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Advanced Engineering Design

An Integrated Approach

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2016
ISBN13: 9780081016633
Rubricering
Elsevier Science e druk, 2016 9780081016633
€ 199,00
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Samenvatting

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.

Specificaties

ISBN13:9780081016633
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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