Table of contents for Rapid prototyping and engineering applications : a toolbox for prototype development / Frank W. Liou.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.

Rapid Prototyping and Engineering Applications: A Toolbox for Prototyping Development
1.1	Development of A Successful Product
1.1.2 World-Class Manufacturing
1.1.2 Product Definition
1.1.3 Engineering Design Process
1.2	Product Prototyping and Its Impact
1.2.1 Prototype Design and Innovation
1.2.2 Impact on Cost, Quality, and Time
1.2.3 Key Process Requirements for Rapid Prototyping
1.3	Product Prototyping and Product Development
1.3.1 What is Prototyping? 
1.3.2 Virtual Prototyping in Product Development
1.3.3 Rapid Prototyping in Product Development
2.1 Product Prototyping
2.1.1 When Is Prototyping Needed?
2.1.2 Common Mistakes and Issues in Product Prototyping
2.1.3 How to Conduct Prototyping? 
2.1.4 Physical Prototype Design Procedure
2.2 Prototype Planning and Management
2.2.1 Project Vision In Project Management
2.2.2 How to Manage Prototype Projects? 
2.2.3 Project Risk Management
2.3 Product and Prototype Cost Estimation
2.3.1 Fundamental Cost Concepts
2.3.2 Prototype Cost Estimation
2.3.3 The Cost Complexities
2.4 Prototype Design Methods
2.4.1 Engineering Problem Solving
2.4.2 Prototype Design Principles
2.4.3 House of Quality
2.4.4 Product Design Specifications
2.5 Prototype Design Tools
2.5.1 Evaluating Alternatives
2.5.2 Useful Idea Generation Methods
2.6 Paper Prototyping
2.6.1 Selecting a Prototype
2.6.2 Paper Prototyping
2.6.3 User Tests
2.7 Learning from Nature
2.7.1 Learning from Nature
2.7.2 Synectics
2.7.3 Better Products - Back to the Nature
3.1 Mathematical Modeling
3.1.1 Relationship between Mathematics and Physics: An Example
3.1.2 Using Models for Product and Prototype Design and Evaluatio
3.2 Modeling of Physical Systems
3.2.1 Types of Modeling
3.2.2 Examples of Physical Modeling
3.3 Product Modeling
3.3.1. Product Model
3.3.2 Formal Model
3.4. Using Commercial Software for Virtual Prototyping
3.4.1 Dynamic Analysis for Prototype Motion Evaluation
3.4.2 Finite Element Analysis for Prototype Structure Evaluation
3.5 Virtual Reality and Virtual Prototyping
3.5.1 Virtual prototyping
3.5.2 An Augmented Reality System: An Example
4.1	Prototyping Materials
4.1.1	Prototyping and Material Properties
4.1.2	Material Selection Methods
4.1.3	Material Selection Processes for High Fidelity Prototypes
4.2	Modeling of Material Properties
4.3	Modeling and Design of Materials and Structures
4.3.1	Cost of Unit Strength
4.3.2	Cost of Unit Stiffness
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7.1	How to decide what to purchase?
7.1.1 Purchasing Decision for a Prototype
7.1.2 What to Purchase?
7.1.3 Draw a Flow Diagram of Signals and Components
7.1.4 Prioritize the Precision of the System
7.2	How to find the catalogs that have the needed components?
7.2.1 Evaluating Companies and Products
7.2.2 Component Selection
7.3	How to ensure that the purchased components will work together?
7.4	Tolerance Analysis
7.5	Tolerance Stack Analysis
7.6	Assembly Stacks
7.7	Process Capability
7.8	Statistical Tolerance Analysis
7.9	Case Study: Conceptual Design of A Chamber Cover
8.1	Actuators
8.1.1 Actuators
8.1.2 Drives
8.1.3 When to Choose an Actuator
8.2	Sensors
8.2.1 Sensor Classification Based on Sensor Technology
8.2.2 Sensor Selection
8.3	Controllers and Analyzers
8.3.1 PLC Control
8.3.2 Computer Control
8.4	Mechanisms
8.4.1 Mechanisms in Automation
8.4.2 Applications and Selection of Mechanisms
9.1 Introduction to Design of Experiments
9.1.1 Design of Experiments
9.1.2 Loss Function
9.2 Orthogonal Arrays
9.2.1 What is Orthogonal Array?
9.2.2 Taguchi¿s DOE Procedure
9.3 Analysis of Variance (ANOVA)
9.3.1 One-Way ANOVA
9.3.2 Two-Way ANOVA
9.3.3 Three-way ANOVA
9.3.4 Interaction Effects
9.3.5 Two-way ANOVA and Orthogonal Arrays
9.3.6 Signal-to-Noise Ratios
9.4. ANOVA using Excel
9.4.1 Single Factor (One-Way) ANOVA
9.4.2 Two-Factor (Two-Way) ANOVA without Replication
9.4.3 Two-Factor (Two-Way) ANOVA with Replication
9.4.4 F-Distribution
9.5 Quality Characteristic (QC)
9.5.1 Overall Evaluation Criterion
9.5.2 Predictive Model
9.6. An Example: Optimization of A Prototype Laser Deposition Process
10.1	Formulation of engineering problems for optimization
10.1.1 Definitions
10.1.2 Problem Formulation
10.2 Optimization using differential calculus
10.3 Optimization using Lagrange¿s Multiplier Method
10.4 Optimization Using Microsoft Excel
10.5	Case Study: Application of Optimization in Fixture Design
10.5.1 Development of a Fixture Generation Methodology
10.5.2 Modeling ¿Deterministic Positioning¿ Using Linear Programming
10.5.3 Modeling ¿Accessibility¿ of a Fixture Determined with Linear Programming
10.5.4 Modeling ¿Clamping Stability¿ of the Workpart in the Fixture
10.5.5 Modeling ¿Positive Clamping Sequence¿ Using Linear Programming
10.5.6 Modeling ¿Positive Fixture Reaction¿ to all Machining Forces
Short Answers to Selected Review Problems
Appendix 1 
Appendix 2
Appendix 3

Library of Congress Subject Headings for this publication:

Rapid prototyping.
Prototypes, Engineering -- Data processing.