Modelling of Materials Processing

Stangle, G.

ISBN 10: 0412711206 / ISBN 13: 9780412711206

Published by Chapman and Hall, 1998

About this Item

Treats materials processing from a theoretical and thus mathematical and quantitative point of view. This book draws from various fields to provide a theoretical basis upon which any materials synthesis and fabrication process may be described. Series: Materials Technology Series. Num Pages: 928 pages, biography. BIC Classification: TDC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 49. Weight in Grams: 1603. . 1998. Hardback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780412711206

Bibliographic Details

• Title: Modelling of Materials Processing
• Publisher: Chapman and Hall
• Publication Date: 1998
• Language: English
• ISBN 10: 0412711206
• ISBN 13: 9780412711206
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This is a book about mathematical modelling. It focuses on the modelling of the preparation of materials. Materials are important, of course, in an economic sense: the "goods" of goods-and-services are made of materials. This provides a strong incentive to produce good materials and to improve existing materials. Mathematical modelling can help in this regard. Without a doubt, modelling a materials processing operation is not strictly necessary. Materials synthesis and fabrication processes certainly existed before the invention of mathematics and computers, and well before the combined use of mathematics and computers. Modelling can, however, be of assistance--if done properly--and if used properly. The mathematical modelling described in this book is, at its root, a rather formal, structured way of thinking about materials synthesis and fabrication processes. It requires looking at a process as a whole. It requires considering everything that is or might be important. It requires translating the details of a given physical process into one or more mathematical equations. It requires knowing how to simplify the equations without over-simplifying them.

About the Author

Gregory C. Stangle, Ph.D. Chemical Engineering (1985) was a Research Scientist at the University of Washington, and joined the faculty of the State University of New York in 1990.