21. AutoDesign
- 21.1. Introduction
- 21.2. User Guide for AutoDesign
- 21.2.1. Statement of Optimization
- 21.2.2. Introduction of AutoDesign
- 21.2.3. Tools of AutoDesign
- 21.3. Guideline
- 21.3.1. Introduction
- 21.3.2. Guides for Design Formulation
- 21.3.3. Guides for Design Variables and Constants
- 21.3.4. Guides for Convergence Tolerance
- 21.3.5. Guides for Multi-Objective Optimization
- 21.3.6. Guides for Robust Design and DFSS
- 21.3.7. Guides for the initial Sampling Method
- 21.3.7.1. Relation between the number of sampling points and the optimization results
- 21.3.7.2. Global Optimization Problem
- 21.3.7.3. Non-Feasible region due to the failure of analysis
- 21.3.7.4. Safeguard to overcome the failure of analysis during SAO
- 21.3.7.5. DOE Selection for Meta-Model
- 21.3.7.6. Meta-Model Selection
- 21.3.8. Guides for Design Study
- 21.3.9. Guides for Reliability Analysis
- 21.3.1. Introduction
- 21.4. Basic Theory
- 21.4.1. Background
- 21.4.2. Overview of AutoDesign
- 21.4.3. Design of Experiments
- 21.4.3.1. Effect Analysis
- 21.4.3.2. Resolution of Experimental Designs
- 21.4.3.3. Response Surface Method
- 21.4.3.4. Full Factorial Design
- 21.4.3.5. Plackett and Burman Design
- 21.4.3.6. Three-Level Orthogonal Design
- 21.4.3.7. Central Composite Design (CCD)
- 21.4.3.8. Box and Behnken Design (BBD)
- 21.4.3.9. Small Composite Design (SCD)
- 21.4.3.10. Discrete Latin Hypercube Design
- 21.4.3.11. Level Balanced Descriptive Design
- 21.4.3.12. Two-Level Orthogonal Design
- 21.4.3.13. Bose’s Orthogonal Design
- 21.4.4. Metamodels
- 21.4.5. Numerical Optimization Algorithm
- 21.4.6. Reliability Analysis
- 21.4.7. Probability Distributions
- 21.4.1. Background
- 21.5. QUICK GUIDE