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Journal Articles

Vibration Signal-Assisted Endpoint Detection for Long-Stretch, Ultraprecision Polishing Processes

Shilan Jin, Satish Bukkapatnam, Sean Michael Hayes, Yu Ding

J. Manuf. Sci. Eng. June 2023, 145(6): 061007.

Paper No: MANU-22-1523

DOI: https://doi.org/10.1115/1.4056809

Published Online: February 20, 2023

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Topics: Polishing, Signals, Vibration, Surface roughness

Journal Articles

Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques

Alexandra Schueller, Christopher Saldaña

J. Manuf. Sci. Eng. January 2023, 145(1): 011006.

Paper No: MANU-22-1333

DOI: https://doi.org/10.1115/1.4055822

Published Online: October 13, 2022

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Topics: Condition monitoring, Machine learning, Machining, Wear, Signals, Robustness, Stress

Journal Articles

A NURBS Curve Interpolator Based on Double-Step Signal and Finite Impulse Response Filters

Tie Zhang, Liangliang Guo, Yanbiao Zou

J. Manuf. Sci. Eng. February 2023, 145(2): 021001.

Paper No: MANU-21-1265

DOI: https://doi.org/10.1115/1.4055246

Published Online: September 27, 2022

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Topics: Errors, Filters, Finite impulse response filters, Interpolation, Signals, Trajectories (Physics), Chords (Trusses)

Journal Articles

Tool Wear Characterization in Turning of a Nickel Superalloy Through Customized Pin-On-Disk Tests and Acoustic Emission Signals Analysis

Rodolfo Franchi, Giovanna Rotella, Antonio Del Prete

J. Manuf. Sci. Eng. December 2022, 144(12): 121008.

Paper No: MANU-22-1162

DOI: https://doi.org/10.1115/1.4054992

Published Online: August 25, 2022

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Topics: Acoustic emissions, Disks, Signals, Tribology, Wear, Machining, Turning

Journal Articles

Condition Monitoring of Machine Tool Feed Drives: A Review

Quade Butler, Youssef Ziada, David Stephenson, S. Andrew Gadsden

J. Manuf. Sci. Eng. October 2022, 144(10): 100802.

Paper No: MANU-21-1529

DOI: https://doi.org/10.1115/1.4054516

Published Online: June 22, 2022

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Topics: Condition monitoring, Machine tools, Screws, Sensors, Signals, Wear, Vibration, Machinery, Errors

Journal Articles

Novel Correlations Between Process Forces and Void Morphology for Effective Detection and Minimization of Voids During Friction Stir Welding

Mohammad Ali Ansari, Hemant Agiwal, Mike Zinn, Frank Pfefferkorn, Shiva Rudraraju

J. Manuf. Sci. Eng. September 2022, 144(9): 091007.

Paper No: MANU-21-1648

DOI: https://doi.org/10.1115/1.4054338

Published Online: May 19, 2022

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Topics: Flow (Dynamics), Friction, Probes, Rotation, Welding, Stiffness, Deformation, Signals, Welded joints, Computer simulation

Includes: Supplementary data

Journal Articles

Development of a Novel Approach to Predict Tool Life Based on Tool Path Features in Ta6V Milling

Q. Lagarde, V. Wagner, G. Dessein, P. Couderc

J. Manuf. Sci. Eng. September 2022, 144(9): 091006.

Paper No: MANU-21-1575

DOI: https://doi.org/10.1115/1.4054298

Published Online: May 19, 2022

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Topics: Cutting, Signals, Toolpaths, Databases, Milling, Wear

Journal Articles

Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

Christian Kubik, Dirk Alexander Molitor, Marco Becker, Peter Groche

J. Manuf. Sci. Eng. September 2022, 144(9): 091003.

Paper No: MANU-21-1397

DOI: https://doi.org/10.1115/1.4054158

Published Online: April 8, 2022

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Topics: Blanking (Metalworking), Chain, Data acquisition, Data mining, Engineering systems and industry applications, Machine learning, Manufacturing, Manufacturing systems, Modeling, Sensors

