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Journal Articles

A New Validation Metric for Models With Correlated Responses Using Limited Experimental and Simulation Data

Weifei Hu, Tongzhou Zhang, Zhenyu Liu, Jin Cheng, Yukun Lou, Xiaoyu Deng, Jianrong Tan

J. Mech. Des. November 2022, 144(11): 111702.

Paper No: MD-22-1115

DOI: https://doi.org/10.1115/1.4054877

Published Online: July 22, 2022

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Topics: Model validation, Simulation, Uncertainty, Ultrasonic welding, Simulation models

Journal Articles

Estimation of Small Failure Probability Based on Adaptive Subset Simulation and Deep Neural Network

Xiang Peng, Yujie Shao, Weifei Hu, Jiquan Li, Zhenyu Liu, Shaofei Jiang

J. Mech. Des. October 2022, 144(10): 101704.

Paper No: MD-22-1030

DOI: https://doi.org/10.1115/1.4054807

Published Online: July 1, 2022

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Topics: Failure, Probability, Simulation

Journal Articles

Topology Optimization on Complex Surfaces Based on the Moving Morphable Component Method and Computational Conformal Mapping

Wendong Huo, Chang Liu, Zongliang Du, Xudong Jiang, Zhenyu Liu, Xu Guo

J. Appl. Mech. May 2022, 89(5): 051008.

Paper No: JAM-22-1014

DOI: https://doi.org/10.1115/1.4053727

Published Online: March 4, 2022

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Topics: Optimization, Shells, Topology, Design, Parametrization

Journal Articles

Robust Topology Optimization of Graphene Platelets Reinforced Functionally Graded Materials Considering Hybrid Bounded Uncertainties

Jin Cheng, Wei Lu, Yibin Lou, Weifei Hu, Zhenyu Liu, Jianrong Tan

J. Mech. Des. May 2022, 144(5): 051704.

Paper No: MD-21-1500

DOI: https://doi.org/10.1115/1.4053045

Published Online: December 6, 2021

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Topics: Functionally graded materials, Graphene, Optimization, Platelets, Stress, Topology, Uncertainty, Design, Materials properties

Proceedings Papers

Deep Reinforcement Learning Enhanced Convolutional Neural Networks for Robotic Grasping

Jianhao Fang, Weifei Hu, Chuxuan Wang, Zhenyu Liu, Jianrong Tan

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A036, August 17–19, 2021

Paper No: DETC2021-67225

DOI: https://doi.org/10.1115/DETC2021-67225

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Topics: Artificial neural networks, Grasping, Reinforcement learning

Proceedings Papers

A New Robot Path Planning Method Based on LSTM Neural Network and Rapidly-Exploring Random Tree Algorithm

Weifei Hu, Feng Tang, Zhenyu Liu, Jianrong Tan

Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A006, August 17–19, 2021

Paper No: DETC2021-71234

DOI: https://doi.org/10.1115/DETC2021-71234

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Topics: Algorithms, Artificial neural networks, Path planning, Robots

Proceedings Papers

A CapsNet-Based Fault Diagnosis Method for a Digital Twin of a Wind Turbine Gearbox

Hao Zhao, Weifei Hu, Zhenyu Liu, Jianrong Tan

Proc. ASME. POWER2021, ASME 2021 Power Conference, V001T09A016, July 20–22, 2021

Paper No: POWER2021-66029

DOI: https://doi.org/10.1115/POWER2021-66029

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Topics: Fault diagnosis, Mechanical drives, Wind turbines

Proceedings Papers

Slip Gas Flow and Heat Transfer in Confined Porous Media With Different Shape Cylinders

Ammar Tariq, Zhenyu Liu

Proc. ASME. HT2021, ASME 2021 Heat Transfer Summer Conference, V001T05A004, June 16–18, 2021

Paper No: HT2021-63408

DOI: https://doi.org/10.1115/HT2021-63408

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Topics: Cylinders, Gas flow, Heat transfer, Lattice Boltzmann methods, Permeability, Porous materials, Shapes

