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Proceedings Papers

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

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
Paper No: MSEC2022-85638
DOI: https://doi.org/10.1115/MSEC2022-85638
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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

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
Paper No: MSEC2019-2966
DOI: https://doi.org/10.1115/MSEC2019-2966
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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

Juan Du, Xi Zhang
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A029, June 27–July 1, 2016
Paper No: MSEC2016-8757
DOI: https://doi.org/10.1115/MSEC2016-8757
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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

Ardeshir Raihanian Mashhadi, Behzad Esmaeilian, Sara Behdad
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A064, June 8–12, 2015
Paper No: MSEC2015-9392
DOI: https://doi.org/10.1115/MSEC2015-9392
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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

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
Paper No: MSEC2014-3990
DOI: https://doi.org/10.1115/MSEC2014-3990
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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

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
Paper No: MSEC_ICM&P2008-72110
DOI: https://doi.org/10.1115/MSEC_ICMP2008-72110
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Topics: Mechanical properties, Pipelines, Steel, Welding, Artificial neural networks, Elongation, Errors, Fracture toughness, Metallic elements, Momentum