In a Computer Aided Process Planning (CAPP) system, one of the important modules is determination of optimal cutting conditions. It is suggested that a multipass turning operation can be broken into few rough as well as a finish pass turning problem for a given depth of cut. It is easy to solve a single pass turning problem for a given depth of cut. The production cost per piece has been minimized under practical constraints of cutting force, cutting power, surface finish, stable cutting region, chip-tool interface temperature etc. under limits of cutting speed and feed. The common practice is to use a nonlinear programming technique, evolutionary algorithm such as simulated annealing algorithm, genetic algorithm, etc. for finding out optimum cutting conditions for a single pass turning operation. The constraint inequalities are represented in terms of cutting speed and feed. These relationships give a linear closed polygon in ln speed-ln feed plane using principle of geometric programming and simple logic. The global optimum in feasible region can be easily located.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vimal JyotiDr. Jyoti Vimal is working as Assistant Professor, in Mechanical Engineering Department, Madhav Institute of Technology & Science,Gwalior, M.P, India. He has published more than 40 research paper.Dr. Rajive Gupta is workin. N° de réf. du vendeur 559295394
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a Computer Aided Process Planning (CAPP) system, one of the important modules is determination of optimal cutting conditions. It is suggested that a multipass turning operation can be broken into few rough as well as a finish pass turning problem for a given depth of cut. It is easy to solve a single pass turning problem for a given depth of cut. The production cost per piece has been minimized under practical constraints of cutting force, cutting power, surface finish, stable cutting region, chip-tool interface temperature etc. under limits of cutting speed and feed. The common practice is to use a nonlinear programming technique, evolutionary algorithm such as simulated annealing algorithm, genetic algorithm, etc. for finding out optimum cutting conditions for a single pass turning operation. The constraint inequalities are represented in terms of cutting speed and feed. These relationships give a linear closed polygon in ln speed-ln feed plane using principle of geometric programming and simple logic. The global optimum in feasible region can be easily located. 76 pp. Englisch. N° de réf. du vendeur 9786204735689
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a Computer Aided Process Planning (CAPP) system, one of the important modules is determination of optimal cutting conditions. It is suggested that a multipass turning operation can be broken into few rough as well as a finish pass turning problem for a given depth of cut. It is easy to solve a single pass turning problem for a given depth of cut. The production cost per piece has been minimized under practical constraints of cutting force, cutting power, surface finish, stable cutting region, chip-tool interface temperature etc. under limits of cutting speed and feed. The common practice is to use a nonlinear programming technique, evolutionary algorithm such as simulated annealing algorithm, genetic algorithm, etc. for finding out optimum cutting conditions for a single pass turning operation. The constraint inequalities are represented in terms of cutting speed and feed. These relationships give a linear closed polygon in ln speed-ln feed plane using principle of geometric programming and simple logic. The global optimum in feasible region can be easily located. N° de réf. du vendeur 9786204735689
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Taschenbuch. Etat : Neu. Neuware -In a Computer Aided Process Planning (CAPP) system, one of the important modules is determination of optimal cutting conditions. It is suggested that a multipass turning operation can be broken into few rough as well as a finish pass turning problem for a given depth of cut. It is easy to solve a single pass turning problem for a given depth of cut. The production cost per piece has been minimized under practical constraints of cutting force, cutting power, surface finish, stable cutting region, chip-tool interface temperature etc. under limits of cutting speed and feed. The common practice is to use a nonlinear programming technique, evolutionary algorithm such as simulated annealing algorithm, genetic algorithm, etc. for finding out optimum cutting conditions for a single pass turning operation. The constraint inequalities are represented in terms of cutting speed and feed. These relationships give a linear closed polygon in ln speed-ln feed plane using principle of geometric programming and simple logic. The global optimum in feasible region can be easily located.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. N° de réf. du vendeur 9786204735689
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