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

Process Damping Identification Using Bayesian Learning and Time Domain Simulation

Aaron Cornelius, Jaydeep Karandikar, Chris Tyler, Tony Schmitz

J. Manuf. Sci. Eng. August 2024, 146(8): 081002. doi: https://doi.org/10.1115/1.4064832

Abstracts

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

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

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

J. Manuf. Sci. Eng. August 2024, 146(8): 081003. doi: https://doi.org/10.1115/1.4065178

Abstracts

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

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

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

Chung-Yu Tai, Yusuf Altintas

J. Manuf. Sci. Eng. August 2024, 146(8): 081004. doi: https://doi.org/10.1115/1.4065062

Abstracts

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

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Topics: Bearings , Vibration

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

Chung-Yu Tai, Yusuf Altintas

J. Manuf. Sci. Eng. August 2024, 146(8): 081005. doi: https://doi.org/10.1115/1.4065221

Abstracts

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

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Topics: Bearings , Vibration , Stiffness

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

Chung-Yu Tai, Yusuf Altintas

J. Manuf. Sci. Eng. August 2024, 146(8): 081006. doi: https://doi.org/10.1115/1.4065227

Abstracts

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

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

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

J. Manuf. Sci. Eng. August 2024, 146(8): 081007. doi: https://doi.org/10.1115/1.4065416

Abstracts

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

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

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

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

J. Manuf. Sci. Eng. August 2024, 146(8): 081008. doi: https://doi.org/10.1115/1.4065457

Abstracts

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

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

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Special Issue: Physics-Informed Machine Learning for Advanced Manufacturing

Guest Editorial

Special Issue: Physics-Informed Machine Learning for Advanced Manufacturing

Research Papers

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

Process Damping Identification Using Bayesian Learning and Time Domain Simulation

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

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

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

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