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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
Proceedings Papers

Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning

Hao-Yu Liao, Yuhao Chen, Boyi Hu, Xiao Liang, Sara Behdad
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T04A007, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104792
https://doi.org/10.1115/MSEC2023-104792
View Paper titled, Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning
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Topics: Artificial neural networks, Electronics, Machine learning, Safety, Collaboration, Computers, Errors, Hazardous substances, Human-robot collaboration, Measurement units and standards
Proceedings Papers

Human Hand Motion Prediction in Disassembly Operations

Hao-yu Liao, Minghui Zheng, Boyi Hu, Sara Behdad
Proc. ASME. IDETC-CIE2022, Volume 5: 27th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A021, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89967
https://doi.org/10.1115/DETC2022-89967
View Paper titled, Human Hand Motion Prediction in Disassembly Operations
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Topics: Computers, Hazardous substances, Human-robot collaboration, Performance, Robotics, Robots, Safety, Trains
Journal Articles

Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human–Robot Collaboration

Hao-yu Liao, Yuhao Chen, Boyi Hu, Sara Behdad
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2023, 145(2): 022001.
Paper No: MD-22-1495
https://doi.org/10.1115/1.4055901
Published Online: November 1, 2022
View Article titled, Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human–Robot Collaboration
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Topics: Human-robot collaboration, Optimization, Robots, Safety, Uncertainty, Sensitivity analysis, Computers
Proceedings Papers

Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human-Robot Collaboration

Hao-yu Liao, Yuhao Chen, Boyi Hu, Sara Behdad
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T03A004, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85383
https://doi.org/10.1115/MSEC2022-85383
View Paper titled, Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human-Robot Collaboration
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Topics: Human-robot collaboration, Optimization, Uncertainty
Proceedings Papers

Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment

Shuaizhou Hu, Xinyao Zhang, Hao-yu Liao, Xiao Liang, Minghui Zheng, Sara Behdad
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A029, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71403
https://doi.org/10.1115/DETC2021-71403
View Paper titled, Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment
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Topics: Electronic equipment, Laptop computers, Machine learning
Proceedings Papers

Machine Learning to Predict Medical Devices Repair and Maintenance Needs

Hao-yu Liao, Karthik Boregowda, Willie Cade, Sara Behdad
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71333
https://doi.org/10.1115/DETC2021-71333
View Paper titled, Machine Learning to Predict Medical Devices Repair and Maintenance Needs
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Topics: Machine learning, Maintenance, Medical devices
Journal Articles

Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine

Hao-yu Liao, Willie Cade, Sara Behdad
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2022, 144(3): 031005.
Paper No: MANU-21-1308
https://doi.org/10.1115/1.4051886
Published Online: August 16, 2021
View Article titled, Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine
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Topics: Failure, Maintenance, Medical devices, Support vector machines
Proceedings Papers

Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine

Hao-yu Liao, Willie Cade, Sara Behdad
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T04A008, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63966
https://doi.org/10.1115/MSEC2021-63966
View Paper titled, Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine
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Topics: Machine learning, Maintenance, Medical devices, Support vector machines