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Journal Articles

Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing

Rayne Wolf, Liangkui Jiang, Khawlah Alharbi, Pengyu Zhang, Chao Wang, Hantang Qin
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. December 2024, 146(12): 121002.
Paper No: MANU-24-1229
https://doi.org/10.1115/1.4066097
Published Online: September 19, 2024
View Article titled, Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing
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Topics: Electrohydrodynamics, Gravity (Force), Machine learning, Manufacturing, Printing, Flight, Additive manufacturing, Physics, Testing
Journal Articles

In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning

Liangkui Jiang, Rayne Wolf, Khawlah Alharbi, Hantang Qin
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. November 2024, 146(11): 110901.
Paper No: MANU-24-1132
https://doi.org/10.1115/1.4066124
Published Online: September 11, 2024
View Article titled, In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning
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Topics: Electrohydrodynamics, Machine learning, Printing, Image processing
Journal Articles

Special Issue: Physics-Informed Machine Learning for Advanced Manufacturing

Yuebin Guo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Manuf. Sci. Eng. August 2024, 146(8): 080301.
Paper No: MANU-24-1331
https://doi.org/10.1115/1.4065694
Published Online: June 28, 2024
View Article titled, Special Issue: Physics-Informed Machine Learning for Advanced Manufacturing
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Topics: Machine learning, Manufacturing, Physics
Journal Articles

Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics

R. Sharma, Y. B. Guo, M. Raissi, W. Grace Guo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2024, 146(8): 081008.
Paper No: MANU-23-1729
https://doi.org/10.1115/1.4065457
Published Online: May 21, 2024
View Article titled, Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
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Topics: Boundary-value problems, Dynamics (Mechanics), Machine learning, Physics, Temperature, Pressure, Simulation
Journal Articles

Spatial Visual Feedback for Robotic Arc-Welding Enforced by Inductive Machine Learning

Goran D. Putnik, Petar B. Petrovic, Vaibhav Shah
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2024, 146(4): 040902.
Paper No: MANU-23-1463
https://doi.org/10.1115/1.4064156
Published Online: February 28, 2024
View Article titled, Spatial Visual Feedback for Robotic Arc-Welding Enforced by Inductive Machine Learning
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Topics: Arc welding, Feedback, Machine learning, Manufacturing, Robotics, Robots, Welding, String, Simulation, Machinery
Journal Articles

Effect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach

Qiyang Ma, Yuhao Zhong, Zimo Wang, Satish Bukkapatnam
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2024, 146(3): 031003.
Paper No: MANU-23-1293
https://doi.org/10.1115/1.4064039
Published Online: December 4, 2023
View Article titled, Effect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach
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Topics: Composite materials, Cutting, Fibers, Machinability, Machining, Machine learning
Journal Articles

Automated Evaluation and Rating of Product Repairability Using Artificial Intelligence-Based Approaches

Hao-Yu Liao, Behzad Esmaeilian, Sara Behdad
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2024, 146(2): 020901.
Paper No: MANU-23-1413
https://doi.org/10.1115/1.4063561
Published Online: November 1, 2023
View Article titled, Automated Evaluation and Rating of Product Repairability Using Artificial Intelligence-Based Approaches
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Topics: Design, Machine learning, Maintenance, Testing, X-rays, Sustainability, Ablation (Vaporization technology), Durability, Product design
Journal Articles

Machine Learning Tools for Flow-Related Defects Detection in Friction Stir Welding

Danilo Ambrosio, Vincent Wagner, Gilles Dessein, Javier Vivas, Olivier Cahuc
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. October 2023, 145(10): 101005.
Paper No: MANU-22-1700
https://doi.org/10.1115/1.4062457
Published Online: June 7, 2023
View Article titled, Machine Learning Tools for Flow-Related Defects Detection in Friction Stir Welding
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Topics: Friction, Welding, Artificial neural networks, Temperature, Flow (Dynamics), Machine learning, Signals, Welded joints, Torque, Aluminum alloys
Includes: Supplementary data
Journal Articles

Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data

Suyog Ghungrad, Meysam Faegh, Benjamin Gould, Sarah J. Wolff, Azadeh Haghighi
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2023, 145(8): 081007.
Paper No: MANU-22-1551
https://doi.org/10.1115/1.4062237
Published Online: April 19, 2023
View Article titled, Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data
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Topics: Additive manufacturing, Artificial neural networks, Lasers, Machine learning, Physics, Temperature, Testing, Errors, Algorithms
Journal Articles

Identification of Tool Life Stages and Redressing Criterion for Polycrystalline Diamond Micro-Grinding Tools Using a Machine Learning Approach

Ashwani Pratap, Karali Patra, Suhas S. Joshi
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2023, 145(4): 041007.
Paper No: MANU-22-1428
https://doi.org/10.1115/1.4056490
Published Online: January 19, 2023
View Article titled, Identification of Tool Life Stages and Redressing Criterion for Polycrystalline Diamond Micro-Grinding Tools Using a Machine Learning Approach
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Topics: Cutting, Grinding, Machine learning, Support vector machines, Wear, Diamonds, Machining, Algorithms
Journal Articles

