Published by LAP LAMBERT Academic Publishing Dez 2020, 2020
ISBN 10: 6203197092 ISBN 13: 9786203197099
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
US$ 65.87
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Add to basketTaschenbuch. Condition: Neu. Neuware -Now a day¿s Computer Numerical Controlled machines are being used in every kind of manufacturing processes. Reliability on CNC machines abnormally increasing. CNC machines easily realize the programs like tool- offset, compensation of tool, various degree of computation, and the ability to send the data and receive it from various sources, including remote sources also. CNC machines move the cutting equipment in light of orders that are pre- programmed and offer high accuracy. So, for better accuracy and higher productivity rate CNC lathe considered than conventional lathe. The Main Aim of this Project is to assess the Best process by which the requirements of Productivity and Quality are satisfied. This project also Eradicate the Main Effects of Input Parameters on Tool Wear Rate by Using Conventional Method. Analysis of Variance is used to calculate the Statistical Data.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.
Published by LAP LAMBERT Academic Publishing Dez 2020, 2020
ISBN 10: 6203197092 ISBN 13: 9786203197099
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 65.87
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Now a day's Computer Numerical Controlled machines are being used in every kind of manufacturing processes. Reliability on CNC machines abnormally increasing. CNC machines easily realize the programs like tool- offset, compensation of tool, various degree of computation, and the ability to send the data and receive it from various sources, including remote sources also. CNC machines move the cutting equipment in light of orders that are pre- programmed and offer high accuracy. So, for better accuracy and higher productivity rate CNC lathe considered than conventional lathe. The Main Aim of this Project is to assess the Best process by which the requirements of Productivity and Quality are satisfied. This project also Eradicate the Main Effects of Input Parameters on Tool Wear Rate by Using Conventional Method. Analysis of Variance is used to calculate the Statistical Data. 96 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6203197092 ISBN 13: 9786203197099
Language: English
Seller: moluna, Greven, Germany
US$ 54.52
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramarao B. S. VDr. BSV Ramarao is currently working as a professor and HoD at Pragati Engineering College (A). His Qualifications are PhD, M.E, MBA, BE and DME. He is having more than 18 years of teaching experience and taught more t.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6203197092 ISBN 13: 9786203197099
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 66.66
Convert currencyQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Now a day's Computer Numerical Controlled machines are being used in every kind of manufacturing processes. Reliability on CNC machines abnormally increasing. CNC machines easily realize the programs like tool- offset, compensation of tool, various degree of computation, and the ability to send the data and receive it from various sources, including remote sources also. CNC machines move the cutting equipment in light of orders that are pre- programmed and offer high accuracy. So, for better accuracy and higher productivity rate CNC lathe considered than conventional lathe. The Main Aim of this Project is to assess the Best process by which the requirements of Productivity and Quality are satisfied. This project also Eradicate the Main Effects of Input Parameters on Tool Wear Rate by Using Conventional Method. Analysis of Variance is used to calculate the Statistical Data.