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 Advanced transport phenomena : banalysis, modeling and computations 

An integrated, modern approach to transport phenomena for graduate students, featuring traditional and contemporary examples to demonstrate the diverse practical applications of the theory. Written in an easy to follow style, the basic principles of transport phenomena, and model building are recapped in Chapters 1 and 2 before progressing logically through more advanced topics including physicochemical principles behind transport models. Treatments of numerical, analytical, and computational solutions are presented side by side, often with sample code in MATLAB, to aid students' understanding and develop their confidence in using computational skills to solve real-world problems. Learning objectives and mathematical prerequisites at the beginning of chapters orient students to what is required in the chapter, and summaries and over 400 end-of-chapter problems help them retain the key points and check their understanding. Online supplementary material including solutions to problems for instructors, supplementary reading material, sample computer codes, and case studies complete the package

Call No.
: TP156.T7 b.R36 2014
Published
: 2014
Publisher
: Cambridge university press
Category
Page
: 774 p.
Rating
:

Barcode
Title of Copy
Status
PB000397
Advanced transport phenomena : banalysis, modeling and computations
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MARC Information
020 a : ISBN 
9780521762618 
050 a : Classification No. 
050 b : Author ID 
b.R36 
050 b : Publish Year 
2014 
100 a : Author 
245 a : Title 
Advanced transport phenomena : banalysis, modeling and computations 
260 c : Date of publication 
2014 
260 b : Name of publisher 
Cambridge university press 
260 a : Place of publication 
Cambridge 
300 a : Total pages 
774 p. 
520 a : Description 
An integrated, modern approach to transport phenomena for graduate students, featuring traditional and contemporary examples to demonstrate the diverse practical applications of the theory. Written in an easy to follow style, the basic principles of transport phenomena, and model building are recapped in Chapters 1 and 2 before progressing logically through more advanced topics including physicochemical principles behind transport models. Treatments of numerical, analytical, and computational solutions are presented side by side, often with sample code in MATLAB, to aid students' understanding and develop their confidence in using computational skills to solve real-world problems. Learning objectives and mathematical prerequisites at the beginning of chapters orient students to what is required in the chapter, and summaries and over 400 end-of-chapter problems help them retain the key points and check their understanding. Online supplementary material including solutions to problems for instructors, supplementary reading material, sample computer codes, and case studies complete the package 
650 a : Subject 
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