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Journal Articles

Advancing Vacuum Carburizing Simulation: Calibration and Implementation of a Carbon-level Dependent Diffusion Model for AISI 9310 Steel

Accepted Manuscript
Dong Xu, Jeongho Kim, Lesley Frame, Jiong Tang
Journal: Journal of Engineering Materials and Technology
Publisher: ASME
Article Type: Research Papers
J. Eng. Mater. Technol.
Paper No: MATS-24-1231
https://doi.org/10.1115/1.4068282
Published Online: March 21, 2025
View Article titled, Advancing Vacuum Carburizing Simulation: Calibration and Implementation of a Carbon-level Dependent Diffusion Model for AISI 9310 Steel
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Topics: Calibration, Carbon, Carburization, Diffusion (Physics), Simulation, Steel, Vacuum, Alloy steel, Finite element analysis, Chemical reactions
Proceedings Papers

Unveiling Structural Integrity Through Data Driven Reconstruction

Yang Zhang, Jiong Tang
Proc. ASME. IMECE2024, Volume 5: Dynamics, Vibration, and Control, V005T07A060, November 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2024-145681
https://doi.org/10.1115/IMECE2024-145681
View Paper titled, Unveiling Structural Integrity Through Data Driven Reconstruction
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Topics: Damage, Pareto optimization, Sensors, Structural health monitoring, Structural response analysis, Vibration
Proceedings Papers

A Finite Element Analysis-Based Digital Twin for Investigating the Mechanical Behavior of Ti–6Al–4V at High and Moderate Temperatures

Dong Xu, Lesley D. Frame, Jeongho Kim, Jiong Tang
Proc. ASME. IMECE2024, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A021, November 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2024-145024
https://doi.org/10.1115/IMECE2024-145024
View Paper titled, A Finite Element Analysis-Based Digital Twin for Investigating the Mechanical Behavior of Ti–6Al–4V at High and Moderate Temperatures
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Topics: Digital twin, Finite element analysis, Flow (Dynamics), Mechanical behavior, Stress, Temperature
Proceedings Papers

Leveraging Physics-Informed Transformers for Advanced Signal Compression and Reconstruction in Machinery Fault Diagnosis

Qianyu Zhou, Jiong Tang
Proc. ASME. IMECE2024, Volume 2: Advanced Manufacturing, V002T03A023, November 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2024-145617
https://doi.org/10.1115/IMECE2024-145617
View Paper titled, Leveraging Physics-Informed Transformers for Advanced Signal Compression and Reconstruction in Machinery Fault Diagnosis
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Topics: Compression, Fault diagnosis, Machinery, Physics, Signals
Journal Articles

Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems

Zhou Kai, Qianyu Zhou, Jiong Tang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011106.
Paper No: RISK-24-1059
https://doi.org/10.1115/1.4067001
Published Online: November 27, 2024
View Article titled, Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems
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Topics: Convolutional neural networks, Deep learning, Fault diagnosis, Gears, Machinery, Noise (Sound), Testing, Uncertainty, Vibration, Probability
Journal Articles

Piezoelectric Impedance-Based Structural Damage Identification Empowered With Tunable Circuitry Integration and Multi-Objective Optimization-Based Inverse Analysis

Yang Zhang, Joshua Dupont, Ting Wang, Jiong Tang
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. October 2024, 146(5): 051003.
Paper No: VIB-24-1126
https://doi.org/10.1115/1.4066311
Published Online: November 21, 2024
View Article titled, Piezoelectric Impedance-Based Structural Damage Identification Empowered With Tunable Circuitry Integration and Multi-Objective Optimization-Based Inverse Analysis
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Topics: Damage, Mechanical admittance, Pareto optimization, Algorithms
Proceedings Papers

Model Updating of Constitutive Relation of Ti64 Alloy Based on Gleeble Testing

Dong Xu, Lesley D. Frame, Jeongho Kim, Jiong Tang
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A007, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143769
https://doi.org/10.1115/DETC2024-143769
View Paper titled, Model Updating of Constitutive Relation of Ti64 Alloy Based on Gleeble Testing
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Topics: Alloys, Finite element analysis, Testing
Proceedings Papers

Spatially-Aware Milling Surface Flatness Prediction Through Physics-Based Graph Neural Network

Qianyu Zhou, Jeongho Kim, Jiong Tang
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A030, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143787
https://doi.org/10.1115/DETC2024-143787
View Paper titled, Spatially-Aware Milling Surface Flatness Prediction Through Physics-Based Graph Neural Network
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Topics: Aluminum, Graph neural networks, Milling, Physics
Proceedings Papers

Multi-Fidelity Sensing and Digital Twin System for Automated Monitoring in Cooperative Robotic Additive Manufacturing

Sean Rescsanski, Tyler Nardi, Vihaan Shah, Jiong Tang, Farhad Imani
Proc. ASME. ISFA2024, 2024 International Symposium on Flexible Automation, V001T01A003, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ISFA2024-141324
https://doi.org/10.1115/ISFA2024-141324
View Paper titled, Multi-Fidelity Sensing and Digital Twin System for Automated Monitoring in Cooperative Robotic Additive Manufacturing
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Topics: Additive manufacturing, Digital twin, Robotics
Proceedings Papers

Efficient Fault Detection in Bearings: Synergizing Transformer Adaptations With Convolutional Kernel

Qianyu Zhou, Jiong Tang
Proc. ASME. ISFA2024, 2024 International Symposium on Flexible Automation, V001T08A008, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ISFA2024-141122
https://doi.org/10.1115/ISFA2024-141122
View Paper titled, Efficient Fault Detection in Bearings: Synergizing Transformer Adaptations With Convolutional Kernel
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Topics: Bearings, Deep learning, Fault diagnosis, Flaw detection, Rockets
Proceedings Papers

