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Journal Articles

Characterizing Shunting Effects on Nugget Quality and Joint Strength in Sequential Spot Welds for Automotive Applications

Ananta Dutta, Madhavakrishna Baskar, Surjya K. Pal

Publisher: ASME

J. Manuf. Sci. Eng. July 2025, 147(7): 071008.

Paper No: MANU-24-1834

https://doi.org/10.1115/1.4068163

Published Online: April 17, 2025

... finite element simulation automobile modeling and simulation sensing monitoring and diagnostics welding and joining References [1] Söderberg , R. , Wärmefjord , K. , Lindkvist , L. , and Berlin , R. , 2012 , “ The Influence of Spot Weld Position Variation...

View Articletitled, Characterizing Shunting Effects on Nugget Quality and Joint Strength in Sequential Spot Welds for Automotive Applications

Topics: Current density, Electrodes, Temperature, Welded joints, Welding, Automotive industry, Heat, Flow (Dynamics)

Journal Articles

In-Process Monitoring of Part Quality in Laser Powder Bed Fusion Additive Manufacturing Process Using Acoustic Emission Sensors

Benjamin D. Bevans, Alex Riensche, Antonio Carrington, Jr., Kaustubh Deshmukh, Mihir Darji, Yuri Plotnikov, John Sions, Kyle Snyder, Derek Hass, Prahalada Rao

Publisher: ASME

J. Manuf. Sci. Eng. June 2025, 147(6): 061010.

Paper No: MANU-24-1649

https://doi.org/10.1115/1.4067848

Published Online: March 11, 2025

... and quality control sensing monitoring and diagnostics sensors National Institute of Standards and Technology 10.13039/100000161 70NANB23H029T National Science Foundation 10.13039/100000001 CMMI-1719388 Office of Naval Research 10.13039/100000006 N00014-21- 1-2781...

View Articletitled, In-Process Monitoring of Part Quality in Laser Powder Bed Fusion Additive Manufacturing Process Using Acoustic Emission Sensors

Topics: Acoustic emissions, Additive manufacturing, Failure, Finishes, Heat, Imaging, Laser powder bed fusion, Lasers, Sensors, Signals

Journal Articles

Adaptive Online Continual Learning for In-Situ Quality Prediction in Manufacturing Processes

Mengfei Chen, Wenbo Sun, Weihong “Grace” Guo

Publisher: ASME

J. Manuf. Sci. Eng. June 2025, 147(6): 061001.

Paper No: MANU-24-1389

https://doi.org/10.1115/1.4066799

Published Online: February 11, 2025

... in the manufacturing process. predictive quality manufacturing processes continual learning learning without forgetting in-situ process monitoring inspection and quality control sensing monitoring and diagnostics Graphical Abstract Figure Proposed continual learning model structure for online...

View Articletitled, Adaptive Online Continual Learning for In-Situ Quality Prediction in Manufacturing Processes

Topics: Convolutional neural networks, Manufacturing, Metal stamping, Algorithms, Lasers, Signals

Journal Articles

Prediction of Thermally Induced Axial Displacement of Mechanical Components Using LightGBM

Yohichi Nakao, Fuusei Yagi, Tsuyoshi Sato

Publisher: ASME

J. Manuf. Sci. Eng. January 2025, 147(1): 011009.

Paper No: MANU-24-1405

https://doi.org/10.1115/1.4066959

Published Online: November 21, 2024

...: r202470148ok@jindai.jp 07 06 2024 21 08 2024 22 08 2024 21 11 2024 Graphical Abstract Figure control and automation machine tool dynamics sensing monitoring and diagnostics sensors In recent years, the decline in the working-age population has increased...

View Articletitled, Prediction of Thermally Induced Axial Displacement of Mechanical Components Using LightGBM

Topics: Displacement, Machine learning, Servomotors, Heat, Temperature, Sensors

Journal Articles

Modeling of Ball Screw–Nut Interface Stiffness With Wear (Ball Screw Wear Dynamics)

Hoda Heydarnia, Yusuf Altintas

Publisher: ASME

J. Manuf. Sci. Eng. February 2025, 147(2): 021005.

Paper No: MANU-24-1231

https://doi.org/10.1115/1.4066544

Published Online: October 14, 2024

... for manufacturing machine tool dynamics machining processes modeling and simulation precision and ultra-precision machining sensing monitoring and diagnostics sensors Ball screw drives are widely used in machine tools due to their lower cost and torque reduction capabilities. As the machine is used...

