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Proceedings Papers

A 3D Convolutional Neural Networks-Based Model for High-Resolution Prediction and Compensation of Geometrical Errors of Additive Manufactured Parts

Benjamin Standfield, Zhenyu (James) Kong

Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A022, June 12–16, 2023

Publisher: American Society of Mechanical Engineers

Paper No: MSEC2023-105015

https://doi.org/10.1115/MSEC2023-105015

View Paper titled, A 3D Convolutional Neural Networks-Based Model for High-Resolution Prediction and Compensation of Geometrical Errors of Additive Manufactured Parts

Topics: Additive manufacturing, Errors, Resolution (Optics)

Journal Articles

MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud

Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu (James) Kong, Xiaowei Yue

Publisher: ASME

J. Manuf. Sci. Eng. March 2023, 145(3): 031004.

Paper No: MANU-21-1430

https://doi.org/10.1115/1.4056005

Published Online: December 2, 2022

View Article titled, MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud

Topics: Artificial neural networks, Flaw detection

Journal Articles

Fault Diagnosis in Multistation Assembly Systems Using Spatially Correlated Bayesian Learning Algorithm

Kaveh Bastani, Babak Barazandeh, Zhenyu (James) Kong

Publisher: ASME

J. Manuf. Sci. Eng. March 2018, 140(3): 031003.

Paper No: MANU-17-1238

https://doi.org/10.1115/1.4038184

Published Online: December 21, 2017

View Article titled, Fault Diagnosis in Multistation Assembly Systems Using Spatially Correlated Bayesian Learning Algorithm

Topics: Algorithms, Errors, Fault diagnosis, Manufacturing, Simulation

Proceedings Papers

Assessing the Geometric Integrity of Additive Manufactured Parts From Point Cloud Data Using Spectral Graph Theoretic Sparse Representation-Based Classification

M. Samie Tootooni, Ashley Dsouza, Ryan Donovan, Prahalad K. Rao, Zhenyu (James) Kong, Peter Borgesen

Proc. ASME. MSEC2017, Volume 2: Additive Manufacturing; Materials, V002T01A042, June 4–8, 2017

Publisher: American Society of Mechanical Engineers

Paper No: MSEC2017-2794

https://doi.org/10.1115/MSEC2017-2794

View Paper titled, Assessing the Geometric Integrity of Additive Manufactured Parts From Point Cloud Data Using Spectral Graph Theoretic Sparse Representation-Based Classification

Topics: Additive manufacturing, Lasers, Extruding, Temperature, Eigenvalues, Experimental design, Geometric dimensioning and tolerancing, Geometry, Manufacturing, Modeling

Journal Articles

Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches

M. Samie Tootooni, Ashley Dsouza, Ryan Donovan, Prahalad K. Rao, Zhenyu (James) Kong, Peter Borgesen

Publisher: ASME

J. Manuf. Sci. Eng. September 2017, 139(9): 091005.

Paper No: MANU-17-1073

https://doi.org/10.1115/1.4036641

Published Online: June 22, 2017

View Article titled, Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches

Topics: Additive manufacturing, Design, Eigenvalues, Lasers, Machine learning

Proceedings Papers

Sensor-Based Online Process Fault Detection in Additive Manufacturing

Prahalad K. Rao, Jia (Peter) Liu, David Roberson, Zhenyu (James) Kong

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A010, June 8–12, 2015

Publisher: American Society of Mechanical Engineers

Paper No: MSEC2015-9389

https://doi.org/10.1115/MSEC2015-9389