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Journal Articles

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Xinyao Zhang, Kareem Eltouny, Xiao Liang, Sara Behdad
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2023, 145(3): 031008.
Paper No: MANU-22-1400
DOI: https://doi.org/10.1115/1.4056074
Published Online: December 2, 2022
View Article titled, Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly
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Topics: Algorithms, Robotics, Screws, Electronics
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
Paper No: DETC2022-89967
DOI: 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
Article Type: Research Papers
J. Mech. Des. February 2023, 145(2): 022001.
Paper No: MD-22-1495
DOI: 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

Electric Vehicle Battery End-Of-Use Recovery Management: Degradation Prediction and Decision Making

Yixin Zhao, Sara Behdad
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T03A006, June 27–July 1, 2022
Paper No: MSEC2022-85536
DOI: https://doi.org/10.1115/MSEC2022-85536
View Paper titled, Electric Vehicle Battery End-Of-Use Recovery Management: Degradation Prediction and Decision Making
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Topics: Active materials, Batteries, Decision making, Economics , Electric vehicle batteries, Electric vehicles, Electrodes, Lithium-ion batteries, Maintenance, NASA
Proceedings Papers

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Xinyao Zhang, Kareem Eltouny, Xiao Liang, Sara Behdad
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T03A005, June 27–July 1, 2022
Paper No: MSEC2022-85403
DOI: https://doi.org/10.1115/MSEC2022-85403
View Paper titled, Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly
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Topics: Robotics, Screws
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
Paper No: MSEC2022-85383
DOI: 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
Journal Articles

A Graph Partitioning Technique to Optimize the Physical Integration of Functional Requirements for Axiomatic Design

Emilyn Green, Spenser Estrada, Praveen Kumare Gopalakrishnan, Sogol Jahanbekam, Sara Behdad
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. May 2022, 144(5): 051402.
Paper No: MD-21-1206
DOI: https://doi.org/10.1115/1.4052702
Published Online: December 6, 2021
View Article titled, A Graph Partitioning Technique to Optimize the Physical Integration of Functional Requirements for Axiomatic Design
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Topics: Algorithms, Design
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
Paper No: DETC2021-71403
DOI: 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
Paper No: DETC2021-71333
DOI: 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
Proceedings Papers

Electric Vehicle Battery Simulation: How Electrode Porosity and Thickness Impact Cost and Performance

Yixin Zhao, Sara Behdad
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A015, August 17–19, 2021
Paper No: DETC2021-71511
DOI: https://doi.org/10.1115/DETC2021-71511
View Paper titled, Electric Vehicle Battery Simulation: How Electrode Porosity and Thickness Impact Cost and Performance
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Topics: Electric vehicle batteries, Electric vehicles, Electrodes, Lithium-ion batteries, Porosity, Simulation
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
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2022, 144(3): 031005.
Paper No: MANU-21-1308
DOI: 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
Paper No: MSEC2021-63966
DOI: 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
Proceedings Papers

A Blockchain-Based Traceability System for Waste Management in Smart Cities

Praveen Kumare Gopalakrishnan, John Hall, Sara Behdad
Proc. ASME. IDETC-CIE2020, Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC), V006T06A015, August 17–19, 2020
Paper No: DETC2020-22553
DOI: https://doi.org/10.1115/DETC2020-22553
View Paper titled, A Blockchain-Based Traceability System for Waste Management in Smart Cities
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Topics: Blockchain technology, Smart cities, Waste management
Proceedings Papers

Design for Flexibility: A Graph Coloring Technique to Study Design Changes in the Tethered Economy World

Spenser Estrada, Emilyn Green, Sogol Jahanbekam, Sara Behdad
Proc. ASME. IDETC-CIE2020, Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC), V006T06A025, August 17–19, 2020
Paper No: DETC2020-22559
DOI: https://doi.org/10.1115/DETC2020-22559
View Paper titled, Design for Flexibility: A Graph Coloring Technique to Study Design Changes in the Tethered Economy World
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Topics: Design, Economics , Experimental design, Computer software, Construction
Proceedings Papers

