Machining of advance aerospace materials like alloys of aluminum has posed a lot of challenges with the existing cutting tools higher the metal feed cutting rate lower is the surface finish and lower is metal feed cutting rate better is the surface finish. Also surface finish has played a prominent role in the machining of materials as it determines the number of steps required for process of aluminum alloy from the initial stage i.e. raw material stage to finished product. The experimental investigation was conducted by varying different operating parameters like spindle speed, feed rate and depth of cut. The obtained results were taken as inputs and by using Artificial Neural Network to obtain optimized solution of different conflicting parameters in terms of higher feed rate, maximum depth of cut and higher spindle speed accompanied by best surface finish.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machining of advance aerospace materials like alloys of aluminum has posed a lot of challenges with the existing cutting tools higher the metal feed cutting rate lower is the surface finish and lower is metal feed cutting rate better is the surface finish. Also surface finish has played a prominent role in the machining of materials as it determines the number of steps required for process of aluminum alloy from the initial stage i.e. raw material stage to finished product. The experimental investigation was conducted by varying different operating parameters like spindle speed, feed rate and depth of cut. The obtained results were taken as inputs and by using Artificial Neural Network to obtain optimized solution of different conflicting parameters in terms of higher feed rate, maximum depth of cut and higher spindle speed accompanied by best surface finish. 64 pp. Englisch. Bestandsnummer des Verkäufers 9786203582741
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: SRINIVASAN D.R.Dr. D.R. Srinivasan is currently working as Assistant Professor in the Department of Mechanical Engineering at JNTUA College of Engineering, Anantapur. He has 10 years of experience in manufacturing industry and 17 yea. Bestandsnummer des Verkäufers 468666748
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machining of advance aerospace materials like alloys of aluminum has posed a lot of challenges with the existing cutting tools higher the metal feed cutting rate lower is the surface finish and lower is metal feed cutting rate better is the surface finish. Also surface finish has played a prominent role in the machining of materials as it determines the number of steps required for process of aluminum alloy from the initial stage i.e. raw material stage to finished product. The experimental investigation was conducted by varying different operating parameters like spindle speed, feed rate and depth of cut. The obtained results were taken as inputs and by using Artificial Neural Network to obtain optimized solution of different conflicting parameters in terms of higher feed rate, maximum depth of cut and higher spindle speed accompanied by best surface finish.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Bestandsnummer des Verkäufers 9786203582741
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machining of advance aerospace materials like alloys of aluminum has posed a lot of challenges with the existing cutting tools higher the metal feed cutting rate lower is the surface finish and lower is metal feed cutting rate better is the surface finish. Also surface finish has played a prominent role in the machining of materials as it determines the number of steps required for process of aluminum alloy from the initial stage i.e. raw material stage to finished product. The experimental investigation was conducted by varying different operating parameters like spindle speed, feed rate and depth of cut. The obtained results were taken as inputs and by using Artificial Neural Network to obtain optimized solution of different conflicting parameters in terms of higher feed rate, maximum depth of cut and higher spindle speed accompanied by best surface finish. Bestandsnummer des Verkäufers 9786203582741
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Taschenbuch. Zustand: Neu. SURFACE ROUGHNESS PREDICTION OF AL ALLOY USING ANN IN CNC TURNING | Using Ann in CNC Turning to Predict Surface Roughness of an Al Alloy RDE-40 and H-15 | D. R. Srinivasan (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203582741 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 119945793
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