Training content:
Day 1. Introduction to Optislang software.
Introduce the features, advantages and significance of the software in detail and introduce the functions of the software.
Solve flow integration.
Parameter definitions. Solver integration.
Post-processing. Example: Hook optimization.
Explain in detail the graphical interface of the software that opens the software separately, the module integrated with the solver, and the application of the two solution process methods, so that customers can quickly grasp the operation characteristics and applications of the two methods.
With case demonstrations and hands-on operations, students can master relevant technologies and methods.
The next day. Parameter sensitivity analysis.
Sample generation strategy.
Sensitivity indicators.
Response surfaces vs. MOPs
Case in point: Optimization of ventilation systems in a laboratory.
The advantages of parameter sensitivity analysis and the role of sample point generation strategies, sample methods, response surface methods and optimal meta-models are explained in detail, and the application of MOP post-processing tools.
With case demonstrations and hands-on operations, students can master relevant technologies and methods.
Day 3. Multidisciplinary optimization.
Single-objective optimization.
Multi-objective optimization.
Case 1: Axial fan optimization case.
Case 2: Water pump optimization case.
This paper introduces the setup and optimization process of single-objective optimization and multi-objective optimization, and explains the classification of each optimization algorithm, the setting description and post-processing of each algorithm in detail.