 18 experiments were performed according to Taguchi L18 orthogonal-array on the PMEDDSG set-up. The optimum combination suggested by the WPC method was tested to obtain the optimum values of MRR and Ra. The scanning electron microscopy images showed that the surface view and white recast layer thickness of machined workpieces are largely influenced by ampere-current, pulse-duration, duty-cycle, wheel-speed and powder-concentration.