Overview

This book is extremely important to the field because it presents a unified framework for theory and practice, which is proven theoretically and by many cases from various engineering fields. Specifically, there are four major aspects that make the book unique: 1) The book develops a formal systems approach to design (including theorems, analysis of principles of design and information theory). 2) Methods for efficient design are rigorously derived from the theory, based on AI and optimization. 3) The scope of the book covers many engineering disciplines under a unified framework, including mechanical, electrical, civil, industrial, manufacturing systems, and apparel industry. Thus, it applies to readers from various disciplines, theoreticians and practitioners. DFM and DFA are also covered. 4) The book provides the methodology for developing the next generation computer software for advanced intelligent CAD (Computer Aided Design). Audience: The book is especially appropriate for courses in engineering (mechanical, industrial, electrical, and civil). It is also a useful reference for practicing engineers interested in design and optimization, and for applied mathematicians and computer software developers engaged in smart CAD applications.

Full Product Details

Author:   D. Braha ,  O. Maimon
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1998
Volume:   17
Dimensions:   Width: 15.50cm , Height: 3.50cm , Length: 23.50cm
Weight:   1.068kg
ISBN:  

9781441947987

ISBN 10:   1441947981
Pages:   682
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

One The Design Process: Properties, Paradigms and the Evolutionary Structure.- 1 Introduction and Overview.- 2 Design as Scientific Problem-Solving.- 3 Introductory Case Studies.- Two Formal Design Theory (FDT).- 4 Representation of Design Artifacts.- 5 The Idealized Design Process.- 6 Modeling the Evolutionary Design Process.- 7 Guided Heuristics in Engineering Design.- 8 The Measurement of a Design Structural and Functional Complexity.- 9 Statistical Analysis of the Time Complexity Measure.- Three Algorithmic and Heuristic Methods for Design Decision Support.- 10 Intelligent Advisory Tool for Design Decomposition.- 11 Physical Design of Printed Circuit Boards: Group Technology Approach.- 12 Physical Design of Printed Circuit Boards: Genetic Algorithm Approach.- 13 Adaptive Learning for Successful Design.- 14 Maintaining Consistency in the Design Process.- 15 Constraint-Based Design of Faired Parametric Curves.- 16 Creating a Consistent 3-D Virtual Last for Problems in the Shoe Industry.- Four Detailed Design Applications.- 17 Design of a Wormgear Reducer: A Case Study.- 18 Adaptive Learning for Successful Flexible Manufacturing Cell Design: A Case Study.- 19 Maintaining Design Consistency: Examples.- 20 Cases in Evolutionary Design Processes.- Five Practical Considerations.- 21 Concluding Reflections.- References.

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