Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200264171 ISBN 13: 9786200264176
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200264171 ISBN 13: 9786200264176
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is concerned an experimental study of turning on Austenitic Stainless steel of grade AISI 202. The objective is to optimize machining parameters so as to minimize the surface roughness and maximize the MRR for the selected work materials in the chosen domain of the experiment. The experiment has been conducted in an experiment matrix of Taguchi L9 experiment. The relationship between the machining parameters and the response variables have been modelled and analyzed using the optimization plot. Analysis of Variance (ANOVA) was used to investigate the significance of these parameters on the response variables, and to determine a regression equation for the response variables with the machining parameters as the independent variables, with the help of a quadratic model. Main effects and interaction plots from the ANOVA were obtained and studied along with contour and 3-D surface plots. 60 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200264171 ISBN 13: 9786200264176
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ranjan RajeevRajeev Ranjan, an alumnus of NITTTR, Kolkata and Subhas Chandra Moi, an alumnus of Jadavpur University, Kolkata. They are presently serving Dr. B. C. Roy Engineering College Durgapur as an Asst. Professor. They are invol.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200264171 ISBN 13: 9786200264176
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is concerned an experimental study of turning on Austenitic Stainless steel of grade AISI 202. The objective is to optimize machining parameters so as to minimize the surface roughness and maximize the MRR for the selected work materials in the chosen domain of the experiment. The experiment has been conducted in an experiment matrix of Taguchi L9 experiment. The relationship between the machining parameters and the response variables have been modelled and analyzed using the optimization plot. Analysis of Variance (ANOVA) was used to investigate the significance of these parameters on the response variables, and to determine a regression equation for the response variables with the machining parameters as the independent variables, with the help of a quadratic model. Main effects and interaction plots from the ANOVA were obtained and studied along with contour and 3-D surface plots.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200264171 ISBN 13: 9786200264176
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is concerned an experimental study of turning on Austenitic Stainless steel of grade AISI 202. The objective is to optimize machining parameters so as to minimize the surface roughness and maximize the MRR for the selected work materials in the chosen domain of the experiment. The experiment has been conducted in an experiment matrix of Taguchi L9 experiment. The relationship between the machining parameters and the response variables have been modelled and analyzed using the optimization plot. Analysis of Variance (ANOVA) was used to investigate the significance of these parameters on the response variables, and to determine a regression equation for the response variables with the machining parameters as the independent variables, with the help of a quadratic model. Main effects and interaction plots from the ANOVA were obtained and studied along with contour and 3-D surface plots.