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Journal Articles

Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition

Christian Zamiela, Ryan Stokes, Wenmeng Tian, Haley Doude, Matthew W. Priddy, Linkan Bian

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081007.

Paper No: MANU-23-1769

https://doi.org/10.1115/1.4065416

Published Online: May 21, 2024

View Article titled, Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition

Topics: Deformation, Modeling, Physics, Surface deformation, Approximation, Heat flux, Wire, Heat, Additive manufacturing, Sensors

Journal Articles

Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics

R. Sharma, Y. B. Guo, M. Raissi, W. Grace Guo

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081008.

Paper No: MANU-23-1729

https://doi.org/10.1115/1.4065457

Published Online: May 21, 2024

View Article titled, Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics

Topics: Boundary-value problems, Dynamics (Mechanics), Machine learning, Physics, Temperature, Pressure, Simulation

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

View Article titled, 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

View Article titled, 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

View Article titled, 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

View Article titled, 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

Process Damping Identification Using Bayesian Learning and Time Domain Simulation

Aaron Cornelius, Jaydeep Karandikar, Chris Tyler, Tony Schmitz

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081002.

Paper No: MANU-23-1431

https://doi.org/10.1115/1.4064832

Published Online: April 24, 2024

View Article titled, Process Damping Identification Using Bayesian Learning and Time Domain Simulation

Topics: Cutting, Damping, Simulation, Stability, Errors, Machining

Journal Articles

A Novel Physics-Based Model for Predicting Melt Pool Dimensions in Laser Powder Bed Fusion Process

Mohammad Parsazadeh, Hadiseh Ebrahimi, Mohammadmehdi Shahzamanian Sichani, Narendra Dahotre

Publisher: ASME

J. Manuf. Sci. Eng. August 2024, 146(8): 081001.

Paper No: MANU-23-1691

https://doi.org/10.1115/1.4065224

Published Online: April 24, 2024

View Article titled, A Novel Physics-Based Model for Predicting Melt Pool Dimensions in Laser Powder Bed Fusion Process

Topics: Convection, Dimensionless numbers, Dimensions, Heat conduction, Heat transfer, Lasers, Melting, Physics, Materials properties, Manufacturing

Journal citation

NARROW

Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition

Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics

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

Process Damping Identification Using Bayesian Learning and Time Domain Simulation

A Novel Physics-Based Model for Predicting Melt Pool Dimensions in Laser Powder Bed Fusion Process

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