Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems.
Arun Kumar Gupta is presently serving as an Assistant Professor in the Department of Mechanical Engineering at the Vaish College of Engineering, Rohtak, INDIA. He is PhD from Mechanical Engineering Department, NIT Kurukshetra, INDIA. His current research interest areas include Industrial Automation, Mechatronics, Manufacturing and Soft Computing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems. 152 pp. Englisch. N° de réf. du vendeur 9783659610226
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta Arun KumarArun Kumar Gupta is presently serving as an Assistant Professor in the Department of Mechanical Engineering at the Vaish College of Engineering, Rohtak, INDIA. He is PhD from Mechanical Engineering Department, NIT Kur. N° de réf. du vendeur 5168139
Quantité disponible : Plus de 20 disponibles
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. N° de réf. du vendeur 9783659610226
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems. N° de réf. du vendeur 9783659610226
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Optimization Of Machining Parameters & Non Productive Time For Milling | Arun Kumar Gupta | Taschenbuch | 152 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659610226 | 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 105074042
Quantité disponible : 5 disponible(s)