9786203582741 - 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 de srinivasan, d.r.; rajendraprasad, s. (9 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: 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.
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Condición: New. Print on Demand pp. 64.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 64.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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 bette…r 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.
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Condición: 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 ma…nufacturing industry and 17 yea.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: 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.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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.
