3D Manufacturing Feature Dataset in STL and STEP Format
Author(s)
Vatandoust, Farzad
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Abstract
This dataset contains 3D models of individual manufacturing features in both STL and STEP formats. Each model represents a single feature and is intended for use in manufacturing feature recognition and classification research. The dataset includes 24 distinct feature classes, with 1,000 models per class. By providing both STL and STEP representations, this dataset enables comparative studies between boundary representation and voxel-based classification methods.
Sponsor
This work was funded by the National Science Foundation Future Manufacturing Research Grant No. #2229260.
Date
2025-01-27
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