FSW of Alloys of Mg using Multi Response Optimization Techniques: Formulation of Quadratic Regression Models for Optimization of Parameters - Softcover
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FSW of Alloys of Mg using Multi Response Optimization Techniques
Published by
LAP LAMBERT Academic Publishing Feb 2022, 2022
ISBN 10: 6204747517
ISBN 13: 9786204747514
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to devise and establish quadratic regression equations including various input criterions of FSW technique to predict and determine the responses during the fabrication of AZ80A and AZ91C Mg alloy joints. The input process parameters taken into consideration include traversing speed of tool, speed of rotation of tool, its pin profile (geometry) and the axial force. A 5 level, 4-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts to anticipate the responses for various mechanical properties. Competency of the generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results sketched in the form of scatter diagrams revealed precedent coincidence with that of the generated models. AZ80AMg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/sec traversing speed, under the exertion of an axial load of 4.87 kN, were found to exhibit improved mechanical properties. 196 pp. Englisch. Seller Inventory # 9786204747514
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FSW of Alloys of Mg using Multi Response Optimization Techniques
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204747517
ISBN 13: 9786204747514
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: C Dr. SatheeshDr.C.Satheesh completed his Ph.D.in Anna University in the area of FSW. His research interest includes FSW, EDM & Optimization Techniques.Dr.P.Sevvel, Professor, S.A. Engineering College, has 6 Indian Patent GRANTS, pub. Seller Inventory # 570611634
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FSW of Alloys of Mg using Multi Response Optimization Techniques
Published by
LAP LAMBERT Academic Publishing Feb 2022, 2022
ISBN 10: 6204747517
ISBN 13: 9786204747514
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to devise and establish quadratic regression equations including various input criterions of FSW technique to predict and determine the responses during the fabrication of AZ80A and AZ91C Mg alloy joints. The input process parameters taken into consideration include traversing speed of tool, speed of rotation of tool, its pin profile (geometry) and the axial force. A 5 level, 4-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts to anticipate the responses for various mechanical properties. Competency of the generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results sketched in the form of scatter diagrams revealed precedent coincidence with that of the generated models. AZ80AMg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/sec traversing speed, under the exertion of an axial load of 4.87 kN, were found to exhibit improved mechanical properties.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. Seller Inventory # 9786204747514
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FSW of Alloys of Mg using Multi Response Optimization Techniques : Formulation of Quadratic Regression Models for Optimization of Parameters
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204747517
ISBN 13: 9786204747514
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to devise and establish quadratic regression equations including various input criterions of FSW technique to predict and determine the responses during the fabrication of AZ80A and AZ91C Mg alloy joints. The input process parameters taken into consideration include traversing speed of tool, speed of rotation of tool, its pin profile (geometry) and the axial force. A 5 level, 4-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts to anticipate the responses for various mechanical properties. Competency of the generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results sketched in the form of scatter diagrams revealed precedent coincidence with that of the generated models. AZ80AMg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/sec traversing speed, under the exertion of an axial load of 4.87 kN, were found to exhibit improved mechanical properties. Seller Inventory # 9786204747514
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FSW of Alloys of Mg using Multi Response Optimization Techniques | Formulation of Quadratic Regression Models for Optimization of Parameters
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204747517
ISBN 13: 9786204747514
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. FSW of Alloys of Mg using Multi Response Optimization Techniques | Formulation of Quadratic Regression Models for Optimization of Parameters | Satheesh C (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204747514 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 121312111