Welcome to floGen’s documentation

FlowGen is a universal flowfield generator based on Auto-Encoder (AE) & Variational Auto-Encoder (VAE) and implentmented in Pytorch. It differs from other flowfield generators that it introduce prior learning strategy to enhance the predicting accuracy and transfer learning capability. The FlowGen has been applied to the prediction and optimization tasks such as the transonic buffet and the fluidic injection into the single expansion ramp nozzle (SERN). We also developed a web-based interactive optimization app for transonic wings (Webwing).

Author:

• Yunjia Yang, Tsinghua University, yyj980401@126.com (Main)

• Yuqi Cheng, yc4330@columbia.edu (UI for Webwing)

Contributor (former user):

• Runze Li, lirunze16@tsinghua.org.cn

• Zuwei Tan (Supersonic 2D inlet)

• Gongyan Liu (Temperature field of a data center)

• Jiazhe Li (Supersonic 2D single expansion ramp nozzle)

Contents

Motivations

• Motivations
  • Prior-based multi-design-point prediction
  • Physics-based loss terms
  • Physics-embedded transfer learning

Tutorial

• Guide to the code
  • Installation
  • Dataset establishment
  • Construct the model
  • Training
  • Post process
• Model details
  • Encoder & Decoder
  • Concatenetor
  • Loss terms

This section describe the model.

Datasets

• Datasets for supercritical airfoils
  • A-1. Supercritical Airfoil Flowfield Dataset
  • A-2. Supercritical Airfoil Cp Dataset
  • A-3. Supercritical Airfoil Cp-Cf Dataset
• Datasets for transonic wings
  • Definition of wing geometry
  • B-1. Wings / Kink wings with DPW-W1 profile
  • B-2. Single Segment Wings
  • B-3. Kink Wings

This section presents several flowfield datasets. Most of them are of airfoils and wings. They are available under reasonable requests. Please contact Yunjia Yang (yyj980401@126.com) for the datasets.

Applications

• Buffet onset estimation
  • Collecting the series of aerodynamic coefficients
  • Estimating the buffet onset
• Web-wing - Interactive Transonic Wing Design App
  • Installation
  • User guide
  • How it works

This section provides some applications of the FloGen. You can find the corresponding .py files in examples, and the data files can be obtained by communicating with the author.