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Journal Articles

Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing

Christian Zamiela, Zhipeng Jiang, Ryan Stokes, Zhenhua Tian, Anton Netchaev, Charles Dickerson, Wenmeng Tian, Linkan Bian

J. Manuf. Sci. Eng. June 2023, 145(6): 061009.

Paper No: MANU-22-1240

DOI: https://doi.org/10.1115/1.4056873

Published Online: March 14, 2023

View Article titled, Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing

Topics: Porosity, Sensors, Metals, Additive manufacturing, Manufacturing, Pyrometers, Image segmentation

Journal Articles

Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning

Amit Surana, Matthew E. Lynch, Abdalla R. Nassar, Greg C. Ojard, Brian A. Fisher, David Corbin, Ryan Overdorff

J. Manuf. Sci. Eng. May 2023, 145(5): 051005.

Paper No: MANU-22-1330

DOI: https://doi.org/10.1115/1.4056540

Published Online: January 19, 2023

View Article titled, Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning

Topics: Flaw detection, Lasers, Sensors, Image segmentation, Resolution (Optics), Semantics, Time series, Testing

Journal Articles

Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

Shenghan Guo, Dali Wang, Jian Chen, Zhili Feng, Weihong “Grace” Guo

J. Manuf. Sci. Eng. February 2022, 144(2): 021009.

Paper No: MANU-21-1309

DOI: https://doi.org/10.1115/1.4051829

Published Online: August 5, 2021

View Article titled, Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

Topics: Artificial neural networks, Image segmentation, Nondestructive evaluation, Welding, Construction, Joining, Welded joints, Regression models

Journal Articles

Molten Pool Tracking Using a Superpixel-Based Approach in a Laser Metal Deposition Process

Angel-Iván García-Moreno, Juan-Manuel Alvarado-Orozco, Juansethi Ibarra-Medina, Enrique Martínez-Franco

J. Manuf. Sci. Eng. October 2021, 143(10): 101002.

Paper No: MANU-20-1519

DOI: https://doi.org/10.1115/1.4050546

Published Online: April 23, 2021

View Article titled, Molten Pool Tracking Using a Superpixel-Based Approach in a Laser Metal Deposition Process

Topics: Algorithms, Image segmentation, Lasers, Metals, Temperature, Uncertainty

Journal Articles

Human–Robot Collaboration in Smart Manufacturing: Robot Reactive Behavior Intelligence

Matteo Lavit Nicora, Roberto Ambrosetti, Gloria J. Wiens, Irene Fassi

J. Manuf. Sci. Eng. March 2021, 143(3): 031009.

Paper No: MANU-20-1283

DOI: https://doi.org/10.1115/1.4048950

Published Online: December 16, 2020

View Article titled, Human–Robot Collaboration in Smart Manufacturing: Robot Reactive Behavior Intelligence

Topics: Collaboration, Control equipment, Manufacturing, Robots, Robotics, Image segmentation

Journal Articles

Effects of Ultrasonic Vibration Assistance on Chip Formation Mechanism in Cutting of Ti–6Al–4V

Jian Gao, Xiaoliang Jin

J. Manuf. Sci. Eng. December 2019, 141(12): 121007.

Paper No: MANU-19-1300

DOI: https://doi.org/10.1115/1.4045129

Published Online: October 30, 2019

View Article titled, Effects of Ultrasonic Vibration Assistance on Chip Formation Mechanism in Cutting of Ti–6Al–4V

Topics: Cutting, Shear (Mechanics), Simulation, Temperature, Vibration, Image segmentation, Stress, Engineering simulation, Cutting tools, Shear stress

Journal Articles

Mechanism of Chip Segmentation in Orthogonal Cutting of Zr-Based Bulk Metallic Glass

Naresh Kumar Maroju, Xiaoliang Jin

J. Manuf. Sci. Eng. August 2019, 141(8): 081003.

Paper No: MANU-19-1144

DOI: https://doi.org/10.1115/1.4043837

Published Online: June 10, 2019

View Article titled, Mechanism of Chip Segmentation in Orthogonal Cutting of Zr-Based Bulk Metallic Glass

Topics: Cutting, Image segmentation, Shear (Mechanics), Shear stress, Temperature, Zirconium, Metallic glasses, Deformation, Stress

Journal Articles

Manufacturing Process Monitoring With Nonparametric Change-Point Detection in Automotive Industry

Shenghan Guo, Weihong (Grace) Guo, Amir Abolhassani, Rajeev Kalamdani, Saumuy Puchala, Annette Januszczak, Chandra Jalluri

