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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

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Topics: Human-robot collaboration, Optimization, Uncertainty

Proceedings Papers

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Xinyao Zhang, Kareem Eltouny, Xiao Liang, Sara Behdad

Paper No: MSEC2022-85403

DOI: https://doi.org/10.1115/MSEC2022-85403

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Topics: Robotics, Screws

Proceedings Papers

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

Yixin Zhao, Sara Behdad

Paper No: MSEC2022-85536

DOI: https://doi.org/10.1115/MSEC2022-85536

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Topics: Active materials, Batteries, Decision making, Economics , Electric vehicle batteries, Electric vehicles, Electrodes, Lithium-ion batteries, Maintenance, NASA

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

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

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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

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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

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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

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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

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

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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

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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

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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

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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

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Topics: Collaboration, Robots, Safety, Uncertainty, Damage, Shapes

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

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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

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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

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Topics: Blockchain technology, Food products, Supply chains

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

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Topics: Additive manufacturing, Production planning

Journal Articles

Special Issue: Sustainable Life Cycle Engineering

Dr. Sara Behdad, Dr.William Z. Bernstein, Dr. Karl Haapala

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

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Topics: Cycles, Sustainability, Manufacturing

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Journal citation

NARROW

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Human Hand Motion Prediction in Disassembly Operations

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

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

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

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

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

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

Machine Learning to Predict Medical Devices Repair and Maintenance Needs

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

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

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

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

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

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

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

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

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

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

Special Issue: Sustainable Life Cycle Engineering

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