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Proceedings Papers

Dynamic Force Measurement Using an Accelerometer: A Proof-of-Concept Study

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Otto Randolph, Chin-Cheng Shih, Bruce Tai
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T06A024, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125330
https://doi.org/10.1115/MSEC2024-125330
View Paper titled, Dynamic Force Measurement Using an Accelerometer: A Proof-of-Concept Study
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Topics: Accelerometers, Force measurement, Machine tools, Dynamometers, Additive manufacturing, Cantilever beams, Metals, Approximation, Chatter, Cutting
Proceedings Papers

Estimating Milling Forces From Vibration Measurements

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Manish Joddar, Keivan Ahmadi
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T04A001, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85157
https://doi.org/10.1115/MSEC2022-85157
View Paper titled, Estimating Milling Forces From Vibration Measurements
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Topics: Milling, Vibration measurement, Machining, Vibration, Kalman filters, Process monitoring, Signals, Accelerometers, Cutting, Force sensors
Proceedings Papers

Analysis of Vibration Signals in Monitoring Titanium End Milling Process Using Triaxial Accelerometer

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John Henry Navarro-Devia, Dzung Viet Dao, Yun Chen, Huaizhong Li
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A018, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-64688
https://doi.org/10.1115/MSEC2021-64688
View Paper titled, Analysis of Vibration Signals in Monitoring Titanium End Milling Process Using Triaxial Accelerometer
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Topics: Accelerometers, Machining, Milling, Signals, Titanium, Vibration
Proceedings Papers

On Transfer Learning of Traditional Frequency and Time Domain Features in Turning

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Melih C. Yesilli, Firas A. Khasawneh
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A027, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8274
https://doi.org/10.1115/MSEC2020-8274
View Paper titled, On Transfer Learning of Traditional Frequency and Time Domain Features in Turning
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Topics: Accelerometers, Algorithms, Chatter, Cutting, Fast Fourier transforms, Machine learning, Manufacturing, Signal processing, Signals, Spectral energy distribution
Proceedings Papers

Embedded Sensing Capabilities in an FDM Printed Object

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Garrett McGrady, Neel Jain, Douglas Jackson, Kevin Walsh
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A010, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8378
https://doi.org/10.1115/MSEC2020-8378
View Paper titled, Embedded Sensing Capabilities in an FDM Printed Object
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Topics: Accelerometers, Additive manufacturing, Bending (Stress), Bridges (Structures), Buckling, Cavities, Circuits, Design, Diaphragms (Mechanical devices), Diaphragms (Structural)
Proceedings Papers

Heuristic Feature Selection for Shaving Tool Wear Classification

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Yong Wang, Adam J. Brzezinski, Xianli Qiao, Jun Ni
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A040, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8547
https://doi.org/10.1115/MSEC2016-8547
View Paper titled, Heuristic Feature Selection for Shaving Tool Wear Classification
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Topics: Feature selection, Wear, Accelerometers, Condition monitoring, Feature extraction, Machinery, Signals
Proceedings Papers

Sensor-Based Online Process Fault Detection in Additive Manufacturing

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Prahalad K. Rao, Jia (Peter) Liu, David Roberson, Zhenyu (James) Kong
Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A010, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9389
https://doi.org/10.1115/MSEC2015-9389
View Paper titled, Sensor-Based Online Process Fault Detection in Additive Manufacturing
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Topics: Additive manufacturing, Flaw detection, Sensors, Accelerometers, Accuracy and precision, Artificial neural networks, Decision making, Failure, Failure mechanisms, Machinery
Proceedings Papers

Investigation of the Relationship Between Vibration Data and Tool Wear During End-Milling of Gamma-Prime Strengthened Alloys

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Vasileios Bardis, Farbod Akhavan Niaki, Durul Ulutan, Laine Mears
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A113, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9470
https://doi.org/10.1115/MSEC2015-9470
View Paper titled, Investigation of the Relationship Between Vibration Data and Tool Wear During End-Milling of Gamma-Prime Strengthened Alloys
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Topics: Alloys, Milling, Vibration, Wear, Machining, Accelerometers, Machinery, Maintenance, Optical microscopes, Sensors
Proceedings Papers

