ݺߣshows by User: MohanKumarPradhan / http://www.slideshare.net/images/logo.gif ݺߣshows by User: MohanKumarPradhan / Fri, 15 Mar 2024 06:15:50 GMT ݺߣShare feed for ݺߣshows by User: MohanKumarPradhan Influence of process parameters on MRR in EDM of AISI D2 Steel: a RSM approach /slideshow/influence-of-process-parameters-on-mrr-in-edm-of-aisi-d2-steel-a-rsm-approach/266799191 paper-rsmnitsurat-240315061550-876a7315
Response Surface Methodology (RSM) is used to investigate the effect of three controllable input variables namely: discharge current, pulse duration, and pulse off time on material removal rate (MRR) in EDM process. To study the proposed second-order polynomial model for MRR, a central composite design is used to estimation the model coefficients of the three factors, which are believed to influence the MRR in EDM process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on the experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the MRR. The model sufficiency is very satisfactory as the coefficient of determination (R2) is found to be 97.6%. ]]>
Response Surface Methodology (RSM) is used to investigate the effect of three controllable input variables namely: discharge current, pulse duration, and pulse off time on material removal rate (MRR) in EDM process. To study the proposed second-order polynomial model for MRR, a central composite design is used to estimation the model coefficients of the three factors, which are believed to influence the MRR in EDM process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on the experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the MRR. The model sufficiency is very satisfactory as the coefficient of determination (R2) is found to be 97.6%. ]]> Fri, 15 Mar 2024 06:15:50 GMT /slideshow/influence-of-process-parameters-on-mrr-in-edm-of-aisi-d2-steel-a-rsm-approach/266799191 MohanKumarPradhan@slideshare.net(MohanKumarPradhan) Influence of process parameters on MRR in EDM of AISI D2 Steel: a RSM approach MohanKumarPradhan Response Surface Methodology (RSM) is used to investigate the effect of three controllable input variables namely: discharge current, pulse duration, and pulse off time on material removal rate (MRR) in EDM process. To study the proposed second-order polynomial model for MRR, a central composite design is used to estimation the model coefficients of the three factors, which are believed to influence the MRR in EDM process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on the experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the MRR. The model sufficiency is very satisfactory as the coefficient of determination (R2) is found to be 97.6%. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paper-rsmnitsurat-240315061550-876a7315-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Response Surface Methodology (RSM) is used to investigate the effect of three controllable input variables namely: discharge current, pulse duration, and pulse off time on material removal rate (MRR) in EDM process. To study the proposed second-order polynomial model for MRR, a central composite design is used to estimation the model coefficients of the three factors, which are believed to influence the MRR in EDM process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on the experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the MRR. The model sufficiency is very satisfactory as the coefficient of determination (R2) is found to be 97.6%.
Influence of process parameters on MRR in EDM of AISI D2 Steel: a RSM approach from Mohan Kumar Pradhan
]]> 13 0 https://cdn.slidesharecdn.com/ss_thumbnails/paper-rsmnitsurat-240315061550-876a7315-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Modeling and Simulation of Thermal Stress in Electrical Discharge Machining Process /slideshow/modeling-and-simulation-of-thermal-stress-in-electrical-discharge-machining-process/266799176 paper-240315061421-447f2f76
In this research the effect of input variables namely: discharge current, pulse duration on thermal stresses has been investigated. A finite element modelling for the EDM process and the effect of a single-pulse discharge has been presented and results concerning the temperature distribution, the thermal stresses of AISI D2 steel machined by EDM have been illustrated. It was found that the compressive thermal stresses were developed beneath the crater and the tensile stresses were occur away from the axis of symmetry however, the thermal stresses affects to a larger depth with increasing pulse energy. ]]>
In this research the effect of input variables namely: discharge current, pulse duration on thermal stresses has been investigated. A finite element modelling for the EDM process and the effect of a single-pulse discharge has been presented and results concerning the temperature distribution, the thermal stresses of AISI D2 steel machined by EDM have been illustrated. It was found that the compressive thermal stresses were developed beneath the crater and the tensile stresses were occur away from the axis of symmetry however, the thermal stresses affects to a larger depth with increasing pulse energy. ]]> Fri, 15 Mar 2024 06:14:20 GMT /slideshow/modeling-and-simulation-of-thermal-stress-in-electrical-discharge-machining-process/266799176 MohanKumarPradhan@slideshare.net(MohanKumarPradhan) Modeling and Simulation of Thermal Stress in Electrical Discharge Machining Process MohanKumarPradhan In this research the effect of input variables namely: discharge current, pulse duration on thermal stresses has been investigated. A finite element modelling for the EDM process and the effect of a single-pulse discharge has been presented and results concerning the temperature distribution, the thermal stresses of AISI D2 steel machined by EDM have been illustrated. It was found that the compressive thermal stresses were developed beneath the crater and the tensile stresses were occur away from the axis of symmetry however, the thermal stresses affects to a larger depth with increasing pulse energy. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paper-240315061421-447f2f76-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this research the effect of input variables namely: discharge current, pulse duration on thermal stresses has been investigated. A finite element modelling for the EDM process and the effect of a single-pulse discharge has been presented and results concerning the temperature distribution, the thermal stresses of AISI D2 steel machined by EDM have been illustrated. It was found that the compressive thermal stresses were developed beneath the crater and the tensile stresses were occur away from the axis of symmetry however, the thermal stresses affects to a larger depth with increasing pulse energy.
