Machining Modeling: A Comparative Study - Couverture souple

Bouzid, Lakhdar ; Yallese, Mohamed A ; Maaoui, Said

9786630113662: Machining Modeling: A Comparative Study

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ISBN 10 : 6630113667 ISBN 13 : 9786630113662

Editeur : Our Knowledge Publishing, 2026

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�diteur: Our Knowledge Publishing
Date d'�dition: 2026
Langue: anglais
ISBN 10: 6630113667
ISBN 13: 9786630113662
Reliure: Broch�
Nombre de pages: 68
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Machining Modeling (Paperback)

Lakhdar Bouzid

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6630113667 ISBN 13 : 9786630113662

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Paperback. Etat : new. Paperback. During machining, the conditions for success are determined in the cutting zone. In this context, the relationship between cutting conditions (cutting speed, feed rate, depth of cut, and tool type) and surface roughness (Ra and Rt) represents a major industrial objective. This work focuses on an experimental study examining the effects of cutting parameters on surface roughness, obtained during the machining of 42Cd4 steel (AISI 4140) hardened to 60 HRC, machined via dry hard turning using ceramic and metal carbide tools. The study is divided into two parts: the first focuses on proposing mathematical models to predict surface roughness, based on two modeling methods: the response surface methodology (RSM) and artificial neural networks (ANNs). The second part involves comparing the results of the two modeling methods-RSM and ANNs-in order to select the most effective one. Based on the comparative study, the ANN models proved to be better at predicting surface roughness within the range of the experiments conducted than the SRM models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9786630113662

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Machining Modeling: A Comparative Study

Bouzid, Lakhdar

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6630113667 ISBN 13 : 9786630113662

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur L2-9786630113662

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Machining Modeling: A Comparative Study

Bouzid, Lakhdar; Yallese, Mohamed A; Maaoui, Said

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6630113667 ISBN 13 : 9786630113662

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Machining Modeling: A Comparative Study

Bouzid, Lakhdar

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6630113667 ISBN 13 : 9786630113662

Neuf PAP

Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur L2-9786630113662

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Machining Modeling: A Comparative Study

Lakhdar Bouzid

Edit� par Our Knowledge Publishing Jun 2026, 2026

ISBN 10 : 6630113667 ISBN 13 : 9786630113662

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. N� de r�f. du vendeur 9786630113662

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Machining Modeling (Paperback)

Lakhdar Bouzid

Edit� par Our Knowledge Publishing, 2026

ISBN 10 : 6630113667 ISBN 13 : 9786630113662

Neuf Paperback

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Vendeur : CitiRetail, Stevenage, Royaume-Uni

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Paperback. Etat : new. Paperback. During machining, the conditions for success are determined in the cutting zone. In this context, the relationship between cutting conditions (cutting speed, feed rate, depth of cut, and tool type) and surface roughness (Ra and Rt) represents a major industrial objective. This work focuses on an experimental study examining the effects of cutting parameters on surface roughness, obtained during the machining of 42Cd4 steel (AISI 4140) hardened to 60 HRC, machined via dry hard turning using ceramic and metal carbide tools. The study is divided into two parts: the first focuses on proposing mathematical models to predict surface roughness, based on two modeling methods: the response surface methodology (RSM) and artificial neural networks (ANNs). The second part involves comparing the results of the two modeling methods-RSM and ANNs-in order to select the most effective one. Based on the comparative study, the ANN models proved to be better at predicting surface roughness within the range of the experiments conducted than the SRM models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786630113662

Contacter le vendeur