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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
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Topics: Human-robot collaboration, Optimization, Uncertainty
Proceedings Papers

Finding Robust Pareto-Optimal Solutions Over Time for Dynamic Disassembly Sequence Planning

Xin Zhang, Yilin Fang, Quan Liu
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A012, June 27–July 1, 2022
Paper No: MSEC2022-85358
DOI: https://doi.org/10.1115/MSEC2022-85358
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Topics: Algorithms, Optimization, Pareto optimization, Uncertainty
Proceedings Papers

Individual-Based Transfer Learning for Dynamic Human-Robot Collaborative Disassembly Line Balancing

Yilin Fang, Xiao Zhang
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A013, June 27–July 1, 2022
Paper No: MSEC2022-85362
DOI: https://doi.org/10.1115/MSEC2022-85362
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Topics: Optimization, Robots, Algorithms, Product quality, Uncertainty, Human-robot collaboration, Optimization algorithms
Proceedings Papers

Sequential Robust Parameter Design With Sample Size Selection

Jaesung Lee, Shiyu Zhou, Junhong Chen
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A024, June 27–July 1, 2022
Paper No: MSEC2022-85690
DOI: https://doi.org/10.1115/MSEC2022-85690
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Topics: Design, Optimization, Engineering systems and industry applications, Uncertainty, Data collection, Graphene, Nanosensors, Transistors
Proceedings Papers

A Study of the Efficacy of Flame Electrical Resistance for Standoff Measurements During the Oxyfuel Cutting Process

Christopher R. Martin, Alexandrina Untaroiu, Kemu Xu, S. M. Mahbobur Rahman
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A008, June 21–25, 2021
Paper No: MSEC2021-63615
DOI: https://doi.org/10.1115/MSEC2021-63615
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Topics: Cutting, Electrical resistance, Flames, Electrons, Measurement uncertainty, Uncertainty
Proceedings Papers

The Environmental Impacts of Metal Powder Bed Additive Manufacturing

Jiankan Liao, Daniel R. Cooper
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T04A003, September 3, 2020
Paper No: MSEC2020-8476
DOI: https://doi.org/10.1115/MSEC2020-8476
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Topics: Additive manufacturing, Binders (Materials), Cathode ray oscilloscopes, Electron beams, Lasers, Melting, Metal powders, Metals, Sintering, Manufacturing
Proceedings Papers

Semiconductor Aspects of the Oxyfuel Cutting Torch Preheat Flame: Part I — Measurements Between Torch and Work

Christopher R. Martin, Teresa Pond, Jacob Tomas, Jenna Schmit, Erikson Miguel, Alex Untaroiu, Kemu Xu
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A011, September 3, 2020
Paper No: MSEC2020-8258
DOI: https://doi.org/10.1115/MSEC2020-8258
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Topics: Cutting, Flames, Semiconductors (Materials), Signals, Currents, Ions, Uncertainty
Proceedings Papers

High Precision Tracking of Roll-to-Roll Manufacturing Processes

Zhiyi Chen, Baoyang Jiang, Jun Ni
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A030, September 3, 2020
Paper No: MSEC2020-8392
DOI: https://doi.org/10.1115/MSEC2020-8392
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Topics: Control equipment, Manufacturing, Predictive control, Quadratic programming, Robustness, Rollers, Simulation, Stability, Tension, Uncertainty
Proceedings Papers

Uniaxial High-Speed Micro-Scale 3D Surface Topographical Measurements Using Fringe Projection

Yi Zheng, Beiwen Li
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A009, September 3, 2020
Paper No: MSEC2020-8303
DOI: https://doi.org/10.1115/MSEC2020-8303
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Topics: Additive manufacturing, Coordinate measuring machines, Corrective actions, Damage, Geometry, Hinges, Inspection, Lasers, Manufacturing, Metrology
Proceedings Papers

Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data

Zhuo Wang, Chen Jiang, Mark F. Horstemeyer, Zhen Hu, Lei Chen
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A032, September 3, 2020
Paper No: MSEC2020-8379
DOI: https://doi.org/10.1115/MSEC2020-8379
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Topics: Additive manufacturing, Calibration, Modeling, Physics, Uncertainty, Uncertainty quantification
Proceedings Papers

Highly Iterative Planning of Manufacturing Technologies: Evaluation of Manufacturing Technology Capabilities Considering Information Uncertainties

Jan Rey, Timm Grünebaum, Daniel Trauth, Thomas Bergs
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A001, June 10–14, 2019
Paper No: MSEC2019-2706
DOI: https://doi.org/10.1115/MSEC2019-2706
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Topics: Manufacturing technology, Product development, Uncertainty
Proceedings Papers