Synchronous Averaging Preprocessing of Gearbox Vibration Signals: A Comparison of Classification Performance

David Javadian, Edward Diehl, Jiong Tang
Proc. ASME. ISFA2024, 2024 International Symposium on Flexible Automation, V001T08A007, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ISFA2024-141116
https://doi.org/10.1115/ISFA2024-141116
View Paper titled, Synchronous Averaging Preprocessing of Gearbox Vibration Signals: A Comparison of Classification Performance
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Topics: Convolutional neural networks, Mechanical drives, Signals, Vibration, Computer simulation, Gears, Uncertainty
Journal Articles

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Sean Rescsanski, Vihaan Shah, Jiong Tang, Farhad Imani
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111006.
Paper No: JCISE-23-1386
https://doi.org/10.1115/1.4065525
Published Online: July 22, 2024
View Article titled, Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps
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Topics: Additive manufacturing, Flaw detection, Manufacturing, Random-access memory, Robotics, Simulation, Robots
Proceedings Papers

Identification of Carbon Diffusivity of S9310 Utilizing Correlated Numerical and Experimental Investigations

Dong Xu, Jeongho Kim, Lesley D. Frame, Jiong Tang
Proc. ASME. IMECE2023, Volume 4: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V004T04A025, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-113168
https://doi.org/10.1115/IMECE2023-113168
View Paper titled, Identification of Carbon Diffusivity of S9310 Utilizing Correlated Numerical and Experimental Investigations
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Topics: Carbon, Carburization, Diffusion (Physics), Finite element analysis, Optimization, Vacuum
Proceedings Papers

Finite Element Simulation of Gleeble Testing Toward Thermomechanical Analysis of Alloy Materials

Dong Xu, Kevin J. Zhang, Lesley D. Frame, Jeongho Kim, Jiong Tang
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A015, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115184
https://doi.org/10.1115/DETC2023-115184
View Paper titled, Finite Element Simulation of Gleeble Testing Toward Thermomechanical Analysis of Alloy Materials
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Topics: Alloys, Finite element analysis, Simulation, Testing, Thermomechanics
Proceedings Papers

Gearbox Fault Detection via Physics-Informed Parallel Deep Learning Model Architecture

Qianyu Zhou, Jiong Tang
Proc. ASME. IDETC-CIE2023, Volume 11: 2023 International Power Transmission and Gearing Conference (PTG), V011T11A018, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116599
https://doi.org/10.1115/DETC2023-116599
View Paper titled, Gearbox Fault Detection via Physics-Informed Parallel Deep Learning Model Architecture
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Topics: Flaw detection, Gears, Mechanical drives, Physics, Wavelet transforms
Proceedings Papers

Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection

Kai Zhou, Yang Zhang, Jiong Tang
Proc. ASME. IDETC-CIE2023, Volume 12: 35th Conference on Mechanical Vibration and Sound (VIB), V012T12A021, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-112654
https://doi.org/10.1115/DETC2023-112654
View Paper titled, Semi-Supervised Autoencoder With Joint Loss Learning for Bearing Fault Detection
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Topics: Bearings, Flaw detection, Rolling bearings
Proceedings Papers

Part Surface Inspection Through Semi-Supervised Learning to Overcome Limited Data Challenge

Qianyu Zhou, Jiong Tang
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A008, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105105
https://doi.org/10.1115/MSEC2023-105105
View Paper titled, Part Surface Inspection Through Semi-Supervised Learning to Overcome Limited Data Challenge
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Topics: Geometry, Inspection
Proceedings Papers

Memetic Optimizer for Structural Damage Identification Using Electromechanical Admittance

Yang Zhang, Kai Zhou, Jiong Tang
Proc. ASME. IDETC-CIE2022, Volume 10: 34th Conference on Mechanical Vibration and Sound (VIB), V010T10A023, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91039
https://doi.org/10.1115/DETC2022-91039
View Paper titled, Memetic Optimizer for Structural Damage Identification Using Electromechanical Admittance
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Topics: Damage, Mechanical admittance, Algorithms, Excitation, Optimization, Pareto optimization, Particle swarm optimization, Particulate matter, Performance, Piezoelectric transducers
Proceedings Papers

Parametric Analysis of Negative Capacitance Circuit for Enhanced Vibration Suppression Through Piezoelectric Shunt

Ting Wang, Jiong Tang
Proc. ASME. IDETC-CIE2022, Volume 10: 34th Conference on Mechanical Vibration and Sound (VIB), V010T10A021, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90616
https://doi.org/10.1115/DETC2022-90616
View Paper titled, Parametric Analysis of Negative Capacitance Circuit for Enhanced Vibration Suppression Through Piezoelectric Shunt
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Topics: Capacitance, Circuits, Piezoelectric transducers, Vibration suppression
Journal Articles

Frequency Response-Based Uncertainty Analysis of Vibration System Utilizing Multiple Response Gaussian Process

Wangbai Pan, Guoan Tang, Jiong Tang
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research-Article
J. Vib. Acoust. October 2019, 141(5): 051010.
Paper No: VIB-18-1166
https://doi.org/10.1115/1.4043609
Published Online: June 5, 2019
View Article titled, Frequency Response-Based Uncertainty Analysis of Vibration System Utilizing Multiple Response Gaussian Process
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Topics: Fittings, Frequency response, Uncertainty, Uncertainty analysis, Vibration equipment