Products with complicated shapes require superior surface finish to perform the intended function. Despite significant developments in technology, finishing operations are still performed semi automatically/manually, relying on the skills of the machinist. The pressure to produce products at the best quality in the shortest lead time has made it highly inconvenient to depend on traditional methods. Thus, there is a rising need for automation which has become a resource to remain competitive in the manufacturing industry. Diminishing return of trading quality over time in finishing operations signifies the importance of having a pre-determined trajectory (tool path) that produces an optimum surface in the least possible machining time. Tool path optimization for finishing process considering tool kinematics is of relatively low importance in the present scenario. The available automation in polishing processes encompass around the dynamics of machining. An overview of optimizing the tool path using evolutionary algorithms, considering the significance of process dynamics and kinematics for superior performance has been presented.
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Dr. Sarath Chandran is presently working as an assistant professor on contract at the Central University of Karnataka. He holds a Mphil degree from Madurai Kamaraj University and a Ph.D. from North-Eastern Hill University Shillong Meghalaya. Dr. Subrata Purkayastha is an Assistant Professor at North-Eastern Hill University Shillong Meghalaya.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Products with complicated shapes require superior surface finish to perform the intended function. Despite significant developments in technology, finishing operations are still performed semi automatically/manually, relying on the skills of the machinist. The pressure to produce products at the best quality in the shortest lead time has made it highly inconvenient to depend on traditional methods. Thus, there is a rising need for automation which has become a resource to remain competitive in the manufacturing industry. Diminishing return of trading quality over time in finishing operations signifies the importance of having a pre-determined trajectory (tool path) that produces an optimum surface in the least possible machining time. Tool path optimization for finishing process considering tool kinematics is of relatively low importance in the present scenario. The available automation in polishing processes encompass around the dynamics of machining. An overview of optimizing the tool path using evolutionary algorithms, considering the significance of process dynamics and kinematics for superior performance has been presented. 196 pp. Englisch. Bestandsnummer des Verkäufers 9786138335153
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chandran SarathSarath Chandran is a mechanical engineering graduate who likes to extensively contribute to the field of Mechanical engineering. Although he is stupid in general, he has his moments every now and then with his research. Bestandsnummer des Verkäufers 385847383
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Taschenbuch. Zustand: Neu. Neuware -Products with complicated shapes require superior surface finish to perform the intended function. Despite significant developments in technology, finishing operations are still performed semi automatically/manually, relying on the skills of the machinist. The pressure to produce products at the best quality in the shortest lead time has made it highly inconvenient to depend on traditional methods. Thus, there is a rising need for automation which has become a resource to remain competitive in the manufacturing industry. Diminishing return of trading quality over time in finishing operations signifies the importance of having a pre-determined trajectory (tool path) that produces an optimum surface in the least possible machining time. Tool path optimization for finishing process considering tool kinematics is of relatively low importance in the present scenario. The available automation in polishing processes encompass around the dynamics of machining. An overview of optimizing the tool path using evolutionary algorithms, considering the significance of process dynamics and kinematics for superior performance has been presented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. Bestandsnummer des Verkäufers 9786138335153
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Taschenbuch. Zustand: Neu. Simulation, analysis and optimization of automated polishing processes | Analysis and simulation of robot finishing operations | Sarath Chandran (u. a.) | Taschenbuch | 196 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138335153 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 113086619
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Products with complicated shapes require superior surface finish to perform the intended function. Despite significant developments in technology, finishing operations are still performed semi automatically/manually, relying on the skills of the machinist. The pressure to produce products at the best quality in the shortest lead time has made it highly inconvenient to depend on traditional methods. Thus, there is a rising need for automation which has become a resource to remain competitive in the manufacturing industry. Diminishing return of trading quality over time in finishing operations signifies the importance of having a pre-determined trajectory (tool path) that produces an optimum surface in the least possible machining time. Tool path optimization for finishing process considering tool kinematics is of relatively low importance in the present scenario. The available automation in polishing processes encompass around the dynamics of machining. An overview of optimizing the tool path using evolutionary algorithms, considering the significance of process dynamics and kinematics for superior performance has been presented. Bestandsnummer des Verkäufers 9786138335153
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