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Journal Articles

Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes

Accepted Manuscript
Mahathir Mohammad Bappy, Durant Fullington, Linkan Bian, Wenmeng Tian
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-23-1270
https://doi.org/10.1115/1.4067210
Published Online: November 21, 2024
View Article titled, Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes
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Topics: Additive manufacturing, Convolutional neural networks, Data privacy, Engineering systems and industry applications, Intellectual property, Internet of things, Machine learning, Metals, Modeling, Preservation
Journal Articles

Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition

Christian Zamiela, Ryan Stokes, Wenmeng Tian, Haley Doude, Matthew W. Priddy, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2024, 146(8): 081007.
Paper No: MANU-23-1769
https://doi.org/10.1115/1.4065416
Published Online: May 21, 2024
View Article titled, Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition
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Topics: Deformation, Modeling, Physics, Surface deformation, Approximation, Heat flux, Wire, Heat, Additive manufacturing, Sensors
Journal Articles

Understanding the Effects of Process Conditions on Thermal–Defect Relationship: A Transfer Machine Learning Approach

Ayantha Senanayaka, Wenmeng Tian, T. C. Falls, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. July 2023, 145(7): 071010.
Paper No: MANU-22-1225
https://doi.org/10.1115/1.4057052
Published Online: March 28, 2023
View Article titled, Understanding the Effects of Process Conditions on Thermal–Defect Relationship: A Transfer Machine Learning Approach
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Topics: Additive manufacturing, Porosity
Journal Articles

Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing

Christian Zamiela, Zhipeng Jiang, Ryan Stokes, Zhenhua Tian, Anton Netchaev, Charles Dickerson, Wenmeng Tian, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. June 2023, 145(6): 061009.
Paper No: MANU-22-1240
https://doi.org/10.1115/1.4056873
Published Online: March 14, 2023
View Article titled, Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing
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Topics: Porosity, Sensors, Metals, Additive manufacturing, Manufacturing, Pyrometers, Image segmentation
Journal Articles

Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes

Durant Fullington, Linkan Bian, Wenmeng Tian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051004.
Paper No: MANU-22-1369
https://doi.org/10.1115/1.4056488
Published Online: January 19, 2023
View Article titled, Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
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Topics: Additive manufacturing, Algorithms, Data privacy, Design, Modeling, Printing, Preservation, Metals, Manufacturing, Testing
Journal Articles

Morphological Dynamics-Based Anomaly Detection Towards In Situ Layer-Wise Certification for Directed Energy Deposition Processes

Mahathir Mohammad Bappy, Chenang Liu, Linkan Bian, Wenmeng Tian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. November 2022, 144(11): 111007.
Paper No: MANU-22-1117
https://doi.org/10.1115/1.4054805
Published Online: July 26, 2022
View Article titled, Morphological Dynamics-Based Anomaly Detection Towards In Situ Layer-Wise Certification for Directed Energy Deposition Processes
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Topics: Additive manufacturing, Dynamics (Mechanics), Heat, Machine learning, Manufacturing, Temperature, Thin wall structures, Inspection, Modeling, Process monitoring
Journal Articles

Fast Prediction of Thermal Data Stream for Direct Laser Deposition Processes Using Network-Based Tensor Regression

Mojtaba Khanzadeh, Matthew Dantin, Wenmeng Tian, Matthew W. Priddy, Haley Doude, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2022, 144(4): 041004.
Paper No: MANU-20-1523
https://doi.org/10.1115/1.4052207
Published Online: September 23, 2021
View Article titled, Fast Prediction of Thermal Data Stream for Direct Laser Deposition Processes Using Network-Based Tensor Regression
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Topics: Modeling, Physics, Tensors, Simulation
Proceedings Papers

Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser-Based Additive Manufacturing

Qi Tian, Shenghan Guo, Weihong Guo, Linkan Bian
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A032, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8468
https://doi.org/10.1115/MSEC2020-8468
View Paper titled, Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser-Based Additive Manufacturing
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Topics: Additive manufacturing, Data fusion, Lasers, Porosity
Journal Articles

Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing

Qi Tian, Shenghan Guo, Erika Melder, Linkan Bian, Weihong “Grace” Guo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2021, 143(4): 041011.
Paper No: MANU-20-1337
https://doi.org/10.1115/1.4048957
Published Online: December 17, 2020
View Article titled, Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing
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Topics: Data fusion, Porosity, Pyrometers, Lasers, Additive manufacturing
Journal Articles

Efficient Distortion Prediction of Additively Manufactured Parts Using Bayesian Model Transfer Between Material Systems

Jack Francis, Arman Sabbaghi, M. Ravi Shankar, Morteza Ghasri-Khouzani, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2020, 142(5): 051001.
Paper No: MANU-19-1412
https://doi.org/10.1115/1.4046408
Published Online: March 13, 2020
View Article titled, Efficient Distortion Prediction of Additively Manufactured Parts Using Bayesian Model Transfer Between Material Systems
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Topics: Additive manufacturing, Disks, Lasers, Modeling, Stainless steel, Alloys
Includes: Supplementary data
Proceedings Papers

