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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Taschenbuch. Condition: 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. Seller Inventory # 9786204735689
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Condition: 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. Seller Inventory # 559295394
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Taschenbuch. Condition: 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. Seller Inventory # 9786204735689
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Taschenbuch. Condition: 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. Seller Inventory # 9786204735689
Quantity: 1 available