J. Manuf. Sci. Eng. July 2019, 141(7): 071013.

Paper No: MANU-18-1506

DOI: https://doi.org/10.1115/1.4043732

Published Online: May 28, 2019

View Article titled, Manufacturing Process Monitoring With Nonparametric Change-Point Detection in Automotive Industry

Topics: Image segmentation, Maintenance, Manufacturing, Decision making, Automotive industry

Journal Articles

Chip Fracture Behavior in the High Speed Machining of Titanium Alloys

Xueping Zhang, Rajiv Shivpuri, Anil K. Srivastava

J. Manuf. Sci. Eng. August 2016, 138(8): 081001.

Paper No: MANU-15-1368

DOI: https://doi.org/10.1115/1.4032583

Published Online: March 25, 2016

View Article titled, Chip Fracture Behavior in the High Speed Machining of Titanium Alloys

Topics: Failure, Fracture (Materials), Fracture (Process), High speed machining, Image segmentation, Machining, Stress, Temperature, Titanium alloys, Phase transitions

Journal Articles

Influence of Preheating on Chip Segmentation and Microstructure in Orthogonal Machining of Ti6Al4V

Shashikant Joshi, Asim Tewari, Suhas Joshi

J. Manuf. Sci. Eng. December 2013, 135(6): 061017.

Paper No: MANU-13-1198

DOI: https://doi.org/10.1115/1.4025741

Published Online: November 18, 2013

View Article titled, Influence of Preheating on Chip Segmentation and Microstructure in Orthogonal Machining of Ti6Al4V

Topics: Cutting, Image segmentation, Machining, Shear (Mechanics), Temperature

Journal Articles

Commutation Sparking Image Monitoring for DC Motor

Fei Hu, Qingbo He, Jianping Wang, Zhigang Liu, Fanrang Kong

J. Manuf. Sci. Eng. April 2012, 134(2): 024501.

DOI: https://doi.org/10.1115/1.4005796

Published Online: April 4, 2012

View Article titled, Commutation Sparking Image Monitoring for DC Motor

Topics: Engines, Feature extraction, Image processing, Image segmentation, Motors, Fault diagnosis, Condition monitoring, Noise (Sound), Brightness (Photometry)

Journal Articles

Experimental Evaluation of the Variable-Feedrate Intelligent Segmentation Method for High-Speed, High-Precision Micromilling

Angela A. Sodemann, J. Rhett Mayor

J. Manuf. Sci. Eng. April 2011, 133(2): 021001.

DOI: https://doi.org/10.1115/1.4003010

Published Online: March 7, 2011

View Article titled, Experimental Evaluation of the Variable-Feedrate Intelligent Segmentation Method for High-Speed, High-Precision Micromilling

Topics: Algorithms, Cutting, Errors, Image segmentation, Micromilling, Shapes, Trajectories (Physics), Airfoils, Geometry, Waves

Journal Articles

Automatic Tonnage Monitoring for Missing Part Detection in Multi-Operation Forging Processes

Yong Lei, Zhisheng Zhang, Jionghua Jin

J. Manuf. Sci. Eng. October 2010, 132(5): 051010.

DOI: https://doi.org/10.1115/1.4002531

Published Online: October 4, 2010

View Article titled, Automatic Tonnage Monitoring for Missing Part Detection in Multi-Operation Forging Processes

Topics: Design, Forging, Signals, Errors, Feature selection, Principal component analysis, Image segmentation, Probability, Process monitoring

Journal Articles

Intelligent Tool-Path Segmentation for Improved Stability and Reduced Machining Time in Micromilling

J. Rhett Mayor, Angela A. Sodemann

J. Manuf. Sci. Eng. June 2008, 130(3): 031121.

DOI: https://doi.org/10.1115/1.2931492

Published Online: June 25, 2008

View Article titled, Intelligent Tool-Path Segmentation for Improved Stability and Reduced Machining Time in Micromilling

Topics: Errors, Image segmentation, Interpolation, Optimization, Stability, Machining, Microscale devices, Micromilling

Journal Articles

Individual Station Monitoring Using Press Tonnage Sensors for Multiple Operation Stamping Processes

Jionghua Jin, Assistant Professor

J. Manuf. Sci. Eng. February 2004, 126(1): 83–90.

DOI: https://doi.org/10.1115/1.1643749

Published Online: March 18, 2004

View Article titled, Individual Station Monitoring Using Press Tonnage Sensors for Multiple Operation Stamping Processes

Topics: Metal stamping, Signals, Quality control charts, Blanking (Metalworking), Image segmentation, Door knobs, Sensors, Failure

