The concept Electrochemical machining (ECM) is broadly implemented in manufacturing area for the past two decades because of several advantages e.g. almost negligible tool wear, resistance of W.P. to thermal and mechanical stress and strain and the ease to form complicated shapes in tough material. Several optimization techniques had been implemented for studying the process factors of different non-conventional machining processes. Analysis of surface texture by implementation of RSM had been discussed by authors but they have not included the ROC& MRR. A precise investigation of ROC and MRR is studied in detail. Our aim for the present work is to optimize the independent parameter of ECMM using S1 tool steel also called as shock resistant tool steel, for maximizing the amount of material removal and for minimizing the radial over cut using RSM. The multi-parameter examinations of the MRR and ROC obtained from RSM have been in depth analysed by contour and surface plots. Voltage is maximum effect on machining rate whereas the E.C. largely affects ROC in comparison to other parameters. The optimum performance parameters for ECMM setup are determined for future investigation.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The concept Electrochemical machining (ECM) is broadly implemented in manufacturing area for the past two decades because of several advantages e.g. almost negligible tool wear, resistance of W.P. to thermal and mechanical stress and strain and the ease to form complicated shapes in tough material. Several optimization techniques had been implemented for studying the process factors of different non-conventional machining processes. Analysis of surface texture by implementation of RSM had been discussed by authors but they have not included the ROC& MRR. A precise investigation of ROC and MRR is studied in detail. Our aim for the present work is to optimize the independent parameter of ECMM using S1 tool steel also called as shock resistant tool steel, for maximizing the amount of material removal and for minimizing the radial over cut using RSM. The multi-parameter examinations of the MRR and ROC obtained from RSM have been in depth analysed by contour and surface plots. Voltage is maximum effect on machining rate whereas the E.C. largely affects ROC in comparison to other parameters. The optimum performance parameters for ECMM setup are determined for future investigation. 100 pp. Englisch. Seller Inventory # 9786200311016
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The concept Electrochemical machining (ECM) is broadly implemented in manufacturing area for the past two decades because of several advantages e.g. almost negligible tool wear, resistance of W.P. to thermal and mechanical stress and strain and the ease to form complicated shapes in tough material. Several optimization techniques had been implemented for studying the process factors of different non-conventional machining processes. Analysis of surface texture by implementation of RSM had been discussed by authors but they have not included the ROC& MRR. A precise investigation of ROC and MRR is studied in detail. Our aim for the present work is to optimize the independent parameter of ECMM using S1 tool steel also called as shock resistant tool steel, for maximizing the amount of material removal and for minimizing the radial over cut using RSM. The multi-parameter examinations of the MRR and ROC obtained from RSM have been in depth analysed by contour and surface plots. Voltage is maximum effect on machining rate whereas the E.C. largely affects ROC in comparison to other parameters. The optimum performance parameters for ECMM setup are determined for future investigation. Seller Inventory # 9786200311016
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma Love KishoreLove Kishore Sharma has done his B.E. (Mechanical) in 2009 and M.Tech (Production Engg.) from Rajasthan Technical University. He has 8 years teaching experience in Mechanical Engg. He published many research papers. Seller Inventory # 497743400
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The concept Electrochemical machining (ECM) is broadly implemented in manufacturing area for the past two decades because of several advantages e.g. almost negligible tool wear, resistance of W.P. to thermal and mechanical stress and strain and the ease to form complicated shapes in tough material. Several optimization techniques had been implemented for studying the process factors of different non-conventional machining processes. Analysis of surface texture by implementation of RSM had been discussed by authors but they have not included the ROC& MRR. A precise investigation of ROC and MRR is studied in detail. Our aim for the present work is to optimize the independent parameter of ECMM using S1 tool steel also called as shock resistant tool steel, for maximizing the amount of material removal and for minimizing the radial over cut using RSM. The multi-parameter examinations of the MRR and ROC obtained from RSM have been in depth analysed by contour and surface plots. Voltage is maximum effect on machining rate whereas the E.C. largely affects ROC in comparison to other parameters. The optimum performance parameters for ECMM setup are determined for future investigation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Seller Inventory # 9786200311016
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Taschenbuch. Condition: Neu. Study of ECMM parameter using S1 Tool steel | Optimization of performance parameters for ECMM with application of response surface methodology | Love Kishore Sharma (u. a.) | Taschenbuch | 100 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200311016 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 117535441
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