modeling materials processing di dantzig jonathan (16 risultati)

Condizione: New.

Condizione: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780521779234.

Condizione: Very Good.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Presenting a treatment of modeling in materials processing, integrating metallic and non-metallic materials. Num Pages: 378 pages, 113 b/w illus. 17 tables. BIC Classification: TGM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 176 x 20. Weight in Grams: 670. . 2001. 1st. Paperback. . . . . Books ship from the US and Ireland.

Condizione: New. Presenting a treatment of modeling in materials processing, integrating metallic and non-metallic materials. Num Pages: 378 pages, 113 b/w illus. 17 tables. BIC Classification: TGM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 176 x 20. Weight in Grams: 670. . 2001. 1st. Paperback. . . . .

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematical modeling and computer simulation are useful tools for improving materials processing. While courses in materials processing have covered modeling, they have traditionally been devoted to one particular class of materials, that is, polymers, metals, or ceramics. This text offers a different approach, presenting an integrated treatment of metallic and non-metallic materials. The authors show that a common base of knowledge - specifically, the fundamentals of heat transfer and fluid mechanics - provides a unifying theme for these seemingly disparate areas. Emphasis is placed on understanding basic physical phenomena and knowing how to include them in a model. The book also treats selected numerical methods, showing the relationship between the physical system, analytical solution, and the numerical scheme. A wealth of practical, realistic examples are provided, as well as homework exercises. Students, and practising engineers who must deal with a wide variety of materials and processing problems, will benefit from the unified treatment presented in this book.

Paperback. Condizione: Brand New. 416 pages. 9.75x7.00x0.75 inches. In Stock. This item is printed on demand.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condizione: new. Paperback. Mathematical modeling and computer simulation are useful tools for improving materials processing. While courses in materials processing have covered modeling, they have traditionally been devoted to one particular class of materials, that is, polymers, metals, or ceramics. This text offers a new approach, presenting an integrated treatment of metallic and non-metallic materials. The authors show that a common base of knowledge - specifically, the fundamentals of heat transfer and fluid mechanics - provides a unifying theme for these seemingly disparate areas. Emphasis is placed on understanding basic physical phenomena and knowing how to include them in a model. The book also treats selected numerical methods, showing the relationship between the physical system, analytical solution, and the numerical scheme. A wealth of practical, realistic examples are provided, as well as homework exercises. Students, and practising engineers who must deal with a wide variety of materials and processing problems, will benefit from the unified treatment presented in this book. This text offers a new approach to modeling in materials processing. It shows a common base of knowledge among metallic and non-metallic materials and presents an integrated treatment. Chapters explain how to develop analytical models and the use of scaling analysis to simplify general governing equations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. Mathematical modeling and computer simulation are useful tools for improving materials processing. While courses in materials processing have covered modeling, they have traditionally been devoted to one particular class of materials, that is, polymers, metals, or ceramics. This text offers a new approach, presenting an integrated treatment of metallic and non-metallic materials. The authors show that a common base of knowledge - specifically, the fundamentals of heat transfer and fluid mechanics - provides a unifying theme for these seemingly disparate areas. Emphasis is placed on understanding basic physical phenomena and knowing how to include them in a model. The book also treats selected numerical methods, showing the relationship between the physical system, analytical solution, and the numerical scheme. A wealth of practical, realistic examples are provided, as well as homework exercises. Students, and practising engineers who must deal with a wide variety of materials and processing problems, will benefit from the unified treatment presented in this book. This text offers a new approach to modeling in materials processing. It shows a common base of knowledge among metallic and non-metallic materials and presents an integrated treatment. Chapters explain how to develop analytical models and the use of scaling analysis to simplify general governing equations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presenting a treatment of modeling in materials processing, integrating metallic and non-metallic materials.Inhaltsverzeichnis1. Introduction 2. Governing equations 3. Scaling and model simplification 4. Heat conduction and materi.