The present work investigated the EDM process by using the new approach in order to maximize MRR and minimize EWR by introducing conductive Column (CC) in the workpiece material. The analytical parameters such as voltage (V) and conductive column varied in a range and their effect was realized by using response surface methodology (RSM). The remaining process parameter remains constant throughout the experimentation. The work material is AISI 1025 steel (having moderate conductivity) and copper electrode having diameter 10mm were selected for the experimentation. The face centred composite designs of RSM have been made to optimize process parameters of Die sinking EDM with an objective to maximize the MRR and minimize the EWR. The effects of gap voltage and conductive column and their interaction on the basis of two responses such as MRR and EWR were investigated. The contour plots were generated to realize the effects on responses. ANOVA and regression test were also performed to differentiate the significant and insignificant terms. The multiple response optimization method based on desirability function approach (DFA) was applied to find optimum values of input parameters.
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Dr. Kamaljit Singh Boparai has completed his Ph. D. in Mechanical Engineering from I K G Punjab Technical University Kapurthala in 2015. His main areas of interest are Metal cutting, Additive manufacturing, and CAD/CAM. He is the author of more than 20 publications in various national and international Journals.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present work investigated the EDM process by using the new approach in order to maximize MRR and minimize EWR by introducing conductive Column (CC) in the workpiece material. The analytical parameters such as voltage (V) and conductive column varied in a range and their effect was realized by using response surface methodology (RSM). The remaining process parameter remains constant throughout the experimentation. The work material is AISI 1025 steel (having moderate conductivity) and copper electrode having diameter 10mm were selected for the experimentation. The face centred composite designs of RSM have been made to optimize process parameters of Die sinking EDM with an objective to maximize the MRR and minimize the EWR. The effects of gap voltage and conductive column and their interaction on the basis of two responses such as MRR and EWR were investigated. The contour plots were generated to realize the effects on responses. ANOVA and regression test were also performed to differentiate the significant and insignificant terms. The multiple response optimization method based on desirability function approach (DFA) was applied to find optimum values of input parameters. 64 pp. Englisch. Seller Inventory # 9783659936739
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Boparai Kamaljit SinghDr. Kamaljit Singh Boparai has completed his Ph. D. in Mechanical Engineering from I K G Punjab Technical University Kapurthala in 2015. His main areas of interest are Metal cutting, Additive manufacturing, and . Seller Inventory # 158430821
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present work investigated the EDM process by using the new approach in order to maximize MRR and minimize EWR by introducing conductive Column (CC) in the workpiece material. The analytical parameters such as voltage (V) and conductive column varied in a range and their effect was realized by using response surface methodology (RSM). The remaining process parameter remains constant throughout the experimentation. The work material is AISI 1025 steel (having moderate conductivity) and copper electrode having diameter 10mm were selected for the experimentation. The face centred composite designs of RSM have been made to optimize process parameters of Die sinking EDM with an objective to maximize the MRR and minimize the EWR. The effects of gap voltage and conductive column and their interaction on the basis of two responses such as MRR and EWR were investigated. The contour plots were generated to realize the effects on responses. ANOVA and regression test were also performed to differentiate the significant and insignificant terms. The multiple response optimization method based on desirability function approach (DFA) was applied to find optimum values of input parameters. Seller Inventory # 9783659936739
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The present work investigated the EDM process by using the new approach in order to maximize MRR and minimize EWR by introducing conductive Column (CC) in the workpiece material. The analytical parameters such as voltage (V) and conductive column varied in a range and their effect was realized by using response surface methodology (RSM). The remaining process parameter remains constant throughout the experimentation. The work material is AISI 1025 steel (having moderate conductivity) and copper electrode having diameter 10mm were selected for the experimentation. The face centred composite designs of RSM have been made to optimize process parameters of Die sinking EDM with an objective to maximize the MRR and minimize the EWR. The effects of gap voltage and conductive column and their interaction on the basis of two responses such as MRR and EWR were investigated. The contour plots were generated to realize the effects on responses. ANOVA and regression test were also performed to differentiate the significant and insignificant terms. The multiple response optimization method based on desirability function approach (DFA) was applied to find optimum values of input parameters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9783659936739
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Taschenbuch. Condition: Neu. Enhancing the Machining Performance of EDM Process by using RSM | Kamaljit Singh Boparai (u. a.) | Taschenbuch | 64 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659936739 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 102812400