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Advanced Engineering Design

Book Description

This book provides engineers and students with a general framework focusing on the processes of designing new engineering products. The procedures covered by the framework lead the reader to the best trade-offs to ensure maximum satisfaction of the customer’s needs, meeting the lowest cost expectations, ensuring the lowest environmental impact and maximising profits and best positioning in the marketplace. Chapters discuss the engineering tools that are compatible with these goals and sustainable activity.

  • The design process is defined in terms of operators acting over the information space
  • The information content is defined as a difference of entropies
  • Creation and destruction of entropy are defined as procedures of the design process

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. List of figures and tables
  7. Acknowledgments
  8. About the author
  9. Chapter 1: The design process
    1. Abstract:
    2. 1.1 The concept of design and related terms
    3. 1.2 Design as a value-generating process in society
    4. 1.3 The goal of design theories
    5. 1.4 Background
    6. 1.5 The scope of design theories
    7. 1.6 The definition of design
    8. 1.7 The characteristics of design
    9. 1.8 Design problem
    10. 1.9 Activities in the design process
    11. 1.10 Information management
    12. 1.11 The design process as a product
    13. 1.12 The importance of the design process
    14. 1.13 The importance of Design Science
  10. Chapter 2: Information, entropy and its relationship to design
    1. Abstract:
    2. 2.1 The design process in terms of probabilities
    3. 2.2 Definition of design
    4. 2.3 Uncertainty
    5. 2.4 Entropy
    6. 2.5 Joint entropy, conditioned entropy and relative entropy
    7. 2.6 Mutual information
    8. 2.7 Upper and lower bounds of mutual information. Information content of a variable
    9. 2.8 Process information
    10. 2.9 Spaces of definition: need–solution–response–satisfaction
    11. 2.10 Degree of satisfaction
    12. 2.11 Conceptual and detailed design
    13. 2.12 Operators. Necessary, generated and available information
    14. 2.13 First statements
  11. Chapter 3: Axiomatic design
    1. Abstract:
    2. 3.1 Introduction to axiomatic design
    3. 3.2 Independence axiom
    4. 3.3 Information axiom
    5. 3.4 Independence of the axioms
    6. 3.5 Most relevant theorems and corollaries
    7. 3.6 Design process
    8. 3.7 Example application in the aeronautical industry: main bearing configuration on a jet engine
    9. 3.8 Quantitative study of the design matrix
    10. 3.9 Example application: flow and temperature control 54
  12. Chapter 4: Metric design
    1. Abstract:
    2. 4.1 Introduction to metric design
    3. 4.2 Quality loss
    4. 4.3 System design and parameter design
    5. 4.4 Tolerance design
    6. 4.5 Robust design
    7. 4.6 Cost-effectiveness of advanced design techniques
    8. 4.7 Example application
  13. Chapter 5: Reliability-based design
    1. Abstract:
    2. 5.1 Objective of reliability calculations
    3. 5.2 Definition of reliability
    4. 5.3 Calculating the probability of failure
    5. 5.4 First-Order Reliability Model (FORM)
    6. 5.5 Semi-empirical reliability model
    7. 5.6 Example application: influence of radial clearance on bearing life with a surface fatigue failure mode
  14. Chapter 6: Entropy-based design
    1. Abstract:
    2. 6.1 The Minimum Tolerance Theorem
    3. 6.2 The Linearity Theorem
    4. 6.3 Example application: conceptual design of a fuel supply system for gasoline engines
    5. 6.4 The principle of minimum generation of entropy and information
  15. Appendix: statistical concepts
  16. Index