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Predict the Best Variants of Cutting in Turning Process
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6200482314
ISBN 13 : 9786200482310
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 -An optimization based on genetic algorithm (GA) for determining the cutting parameters in machining operations is proposed. In turning metal cutting processes, cutting conditions are influencing the tool wear and material removal rate. The genetic algorithm has been used as an optimal solution tool in order to find optimal cutting parameters during a turning process. Moreover, process optimization has to yield minimum tool wear, tool life, and maximum material removal rate. The material that selected for the machining is EN24T steel, since it's used in different applications such as rollers, bolts, screws and connecting rods. The turning operation is implemented on CNC lathe with SINUMERIK 802D in order to study the performance characteristics for turning of EN24T Steel by taking coated carbide inserts cutting tool. Furthermore, the analysis of variance (ANOVA) is applied to find the significant input parameters which will mostly affect the output responses. Since the genetic algorithm-based approach can obtain the near-optimal solution, it can be used for machining parameter selection of machined parts that require many machining constraints. 52 pp. Englisch. N° de réf. du vendeur 9786200482310
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Predict the Best Variants of Cutting in Turning Process
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6200482314
ISBN 13 : 9786200482310
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 385892108
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EUR 34,25
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Expédition depuis Allemagne vers Etats-Unis
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Predict the Best Variants of Cutting in Turning Process
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6200482314
ISBN 13 : 9786200482310
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 -An optimization based on genetic algorithm (GA) for determining the cutting parameters in machining operations is proposed. In turning metal cutting processes, cutting conditions are influencing the tool wear and material removal rate. The genetic algorithm has been used as an optimal solution tool in order to find optimal cutting parameters during a turning process. Moreover, process optimization has to yield minimum tool wear, tool life, and maximum material removal rate. The material that selected for the machining is EN24T steel, since it's used in different applications such as rollers, bolts, screws and connecting rods. The turning operation is implemented on CNC lathe with SINUMERIK 802D in order to study the performance characteristics for turning of EN24T Steel by taking coated carbide inserts cutting tool. Furthermore, the analysis of variance (ANOVA) is applied to find the significant input parameters which will mostly affect the output responses. Since the genetic algorithm-based approach can obtain the near-optimal solution, it can be used for machining parameter selection of machined parts that require many machining constraints.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786200482310
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EUR 39,90
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Predict the Best Variants of Cutting in Turning Process : Using Genetic Algorithm Technique
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6200482314
ISBN 13 : 9786200482310
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 - An optimization based on genetic algorithm (GA) for determining the cutting parameters in machining operations is proposed. In turning metal cutting processes, cutting conditions are influencing the tool wear and material removal rate. The genetic algorithm has been used as an optimal solution tool in order to find optimal cutting parameters during a turning process. Moreover, process optimization has to yield minimum tool wear, tool life, and maximum material removal rate. The material that selected for the machining is EN24T steel, since it's used in different applications such as rollers, bolts, screws and connecting rods. The turning operation is implemented on CNC lathe with SINUMERIK 802D in order to study the performance characteristics for turning of EN24T Steel by taking coated carbide inserts cutting tool. Furthermore, the analysis of variance (ANOVA) is applied to find the significant input parameters which will mostly affect the output responses. Since the genetic algorithm-based approach can obtain the near-optimal solution, it can be used for machining parameter selection of machined parts that require many machining constraints. N° de réf. du vendeur 9786200482310
Acheter neuf
EUR 40,89
Expédition à EUR 60,48
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)