Optimization Face Milling Process by Singh Chandan (6 results)
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
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Taschenbuch. Condition: Neu. Optimization of face milling process for D3 (Die Steel) by using RSM | Chandan Deep Singh (u. a.) | Taschenbuch | 60 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330052000 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]…preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2017, 2017
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In present study an effort has been made to optimize the CNC milling parameters for D3 material using Response Surface Method (RSM) to maximize material removal rate (MRR) and minimize surface Roughness. As Speed (rpm), Feed (mm/min…) and depth of cut (mm) are the main milling parameters to optimize includes operator skill, Tool used, work material, machining conditions, coolant used etc. as noise factors. Therefore considered parameters to optimize in present study are speed, feed and depth of cut. Surface Roughness (Ra) and material removal rate (Ra) are the considered responses. Machining has been done on kitumura 1992 model series CNC vertical milling machine with 4 flute carbide tool on the RSM matrix of input parameters. Further material removal rate (MRR) and surface roughness (Ra) are measured. Then analysis work has been done using regression test. After that we got optimized parameters for CNC milling to get maximum MRR and Minimum Ra. The optimum values of machining parameters - cutting speed, feed and depth of cut were determined as 2210.07 rpm, 850 mm/min and 0.237430 mm respectively. 60 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh Chandan DeepDr. Chandan Deep Singh is working as an assistant professor in deptt. of mechanical engg., Punjabi University, Patiala. He has completed his Ph.D. in mechanical engg. in 2016. He has a…round 60 publication in various.
Language: English
Published by LAP LAMBERT Academic Publishing Mär 2017, 2017
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In present study an effort has been made to optimize the CNC milling parameters for D3 material using Response Surface Method (RSM) to maximize material removal rate (MRR) and minimize surface Roughness. As Speed (rpm), Feed (mm/min) an…d depth of cut (mm) are the main milling parameters to optimize includes operator skill, Tool used, work material, machining conditions, coolant used etc. as noise factors. Therefore considered parameters to optimize in present study are speed, feed and depth of cut. Surface Roughness (Ra) and material removal rate (Ra) are the considered responses. Machining has been done on kitumura 1992 model series CNC vertical milling machine with 4 flute carbide tool on the RSM matrix of input parameters. Further material removal rate (MRR) and surface roughness (Ra) are measured. Then analysis work has been done using regression test. After that we got optimized parameters for CNC milling to get maximum MRR and Minimum Ra. The optimum values of machining parameters - cutting speed, feed and depth of cut were determined as 2210.07 rpm, 850 mm/min and 0.237430 mm respectively.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In present study an effort has been made to optimize the CNC milling parameters for D3 material using Response Surface Method (RSM) to maximize material removal rate (MRR) and minimize surface Roughness. As Speed (rpm), Feed (mm/min) and… depth of cut (mm) are the main milling parameters to optimize includes operator skill, Tool used, work material, machining conditions, coolant used etc. as noise factors. Therefore considered parameters to optimize in present study are speed, feed and depth of cut. Surface Roughness (Ra) and material removal rate (Ra) are the considered responses. Machining has been done on kitumura 1992 model series CNC vertical milling machine with 4 flute carbide tool on the RSM matrix of input parameters. Further material removal rate (MRR) and surface roughness (Ra) are measured. Then analysis work has been done using regression test. After that we got optimized parameters for CNC milling to get maximum MRR and Minimum Ra. The optimum values of machining parameters - cutting speed, feed and depth of cut were determined as 2210.07 rpm, 850 mm/min and 0.237430 mm respectively.
