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Artificial neural network implementation in machining & manufacturing: Temperature influence in cutting zone during machining process - Couverture souple
Synopsis
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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Artificial neural network implementation in machining & manufacturing
Edité par
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10 : 620471919X
ISBN 13 : 9786204719191
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786204719191
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EUR 39,90
Expédition à EUR 23
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Artificial neural network implementation in machining & manufacturing
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620471919X
ISBN 13 : 9786204719191
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : 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. N° de réf. du vendeur 537543959
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Expédition à EUR 48,99
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Artificial neural network implementation in machining & manufacturing
Edité par
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10 : 620471919X
ISBN 13 : 9786204719191
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786204719191
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EUR 39,90
Expédition à EUR 60
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Artificial neural network implementation in machining & manufacturing : Temperature influence in cutting zone during machining process
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620471919X
ISBN 13 : 9786204719191
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786204719191
Acheter neuf
EUR 40,89
Expédition à EUR 60,54
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
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Artificial neural network implementation in machining & manufacturing | Temperature influence in cutting zone during machining process
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 620471919X
ISBN 13 : 9786204719191
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Artificial neural network implementation in machining & manufacturing | Temperature influence in cutting zone during machining process | Obrad Ani¿i¿ | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204719191 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 120928654
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EUR 36,35
Expédition à EUR 70
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Quantité disponible : 5 disponible(s)