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Proceedings Papers

Polarized Illumination for Optical Monitoring System in Laser Powder Bed Fusion

Song Zhang, Sebastian Enk, Moritz Kolter, Johannes Henrich Schleifenbaum

Proc. ASME. IAM2022, 2022 International Additive Manufacturing Conference, V001T02A010, October 19–20, 2022

Paper No: IAM2022-94437

DOI: https://doi.org/10.1115/IAM2022-94437

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Topics: Lasers, Monitoring systems

Proceedings Papers

Conceptualization and Design of a Low-Cost MTConnect-Enabled Refractometer for Coolant Health Monitoring

Thomas Feldhausen, Asimm Hirani, Walter King, Roby Lynn, Thomas Kurfess

Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A012, June 10–14, 2019

Paper No: MSEC2019-2755

DOI: https://doi.org/10.1115/MSEC2019-2755

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Topics: Coolants, Design, Machinery, Refractive index, Internet of things, Monitoring systems, Data acquisition, Machining, Manufacturing, Production facilities

Proceedings Papers

Audio-Based Condition Monitoring in Milling of the Workpiece Material With the Hardness Variation Using Support Vector Machines and Convolutional Neural Networks

Achyuth Kothuru, Sai Prasad Nooka, Rui Liu

Proc. ASME. MSEC2018, Volume 4: Processes, V004T03A072, June 18–22, 2018

Paper No: MSEC2018-6680

DOI: https://doi.org/10.1115/MSEC2018-6680

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Topics: Artificial neural networks, Condition monitoring, Milling, Support vector machines, Wear, Machining, Cutting tools, Monitoring systems, Signals

Proceedings Papers

Rapidly Deployable MTConnect-Based Machine Tool Monitoring Systems

Roby Lynn, Wafa Louhichi, Mahmoud Parto, Ethan Wescoat, Thomas Kurfess

Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A046, June 4–8, 2017

Paper No: MSEC2017-3012

DOI: https://doi.org/10.1115/MSEC2017-3012

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Topics: Machine tools, Monitoring systems, Data collection, Machining, Machinery, Manufacturing

Proceedings Papers

Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes

S. Shawn Lee, Chenhui Shao, Tae Hyung Kim, S. Jack Hu, Elijah Kannatey-Asibu, Wayne W. Cai, J. Patrick Spicer, Jeffrey A. Abell

Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A002, June 9–13, 2014

Paper No: MSEC2014-4139

DOI: https://doi.org/10.1115/MSEC2014-4139

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Topics: Metals, Sensors, Signals, Welding, Ultrasonic welding, Manufacturing, Algorithms, Batteries, Density, Displacement

Proceedings Papers

Classifier Fusion for Acoustic Emission Based Tool Wear Monitoring

Juil Yum, Tae Hyung Kim, Elijah Kannatey-Asibu, Jr.

Proc. ASME. MSEC2012, ASME 2012 International Manufacturing Science and Engineering Conference, 805-812, June 4–8, 2012

Paper No: MSEC2012-7380

DOI: https://doi.org/10.1115/MSEC2012-7380

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Topics: Acoustic emissions, Wear, Monitoring systems, Process monitoring, Sensors

Proceedings Papers

Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring

Chi-Feng Huang, Ming-Chyuan Lu

Proc. ASME. MSEC2011, ASME 2011 International Manufacturing Science and Engineering Conference, Volume 2, 235-242, June 13–17, 2011

Paper No: MSEC2011-50099

DOI: https://doi.org/10.1115/MSEC2011-50099

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Topics: Microphone arrays, Noise control, Wear, Filters, Cutting, Noise (Sound), Microphones, Signals, Condition monitoring, Design

Proceedings Papers

Development of Sound Based Tool Wear Monitoring System in Micro-Milling

Ming-Hsing Lee, Ming-Chyuan Lu, Jhy-Cherng Tsai

Proc. ASME. MSEC2010, ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1, 427-434, October 12–15, 2010

Paper No: MSEC2010-34240

DOI: https://doi.org/10.1115/MSEC2010-34240

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Topics: Micromilling, Monitoring systems, Wear, Signals, Condition monitoring, Cutting, Design, Electromagnetic scattering, Feature selection, Microphones

Proceedings Papers

Study of Sound Signal for Tool Wear Monitoring System in Micro-Milling Processes

Tin-Hong Chen, Ming-Chyuan Lu, Shean-Juinn Chiou, Ching-Yuan Lin, Ming-Hsing Lee

Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 57-65, October 4–7, 2009

Paper No: MSEC2009-84178

DOI: https://doi.org/10.1115/MSEC2009-84178

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Topics: Micromilling, Monitoring systems, Signals, Wear, Cutting, Milling, Modeling, Sensors, Vibration, Algorithms

Proceedings Papers

Calibration of a Milling Force Model Using Feed and Spindle Power Sensors

Bryan Javorek, Barry K. Fussell, Robert B. Jerard

Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2, 1-10, October 7–10, 2008

Paper No: MSEC_ICM&P2008-72315

DOI: https://doi.org/10.1115/MSEC_ICMP2008-72315

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Topics: Calibration, Milling, Sensors, Cutting, Dynamometers, Force sensors, Geometry, Machining, Monitoring systems, Motors

Proceedings Papers

Fuzzy Logic Control System for Micro-Hole Electrical Discharge Machining

Chen-Chun Kao, Scott F. Miller, Albert J. Shih

Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 793-802, October 15–18, 2007

Paper No: MSEC2007-31193

DOI: https://doi.org/10.1115/MSEC2007-31193

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Topics: Control systems, Electrical discharge machining, Fuzzy logic, Drilling, Displacement, Ignition delay, Servomechanisms, Control equipment, Cycles, Data acquisition

Proceedings Papers

Characteristic Evaluation of Silicon-Based MEMS Acoustic/Acceleration Sensor

Ru-Min Chao, Sie-Yu Li, Chih-Chao Hsu, Steven Y. Liang

Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 389-394, October 15–18, 2007

Paper No: MSEC2007-31131

DOI: https://doi.org/10.1115/MSEC2007-31131

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Topics: Acoustics, Microelectromechanical systems, Sensors, Silicon, Manufacturing, Microsensors, Design, Monitoring systems, Semiconductor wafers, Machining

NARROW

Polarized Illumination for Optical Monitoring System in Laser Powder Bed Fusion

Conceptualization and Design of a Low-Cost MTConnect-Enabled Refractometer for Coolant Health Monitoring

Audio-Based Condition Monitoring in Milling of the Workpiece Material With the Hardness Variation Using Support Vector Machines and Convolutional Neural Networks

Rapidly Deployable MTConnect-Based Machine Tool Monitoring Systems

Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes

Classifier Fusion for Acoustic Emission Based Tool Wear Monitoring

Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring

Development of Sound Based Tool Wear Monitoring System in Micro-Milling

Study of Sound Signal for Tool Wear Monitoring System in Micro-Milling Processes

Calibration of a Milling Force Model Using Feed and Spindle Power Sensors

Fuzzy Logic Control System for Micro-Hole Electrical Discharge Machining

Characteristic Evaluation of Silicon-Based MEMS Acoustic/Acceleration Sensor

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