In- Situ Fatigue Prediction of Direct Laser Deposition Parts Based on Thermal Profile

Seyyed Hadi Seifi, Wenmeng Tian, Aref Yadollahi, Haley Doude, Linkan Bian
Proc. ASME. IMECE2019, Volume 2B: Advanced Manufacturing, V02BT02A037, November 11–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2019-10323
https://doi.org/10.1115/IMECE2019-10323
View Paper titled, In- Situ Fatigue Prediction of Direct Laser Deposition Parts Based on Thermal Profile
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Topics: Additive manufacturing, Fatigue, Lasers
Journal Articles

Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing

Seyyed Hadi Seifi, Wenmeng Tian, Haley Doude, Mark A. Tschopp, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. August 2019, 141(8): 081013.
Paper No: MANU-18-1582
https://doi.org/10.1115/1.4043898
Published Online: June 21, 2019
View Article titled, Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing
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Topics: Additive manufacturing, Dynamic light scattering, Hull, Lasers, Manufacturing, Modeling, Porosity, Tensors, Pyrometers, Principal component analysis
Journal Articles

Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts

Mojtaba Khanzadeh, Prahalada Rao, Ruholla Jafari-Marandi, Brian K. Smith, Mark A. Tschopp, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. March 2018, 140(3): 031011.
Paper No: MANU-17-1366
https://doi.org/10.1115/1.4038598
Published Online: December 21, 2017
View Article titled, Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts
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Topics: Additive manufacturing, Lasers, Machine learning, Manufacturing, Modeling, Self-organization, Shapes, Temperature
Journal Articles

Multi-Objective Accelerated Process Optimization of Part Geometric Accuracy in Additive Manufacturing

Amir M. Aboutaleb, Mark A. Tschopp, Prahalad K. Rao, Linkan Bian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. October 2017, 139(10): 101001.
Paper No: MANU-16-1656
https://doi.org/10.1115/1.4037319
Published Online: August 24, 2017
View Article titled, Multi-Objective Accelerated Process Optimization of Part Geometric Accuracy in Additive Manufacturing
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Topics: Design, Optimization, Pareto optimization, Additive manufacturing
Proceedings Papers

Accelerated Geometry Accuracy Optimization of Additive Manufacturing Parts

Amir M. Aboutaleb, Linkan Bian, Prahalad K. Rao, Mark A. Tschopp
Proc. ASME. MSEC2017, Volume 2: Additive Manufacturing; Materials, V002T01A043, June 4–8, 2017
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2017-2892
https://doi.org/10.1115/MSEC2017-2892
View Paper titled, Accelerated Geometry Accuracy Optimization of Additive Manufacturing Parts
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Topics: Additive manufacturing, Geometry, Optimization, Cutting, Geometric dimensioning and tolerancing, Manufacturing, Mechanical properties, Pareto optimization, Principal component analysis, Simulation
Proceedings Papers

A Methodology for Predicting Porosity From Thermal Imaging of Melt Pools in Additive Manufacturing Thin Wall Sections

Mojtaba Khanzadeh, Sudipta Chowdhury, Linkan Bian, Mark A. Tschopp
Proc. ASME. MSEC2017, Volume 2: Additive Manufacturing; Materials, V002T01A044, June 4–8, 2017
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2017-2909
https://doi.org/10.1115/MSEC2017-2909
View Paper titled, A Methodology for Predicting Porosity From Thermal Imaging of Melt Pools in Additive Manufacturing Thin Wall Sections
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Topics: Additive manufacturing, Imaging, Porosity, Thin wall structures, Lasers, Mechanical properties, Self-organization, Temperature distribution, X-rays
Proceedings Papers

Modeling, Simulation and Experimental Validation of Heat Transfer During Selective Laser Melting

Mohammad Masoomi, Xiang Gao, Scott M. Thompson, Nima Shamsaei, Linkan Bian, Alaa Elwany
Proc. ASME. IMECE2015, Volume 2A: Advanced Manufacturing, V02AT02A007, November 13–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2015-52165
https://doi.org/10.1115/IMECE2015-52165
View Paper titled, Modeling, Simulation and Experimental Validation of Heat Transfer During Selective Laser Melting
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Topics: Heat transfer, Lasers, Melting, Modeling, Simulation, Manufacturing, Mechanical properties, Temperature gradient, Additive manufacturing, Construction
Proceedings Papers

Mechanical and Microstructural Properties of Selective Laser Melted 17-4 PH Stainless Steel

Aref Yadollahi, Nima Shamsaei, Scott M. Thompson, Alaa Elwany, Linkan Bian
Proc. ASME. IMECE2015, Volume 2A: Advanced Manufacturing, V02AT02A014, November 13–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2015-52362
https://doi.org/10.1115/IMECE2015-52362
View Paper titled, Mechanical and Microstructural Properties of Selective Laser Melted 17-4 PH Stainless Steel
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Topics: Lasers, Stainless steel, Annealing, Elongation, Failure, Heat treating (Metalworking), Manufacturing, Mechanical properties, Particulate matter, Precipitation hardening