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Proceedings Papers

Deep Learning-Based Recognition of Manufacturing Components Using Augmented Reality for Worker Training of Assembly Tasks

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Sourabh Deshpande, Manish Raj Aryal, Sam Anand
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T07A007, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125279
https://doi.org/10.1115/MSEC2024-125279
View Paper titled, Deep Learning-Based Recognition of Manufacturing Components Using Augmented Reality for Worker Training of Assembly Tasks
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Topics: Augmented reality, Deep learning, Manufacturing, Engines, Artificial neural networks, Computer-aided design, Computers, Additive manufacturing, Algorithms, Artificial intelligence
Proceedings Papers

Novel STL-Free Design Paradigm for High-Resolution Multi-Scale Architected Cellular Materials in Additive Manufacturing

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Sina Rastegarzadeh, Jida Huang
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A021, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104984
https://doi.org/10.1115/MSEC2023-104984
View Paper titled, Novel STL-Free Design Paradigm for High-Resolution Multi-Scale Architected Cellular Materials in Additive Manufacturing
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Topics: Additive manufacturing, Design, Resolution (Optics), Computer-aided design, Manufacturing, Algorithms, Architecture, Composite materials, Geometry, Microscale devices
Proceedings Papers

Surface Morphology of API 5L X65 Pipeline Steel Processed by Ultrasonic Impact Peening

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M. Merajul Haque, Li-Hsin Yeh, Xing Zhang, Beiwen Li, Yiliang Liao
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A012, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104528
https://doi.org/10.1115/MSEC2023-104528
View Paper titled, Surface Morphology of API 5L X65 Pipeline Steel Processed by Ultrasonic Impact Peening
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Topics: American Petroleum Institute, Pipelines, Shot peening, Steel, surface morphology
Proceedings Papers

Thin-Film Nitrate Sensor Performance Prediction Based on Image Analysis and Credibility Data to Enable a Certify As Built Framework

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Xihui Wang, Ajanta Saha, Ye Mi, Ali Shakouri, Muhammad Ashraful Alam, George T. C. Chiu, Jan P. Allebach
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A021, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85638
https://doi.org/10.1115/MSEC2022-85638
View Paper titled, Thin-Film Nitrate Sensor Performance Prediction Based on Image Analysis and Credibility Data to Enable a Certify As Built Framework
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Topics: Sensors, Thin films, Machine learning, Testing, Data collection, Errors, Manufacturing, Membranes, Noise (Sound), Pipelines
Proceedings Papers

A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System

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Zixuan Yang, Huaiyuan Teng, Jeremy Goldhawk, Ilya Kovalenko, Efe C. Balta, Felipe Lopez, Dawn Tilbury, Kira Barton
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A024, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2966
https://doi.org/10.1115/MSEC2019-2966
View Paper titled, A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System
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Topics: Manufacturing systems, Quality control, Computers, Computer-aided design, Metrology, Pipelines, Control equipment, Dimensional metrology, Dimensions, Algorithms
Proceedings Papers

A Critical Change Point Detection Method in Threaded Steel Pipe Connection Processes Using Two Stage Sequential Piecewise Linear Approach

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Juan Du, Xi Zhang
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A029, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8757
https://doi.org/10.1115/MSEC2016-8757
View Paper titled, A Critical Change Point Detection Method in Threaded Steel Pipe Connection Processes Using Two Stage Sequential Piecewise Linear Approach
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Topics: Pipes, Steel, Regression models, Signals, Torque, Leakage, Machinery, Measurement systems, Modeling, Noise (Sound)
Proceedings Papers

Impact of Additive Manufacturing Adoption on Future of Supply Chains

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Ardeshir Raihanian Mashhadi, Behzad Esmaeilian, Sara Behdad
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A064, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9392
https://doi.org/10.1115/MSEC2015-9392
View Paper titled, Impact of Additive Manufacturing Adoption on Future of Supply Chains
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Topics: Additive manufacturing, Supply chains, Design, Manufacturing, Simulation, Logistics, Manufacturing industry, Pipelines, Product design, Separation (Technology)
Proceedings Papers

Superoleophobic Surfaces on Al and Mg Alloy Substrates Through Rapid Surface Micro/Nanometer-Scale Structuring

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Jinlong Song, Shuai Huang, Xin Liu, Wenji Xu
Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T03A007, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-3990
https://doi.org/10.1115/MSEC2014-3990
View Paper titled, Superoleophobic Surfaces on Al and Mg Alloy Substrates Through Rapid Surface Micro/Nanometer-Scale Structuring
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Topics: Magnesium alloys, Nanoscale phenomena, Plates (structures), Surface roughness, Manufacturing, Petroleum, Pipelines, Tension, Water
Proceedings Papers

The Influence of the Chemical Composition of Welding Material Used in Semi-Automatic Welding for Pipeline Steel on Mechanical Properties

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Lu Bai, Lige Tong, Hongsheng Ding, Li Wang, Qilan Kang, Shiwu Bai
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1, 129-132, October 7–10, 2008
Publisher: American Society of Mechanical Engineers
Paper No: MSEC_ICM&P2008-72110
https://doi.org/10.1115/MSEC_ICMP2008-72110
View Paper titled, The Influence of the Chemical Composition of Welding Material Used in Semi-Automatic Welding for Pipeline Steel on Mechanical Properties
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Topics: Mechanical properties, Pipelines, Steel, Welding, Artificial neural networks, Elongation, Errors, Fracture toughness, Metallic elements, Momentum