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Journal Articles

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Nicholas Wu, Brendan Whalen, Ji Ma, Prasanna V. Balachandran
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111001.
Paper No: JCISE-23-1151
https://doi.org/10.1115/1.4063727
Published Online: July 22, 2024
View Article titled, Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation
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Topics: Calibration, Lasers, Porosity, Uncertainty, Modeling, Geometry
Includes: Supplementary data
Journal Articles

Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning

Shuai Ma, Qian Tang, Ying Liu, Qixiang Feng
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031008.
Paper No: JCISE-21-1252
https://doi.org/10.1115/1.4053077
Published Online: December 16, 2021
View Article titled, Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning
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Topics: Elastic moduli, Errors, Machine learning, Mechanical properties, Three-dimensional models, Entropy, Yield strength, Design, Porosity
Journal Articles

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031005.
Paper No: JCISE-21-1266
https://doi.org/10.1115/1.4053078
Published Online: December 10, 2021
View Article titled, Segmentation of Additive Manufacturing Defects Using U-Net
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Topics: Additive manufacturing, Artificial neural networks, Image segmentation, Porosity, Computerized tomography, Shapes, Design
Journal Articles

Measurement Techniques for the Inspection of Porosity Flaws on Machined Surfaces

D. Steiner, R. Katz
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Papers
J. Comput. Inf. Sci. Eng. March 2007, 7(1): 85–94.
https://doi.org/10.1115/1.2424244
Published Online: July 3, 2006
View Article titled, Measurement Techniques for the Inspection of Porosity Flaws on Machined Surfaces
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Topics: Algorithms, Engine cylinders, Inspection, Porosity, Casting, Cutting tools, Machinery, Corners (Structural elements)