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9783659900372: Feature based technique for machining time estimation

Sinopsis

Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this book author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This model is then compared with the existing commercial software and other time estimation methods. The experimental data indicate that the proposed feature based model is reliable, practical and feasible. NC machining time estimation is a critical factor considered for manufacturing process planning and scheduling. Based on this time estimation process engineers can design and develop optimum design of products to reduce the manufacturing cycle time and hence reduce manufacturing costs.

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Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this book author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This model is then compared with the existing commercial software and other time estimation methods. The experimental data indicate that the proposed feature based model is reliable, practical and feasible. NC machining time estimation is a critical factor considered for manufacturing process planning and scheduling. Based on this time estimation process engineers can design and develop optimum design of products to reduce the manufacturing cycle time and hence reduce manufacturing costs.

Biografía del autor

Akash Shukla has completed Diploma in Mechanical Engineering from Sir Bhavsinhji Polytechnic Institute, Bhavnagar and Bachelors in Mechanical Engineering from Government Engineering College, Bhavnagar. He has recently completed Masters in Mechanical Engineering specialization in CAD/CAM. He has published 5 papers in International Journal.

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Akash Shukla
ISBN 10: 3659900370 ISBN 13: 9783659900372
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this book author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This model is then compared with the existing commercial software and other time estimation methods. The experimental data indicate that the proposed feature based model is reliable, practical and feasible. NC machining time estimation is a critical factor considered for manufacturing process planning and scheduling. Based on this time estimation process engineers can design and develop optimum design of products to reduce the manufacturing cycle time and hence reduce manufacturing costs. 76 pp. Englisch. Nº de ref. del artículo: 9783659900372

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Akash Shukla
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659900370 ISBN 13: 9783659900372
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this book author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This model is then compared with the existing commercial software and other time estimation methods. The experimental data indicate that the proposed feature based model is reliable, practical and feasible. NC machining time estimation is a critical factor considered for manufacturing process planning and scheduling. Based on this time estimation process engineers can design and develop optimum design of products to reduce the manufacturing cycle time and hence reduce manufacturing costs. Nº de ref. del artículo: 9783659900372

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Akash Shukla|Vijay Makawana
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659900370 ISBN 13: 9783659900372
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shukla AkashAkash Shukla has completed Diploma in Mechanical Engineering from Sir Bhavsinhji Polytechnic Institute, Bhavnagar and Bachelors in Mechanical Engineering from Government Engineering College, Bhavnagar. He has recently com. Nº de ref. del artículo: 159147288

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ISBN 10: 3659900370 ISBN 13: 9783659900372
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Taschenbuch. Condición: Neu. Neuware -Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this book author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This model is then compared with the existing commercial software and other time estimation methods. The experimental data indicate that the proposed feature based model is reliable, practical and feasible. NC machining time estimation is a critical factor considered for manufacturing process planning and scheduling. Based on this time estimation process engineers can design and develop optimum design of products to reduce the manufacturing cycle time and hence reduce manufacturing costs.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Nº de ref. del artículo: 9783659900372

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