Pub. Date:
Oxford University Press, USA
Axiomatic Design: Advances and Applications / Edition 1

Axiomatic Design: Advances and Applications / Edition 1

by Nam Pyo Suh


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Product Details

ISBN-13: 9780195134667
Publisher: Oxford University Press, USA
Publication date: 05/17/2001
Series: MIT-Pappalardo Series in Mechanical Engineering Series
Edition description: New Edition
Pages: 528
Product dimensions: 9.20(w) x 7.50(h) x 1.20(d)

About the Author

Massachusetts Institute of Technology

Table of Contents

On the MIT-Pappalardo Series of Mechanical Engineering Books
On the CIRP Design Book Series
1. Introduction to Axiomatic Design
1.1. Introduction
1.2. Current State of Design Practice
1.3. Who Are the Designers? How Do We Design? What Is Design?
1.4. What Is the Ultimate Goal of Axiomatic Design?
1.5. Role of Axioms in Development of Science and Technology: A Historical Perspective
1.6. Axiomatic Approach versus Algorithmic Approach
1.7. Axiomatic Design Framework
1.7.1. The Concept of Domains
1.7.2. Definitions
1.7.3. Mapping from Customer Needs to Functional Requirements
1.7.4. The First Axiom: The Independence Axiom
1.7.5. Ideal Design, Redundant Design, and Coupled Designs: A Matter of Relative Numbers of DPs and FRs
1.7.6. Examples Involving Decoupling of Coupled Designs
1.7.7. Decomposition, Zigzagging, and Hierarchy
1.7.8. Requirements for Concurrent Engineering
1.7.9. The Second Axiom: The Information Axiom
1.7.10. Reduction of the Information Content: Robust Design Elimination of Bias Reduction of Variance
1.7.11. Reduction of the Information Content through Integration of DPs
1.7.12. Designing with Incomplete Information
1.8. Common Mistakes Made by Designers
1.9. Comparison of Axiomatic Design with Other Methodologies
1.10. Summary
Appendix 1A Corollaries and Theorems
2. One-FR Design, the Information Axiom, and Robust Design
2.1. Introduction
2.2. Introduction to One-FR Design
2.2.1. One-FR Design versus Multi-FR Design
2.2.2. Minimization of the Information Content
2.3. Design Issues for the One-FR Design
2.4. One-FR Design and Information Content
2.4.1. One-FR Design with No Constraints Robustness through Lower Stiffness Stiffness and Response Rate Robust Design by Making the System "Immune" to Variation
2.4.2. One-FR Design with Constraints
2.4.3 Nonlinear One-FR Design with Constraints.
2.5. Elimination of Bias and Reduction of Variance
2.6. Robust Design
2.6.1. Determination of Tolerances for Robust Design
2.6.2. Effect of Noise on FRs in Design and Manufacturing
2.6.3. Robustness and the Rate of Response in Nonlinear Design
2.7. Design Process
2.8. Summary
Appendix 2A Stress in a Thick Wall Tube
Appendix 2B Discrete Random Variables: Expected Values, Variance, and Standard Deviation
Appendix 2C Continuous Random Variables: Expected Value, Variance, Standard Deviation, and Multivariate Random Variables
3. Multi-FR Design
3.1. Introduction
3.2. Brief Review of Axiomatic Theory for Multi-FR Designs
3.3. The Independence Axiom and the Information Axiom: Their Implications for a Multi-FR Design Task
3.4. On Ideal Multi-FR Design
3.5. Uncoupled and Decoupled Multi-FR Designs
3.5.1. Propagation of Tolerances in Uncoupled, Decoupled, and Coupled Designs and Its Implications for Design Robustness
3.5.2. Examples of Mulit-FR Design
3.6. Information Content, Complexity, and Noise of Multi-FR Design
3.6.1. The Relationship between Complexity and Information Content
3.6.2. Determination of Information Content of Uncoupled, Decoupled, and Coupled Designs
3.6.3. Accommodating Noise in the Design Process
3.7. Integration of DPs to Minimize the Information Content
3.8. Nonlinear Multi-FR Design
3.9. Design of Dispatching Rules and Schedules: Avoiding Traffic Congestion
3.9.1. Dispatching Rules and the Independence Axiom
3.9.2. Scheduling
3.10. Axiomatic Design Basis for Robust Design
3.10.1. One-FR Design
3.10.2. Multi-FR Design
3.10.3. Information Content of Multi-FR Design
3.11. Summary
Appendix 3A. Independence of the Two Design Axioms
Appendix 3B. Corollaries and Theorems Related to Information and Complexity
Appendix 3C. Probability of Success of Decoupled and Uncoupled Designs When There Is No Bias
Appendix 3D. Why Coupling in Design Should Be Avoided
4. Design of Systems
4.1. Introduction
4.2. Issues Related to System Design
4.3. Classification of Systems
4.4. Axiomatic Design Theory for Fixed Systems
4.5. Design and Operation of Large Systems
4.5.1. Introduction to Large-System Issues
4.5.2. What Is a Large System?
4.5.3. Definition of a Large Flexible System
4.5.4. Axiomatic Design of a Large Flexible System
4.5.5. Systems Synthesis through Physical Integration of DPs
4.5.6. On Designing the Best Large Flexible System
4.5.7. Theorems Related to the Design of Large Systems
4.6. Representation of the System Architecture of Fixed Systems
4.6.1. Hierarchies in Design Domains through Decomposition of FRs, DPs, and PVs: A Representation of the System Architecture
4.6.2. Design Matrix and Module-Junction Diagrams: Another Means of System Representation
4.6.3. Flow Diagram: A Representation of System Architecture
4.6.4. System Control Command
4.7. Mathematical Modeling, Simulation, and Optimization of Systems
