One of the important aspects that should be taken into consideration in the majority of manufacturing processes and,particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy. This book presents a fundamental study of EDM by using two different electrode and aims at investigating the effect of EDM parameters on material removal rate (MRR) and tool wear rate(TWR) as an alternative method for machining Aluminium Silicon Carbide (AlSiC ) metal matrix composite produced with stir casting method. The primary aim of this research is to determine the optimal machining parameter conditions of intensity of current, pulse on time and pulse off time and proper electrode material for machining AlSiC workpiece using EDM. The concept of response surface methodology, with a well-designed experimental scheme named central composite design was used and a second order model capable of predicting the responses is developed. This model was further checked for its adequacy by ANOVA.
"Sinopsis" puede pertenecer a otra edición de este libro.
One of the important aspects that should be taken into consideration in the majority of manufacturing processes and,particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy. This book presents a fundamental study of EDM by using two different electrode and aims at investigating the effect of EDM parameters on material removal rate (MRR) and tool wear rate(TWR) as an alternative method for machining Aluminium Silicon Carbide (AlSiC ) metal matrix composite produced with stir casting method. The primary aim of this research is to determine the optimal machining parameter conditions of intensity of current, pulse on time and pulse off time and proper electrode material for machining AlSiC workpiece using EDM. The concept of response surface methodology, with a well-designed experimental scheme named central composite design was used and a second order model capable of predicting the responses is developed. This model was further checked for its adequacy by ANOVA.
Mukesh Regmi is originally from Nepal. He graduated from IOE Thapathali Campus as a gold medalist with a distinction division in Industrial Engineering. He obtained M.Tech. degree in Mechanical Engineering with specialization in Product Design and Manufacturing from Visvesvaraya Technological University under Dr. Homi J. Bhabha Scholarship Scheme.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the important aspects that should be taken into consideration in the majority of manufacturing processes and,particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy. This book presents a fundamental study of EDM by using two different electrode and aims at investigating the effect of EDM parameters on material removal rate (MRR) and tool wear rate(TWR) as an alternative method for machining Aluminium Silicon Carbide (AlSiC ) metal matrix composite produced with stir casting method. The primary aim of this research is to determine the optimal machining parameter conditions of intensity of current, pulse on time and pulse off time and proper electrode material for machining AlSiC workpiece using EDM. The concept of response surface methodology, with a well-designed experimental scheme named central composite design was used and a second order model capable of predicting the responses is developed. This model was further checked for its adequacy by ANOVA. 88 pp. Englisch. Nº de ref. del artículo: 9783659895043
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Regmi MukeshMukesh Regmi is originally from Nepal. He graduated from IOE Thapathali Campus as a gold medalist with a distinction division in Industrial Engineering. He obtained M.Tech. degree in Mechanical Engineering with specializa. Nº de ref. del artículo: 159147182
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Nº de ref. del artículo: __3659895040
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the important aspects that should be taken into consideration in the majority of manufacturing processes and,particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy. This book presents a fundamental study of EDM by using two different electrode and aims at investigating the effect of EDM parameters on material removal rate (MRR) and tool wear rate(TWR) as an alternative method for machining Aluminium Silicon Carbide (AlSiC ) metal matrix composite produced with stir casting method. The primary aim of this research is to determine the optimal machining parameter conditions of intensity of current, pulse on time and pulse off time and proper electrode material for machining AlSiC workpiece using EDM. The concept of response surface methodology, with a well-designed experimental scheme named central composite design was used and a second order model capable of predicting the responses is developed. This model was further checked for its adequacy by ANOVA.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Nº de ref. del artículo: 9783659895043
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - One of the important aspects that should be taken into consideration in the majority of manufacturing processes and,particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy. This book presents a fundamental study of EDM by using two different electrode and aims at investigating the effect of EDM parameters on material removal rate (MRR) and tool wear rate(TWR) as an alternative method for machining Aluminium Silicon Carbide (AlSiC ) metal matrix composite produced with stir casting method. The primary aim of this research is to determine the optimal machining parameter conditions of intensity of current, pulse on time and pulse off time and proper electrode material for machining AlSiC workpiece using EDM. The concept of response surface methodology, with a well-designed experimental scheme named central composite design was used and a second order model capable of predicting the responses is developed. This model was further checked for its adequacy by ANOVA. Nº de ref. del artículo: 9783659895043
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Multi Response Optimization of Die Sinker Edm for Alsic Composite | A Design of Experiments Technique to Optimization | Mukesh Regmi | Taschenbuch | 88 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659895043 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 103736817
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