View Articletitled, Modeling of Ball Screw–Nut Interface Stiffness With Wear (Ball Screw Wear Dynamics)

Topics: Screws, Stiffness, Wear

Journal Articles

Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing

Rayne Wolf, Liangkui Jiang, Khawlah Alharbi, Pengyu Zhang, Chao Wang, Hantang Qin

Publisher: ASME

J. Manuf. Sci. Eng. December 2024, 146(12): 121002.

Paper No: MANU-24-1229

https://doi.org/10.1115/1.4066097

Published Online: September 19, 2024

.... National Aeronautics and Space Administration 10.13039/100000104 80NSSC2XK1188 80MSFC23PA012 inductive transfer learning domain shift electrohydrodynamic inkjet printing in-space manufacturing additive manufacturing process engineering semiconductor manufacturing sensing monitoring...

View Articletitled, Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing

Topics: Electrohydrodynamics, Gravity (Force), Machine learning, Manufacturing, Printing, Flight, Additive manufacturing, Physics, Testing

Journal Articles

In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning

Liangkui Jiang, Rayne Wolf, Khawlah Alharbi, Hantang Qin

Publisher: ASME

J. Manuf. Sci. Eng. November 2024, 146(11): 110901.

Paper No: MANU-24-1132

https://doi.org/10.1115/1.4066124

Published Online: September 11, 2024

... printing Taylor cone machine learning high-speed imaging inspection and quality control micro- and nano-machining and processing sensing monitoring and diagnostics National Aeronautics and Space Administration 10.13039/100000104 80NSSC23K1188 80NSSC21M0360 80NSSC20M0107...

View Articletitled, In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning

Topics: Electrohydrodynamics, Machine learning, Printing, Image processing

Journal Articles

Bridging Data Gaps: A Federated Learning Approach to Heat Emission Prediction in Laser Powder Bed Fusion

Rong Lei, Y. B. Guo, Jiwang Yan, Weihong “Grace” Guo

Publisher: ASME

J. Manuf. Sci. Eng. October 2024, 146(10): 101002.

Paper No: MANU-24-1159

https://doi.org/10.1115/1.4065888

Published Online: July 23, 2024

...- and medium-sized enterprises data sharing federated learning inspection and quality control sensing monitoring and diagnostics Metal additive manufacturing (AM) has been widely used in industries, proving its success across various enterprises [ 1 ]. Its advantages in producing complex...

View Articletitled, Bridging Data Gaps: A Federated Learning Approach to Heat Emission Prediction in Laser Powder Bed Fusion

Topics: Algorithms, Emissions, Heat, Lasers, Additive manufacturing, Data collection, Data privacy

Journal Articles

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part I: Modeling of Geometric Faults

Chung-Yu Tai, Yusuf Altintas

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081004.

Paper No: MANU-23-1548

https://doi.org/10.1115/1.4065062

Published Online: May 7, 2024

... and simulation sensing monitoring and diagnostics Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 IRCPJ-260683 The dynamics of the spindle system depend on its dimensions, tool holder, cutting tool assembly, bearing type and location, bearing preload...

View Articletitled, A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part I: Modeling of Geometric Faults

Topics: Bearings, Vibration

Journal Articles

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part II: Dynamic Simulation and Validation

Chung-Yu Tai, Yusuf Altintas

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081005.

Paper No: MANU-23-1549

https://doi.org/10.1115/1.4065221

Published Online: May 7, 2024

... and simulation sensing monitoring and diagnostics Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 IRCPJ-260683 To ensure optimal machining performance of machine tools, it is crucial to model the effects of bearing faults, contact loss between the shaft...

View Articletitled, A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part II: Dynamic Simulation and Validation

Topics: Bearings, Vibration, Stiffness

Journal Articles

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection

Chung-Yu Tai, Yusuf Altintas

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081006.

Paper No: MANU-23-1550

https://doi.org/10.1115/1.4065227

Published Online: May 7, 2024

... spindle vibration machine learning recurrent neural network gated recurrent unit unbalance bearing fault detection machine tool dynamics modeling and simulation sensing monitoring and diagnostics Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 IRCPJ...

View Articletitled, A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection

Topics: Artificial neural networks, Bearings, Flaw detection, Optimization, Physics, Vibration, Testing, Algorithms, Sensors, Trains

Journal Articles

AFSD-Nets: A Physics-Informed Machine Learning Model for Predicting the Temperature Evolution During Additive Friction Stir Deposition

Tony Shi, Jiajie Wu, Mason Ma, Elijah Charles, Tony Schmitz

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081003.

Paper No: MANU-23-1608

https://doi.org/10.1115/1.4065178

Published Online: April 25, 2024

... modeling and simulation sensing monitoring and diagnostics References [1] Mishra , R. S. , Haridas , R. S. , and Agrawal , P. , 2022 , “ Friction Stir-Based Additive Manufacturing ,” Sci. Technol. Weld. Joining , 27 ( 3 ), pp. 141 – 165 . 10.1080...