Proceedings Papers

Flow Boiling of Deionized Water in Ultrahigh-Aspect-Ratio Microchannel Heat Sink

Peilin Cui, Zhenyu Liu

Proc. ASME. HT2021, ASME 2021 Heat Transfer Summer Conference, V001T08A002, June 16–18, 2021

Paper No: HT2021-62094

DOI: https://doi.org/10.1115/HT2021-62094

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Topics: Boiling, Bubbles, Flow (Dynamics), Heat sinks, Microchannels, Water

Proceedings Papers

Enhanced Mechanism of Water Evaporation Through Nanoporous Membrane

Runkeng Liu, Zhenyu Liu

Proc. ASME. HT2021, ASME 2021 Heat Transfer Summer Conference, V001T09A001, June 16–18, 2021

Paper No: HT2021-61719

DOI: https://doi.org/10.1115/HT2021-61719

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Topics: Evaporation, Graphene, Membranes, Water

Proceedings Papers

Study of Boiling Heat Transfer on Heterogeneous Wetting Surface With MD Simulation

Zeyu Liu, Runkeng Liu, Peng Li, Anyi Xu, Zhenyu Liu

Proc. ASME. HT2021, ASME 2021 Heat Transfer Summer Conference, V001T08A005, June 16–18, 2021

Paper No: HT2021-63363

DOI: https://doi.org/10.1115/HT2021-63363

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Topics: Boiling, Bubbles, Heat transfer, Molecular dynamics simulation, Wetting

Journal Articles

Determination Method of Elasto-Plastic Correction Factor of TA16 Titanium Alloy Based on RCC-M Code Methodology

Xuejiao Shao, Juan Du, Liping Zhang, Hai Xie, Jun Tian, Kaikai Shi, Ying Zhang, Zhenyu Liu

J. Pressure Vessel Technol. October 2021, 143(5): 054503.

Paper No: PVT-20-1153

DOI: https://doi.org/10.1115/1.4049708

Published Online: April 9, 2021

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Topics: Constitutive equations, Fatigue analysis, Nitrogen, Stress, Titanium alloys, Stainless steel, Hardening

Proceedings Papers

Experimental Study on Flow Boiling of HFE-7100 in Wavy Copper Microchannels

Peilin Cui, Zhenyu Liu

Proc. ASME. IMECE2020, Volume 11: Heat Transfer and Thermal Engineering, V011T11A039, November 16–19, 2020

Paper No: IMECE2020-24431

DOI: https://doi.org/10.1115/IMECE2020-24431

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Topics: Boiling, Copper, Flow (Dynamics), Microchannels, Nucleate boiling

Journal Articles

Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks

Weifei Hu, Yihan He, Zhenyu Liu, Jianrong Tan, Ming Yang, Jiancheng Chen

J. Mech. Des. May 2021, 143(5): 051705.

Paper No: MD-20-1093

DOI: https://doi.org/10.1115/1.4048414

Published Online: November 17, 2020

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Topics: Artificial neural networks, Time series, Wind velocity, Waves

Proceedings Papers

A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin

Weifei Hu, Yihan He, Zhenyu Liu, Jianrong Tan, Ming Yang, Jiancheng Chen

Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T08A009, August 4–5, 2020

Paper No: POWER2020-16500

DOI: https://doi.org/10.1115/POWER2020-16500

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Topics: Artificial neural networks, Optimization, Time series, Wind velocity

Proceedings Papers

Wind Turbine Blade Coating Fatigue Induced by Raindrop Impact

Weifei Hu, Weiyi Chen, Xiaobo Wang, Zhenyu Liu, Jianrong Tan, Yeqing Wang

Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T08A010, August 4–5, 2020

Paper No: POWER2020-16510

DOI: https://doi.org/10.1115/POWER2020-16510

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Topics: Blades, Coating processes, Coatings, Fatigue, Fracture (Materials), Texture (Materials), Wind turbines

