AWSD: An Aircraft Wing Dataset Created by an Automatic Workflow for Data Mining in Geometric Processing

This paper introduces an aircraft wing simulation data set (AWSD) created by automatic workflow based on creating models, meshing, simulating the flight flow field solution, and parameterizing solution results. AWSD is a flexible, independent collection of simulations with specific engineering requirements. The applicable to handle computer geometry processing tasks. In contrast existing 3D model set, there are some advantages scale this not limited source, files have high quality, no defects, redundancy, other problems, models all designed for actual demand. Moreover, has characteristics rich information similar structure, which contributes construction surrogate model. On hand, suitable advancing research mining in computational graphics. To solve problem that CFD flows results intuitive, used resampling method surface sample result surface, then segmented re-sampled mesh compared differences among K-means algorithm, Mini-Batch Spectral Clustering algorithm. provides 300 sets meshes, results, parametric ARAP (As-Rigid-As-Possible) Harmonic mapping segmentation, resampling, related geometric