Multi-Objective Evolutionary Algorithm With Machine Learning and Local Search for an Energy-Efficient Disassembly Line Balancing Problem in Remanufacturing

Guangdong Tian, Cheng Zhang, Xuesong Zhang, Yixiong Feng, Gang Yuan, Tao Peng, Duc Truong Pham
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051002.
Paper No: MANU-22-1525
https://doi.org/10.1115/1.4056573
Published Online: January 19, 2023
View Article titled, Multi-Objective Evolutionary Algorithm With Machine Learning and Local Search for an Energy-Efficient Disassembly Line Balancing Problem in Remanufacturing
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Topics: Algorithms, Energy efficiency, Optimization, Optimization algorithms, Energy consumption, Evolutionary algorithms, Machine learning
Journal Articles

Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques

Alexandra Schueller, Christopher Saldaña
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. January 2023, 145(1): 011006.
Paper No: MANU-22-1333
https://doi.org/10.1115/1.4055822
Published Online: October 13, 2022
View Article titled, Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques
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Topics: Condition monitoring, Machine learning, Machining, Wear, Signals, Robustness, Stress
Journal Articles

Activity Recognition With Machine Learning in Manual Grinding

Matthias Dörr, Frederik Spoden, Sven Matthiesen, Thomas Gwosch
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Manuf. Sci. Eng. September 2022, 144(9): 094504.
Paper No: MANU-22-1097
https://doi.org/10.1115/1.4054905
Published Online: July 29, 2022
View Article titled, Activity Recognition With Machine Learning in Manual Grinding
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Topics: Data collection, Grinding, Machine learning, Manufacturing, Sensors, Tool grinders
Journal Articles

On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion

Chen Zhang, Lei Xue, Kadri C. Atli, Raymundo Arróyave, Ibrahim Karaman, Alaa Elwany
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2022, 144(9): 091011.
Paper No: MANU-21-1388
https://doi.org/10.1115/1.4054935
Published Online: July 29, 2022
View Article titled, On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion
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Topics: Lasers, Machine learning, Manufacturing, Nickel, Nickel titanium alloys, Titanium, Surface roughness
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

Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

Christian Kubik, Dirk Alexander Molitor, Marco Becker, Peter Groche
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2022, 144(9): 091003.
Paper No: MANU-21-1397
https://doi.org/10.1115/1.4054158
Published Online: April 8, 2022
View Article titled, Knowledge Discovery in Engineering Applications Using Machine Learning Techniques
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Topics: Blanking (Metalworking), Chain, Data acquisition, Data mining, Engineering systems and industry applications, Machine learning, Manufacturing, Manufacturing systems, Modeling, Sensors
Journal Articles

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Joseph Cohen, Baoyang Jiang, Jun Ni
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. July 2022, 144(7): 071006.
Paper No: MANU-21-1315
https://doi.org/10.1115/1.4052762
Published Online: December 8, 2021
View Article titled, Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems
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Topics: Fault diagnosis, Machine learning, Signals, Synchronization, Failure, Manufacturing systems, Programmable controllers, Delays
Journal Articles

Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

Joseph Cohen, Jun Ni
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. June 2022, 144(6): 061008.
Paper No: MANU-21-1317
https://doi.org/10.1115/1.4052761
Published Online: December 3, 2021
View Article titled, Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets
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Topics: Algorithms, Computer-aided engineering, Dimensions, Feature extraction, Machine learning, Principal component analysis, Integrated circuit fabrication, Artificial intelligence
Journal Articles

In-Situ Calibrated Digital Process Twin Models for Resource Efficient Manufacturing

David Adeniji, Julius Schoop
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2022, 144(4): 041008.
Paper No: MANU-21-1321
https://doi.org/10.1115/1.4052131
Published Online: September 27, 2021
View Article titled, In-Situ Calibrated Digital Process Twin Models for Resource Efficient Manufacturing
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Topics: Machining, Manufacturing, Titanium aluminide, Modeling, Physics, Pressure, Product quality, Energy efficiency, Aerospace industry, Turbine blades
Journal Articles

A Study on Using Image-Based Machine Learning Methods to Develop Surrogate Models of Stamp Forming Simulations

Haosu Zhou, Qingfeng Xu, Zhenguo Nie, Nan Li
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2022, 144(2): 021012.
Paper No: MANU-21-1029
https://doi.org/10.1115/1.4051604
Published Online: August 6, 2021
View Article titled, A Study on Using Image-Based Machine Learning Methods to Develop Surrogate Models of Stamp Forming Simulations
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Topics: Design, Engineering simulation, Finite element analysis, Machine learning, Multilayer perceptron, Scalars, Simulation, Interpolation, Metalworking, Simulation results