Subject of this book is the effect of welding process parameters on the mechanical properties of aluminum alloy Al 6061 and Al 6063 using friction stir welding (FSW). Different friction stir welded specimens were produced by employing variable welding speed and tool rotation speed. Al 6061 and Al 6063 aluminum alloy plates were welded using a taper shaped pin tool made of high carbon high chromium (HCHCr) D2 tool steel. Ultimate tensile strength, hardness and bending tests were performed to evaluate the welding strength at the joints. Experiments were carried out as per Taguchi’s orthogonal L9 array. Taguchi’s signal to noise ratio and analysis of variance methods are used to find out the most significant parameter. From the statistical analysis it was found that spindle speed is the significant process parameter. Also developed empirical model using multiple (linear and nonlinear) regressions modeling method. Finally, genetic algorithm has been employed to find out the optimal setting of process parameters that optimize performance measures. MATLAB coding was used to develop the nonlinear model. MATLAB optimization tool box was used to optimize the process parameter.
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Subject of this book is the effect of welding process parameters on the mechanical properties of aluminum alloy Al 6061 and Al 6063 using friction stir welding (FSW). Different friction stir welded specimens were produced by employing variable welding speed and tool rotation speed. Al 6061 and Al 6063 aluminum alloy plates were welded using a taper shaped pin tool made of high carbon high chromium (HCHCr) D2 tool steel. Ultimate tensile strength, hardness and bending tests were performed to evaluate the welding strength at the joints. Experiments were carried out as per Taguchi’s orthogonal L9 array. Taguchi’s signal to noise ratio and analysis of variance methods are used to find out the most significant parameter. From the statistical analysis it was found that spindle speed is the significant process parameter. Also developed empirical model using multiple (linear and nonlinear) regressions modeling method. Finally, genetic algorithm has been employed to find out the optimal setting of process parameters that optimize performance measures. MATLAB coding was used to develop the nonlinear model. MATLAB optimization tool box was used to optimize the process parameter.
Rahul Baburao Dhabale - Bachelor of Engineering; Studied Industrial and Mechanical Engineering at Mumbai and Shivaji University. Working in Symbiosis Institute of Technology, Symbiosis International University. Research interests - Material science, Manufacturing and Bio-material. Registered one patent as well as published 10 research papers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Subject of this book is the effect of welding process parameters on the mechanical properties of aluminum alloy Al 6061 and Al 6063 using friction stir welding (FSW). Different friction stir welded specimens were produced by employing variable welding speed and tool rotation speed. Al 6061 and Al 6063 aluminum alloy plates were welded using a taper shaped pin tool made of high carbon high chromium (HCHCr) D2 tool steel. Ultimate tensile strength, hardness and bending tests were performed to evaluate the welding strength at the joints. Experiments were carried out as per Taguchi's orthogonal L9 array. Taguchi's signal to noise ratio and analysis of variance methods are used to find out the most significant parameter. From the statistical analysis it was found that spindle speed is the significant process parameter. Also developed empirical model using multiple (linear and nonlinear) regressions modeling method. Finally, genetic algorithm has been employed to find out the optimal setting of process parameters that optimize performance measures. MATLAB coding was used to develop the nonlinear model. MATLAB optimization tool box was used to optimize the process parameter. 52 pp. Englisch. N° de réf. du vendeur 9783330320406
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Subject of this book is the effect of welding process parameters on the mechanical properties of aluminum alloy Al 6061 and Al 6063 using friction stir welding (FSW). Different friction stir welded specimens were produced by employing variable welding speed and tool rotation speed. Al 6061 and Al 6063 aluminum alloy plates were welded using a taper shaped pin tool made of high carbon high chromium (HCHCr) D2 tool steel. Ultimate tensile strength, hardness and bending tests were performed to evaluate the welding strength at the joints. Experiments were carried out as per Taguchi's orthogonal L9 array. Taguchi's signal to noise ratio and analysis of variance methods are used to find out the most significant parameter. From the statistical analysis it was found that spindle speed is the significant process parameter. Also developed empirical model using multiple (linear and nonlinear) regressions modeling method. Finally, genetic algorithm has been employed to find out the optimal setting of process parameters that optimize performance measures. MATLAB coding was used to develop the nonlinear model. MATLAB optimization tool box was used to optimize the process parameter. N° de réf. du vendeur 9783330320406
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. N° de réf. du vendeur 3330320400
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dhabale Rahul B.Rahul Baburao Dhabale - Bachelor of Engineering Studied Industrial and Mechanical Engineering at Mumbai and Shivaji University. Working in Symbiosis Institute of Technology, Symbiosis International University. Resear. N° de réf. du vendeur 151237805
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Subject of this book is the effect of welding process parameters on the mechanical properties of aluminum alloy Al 6061 and Al 6063 using friction stir welding (FSW). Different friction stir welded specimens were produced by employing variable welding speed and tool rotation speed. Al 6061 and Al 6063 aluminum alloy plates were welded using a taper shaped pin tool made of high carbon high chromium (HCHCr) D2 tool steel. Ultimate tensile strength, hardness and bending tests were performed to evaluate the welding strength at the joints. Experiments were carried out as per Taguchi's orthogonal L9 array. Taguchi's signal to noise ratio and analysis of variance methods are used to find out the most significant parameter. From the statistical analysis it was found that spindle speed is the significant process parameter. Also developed empirical model using multiple (linear and nonlinear) regressions modeling method. Finally, genetic algorithm has been employed to find out the optimal setting of process parameters that optimize performance measures. MATLAB coding was used to develop the nonlinear model. MATLAB optimization tool box was used to optimize the process parameter.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9783330320406
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