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Artificial neural network implementation in machining & manufacturing: Temperature influence in cutting zone during machining process - Softcover
Inhaltsangabe
The main aim of the study was to evaluate temperature influence in cutting zone on the forms of chip shapes during turning of Steel 30CrNiMo8. It is very important to use optimal machining parameters to get the best production results or to high control of the machining process. Temperature distribution in cutting zone during machining process could affect the forms of chip shapes and surface roughness as well. Surface roughness could be considered as the most important indicator for the machining process quality. Since many machining parameters could be changed in order to obtain optimal machining condition in this study the main aim was to determine the most important parameters of the process. Neuro-fuzzy approach was applied since it is highly suitable approach for the nonlinear system with many different parameters. It is found that spot temperature is more influential than maximal temperature during the machining process.
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Über die Autorin bzw. den Autor
Obrad Ani¿i¿, se graduó en la Facultad Técnica de ¿äak en 2007 en el campo de: Tecnología e Informática y adquirió el título de profesor de enseñanza técnica. Aprobado para la licencia de profesor-educador en 2010 con menciones especiales. Defendió su tesis doctoral en marzo de 2019 en la Facultad de Bellas Artes de Mitrovica.
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Artificial neural network implementation in machining & manufacturing
Verlag:
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10: 620471919X
ISBN 13: 9786204719191
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main aim of the study was to evaluate temperature influence in cutting zone on the forms of chip shapes during turning of Steel 30CrNiMo8. It is very important to use optimal machining parameters to get the best production results or to high control of the machining process. Temperature distribution in cutting zone during machining process could affect the forms of chip shapes and surface roughness as well. Surface roughness could be considered as the most important indicator for the machining process quality. Since many machining parameters could be changed in order to obtain optimal machining condition in this study the main aim was to determine the most important parameters of the process. Neuro-fuzzy approach was applied since it is highly suitable approach for the nonlinear system with many different parameters. It is found that spot temperature is more influential than maximal temperature during the machining process. 60 pp. Englisch. Bestandsnummer des Verkäufers 9786204719191
Neu kaufen
EUR 39,90
EUR 23,00 Versand
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Artificial neural network implementation in machining & manufacturing : Temperature influence in cutting zone during machining process
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620471919X
ISBN 13: 9786204719191
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main aim of the study was to evaluate temperature influence in cutting zone on the forms of chip shapes during turning of Steel 30CrNiMo8. It is very important to use optimal machining parameters to get the best production results or to high control of the machining process. Temperature distribution in cutting zone during machining process could affect the forms of chip shapes and surface roughness as well. Surface roughness could be considered as the most important indicator for the machining process quality. Since many machining parameters could be changed in order to obtain optimal machining condition in this study the main aim was to determine the most important parameters of the process. Neuro-fuzzy approach was applied since it is highly suitable approach for the nonlinear system with many different parameters. It is found that spot temperature is more influential than maximal temperature during the machining process. Bestandsnummer des Verkäufers 9786204719191
Neu kaufen
EUR 45,66
EUR 35,00 Versand
Versand von Deutschland nach USA
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Artificial neural network implementation in machining & manufacturing
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620471919X
ISBN 13: 9786204719191
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anicic ObradObrad Anicic, graduated from the Technical Faculty in Cacak in 2007 in the field of: Technology and Informatics and acquired the title of professor of technical education. Passed for the teacher-educator license in 2010 w. Bestandsnummer des Verkäufers 537543959
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Foto des Verkäufers
Artificial neural network implementation in machining & manufacturing
Verlag:
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10: 620471919X
ISBN 13: 9786204719191
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main aim of the study was to evaluate temperature influence in cutting zone on the forms of chip shapes during turning of Steel 30CrNiMo8. It is very important to use optimal machining parameters to get the best production results or to high control of the machining process. Temperature distribution in cutting zone during machining process could affect the forms of chip shapes and surface roughness as well. Surface roughness could be considered as the most important indicator for the machining process quality. Since many machining parameters could be changed in order to obtain optimal machining condition in this study the main aim was to determine the most important parameters of the process. Neuro-fuzzy approach was applied since it is highly suitable approach for the nonlinear system with many different parameters. It is found that spot temperature is more influential than maximal temperature during the machining process.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Bestandsnummer des Verkäufers 9786204719191
Neu kaufen
EUR 39,90
EUR 60,00 Versand
Versand von Deutschland nach USA
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