Modeling and Simulation of Thermal Stress in Electrical Discharge Machining Process from Mohan Kumar Pradhan
]]> 22 0 https://cdn.slidesharecdn.com/ss_thumbnails/paper-240315061421-447f2f76-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Modeling and Analysis of process parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach /slideshow/modeling-and-analysis-of-process-parameters-on-surface-roughness-in-edm-of-aisi-d2-tool-steel-by-rsm-approach/266799132 journal-240315061144-f21a6e8e
Response Surface Methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and applied voltage Surface Roughness (SR) of on Electrical Discharge Machined surface. To study the proposed second-order polynomial model for SR, a Central Composite Design (CCD) is used to estimation the model coefficients of the four input factors, which are alleged to influence the SR in Electrical Discharge Machining (EDM) process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the SR. The model sufficiency is very satisfactory as the Coefficient of Determination (R2) is found to be 91.7% and adjusted R2-statistic (R2 adj) 89.6%.]]>
Response Surface Methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and applied voltage Surface Roughness (SR) of on Electrical Discharge Machined surface. To study the proposed second-order polynomial model for SR, a Central Composite Design (CCD) is used to estimation the model coefficients of the four input factors, which are alleged to influence the SR in Electrical Discharge Machining (EDM) process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the SR. The model sufficiency is very satisfactory as the Coefficient of Determination (R2) is found to be 91.7% and adjusted R2-statistic (R2 adj) 89.6%.]]> Fri, 15 Mar 2024 06:11:44 GMT /slideshow/modeling-and-analysis-of-process-parameters-on-surface-roughness-in-edm-of-aisi-d2-tool-steel-by-rsm-approach/266799132 MohanKumarPradhan@slideshare.net(MohanKumarPradhan) Modeling and Analysis of process parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach MohanKumarPradhan Response Surface Methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and applied voltage Surface Roughness (SR) of on Electrical Discharge Machined surface. To study the proposed second-order polynomial model for SR, a Central Composite Design (CCD) is used to estimation the model coefficients of the four input factors, which are alleged to influence the SR in Electrical Discharge Machining (EDM) process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the SR. The model sufficiency is very satisfactory as the Coefficient of Determination (R2) is found to be 91.7% and adjusted R2-statistic (R2 adj) 89.6%. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/journal-240315061144-f21a6e8e-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Response Surface Methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and applied voltage Surface Roughness (SR) of on Electrical Discharge Machined surface. To study the proposed second-order polynomial model for SR, a Central Composite Design (CCD) is used to estimation the model coefficients of the four input factors, which are alleged to influence the SR in Electrical Discharge Machining (EDM) process. Experiments were conducted on AISI D2 tool steel with copper electrode. The response is modeled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5% level of significance. It is found that discharge current, pulse duration, and pulse off time and few of their interactions have significant effect on the SR. The model sufficiency is very satisfactory as the Coefficient of Determination (R2) is found to be 91.7% and adjusted R2-statistic (R2 adj) 89.6%.
Modeling and Analysis of process parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach from Mohan Kumar Pradhan
]]> 12 0 https://cdn.slidesharecdn.com/ss_thumbnails/journal-240315061144-f21a6e8e-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-MohanKumarPradhan-48x48.jpg?cb=1723980997 Dr. Mohan Kumar Pradhan Assistant Professor E-mail: mohanrkl@gmail.com Phone: 0888 915 23 16 (M) Qualifications: Ph. D, M. Tech. (ME). Dr. M. K. Pradhan, has completed his PhD from National Institute of Technology, Rourkela his research topic was “Experimental Investigation and Modelling of Surface Integrity, Accuracy And Productivity Aspect in EDM of AISI D2 Steel”. Presently he is working as Assistant Professor in the Department of Mechanical, Maulana Azad National Institute of Technology, Bhopal (An Institute of National Importance). Prior to this after completing M.E from NIT Rourkela in the year 1999, he joined PIET, Rourkela as a lecturer, and server two and half years and https://cdn.slidesharecdn.com/ss_thumbnails/paper-rsmnitsurat-240315061550-876a7315-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/influence-of-process-parameters-on-mrr-in-edm-of-aisi-d2-steel-a-rsm-approach/266799191 Influence of process p... https://cdn.slidesharecdn.com/ss_thumbnails/paper-240315061421-447f2f76-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/modeling-and-simulation-of-thermal-stress-in-electrical-discharge-machining-process/266799176 Modeling and Simulatio... https://cdn.slidesharecdn.com/ss_thumbnails/journal-240315061144-f21a6e8e-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/modeling-and-analysis-of-process-parameters-on-surface-roughness-in-edm-of-aisi-d2-tool-steel-by-rsm-approach/266799132 Modeling and Analysis ...