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Hasnaa Ouidadi
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Proceedings Papers

Support-Structure Decision in 3D Printing With Unsupervised Computer Vision

Shenghan Guo, Hasnaa Ouidadi, Boyang Xu
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T07A001, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-124409
https://doi.org/10.1115/MSEC2024-124409
View Paper titled, Support-Structure Decision in 3D Printing With Unsupervised Computer Vision
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Topics: Additive manufacturing, Computer vision, Computer-aided design
Journal Articles

Three-Dimensional X-Ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts

Boyang Xu, Hasnaa Ouidadi, Nicole Van Handel, Shenghan Guo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2024, 146(9): 091002.
Paper No: MANU-23-1666
https://doi.org/10.1115/1.4065179
Published Online: June 3, 2024
View Article titled, Three-Dimensional X-Ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts
Open the PDF for Three-Dimensional X-Ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts in another window
Topics: Image segmentation, Shapes, Computerized tomography, Lasers
Proceedings Papers

Defect Segmentation From X-Ray Computed Tomography of Laser Powder Bed Fusion Parts: A Comparative Study Among Machine Learning, Deep Learning, and Statistical Image Thresholding Methods

Hasnaa Ouidadi, Boyang Xu, Shenghan Guo
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A012, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104387
https://doi.org/10.1115/MSEC2023-104387
View Paper titled, Defect Segmentation From X-Ray Computed Tomography of Laser Powder Bed Fusion Parts: A Comparative Study Among Machine Learning, Deep Learning, and Statistical Image Thresholding Methods
Open the PDF for Defect Segmentation From X-Ray Computed Tomography of Laser Powder Bed Fusion Parts: A Comparative Study Among Machine Learning, Deep Learning, and Statistical Image Thresholding Methods in another window
Topics: Computerized tomography, Image segmentation, Lasers, Machine learning