Remote Tool Health Monitoring Using Wireless Sensors on Rotational Machinery

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Mark D. Rynders, David R. Loker, John T. Roth
Proc. ASME. MSEC2012, ASME 2012 International Manufacturing Science and Engineering Conference, 771-779, June 4–8, 2012
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2012-7335
https://doi.org/10.1115/MSEC2012-7335
View Paper titled, Remote Tool Health Monitoring Using Wireless Sensors on Rotational Machinery
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Topics: Machinery, Sensors, Failure, Computers, Internet, Accelerometers, Manufacturing, Process monitoring, User interfaces
Proceedings Papers

Experimental Setup for Multi-Sensor Fusion and Data Correlation Analysis During CNC Steel Turning Process

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Andrew Joslin, Manuel Hernandez, Erick Deane, Schadrick Collins, Chengying Xu, Don F. Wilson
Proc. ASME. MSEC2010, ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1, 461-467, October 12–15, 2010
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2010-34308
https://doi.org/10.1115/MSEC2010-34308
View Paper titled, Experimental Setup for Multi-Sensor Fusion and Data Correlation Analysis During CNC Steel Turning Process
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Topics: Computer numerical control machine tools, Sensors, Steel, Turning, Machining, Optimization, Accelerometers, Acoustic emissions, Alloy steel, Design
Proceedings Papers

A Low Cost Wireless Tool Tip Vibration Sensor for Milling

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Christopher A. Suprock, Barry K. Fussell, Raed Z. Hassan, Robert B. Jerard
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1, 465-474, October 7–10, 2008
Publisher: American Society of Mechanical Engineers
Paper No: MSEC_ICM&P2008-72492
https://doi.org/10.1115/MSEC_ICMP2008-72492
View Paper titled, A Low Cost Wireless Tool Tip Vibration Sensor for Milling
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Topics: Milling, Sensors, Vibration, Accelerometers, Chatter, Damage, Electronic components, Engineering prototypes, Hardware, Metal cutting
Proceedings Papers

A Comparability Study of a Wireless Electret Accelerometer to a Traditional Piezoelectric Accelerometer

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Joshua J. Jones, Timothy A. McNeal, Wesley A. Salandro, John T. Roth, Christopher A. Suprock, Barry K. Fussell
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1, 475-484, October 7–10, 2008
Publisher: American Society of Mechanical Engineers
Paper No: MSEC_ICM&P2008-72513
https://doi.org/10.1115/MSEC_ICMP2008-72513
View Paper titled, A Comparability Study of a Wireless Electret Accelerometer to a Traditional Piezoelectric Accelerometer
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Topics: Accelerometers
Proceedings Papers

Endmill Condition Monitoring and Failure Forecasting Method for Curvilinear Cuts of Non-Constant Radii

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Christopher A. Suprock, John T. Roth, Larry M. Downey
Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 507-516, October 15–18, 2007
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2007-31144
https://doi.org/10.1115/MSEC2007-31144
View Paper titled, Endmill Condition Monitoring and Failure Forecasting Method for Curvilinear Cuts of Non-Constant Radii
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Topics: Condition monitoring, Failure, Algorithms, Cutting, Accelerometers, Sensors, Fracture (Materials), Fracture (Process), Geometry, Life testing
Proceedings Papers

Directionally Independent Failure Prediction of End-Milling Tools During Pocketing Maneuvers

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Christopher A. Suprock, Jospeh J. Piazza, John T. Roth
Proc. ASME. MSEC2006, Manufacturing Science and Engineering, Parts A and B, 761-770, October 8–11, 2006
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2006-21089
https://doi.org/10.1115/MSEC2006-21089
View Paper titled, Directionally Independent Failure Prediction of End-Milling Tools During Pocketing Maneuvers
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Topics: Failure, Milling, Eigenvalues, Signals, Wear, Accelerometers, Cutting tools, Degrees of freedom, Dynamometers, Manufacturing