Determination of Optimal Cutting Parameters in Turning Operation

Jyoti Vimal

ISBN 10: 6204735683 / ISBN 13: 9786204735689

Editore: LAP LAMBERT Academic Publishing Jan 2022, 2022

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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.

Codice articolo 9786204735689

Dati bibliografici

• Titolo: Determination of Optimal Cutting Parameters in Turning Operation
• Editore: LAP LAMBERT Academic Publishing Jan 2022
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 6204735683
• ISBN 13: 9786204735689
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 5 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 5 millimetri di profondità
• Peso: 131 grammi

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Riassunto

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.