MSEC2020-8392 High Precision Tracking of Roll-to-Roll Manufacturing Processes

MSEC2020-8392 High Precision Tracking of Roll-to-Roll Manufacturing Processes

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Veröffentlicht in:ASME International Manufacturing Science and Engineering Conference (15. : 2020 : Online) Proceedings of the ASME 15th International Manufacturing Science and Engineering Conference - 2020 ; Volume 2: Manufacturing processes - manufacturing systems - nano/micro/meso manufacturing - quality and reliability
1. Verfasser: Chen, Zhiyi (VerfasserIn)
Weitere Verfasser: Jiang, Baoyang (VerfasserIn), Ni, Jun (VerfasserIn)
Pages:15
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
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MSEC2020-8357 Friction Stir Forward Extrusion: Small Scale Tooling Development and Preliminary Test Results 2020 Emblom, William J.
MSEC2020-8417 Investigation of Circuit Parameters in Tube Electrode High-Speed Electrochemical Discharge Machining 2020 Zhang, Yan
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MSEC2020-8310 Hexamethylenetetramine Levels Effect Over the Young's Modulus in Abrasive Materials 2020 Amaral, Emanuelle Machado
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MSEC2020-8465 Polymeric Reaction Molding of Biocompatible Materials: Lessons Learned 2020 Kosnik, Sabrina
MSEC2020-8380 Design Framework for Preparing Workforce Towards Industry 4.0 Implementation in Small and Medium-Sized Enterprises 2020 James, Sagil
MSEC2020-8472 Autonomous Manufacturing Using Machine Learning: A Computational Case Study With a Limited Manufacturing Budget 2020 Alam, Ferdous
MSEC2020-8402 Human-Robot Collaboration in Smart Manufacturing: Robot Reactive Behavior Intelligence 2020 Nicora, Matteo Lavit
MSEC2020-8238 A Stochastic Optimization Model for a Joint Pricing and Resource Allocation Problem 2020 Meng, Qiunan
MSEC2020-8353 Human Point Cloud Inpainting for Industrial Human-Robot Collaboration Using Deep Generative Model 2020 Wang, Le
MSEC2020-8427 Safety Strategy in the Smart Manufacturing System: A Human Robot Collaboration Case Study 2020 Wang, Xi Vincent
MSEC2020-8360 Fault Diagnosis of Timed Event Systems: An Exploration of Machine Learning Methods 2020 Cohen, Joseph
MSEC2020-8468 Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser- Based Additive Manufacturing 2020 Tian, Qi
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