View Articletitled, AFSD-Nets: A Physics-Informed Machine Learning Model for Predicting the Temperature Evolution During Additive Friction Stir Deposition

Topics: Heat, Temperature, Simulation, Heat transfer, Physics

Journal Articles

Nondestructive Surface Profiling and Inspection by Using a Single Unit Magneto-Eddy-Current Sensor

Jungsub Kim, Heebum Chun, ChaBum Lee

Publisher: ASME

J. Manuf. Sci. Eng. June 2024, 146(6): 064501.

Paper No: MANU-21-1527

https://doi.org/10.1115/1.4053810

Published Online: April 9, 2024

... 04 2024 nondestructive testing eddy-current sensor magnetic sensor surface profiling metrology sensing monitoring and diagnostics sensors Surface profile measurement and inspection technique is of importance for quantifying the surface quality of the machined parts. Surface...

View Articletitled, Nondestructive Surface Profiling and Inspection by Using a Single Unit Magneto-Eddy-Current Sensor

Topics: Eddies (Fluid dynamics), Inspection, Sensors, Nondestructive evaluation, Steel, Copper, Aluminum, Magnets, Rivets

Journal Articles

Effect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach

Qiyang Ma, Yuhao Zhong, Zimo Wang, Satish Bukkapatnam

Publisher: ASME

J. Manuf. Sci. Eng. March 2024, 146(3): 031003.

Paper No: MANU-23-1293

https://doi.org/10.1115/1.4064039

Published Online: December 4, 2023

... 11 05 2023 03 11 2023 05 11 2023 04 12 2023 model-agnostic explanations microstructural feature machine behaviors composites machine tool dynamics machining processes sensing monitoring and diagnostics Binghamton University 10.13039/100008451...

View Articletitled, Effect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach

Topics: Composite materials, Cutting, Fibers, Machinability, Machining, Machine learning

Journal Articles

Effects of Laser-Powder Alignment on Clad Dimension and Melt Pool Temperature in Directed Energy Deposition

Jihoon Jeong, Samantha Webster, Rujing Zha, Jon-Erik Mogonye, Kornel Ehmann, Jian Cao

Publisher: ASME

J. Manuf. Sci. Eng. January 2024, 146(1): 011007.

Paper No: MANU-23-1301

https://doi.org/10.1115/1.4063390

Published Online: October 17, 2023

... clad dimension additive manufacturing rapid prototyping and solid freeform fabrication sensing monitoring and diagnostics Center for Hierarchical Manufacturing, National Science Foundation 10.13039/100006445 70NANB19H005 U.S. Army Research Laboratory 10.13039/100006754 W911NF...

View Articletitled, Effects of Laser-Powder Alignment on Clad Dimension and Melt Pool Temperature in Directed Energy Deposition

Topics: Dimensions, Flow (Dynamics), Lasers, Temperature, Laser beams

Journal Articles

Physics-Guided Long Short-Term Memory Networks for Emission Prediction in Laser Powder Bed Fusion

Rong Lei, Y. B. Guo, Weihong “Grace” Guo

Publisher: ASME

J. Manuf. Sci. Eng. January 2024, 146(1): 011006.

Paper No: MANU-23-1291

https://doi.org/10.1115/1.4063270

Published Online: October 17, 2023

... and quality control sensing‌ monitoring and diagnostics Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 CMMI-2152908 Powder bed fusion (PBF) is one of the most popular techniques in metal additive manufacturing (AM) with a variety of applications [ 1...

View Articletitled, Physics-Guided Long Short-Term Memory Networks for Emission Prediction in Laser Powder Bed Fusion

Topics: Design, Emissions, Lasers, Physics, Additive manufacturing, Pyrometers, Printing, Trains, Heat

Journal Articles

A Novel Diagnostic Tool for Human-Centric Quality Monitoring in Human–Robot Collaboration Manufacturing

Elisa Verna, Stefano Puttero, Gianfranco Genta, Maurizio Galetto

Publisher: ASME

J. Manuf. Sci. Eng. December 2023, 145(12): 121009.

Paper No: MANU-23-1259

https://doi.org/10.1115/1.4063284

Published Online: September 11, 2023

... 08 2023 27 08 2023 11 09 2023 assembly inspection and quality control production systems optimization sensing monitoring and diagnostics Mass production has long been the standard in manufacturing, allowing efficient use of available resources and a corresponding...

