In the present work a simple solution technique based on one dimensional golden section method has been used for finding out optimal cutting conditions for single pass face milling operation. The production cost per piece function is minimized under practical constraints of surface finish, cutting power, cutting force and limits of speed and feed per tooth. The common practice is to use some nonlinear programming method to find out solution to single pass problems. Geometric programming (GP) based methods have been preferred because the objective function is posynomial and constraints are monomials. Instead a very simple straight forward strategy has been adopted for minimization of production cost per piece for single pass. The production cost function is generally written in terms of speed, feed (V-S) variables. This function can be converted to tool life, feed (T-S) function. It may be observed that a given tool life minimum production cost is obtained using largest allowable feed under the constraints. A reasonable lower and upper limits of tool life and golden section method once taken initially is applied for search over the tool life.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the present work a simple solution technique based on one dimensional golden section method has been used for finding out optimal cutting conditions for single pass face milling operation. The production cost per piece function is minimized under practical constraints of surface finish, cutting power, cutting force and limits of speed and feed per tooth. The common practice is to use some nonlinear programming method to find out solution to single pass problems. Geometric programming (GP) based methods have been preferred because the objective function is posynomial and constraints are monomials. Instead a very simple straight forward strategy has been adopted for minimization of production cost per piece for single pass. The production cost function is generally written in terms of speed, feed (V-S) variables. This function can be converted to tool life, feed (T-S) function. It may be observed that a given tool life minimum production cost is obtained using largest allowable feed under the constraints. A reasonable lower and upper limits of tool life and golden section method once taken initially is applied for search over the tool life. 52 pp. Englisch. Bestandsnummer des Verkäufers 9786204726977
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srivastava Er.Rajesh KumarRajesh Kumar Srivastava M. Tech (ME) First Class from HBTU, Kanpur. He is working Mechanical Engineering Department IIT Kanpur.Prof. Rajive Gupta had passed M.Tech From IIT Kanpur than he joined Maruti Udyog. Bestandsnummer des Verkäufers 538387089
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Taschenbuch. Zustand: Neu. Neuware -In the present work a simple solution technique based on one dimensional golden section method has been used for finding out optimal cutting conditions for single pass face milling operation. The production cost per piece function is minimized under practical constraints of surface finish, cutting power, cutting force and limits of speed and feed per tooth. The common practice is to use some nonlinear programming method to find out solution to single pass problems. Geometric programming (GP) based methods have been preferred because the objective function is posynomial and constraints are monomials. Instead a very simple straight forward strategy has been adopted for minimization of production cost per piece for single pass. The production cost function is generally written in terms of speed, feed (V-S) variables. This function can be converted to tool life, feed (T-S) function. It may be observed that a given tool life minimum production cost is obtained using largest allowable feed under the constraints. A reasonable lower and upper limits of tool life and golden section method once taken initially is applied for search over the tool life.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Bestandsnummer des Verkäufers 9786204726977
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the present work a simple solution technique based on one dimensional golden section method has been used for finding out optimal cutting conditions for single pass face milling operation. The production cost per piece function is minimized under practical constraints of surface finish, cutting power, cutting force and limits of speed and feed per tooth. The common practice is to use some nonlinear programming method to find out solution to single pass problems. Geometric programming (GP) based methods have been preferred because the objective function is posynomial and constraints are monomials. Instead a very simple straight forward strategy has been adopted for minimization of production cost per piece for single pass. The production cost function is generally written in terms of speed, feed (V-S) variables. This function can be converted to tool life, feed (T-S) function. It may be observed that a given tool life minimum production cost is obtained using largest allowable feed under the constraints. A reasonable lower and upper limits of tool life and golden section method once taken initially is applied for search over the tool life. Bestandsnummer des Verkäufers 9786204726977
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Optimal Cutting Condition for Face Milling Operation | A simple approach for determination of optimal cutting condition for face milling operation under practical constraints | Er. Rajesh Kumar Srivastava (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204726977 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120932813
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