Journal Articles

Run-Time Cutting Force Estimation Based on Learned Nonlinear Frequency Response Function

Jacob Fabro, Gregory W. Vogl, Yongzhi Qu

J. Manuf. Sci. Eng. September 2022, 144(9): 091002.

Paper No: MANU-21-1638

DOI: https://doi.org/10.1115/1.4054157

Published Online: April 8, 2022

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Topics: Cutting, Frequency response, Machinery, Testing, Vibration, Machining, Signals

Journal Articles

Multimodal Data-Driven Robot Control for Human–Robot Collaborative Assembly

Sichao Liu, Lihui Wang, Xi Vincent Wang

J. Manuf. Sci. Eng. May 2022, 144(5): 051012.

Paper No: MANU-21-1461

DOI: https://doi.org/10.1115/1.4053806

Published Online: March 29, 2022

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Topics: Electroencephalography, Manufacturing, Robots, Signals

Journal Articles

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Joseph Cohen, Baoyang Jiang, Jun Ni

J. Manuf. Sci. Eng. July 2022, 144(7): 071006.

Paper No: MANU-21-1315

DOI: https://doi.org/10.1115/1.4052762

Published Online: December 8, 2021

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Topics: Fault diagnosis, Machine learning, Signals, Synchronization, Failure, Manufacturing systems, Programmable controllers, Delays

Journal Articles

Characterization of Photodiodes for Detection of Variations in Part-to-Part Gap and Weld Penetration Depth During Remote Laser Welding of Copper-to-Steel Battery Tab Connectors

Giovanni Chianese, Pasquale Franciosa, Jonas Nolte, Darek Ceglarek, Stanislao Patalano

J. Manuf. Sci. Eng. July 2022, 144(7): 071004.

Paper No: MANU-21-1336

DOI: https://doi.org/10.1115/1.4052725

Published Online: December 7, 2021

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Topics: Batteries, Copper, Laser welding, Lasers, Photodiodes, Sensors, Signals, Steel, Welded joints, Welding

Journal Articles

Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing

Zhe Gao, Haris Ali Khan, Jingjing Li, Weihong (Grace) Guo

J. Manuf. Sci. Eng. June 2022, 144(6): 061009.

Paper No: MANU-21-1407

DOI: https://doi.org/10.1115/1.4052907

Published Online: December 3, 2021

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Topics: Carbon reinforced plastics, Failure mechanisms, Feature extraction, Feature selection, Friction, Manufacturing, Riveting, Sensors, Signals, Tensors

Journal Articles

Process Monitoring in Ultrasonic Metal Welding of Lithium Batteries by Power Signals

Xinhua Shi, Lin Li, Suiran Yu, Lingxiang Yun

J. Manuf. Sci. Eng. May 2022, 144(5): 051007.

Paper No: MANU-21-1421

DOI: https://doi.org/10.1115/1.4052704

Published Online: October 25, 2021

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Topics: Process monitoring, Signals, Welding, Metals

Journal Articles

A Flexible Similarity-Based Algorithm for Tool Condition Monitoring

Benjamin Stuhr, Rui Liu

J. Manuf. Sci. Eng. March 2022, 144(3): 031010.

Paper No: MANU-21-1328

DOI: https://doi.org/10.1115/1.4051885

Published Online: August 19, 2021

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Topics: Algorithms, Condition monitoring, Cutting, Cutting tools, Machining, Signals, Wear

Journal Articles

In Situ Monitoring of Optical Emission Spectra for Microscopic Pores in Metal Additive Manufacturing

Wenbo Sun, Zhenhao Zhang, Wenjing Ren, Jyoti Mazumder, Jionghua (Judy) Jin

J. Manuf. Sci. Eng. January 2022, 144(1): 011006.

Paper No: MANU-20-1528

DOI: https://doi.org/10.1115/1.4051532

Published Online: July 1, 2021

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Topics: Additive manufacturing, Emission spectra, Inspection, Metals, Simulation, Spectra (Spectroscopy), Feature extraction, Signals, Lasers, Wavelength

