Heat Transfer

Heat transfer research focuses on accurately predicting and controlling the movement of thermal energy in various systems, aiming to improve efficiency and safety in diverse applications. Current research emphasizes the use of machine learning, particularly deep learning architectures like convolutional neural networks, recurrent neural networks (LSTMs), and physics-informed neural networks, to create surrogate models for complex heat transfer phenomena, often surpassing the accuracy and efficiency of traditional numerical methods. These data-driven approaches are applied across numerous domains, including microchannel heat exchangers, high-energy density physics, and building energy efficiency, offering significant potential for optimizing designs and improving predictions in engineering and scientific contexts. The development of explainable AI methods is also a key focus, enhancing the interpretability and trustworthiness of these powerful predictive models.

Papers

October 28, 2024

Efficiency Optimization of a Two-link Planar Robotic Arm
Meysam Fathizadeh, Hanz Richter
Robotic Arm Energy Efficiency Enhancing Efficiency Thermodynamic Integration Heat Transfer Serial Robot Dynamic Motion

September 18, 2024

Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer
Andrés Cremades, Sergio Hoyas, Ricardo Vinuesa
Narrative Review Explainable AI Fluid Dynamic Shapley Additive Explanation Attribution Score Heat Transfer Additive Feature Attribution

May 7, 2024

High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators
Joseph Farmer, Ethan Smith, William Bennett, Ryan McClarren
Diffusion Explainer Fourier Neural Operator Numerical Solver Radiative Transfer Marshak Wave Heat Transfer

February 16, 2024

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani, Giovanni Stabile, Gianluigi Rozza
Surrogate Modeling Heat Transfer Jet Classification

November 24, 2023

Deep convolutional encoder-decoder hierarchical neural networks for conjugate heat transfer surrogate modeling
Takiah Ebbs-Picken, David A. Romero, Carlos M. Da Silva, Cristina H. Amon
Surrogate Modeling Deep Learning Based Surrogate Heat Transfer

November 14, 2023

Data-driven building energy efficiency prediction using physics-informed neural networks
Vasilis Michalakopoulos, Sotiris Pelekis, Giorgos Kormpakis, Vagelis Karakolis, Spiros Mouzakitis, Dimitris Askounis
Physic Informed Neural Network Data Driven Energy Efficiency Heat Transfer

September 14, 2023

Optimally Controlling the Timing of Energy Transfer in Elastic Joints: Experimental Validation of the Bi-Stiffness Actuation Concept
Edmundo Pozo Fortunić, Mehmet C. Yildirim, Dennis Ossadnik, Abdalla Swikir, Saeed Abdolshah, Sami Haddadin
Experimental Validation Timing Analysis Compliant Mechanism Series Elastic Actuator Heat Transfer Variable Stiffness Actuator Stiffness Actuation

May 28, 2023

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
Tullio Traverso, Francesco Coletti, Luca Magri, Tassos G. Karayiannis, Omar K. Matar
Human Prediction New Machine Constructive Approach High Fidelity Multiphase Flow Multi Output Gaussian Process Heat Transfer Microfluidic Device

May 4, 2023

Critical heat flux diagnosis using conditional generative adversarial networks
UngJin Na, Moonhee Choi, HangJin Jo
Conditional Generative Adversarial Network Thermal Image Heat Transfer Heat Flux

August 16, 2022

Deep convolutional surrogates and degrees of freedom in thermal design
Hadi Keramati, Feridun Hamdullahpur
Deep Learning Computational Fluid Dynamic Thermal Management Different Degree Thermal Simulation Freedom Matter Dorsal Fin Heat Transfer

April 12, 2022

January 25, 2022

Using Deep Reinforcement Learning for Zero Defect Smart Forging
Yunpeng Ma, Andreas Kassler, Bestoun S. Ahmed, Pavel Krakhmalev, Andreas Thore, Arash Toyser, Hans Lindback
Deep Reinforcement Learning Digital Twin Decomposed Automation Correction Heat Transfer

January 21, 2022

Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks
Hao Ma, Yang Sun, Mario Chiarelli
Neural Network Particle Swarm Optimization Optimal Layout Thermal Management Heat Transfer

November 10, 2021

Parallel Physics-Informed Neural Networks with Bidirectional Balance
Yuhao Huang
Physic Informed Neural Network Balancing Strategy Temperature Field Heat Transfer

Heat Transfer

Papers

Efficiency Optimization of a Two-link Planar Robotic Arm

Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer

High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface

Deep convolutional encoder-decoder hierarchical neural networks for conjugate heat transfer surrogate modeling

Data-driven building energy efficiency prediction using physics-informed neural networks

Optimally Controlling the Timing of Energy Transfer in Elastic Joints: Experimental Validation of the Bi-Stiffness Actuation Concept

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels

Critical heat flux diagnosis using conditional generative adversarial networks

Deep convolutional surrogates and degrees of freedom in thermal design

Comparative analysis of machine learning and numerical modeling for combined heat transfer in Polymethylmethacrylate

Compact Model Training by Low-Rank Projection with Energy Transfer

Using Deep Reinforcement Learning for Zero Defect Smart Forging

Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks

Parallel Physics-Informed Neural Networks with Bidirectional Balance