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Contents
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  • 1. Ansys SimAI Presentation
    • 1.1. Ansys SimAI Overview
    • 1.2. Platform Presentation & Logic
    • 1.3. Ansys SimAI Workflow
  • 2. Training Data Preparation
    • 2.1. Data Conversion
    • 2.2. Input Files and Formats
    • 2.3. Guidelines to Preparing your Data
      • 2.3.1. Training Data Selection Best Practices
      • 2.3.2. Data Preparation Best Practices
      • 2.3.3. Simulation Data Sanity Checks and Requirements
      • 2.3.4. Surface files: Data Location and Normals
  • 3. Model Building
    • 3.1. Adding Data
    • 3.2. Creating a Project and Adding Data
    • 3.3. Configuring and Building a New Model
    • 3.4. Building on Top of Previous Model
    • 3.5. Model Configuration Settings
  • 4. Prediction
    • 4.1. Geometries
    • 4.2. Running a Prediction
    • 4.3. Postprocessings
      • 4.3.1. Confidence Score
      • 4.3.2. Global Coefficients
      • 4.3.3. Volume Postprocessing
      • 4.3.4. Surface Postprocessing
  • 5. Analysis
    • 5.1. Model Evaluation Report
    • 5.2. Model Evaluation Report Metrics
  • 6. FAQ and Troubleshooting
    • 6.1. FAQ
    • 6.2. Troubleshooting issues
      • 6.2.1. Identifying and Correcting Problematic Normals
  • 7. Appendix: Technology