View Articletitled, A Novel Diagnostic Tool for Human-Centric Quality Monitoring in Human–Robot Collaboration Manufacturing

Topics: Manufacturing, Stress, Human-robot collaboration

Journal Articles

Sequential Modeling and Knowledge Source Integration for Identifying the Structure of a Bayesian Network for Multistage Process Monitoring and Diagnosis

Partha Protim Mondal, Placid Matthew Ferreira, Shiv Gopal Kapoor, Patrick N. Bless

Publisher: ASME

J. Manuf. Sci. Eng. January 2024, 146(1): 011005.

Paper No: MANU-23-1299

https://doi.org/10.1115/1.4063235

Published Online: September 11, 2023

... monitoring and diagnostics Multistage process modeling for fault diagnosis is challenging because of the interconnection of sequential stages where the outputs of one stage become the inputs of the succeeding stages and cause the errors to confound. Due to this stochastic nature of multistage process...

View Articletitled, Sequential Modeling and Knowledge Source Integration for Identifying the Structure of a Bayesian Network for Multistage Process Monitoring and Diagnosis

Topics: Bayesian network, Modeling, Failure mode and effects analysis

Journal Articles

A Brief History of the Progress of Laser Powder Bed Fusion of Metals in Europe

Richard Rothfelder, Florian Nahr, Lova Chechik, Dominic Bartels, Michael Schmidt

Publisher: ASME

J. Manuf. Sci. Eng. October 2023, 145(10): 100801.

Paper No: MANU-23-1076

https://doi.org/10.1115/1.4062788

Published Online: August 3, 2023

... Email: lova.chechik@lpt.uni-erlangen.de Email: dominic.bartels@lpt.uni-erlangen.de Email: michael.schmidt@lpt.uni-erlangen.de 01 02 2023 10 05 2023 10 05 2023 03 08 2023 additive manufacturing laser processes process engineering sensing monitoring...

View Articletitled, A Brief History of the Progress of Laser Powder Bed Fusion of Metals in Europe

Topics: Lasers, Machinery, Additive manufacturing, Temperature

Journal Articles

Multiresolution Quality Inspection of Layerwise Builds for Metal 3D Printer and Scanner

Hui Yang, Joni Reijonen, Alejandro Revuelta

Publisher: ASME

J. Manuf. Sci. Eng. October 2023, 145(10): 101004.

Paper No: MANU-22-1587

https://doi.org/10.1115/1.4057013

Published Online: June 7, 2023

...: joni.reijonen@vtt.fi Email: Alejandro.Revuelta@vtt.fi 02 11 2022 19 02 2023 23 02 2023 07 06 2023 multiresolution analysis quality inspection wavelet transformation additive manufacturing control and automation sensing monitoring and diagnostics Additive...

View Articletitled, Multiresolution Quality Inspection of Layerwise Builds for Metal 3D Printer and Scanner

Topics: Additive manufacturing, Computerized tomography, Imaging, Inspection, Lasers, Machinery, Sensors, Wavelets, Modeling, Retrofitting

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Characterizing Shunting Effects on Nugget Quality and Joint Strength in Sequential Spot Welds for Automotive Applications

In-Process Monitoring of Part Quality in Laser Powder Bed Fusion Additive Manufacturing Process Using Acoustic Emission Sensors

Adaptive Online Continual Learning for In-Situ Quality Prediction in Manufacturing Processes

Prediction of Thermally Induced Axial Displacement of Mechanical Components Using LightGBM

Modeling of Ball Screw–Nut Interface Stiffness With Wear (Ball Screw Wear Dynamics)

Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing

In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning

Bridging Data Gaps: A Federated Learning Approach to Heat Emission Prediction in Laser Powder Bed Fusion

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part I: Modeling of Geometric Faults

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part II: Dynamic Simulation and Validation

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection

AFSD-Nets: A Physics-Informed Machine Learning Model for Predicting the Temperature Evolution During Additive Friction Stir Deposition

Nondestructive Surface Profiling and Inspection by Using a Single Unit Magneto-Eddy-Current Sensor

Effect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach

Effects of Laser-Powder Alignment on Clad Dimension and Melt Pool Temperature in Directed Energy Deposition

Physics-Guided Long Short-Term Memory Networks for Emission Prediction in Laser Powder Bed Fusion

A Novel Diagnostic Tool for Human-Centric Quality Monitoring in Human–Robot Collaboration Manufacturing

Sequential Modeling and Knowledge Source Integration for Identifying the Structure of a Bayesian Network for Multistage Process Monitoring and Diagnosis

A Brief History of the Progress of Laser Powder Bed Fusion of Metals in Europe

Multiresolution Quality Inspection of Layerwise Builds for Metal 3D Printer and Scanner

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