Investigation and Performance Analysis of AWJM using MCDMM: An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method - Brossura
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An Abrasive water jet machining is non-traditional machining process. In AWJM process water and abrasive particles are made to impinge on the work material at high velocity. This high velocity converting pressure energy into kinetic energy so high velocity abrasive particles remove the material by micro-cutting action as well as brittle fracture of the work material. The present work study AWJM process parameter and optimization this process parameter using AHP/MOORA method for selection most significant value of output process parameter of AWJM. Here, experimentation should be done using taguchi orthogonal L9 array. Further, the experiments should be done on Aluminum matrix material using three different abrasive materials like SiC, Al2O3 and Garnet material of different size 2mesh, 4mesh, 6mesh. A Genetic algorithm (GA) is implemented to optimize the Material Removal Rate, Surface Roughness, Kerf width using R2010a MATLAB software.
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Investigation and Performance Analysis of AWJM using MCDMM
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LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200302103
ISBN 13: 9786200302106
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An Abrasive water jet machining is non-traditional machining process. In AWJM process water and abrasive particles are made to impinge on the work material at high velocity. This high velocity converting pressure energy into kinetic energy so high velocity abrasive particles remove the material by micro-cutting action as well as brittle fracture of the work material. The present work study AWJM process parameter and optimization this process parameter using AHP/MOORA method for selection most significant value of output process parameter of AWJM. Here, experimentation should be done using taguchi orthogonal L9 array. Further, the experiments should be done on Aluminum matrix material using three different abrasive materials like SiC, Al2O3 and Garnet material of different size 2mesh, 4mesh, 6mesh. A Genetic algorithm (GA) is implemented to optimize the Material Removal Rate, Surface Roughness, Kerf width using R2010a MATLAB software. 124 pp. Englisch. Codice articolo 9786200302106
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Investigation and Performance Analysis of AWJM using MCDMM
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200302103
ISBN 13: 9786200302106
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel Prof Sunil V.Prof. Sunil V. Patel (M.Tech Ams, B.E. Mechanical), Prof. Romil M. Patel (Ph.d. Solar Pursuing, M.E. Thermal, B.E. Mechanical) & Prof. Amit R. Patel (M.E. Cad/Cam, B.E. Mechanical) are Working as Assistant Prof. Codice articolo 329517213
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Investigation and Performance Analysis of AWJM using MCDMM
Editore:
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200302103
ISBN 13: 9786200302106
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An Abrasive water jet machining is non-traditional machining process. In AWJM process water and abrasive particles are made to impinge on the work material at high velocity. This high velocity converting pressure energy into kinetic energy so high velocity abrasive particles remove the material by micro-cutting action as well as brittle fracture of the work material. The present work study AWJM process parameter and optimization this process parameter using AHP/MOORA method for selection most significant value of output process parameter of AWJM. Here, experimentation should be done using taguchi orthogonal L9 array. Further, the experiments should be done on Aluminum matrix material using three different abrasive materials like SiC, Al2O3 and Garnet material of different size 2mesh, 4mesh, 6mesh. A Genetic algorithm (GA) is implemented to optimize the Material Removal Rate, Surface Roughness, Kerf width using R2010a MATLAB software.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Codice articolo 9786200302106
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Investigation and Performance Analysis of AWJM using MCDMM : An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200302103
ISBN 13: 9786200302106
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An Abrasive water jet machining is non-traditional machining process. In AWJM process water and abrasive particles are made to impinge on the work material at high velocity. This high velocity converting pressure energy into kinetic energy so high velocity abrasive particles remove the material by micro-cutting action as well as brittle fracture of the work material. The present work study AWJM process parameter and optimization this process parameter using AHP/MOORA method for selection most significant value of output process parameter of AWJM. Here, experimentation should be done using taguchi orthogonal L9 array. Further, the experiments should be done on Aluminum matrix material using three different abrasive materials like SiC, Al2O3 and Garnet material of different size 2mesh, 4mesh, 6mesh. A Genetic algorithm (GA) is implemented to optimize the Material Removal Rate, Surface Roughness, Kerf width using R2010a MATLAB software. Codice articolo 9786200302106
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Investigation and Performance Analysis of AWJM using MCDMM | An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200302103
ISBN 13: 9786200302106
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Taschenbuch. Condizione: Neu. Investigation and Performance Analysis of AWJM using MCDMM | An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method | Sunil V. Patel (u. a.) | Taschenbuch | 124 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200302106 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 117630800
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Investigation and Performance Analysis of AWJM using MCDMM: An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200302103
ISBN 13: 9786200302106
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82962003021036
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