Real-Time Control of Cyber-Physical Manufacturing Process Under Uncertainty

Saideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A001, June 18–22, 2018
Paper No: MSEC2018-6460
DOI: https://doi.org/10.1115/MSEC2018-6460
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Topics: Manufacturing, Real-time control, Uncertainty, Process control, Product quality, Sensors, Dimensions, Machining, Process monitoring, Sensitivity analysis
Proceedings Papers

Unified Control of Production, Capacity, and Pre-Emptive Maintenance of Fused Filament Fabrication Process

Rakshith Badarinath, Kai-Wen Tien, Vittaldas Prabhu
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A032, June 18–22, 2018
Paper No: MSEC2018-6641
DOI: https://doi.org/10.1115/MSEC2018-6641
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Topics: Industrial capacity, Maintenance, Manufacturing, Decision making, Additive manufacturing, Computer simulation, Control algorithms, Control systems, Differential equations, Dynamics (Mechanics)
Proceedings Papers

Gaussian Process Model for Touch Probing

Xilu Wang, Xiaoping Qian
Proc. ASME. MSEC2018, Volume 2: Materials; Joint MSEC-NAMRC-Manufacturing USA, V002T07A003, June 18–22, 2018
Paper No: MSEC2018-6548
DOI: https://doi.org/10.1115/MSEC2018-6548
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Topics: Algorithms, Coordinate measuring machines, Errors, Machinery, Machining, Uncertainty
Proceedings Papers

Repeatability Assessment and Sensitivity Analysis of Needle Insertion Physical Experiment

Murong Li, Yong Lei
Proc. ASME. MSEC2018, Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing, V001T05A005, June 18–22, 2018
Paper No: MSEC2018-6575
DOI: https://doi.org/10.1115/MSEC2018-6575
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Topics: Needles, Sensitivity analysis, Biological tissues, Deformation, Errors, Experimental design, Hydrogels, Model validation, Parameter estimation, Temperature
Proceedings Papers

Simulation Based On-Line Evaluation of Singulation Plans to Handle Perception Uncertainty in Robotic Bin Picking

Nithyananda B. Kumbla, Shantanu Thakar, Krishnanand N. Kaipa, Jeremy Marvel, Satyandra K. Gupta
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A002, June 4–8, 2017
Paper No: MSEC2017-2955
DOI: https://doi.org/10.1115/MSEC2017-2955
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Topics: Robotics, Simulation, Uncertainty, Probability
Proceedings Papers

Order Dataset Release Scheme Based on Safe K-Anonymization for Privacy Protection in Cloud Manufacturing

Hui Xiu, Xuemei Jiang, Xiaomei Zhang
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A031, June 4–8, 2017
Paper No: MSEC2017-2720
DOI: https://doi.org/10.1115/MSEC2017-2720
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Topics: Manufacturing, Data mining, Leakage, Risk, Uncertainty
Proceedings Papers

Cradle-to-Grave Life Cycle Assessment of Solid-State Perovskite Solar Cells

Jingyi Zhang, Xianfeng Gao, Yelin Deng, Yuanchun Zha, Chris Yuan
Proc. ASME. MSEC2017, Volume 4: Bio and Sustainable Manufacturing, V004T05A021, June 4–8, 2017
Paper No: MSEC2017-2970
DOI: https://doi.org/10.1115/MSEC2017-2970
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Topics: Life cycle assessment, Solar cells, Manufacturing, Cycles, Industrial research, Recycling, Renewable energy, Sustainable development, Uncertainty
Proceedings Papers

Identifying Uncertainty in Laser Powder Bed Fusion Models

Felipe Lopez, Paul Witherell, Brandon Lane
Proc. ASME. MSEC2016, Volume 3: Joint MSEC-NAMRC Symposia, V003T08A005, June 27–July 1, 2016
Paper No: MSEC2016-8692
DOI: https://doi.org/10.1115/MSEC2016-8692
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Topics: Lasers, Uncertainty, Simulation, Accuracy and precision, Additive manufacturing, Algorithms, Approximation, Calibration, Errors, Modeling
Proceedings Papers

Agent Based Simulation Optimization of Waste Electrical and Electronics Equipment Recovery

Ardeshir Raihanian Mashhadi, Sara Behdad, Jun Zhuang
Proc. ASME. MSEC2016, Volume 3: Joint MSEC-NAMRC Symposia, V003T08A017, June 27–July 1, 2016
Paper No: MSEC2016-8639
DOI: https://doi.org/10.1115/MSEC2016-8639
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Topics: Electronics, Optimization, Simulation, Cycles, Uncertainty, Data collection, Electronic products, Profitability