Journal Articles

A Multi-Sensor Approach for Rapid Digitization and Data Segmentation in Reverse Engineering

V. H. Chan, Assistant Professor, Assoc. Mem. ASME,, C. Bradley, Associate Professor, G. W. Vickers, Professor

J. Manuf. Sci. Eng. November 2000, 122(4): 725–733.

DOI: https://doi.org/10.1115/1.1286125

Published Online: October 1, 1999

View Article titled, A Multi-Sensor Approach for Rapid Digitization and Data Segmentation in Reverse Engineering

Topics: Algorithms, Image segmentation, Lasers, Reverse engineering, Sensors, Artificial neural networks, Coordinate measuring machines

Journal Articles

Application of Computational Machining Method to Discontinuous Chip Formation

T. Obikawa, H. Sasahara, T. Shirakashi, E. Usui

J. Manuf. Sci. Eng. November 1997, 119(4B): 667–674.

DOI: https://doi.org/10.1115/1.2836807

Published Online: November 1, 1997

View Article titled, Application of Computational Machining Method to Discontinuous Chip Formation

Topics: Machining, Fracture (Materials), Image segmentation, Brass (Metal), Cutting, Ductile fracture, Finite element analysis, Hydrostatic pressure, Modeling, Shapes

Journal Articles

Computational Machining of Titanium Alloy—Finite Element Modeling and a Few Results

T. Obikawa, E. Usui

J. Manuf. Sci. Eng. May 1996, 118(2): 208–215.

DOI: https://doi.org/10.1115/1.2831013

Published Online: May 1, 1996

View Article titled, Computational Machining of Titanium Alloy—Finite Element Modeling and a Few Results

Topics: Finite element analysis, Machining, Modeling, Titanium alloys, Cutting, Deformation, Shapes, Temperature, Ductile fracture, Fracture (Materials)

Journal Articles

Effect of Hardness on the Surface Integrity of AISI 4340 Steel

Y. Matsumoto, M. M. Barash, C. R. Liu

J. Manuf. Sci. Eng. August 1986, 108(3): 169–175.

DOI: https://doi.org/10.1115/1.3187060

Published Online: August 1, 1986

View Article titled, Effect of Hardness on the Surface Integrity of AISI 4340 Steel

Topics: Steel, Stress, Compressive stress, Electron diffraction, Image segmentation, Machining, Martensitic steel, Microscopes, Optical microscopes, Reflection

Journal Articles

On the Mechanics of Chip Segmentation In Machining

R. Komanduri, R. H. Brown

J. Manuf. Sci. Eng. February 1981, 103(1): 33–51.

DOI: https://doi.org/10.1115/1.3184458

Published Online: February 1, 1981

View Article titled, On the Mechanics of Chip Segmentation In Machining

Topics: Image segmentation, Machining, Fracture (Materials), Shear (Mechanics), Cutting, Dynamic response, Explosives, Friction, Machine tools, Microcracks

Journal citation

NARROW

Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing

Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning

Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

Molten Pool Tracking Using a Superpixel-Based Approach in a Laser Metal Deposition Process

Human–Robot Collaboration in Smart Manufacturing: Robot Reactive Behavior Intelligence

Effects of Ultrasonic Vibration Assistance on Chip Formation Mechanism in Cutting of Ti–6Al–4V

Mechanism of Chip Segmentation in Orthogonal Cutting of Zr-Based Bulk Metallic Glass

Manufacturing Process Monitoring With Nonparametric Change-Point Detection in Automotive Industry

Chip Fracture Behavior in the High Speed Machining of Titanium Alloys

Influence of Preheating on Chip Segmentation and Microstructure in Orthogonal Machining of Ti6Al4V

Commutation Sparking Image Monitoring for DC Motor

Experimental Evaluation of the Variable-Feedrate Intelligent Segmentation Method for High-Speed, High-Precision Micromilling

Automatic Tonnage Monitoring for Missing Part Detection in Multi-Operation Forging Processes

Intelligent Tool-Path Segmentation for Improved Stability and Reduced Machining Time in Micromilling

Individual Station Monitoring Using Press Tonnage Sensors for Multiple Operation Stamping Processes

A Multi-Sensor Approach for Rapid Digitization and Data Segmentation in Reverse Engineering

Application of Computational Machining Method to Discontinuous Chip Formation

Computational Machining of Titanium Alloy—Finite Element Modeling and a Few Results

Effect of Hardness on the Surface Integrity of AISI 4340 Steel

On the Mechanics of Chip Segmentation In Machining

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