4.8. Application of the Flow Diagram of the System Architecture
4.9. On Human-Machine Interface
4.10. Summary
5. Axiomatic Design of Software
5.1. Introduction
5.2. Axiomatic Design Theory for Software Design
5.2.1. Review of the Axiomatic Design Process for Software
5.2.3. Application of the Flow Diagram
5.3. Software Design Process
5.4. Axiomatic Design of Object-Oriented Software Systems
5.4.1. Object-Oriented Techniques
5.4.2. Modified OOT for Compatibility with Axiomatic Design
5.4.3. Basics of Axiomatic Design of Object-Oriented Software Systems
5.5. Axiomatic Design of Object-Oriented Software System for Designers: Acclaro Software
5.5.1. Introduction
5.5.2. Axiomatic Design of Acclaro Software
5.5.3. Axiomatic Design on the FR1141 Branch
5.5.4. Object-Oriented Model: Bottom-Up Approach
5.5.5. Coding with the System Architecture
5.6. Design of Rapid-Prototyping Software for Real-Time Control of Hardware/Software System
5.7. An Ideal Software System
5.8. Other Issues Related to Software Design
5.8.1. Reusability
5.8.2. Extensionality
5.8.3. Knowledge and Information Requirements in Software Design
5.9. Implications of the Information Axiom in Software Design
5.9.1. Qualitative Implementation of the Information Axiom
5.9.2. Quantitative Measure of the Information Content
5.10. Summary
6. Axiomatic Design of Manufacturing Systems
6.1. Introduction
6.2. Basic Requirements of a Manufacturing System
6.3. Elements of Manufacturing Systems
6.4. Axiomatic Design of Fixed Manufacturing Systems for Identical Parts
6.4.1. Highest Level Design of a Fixed Manufacturing System
6.4.2. Analytical Solutions for Queues in Decouplers
6.5. Axiomatic Design of a Flexible Manufacturing System for Different Types of Parts
6.6. Mathematical Modeling and Optimization of Design
6.7. Representation of Manufacturing System Architecture
6.8. Summary
7. Axiomatic Design of Materials and Materials-Processing Techniques
7.1. Introduction
7.2. Mixalloys
7.2.1. History of Mixalloys
7.2.2. Design of Dispersion-Strengthened Metals: Mapping from the Functional Domain to the Physical Domain
7.2.3. Design of the Process: Mapping from the Physical Domain to the Process Domain
7.2.4. Further Development of the Process Rapid Solidification Metering the Flow Rate of Two Streams Final Processing
7.2.5. Mixalloy Equipment
7.2.6. Properties of Mixalloys: Dispersion-Strengthened Copper
7.3. Microcellular Plastics
7.3.1. Introduction to Microcellular Plastics
7.3.2. Design of a Batch Process
7.3.3. Design of Continuous Process Brief Introduction to the Physics of the Process Design of a Continuous Process
7.3.4. Performance of Microcellular Plastics
7.3.5. Other Advantages of the MuCell Process
7.4. Layered Manufacturing Processes for Rapid Prototyping
7.4.1. Design of Layered Manufacturing Processes
7.4.2. Information Content of Layered Manufacturing Processes
7.5. Summary
8. Product Development
8.1 Introduction.
8.1.1. Important Questions to Ask before Developing a New Product
8.1.2. Basic Requirements of Product Manufacture
8.1.3. How Should Companies Avoid Making Mistakes during Product Development?
8.1.4. What Have Universitites Done in This Area?
8.1.5. Customization of Products to Satisfy Individual Customers
8.1.6. Total Quality Management (TQM)
8.2. Mapping from the Customer Domain to the Functional Domain
8.2.1. For Existing Products
8.2.2. For New Innovative Products
8.3. Mapping from FRs to DPs
8.3.1. Decomposition of FS2 and DP2
8.4. Application of the Information Axiom
8.4.1. General Criteria
8.4.2. Error Budgeting
8.5. Case Study: Depth Charge
8.5.1. Case Study Background
8.5.2. Effectively Searching for Potential Design Solutions
8.5.3. Design of the Depth Charge Initiator Problem Definition Highest Level of FRs and DPs Decomposing the Initiatior (FR1) Design of Subsystems Final Comments on the Case Study
8.6. Chemical-Mechanical Planarization (CMP) Machine
8.6.1. Design of the Mechanical System Design through Decomposition Master Design Matrix (Full Design Matrix) Overall System Design
8.6.2. Axiomatic Development of CMP a Machine Control System System Level Application Level Sequence Level System Integration
8.7. Concurrent Engineering: Mapping from FR to DP to PV
8.8. Product Service
8.9. System Architecture
8.10. Summary
9. A Theory of Complexity: The Design Axioms, Information, Complexity, and Periodicity
9.1. Introduction
9.2. Complexity, Uncertainty, Information, and Periodicity
9.2.1. Preliminary Remarks
9.2.2. Definition of Complexity
9.2.3. Time-Independent Complexities: Real Complexity, Imaginary Complexity, and Absolute Complexity Real Complexity Imaginary Complexity Absolute Complexity
9.2.4. Time-Dependent Complexity: Combinatorial Complexity and Periodic Complexity.
9.3. Reduction of Uncertainty: Conversion of a Design with Time-Dependent Combinatorial Complexity to a Design with Time-Dependent Periodic Complexity
9.4. Distinction between Time-Independent and Time-Dependent Complexities
9.5. Other Implications of the Design Axioms and Periodic Complexity: A Speculation
9.5.1. Nature
9.5.2. Biological Systems and Living Beings
9.5.3. Artificial Systems
9.6. Complexity of Natural Phenomena
9.7. Summary

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