A Real-Time Receding Horizon Sequence Planner for Disassembly in a Human-Robot Collaboration Setting

Meng-Lun Lee, Sara Behdad, Xiao Liang, Minghui Zheng
Proc. ASME. ISFA2020, 2020 International Symposium on Flexible Automation, V001T04A004, July 8–9, 2020
Paper No: ISFA2020-9657
DOI: https://doi.org/10.1115/ISFA2020-9657
View Paper titled, A Real-Time Receding Horizon Sequence Planner for Disassembly in a Human-Robot Collaboration Setting
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Topics: Collaboration, Robots, Safety, Uncertainty, Damage, Shapes
Proceedings Papers

An Optimal Quantity of Scheduling Model for Mass Customization-Based Additive Manufacturing

Yosep Oh, Sara Behdad
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A037, August 18–21, 2019
Paper No: DETC2019-97913
DOI: https://doi.org/10.1115/DETC2019-97913
View Paper titled, An Optimal Quantity of Scheduling Model for Mass Customization-Based Additive Manufacturing
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Topics: Additive manufacturing, Production planning
Proceedings Papers

A Blockchain Platform for Protecting Intellectual Property: Implications for Additive Manufacturing

Behzad Esmaeilian, Angshuman Deka, Sara Behdad
Proc. ASME. IDETC-CIE2019, Volume 4: 24th Design for Manufacturing and the Life Cycle Conference; 13th International Conference on Micro- and Nanosystems, V004T05A011, August 18–21, 2019
Paper No: DETC2019-98293
DOI: https://doi.org/10.1115/DETC2019-98293
View Paper titled, A Blockchain Platform for Protecting Intellectual Property: Implications for Additive Manufacturing
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Topics: Additive manufacturing, Blockchain technology, Design, Intellectual property
Proceedings Papers

A Graph Coloring Technique for Identifying the Minimum Number of Parts for Physical Integration in Product Design

Praveen Kumare Gopalakrishnan, Jeffery Cavallaro, Sogol Jahanbekam, Sara Behdad
Proc. ASME. IDETC-CIE2019, Volume 4: 24th Design for Manufacturing and the Life Cycle Conference; 13th International Conference on Micro- and Nanosystems, V004T05A004, August 18–21, 2019
Paper No: DETC2019-98251
DOI: https://doi.org/10.1115/DETC2019-98251
View Paper titled, A Graph Coloring Technique for Identifying the Minimum Number of Parts for Physical Integration in Product Design
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Topics: Algorithms, Product design
Proceedings Papers

A Conceptual Framework for Using Videogrammetry in Blockchain Platforms for Food Supply Chain Traceability

Praveen Kumare Gopalakrishnan, Sara Behdad
Proc. ASME. IDETC-CIE2019, Volume 4: 24th Design for Manufacturing and the Life Cycle Conference; 13th International Conference on Micro- and Nanosystems, V004T05A024, August 18–21, 2019
Paper No: DETC2019-97527
DOI: https://doi.org/10.1115/DETC2019-97527
View Paper titled, A Conceptual Framework for Using Videogrammetry in Blockchain Platforms for Food Supply Chain Traceability
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Topics: Blockchain technology, Food products, Supply chains
Journal Articles

Special Issue: Sustainable Life Cycle Engineering

Dr. Sara Behdad, Dr.William Z. Bernstein, Dr. Karl Haapala
Journal: Journal of Manufacturing Science and Engineering
Article Type: Guest Editorial
J. Manuf. Sci. Eng. February 2019, 141(2): 020301.
Paper No: MANU-18-1808
DOI: https://doi.org/10.1115/1.4042187
Published Online: December 24, 2018
View Article titled, Special Issue: Sustainable Life Cycle Engineering
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Topics: Cycles, Sustainability, Manufacturing