課程概述
Ansys opitSLang入門課程向您介紹了CAE 的靈敏度分析、最佳化分析和強健性的模擬應用。
透過此課程您將了解如何集成模擬流程，並整合模擬資訊來完成設計優化。 通過課程提供的範例，解釋完整的模擬設計優化步驟及各項資訊的解讀方式，提供學員快捷且高效的模擬分析體驗。
必備條件
- 本課程專為對 Ansys optiSLang 幾乎沒有經驗的客戶而設計。
目標客戶
希望在其 CAE 流程中進行流程化或優化分析的工程師。
教學方法
通過課程和電腦上機實作來驗證所獲得的知識。
Ansys optiSLang
Getting Started
Learning Pathway
學習成果
成功完成本課程後，學生將能夠：
模塊 一：Ansys optiSLang 用戶界面和分析軟體集成
Ansys optiSLang 的用戶界面簡介
協助用戶模組化完成軟體的集成工作
完成模擬分析的參數化設置
模塊二：敏感性分析
高效完成what-if分析工作，自動化調查各項參數敏感性
生成高精準度且低複雜度的最佳元模型
提供並推薦各式實驗數據分析模組
模塊三：單目標和多目標優化
優化目標和約束的設置介紹
響應曲面的快速優化
單目標和多目標最佳化設計
Available Dates
Currently, no training dates available
Learning Options
Training materials for this course are available with an Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged.
Self-paced Learning (English Version Available)
Complete a class on your own schedule at your own pace. Scope is equivalent to Instructor led classes. Includes video lecture, workshops and input files. All our Self-Paced video courses are only available with an Ansys Learning Hub subscription.
課程大綱
This is a 1-day classroom course covering both lectures and workshops.
Process integration and Graphical User Interface as the first steps towards a parameter study
- Lecture: Purpose of a Parameter study and kinds of Parameters
- Demonstration: Process integration within Ansys Workbench and via text interface
- Workshop: Setup of a Parametric System for an Analytical Nonlinear Function
Sensitivity Analysis
- Lecture: Design of Experiments
- Lecture: Metamodel of optimal Prognosis
- Demonstration: Usage of the Sensitivity Wizard
- Lecture/ Demonstration: interpretation of a sensitivity analysis
- Workshop: Sensitivity of an Analytical Nonlinear Function
Optimization studies
- Lecture: Optimization algorithms and Deterministic vs. Robust Optimum
- Lecture: Single Objective Optimization
- Demonstration: Usage of the Sensitivity Wizard
- Lecture/ Demonstration: interpretation of a sensitivity analysis
- Workshop: Single Objective Optimization of a Damped Oscillator
- Workshop follows all steps: Process integration, Sensitivity study and optimization
- Lecture: Introduction into multi objective optimization
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