Journal Articles

A Novel Expulsion Control Strategy With Abnormal Condition Adaptability for Resistance Spot Welding

Yan Shen, Yu-Jun Xia, Huan Li, Lang Zhou, Yong-Bing Li, Hai-Tao Pan

J. Manuf. Sci. Eng. November 2021, 143(11): 111009.

Paper No: MANU-21-1100

DOI: https://doi.org/10.1115/1.4051011

Published Online: June 11, 2021

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Topics: Welding, Signals, Displacement

Journal Articles

Influence of Tool Runout on Force Measurement During Internal Void Monitoring for Friction Stir Welding of 6061-T6 Aluminum

Daniel Franke, Michael Zinn, Shiva Rudraraju, Frank E. Pfefferkorn

J. Manuf. Sci. Eng. November 2021, 143(11): 111008.

Paper No: MANU-20-1708

DOI: https://doi.org/10.1115/1.4051009

Published Online: June 11, 2021

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Topics: Friction, Probes, Transients (Dynamics), Welding, Signals, Aluminum, Welded joints

Journal Articles

An Automated Edge Computing-Based Condition Health Monitoring System: With an Application on Rolling Element Bearings

Niklas Tritschler, Andrew Dugenske, Thomas Kurfess

J. Manuf. Sci. Eng. July 2021, 143(7): 071006.

Paper No: MANU-20-1269

DOI: https://doi.org/10.1115/1.4049845

Published Online: February 26, 2021

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Topics: Bearings, Cutting, Monitoring systems, Rolling bearings, Sensors, Signals, Vibration, Machinery

Journal Articles

Tool Life Stage Prediction in Micro-Milling From Force Signal Analysis Using Machine Learning Methods

Alwin Varghese, Vinay Kulkarni, Suhas S. Joshi

J. Manuf. Sci. Eng. May 2021, 143(5): 054501.

Paper No: MANU-20-1137

DOI: https://doi.org/10.1115/1.4048636

Published Online: November 11, 2020

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Topics: Condition monitoring, Cutting, Machine learning, Machining, Micromilling, Model development, Signals, Wear

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Journal citation

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Supplemental Material

Vibration Signal-Assisted Endpoint Detection for Long-Stretch, Ultraprecision Polishing Processes

Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques

A NURBS Curve Interpolator Based on Double-Step Signal and Finite Impulse Response Filters

Tool Wear Characterization in Turning of a Nickel Superalloy Through Customized Pin-On-Disk Tests and Acoustic Emission Signals Analysis

Condition Monitoring of Machine Tool Feed Drives: A Review

Novel Correlations Between Process Forces and Void Morphology for Effective Detection and Minimization of Voids During Friction Stir Welding

Development of a Novel Approach to Predict Tool Life Based on Tool Path Features in Ta6V Milling

Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

Run-Time Cutting Force Estimation Based on Learned Nonlinear Frequency Response Function

Multimodal Data-Driven Robot Control for Human–Robot Collaborative Assembly

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Characterization of Photodiodes for Detection of Variations in Part-to-Part Gap and Weld Penetration Depth During Remote Laser Welding of Copper-to-Steel Battery Tab Connectors

Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing

Process Monitoring in Ultrasonic Metal Welding of Lithium Batteries by Power Signals

A Flexible Similarity-Based Algorithm for Tool Condition Monitoring

In Situ Monitoring of Optical Emission Spectra for Microscopic Pores in Metal Additive Manufacturing

A Novel Expulsion Control Strategy With Abnormal Condition Adaptability for Resistance Spot Welding

Influence of Tool Runout on Force Measurement During Internal Void Monitoring for Friction Stir Welding of 6061-T6 Aluminum

An Automated Edge Computing-Based Condition Health Monitoring System: With an Application on Rolling Element Bearings

Tool Life Stage Prediction in Micro-Milling From Force Signal Analysis Using Machine Learning Methods

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