Proceedings Papers

Micro-Computed Tomography Pore-Scale Study on Natural Convection in a Cubic Cavity Filled With Complex Porous Medium

Xu Wang, Peng Li, Anyi Xu, Zhenyu Liu

Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T09A004, July 13–15, 2020

Paper No: HT2020-9025

DOI: https://doi.org/10.1115/HT2020-9025

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Topics: Cavities, Natural convection, Porous materials

Proceedings Papers

Effect of Temperature on Velocity Profiles of Ions and Water Molecules in Charged Nanotubes

Yu Wang, Zhenyu Liu

Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T08A001, July 13–15, 2020

Paper No: HT2020-9026

DOI: https://doi.org/10.1115/HT2020-9026

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Topics: Electroosmosis, Ions, Nanotubes, Temperature, Water, Flow (Dynamics), Fluids, Ion migration, Molecular dynamics simulation, Carbon nanotubes

Journal Articles

Novel Performance-Oriented Tolerance Design Method Based on Locally Inferred Sensitivity Analysis and Improved Polynomial Chaos Expansion

Guodong Sa, Zhenyu Liu, Chan Qiu, Xiang Peng, Jianrong Tan

J. Mech. Des. February 2021, 143(2): 022001.

Paper No: MD-19-1499

DOI: https://doi.org/10.1115/1.4047683

Published Online: August 18, 2020

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Topics: Chaos, Polynomials, Sensitivity analysis, Design methodology, Errors, Design, Modeling

Journal Articles

A Correlation for Nusselt Number of Slip Gas Flow in Confined Porous Media

Ammar Tariq, Peng Li, Anyi Xu, Zhenyu Liu

J. Heat Transfer. September 2020, 142(9): 092702.

Paper No: HT-19-1694

DOI: https://doi.org/10.1115/1.4047514

Published Online: July 31, 2020

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Topics: Flow (Dynamics), Gas flow, Heat transfer, Lattice Boltzmann methods, Porosity, Porous materials, Temperature, Simulation, Relaxation (Physics), Slip flow

Journal citation

NARROW

A New Validation Metric for Models With Correlated Responses Using Limited Experimental and Simulation Data

Estimation of Small Failure Probability Based on Adaptive Subset Simulation and Deep Neural Network

Topology Optimization on Complex Surfaces Based on the Moving Morphable Component Method and Computational Conformal Mapping

Robust Topology Optimization of Graphene Platelets Reinforced Functionally Graded Materials Considering Hybrid Bounded Uncertainties

Deep Reinforcement Learning Enhanced Convolutional Neural Networks for Robotic Grasping

A New Robot Path Planning Method Based on LSTM Neural Network and Rapidly-Exploring Random Tree Algorithm

A CapsNet-Based Fault Diagnosis Method for a Digital Twin of a Wind Turbine Gearbox

Slip Gas Flow and Heat Transfer in Confined Porous Media With Different Shape Cylinders

Flow Boiling of Deionized Water in Ultrahigh-Aspect-Ratio Microchannel Heat Sink

Enhanced Mechanism of Water Evaporation Through Nanoporous Membrane

Study of Boiling Heat Transfer on Heterogeneous Wetting Surface With MD Simulation

Determination Method of Elasto-Plastic Correction Factor of TA16 Titanium Alloy Based on RCC-M Code Methodology

Experimental Study on Flow Boiling of HFE-7100 in Wavy Copper Microchannels

Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks

A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin

Wind Turbine Blade Coating Fatigue Induced by Raindrop Impact

Micro-Computed Tomography Pore-Scale Study on Natural Convection in a Cubic Cavity Filled With Complex Porous Medium

Effect of Temperature on Velocity Profiles of Ions and Water Molecules in Charged Nanotubes

Novel Performance-Oriented Tolerance Design Method Based on Locally Inferred Sensitivity Analysis and Improved Polynomial Chaos Expansion

A Correlation for Nusselt Number of Slip Gas Flow in Confined Porous Media

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