Training "Multidisciplinary Analysis and Optimization"
At the 2 days training course, the basics and methods will be communicated for multidisciplinary analysis and optimization with the software OptiY®. Concurrently, the course contains also practical exercises for challenges of CAD/CAE-engineers in the industry.
Course Content
1. Workflow-Management and Process-Integration
- Define of Design Parameters, Objective Functions and Constraints
- Data-Import and Export
- Integration of extern CAE-Solver und CAD-Program
- Distributed Computing in Network
- Scripting with Visual Basic.NET
2. Methods of Nonlinear Optimization
- Grid-Search
- Hooke-Jeeves
- Evolutionary Algorithms
- Adaptive Response Surface
- Multi-Objective Optimization
3. Design of Experiment (DOE)
- Factorial Design (Full Factorial, Center Composite)
- Sampling Methods (Monte Carlo, Latin Hypercube, Sobol)
- Moment Methods (First und Second Order)
- User Design
4. Global and Nonlinear Sensitivity Analysis
- Meta-Model
- Stochastic Variances
- Sobol Index (Main- and Total-Effect)
- Parameter-Interactions
5. Reliability and Robustness Evaluation
- Random Variables
- Distribution Fitting
- Robustness
- Failure Probability
- Six Sigma Design
6. Robust Design und Tolerance-Cost Optimization
- Taguchi Quality Loss Function
- Tolerance-Cost Model
- Variance-Based Optimization
- Reliability-Based Optimization
- Tolerance-Cost Optimization
7. Meta-Modeling
- Adaptive Design
- Meta- or Surrogate Model
- Export of Meta-Model for System-Simulation
8. Data-Mining
- Data-Import
- Regression
- Sensitivity Analysis
- Stochastic Analysis
- Optimization
- Export of Surrogate Model
9. Fatigue-Life-Prediction
- Stress
- Strain
- Stress-Strain-Hysteresis
- Strain Density Energy
- Failure Probability
Details
Referent:
Dr. The-Quan Pham
Time:
2 Days from 9.00 to 17.00
Place:
Würzburg, Germany
Cost:
1.000,- Euro (excluding VAT)
Discount:
40% for University Members
20% for Registration with multiple Persons
Date: available on request
