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Journal Articles

Dimensional Analysis in Error Reduction for Prediction of Nucleate Boiling Heat Flux by Artificial Neural Networks for Limited Dataset

Sandipan Banerjee, Mark Sussman, Yongsheng Lian

J. Heat Mass Transfer. June 2023, 145(6): 061602.

Paper No: HT-22-1383

DOI: https://doi.org/10.1115/1.4056539

Published Online: February 6, 2023

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Topics: Artificial neural networks, Dimensional analysis, Gravity (Force), Heat flux, Nucleate boiling, Machine learning, Errors, Boiling, Subcooling

Includes: Supplementary data

Journal Articles

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

Nithin Mallya, Pierre Baqué, Pierre Yvernay, Andrea Pozzetti, Pascal Fua, Sophia Haussener

J. Heat Mass Transfer. May 2023, 145(5): 052902.

Paper No: HT-22-1554

DOI: https://doi.org/10.1115/1.4056663

Published Online: February 3, 2023

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Topics: Artificial neural networks, Latent heat, Storage, Simulation, Scalars, Heat transfer, Computational fluid dynamics, Thermal energy storage, High temperature

Journal Articles

Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence

I. Perez-Raya, S. G. Kandlikar

J. Heat Mass Transfer. March 2023, 145(3): 031201.

Paper No: HT-22-1433

DOI: https://doi.org/10.1115/1.4055347

Published Online: December 9, 2022

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Topics: Artificial neural networks, Cancer, Computational fluid dynamics, Modeling, Physics, Temperature, Thermal conductivity, Tumors, Biological tissues, Simulation

Journal Articles

An Expert Model Based on Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids

Bivas Bhaumik, Satyasaran Changdar, Soumen De

J. Heat Transfer. October 2022, 144(10): 103501.

Paper No: HT-21-1791

DOI: https://doi.org/10.1115/1.4055116

Published Online: August 18, 2022

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Topics: Artificial neural networks, Nanofluids, Physics, Thermal conductivity, Temperature, Nanoparticles, Algorithms, Fluids, Machine learning

Journal Articles

Turbulent Heat Transfer Characteristics of Supercritical Carbon Dioxide for a Vertically Upward Flow in a Pipe Using Computational Fluid Dynamics and Artificial Neural Network

Rajendra Prasad K S, Krishna V, Sachin Bharadwaj M, Babu Rao Ponangi

J. Heat Transfer. January 2022, 144(1): 011802.

Paper No: HT-21-1358

DOI: https://doi.org/10.1115/1.4052687

Published Online: November 22, 2021

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Topics: Artificial neural networks, Computational fluid dynamics, Flow (Dynamics), Pipes, Pressure, Turbulence, Heat transfer coefficients, Heat flux, Modeling, Supercritical carbon dioxide

Includes: Supplementary data

Journal Articles

Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena

Matthew T. Hughes, Girish Kini, Srinivas Garimella

J. Heat Transfer. December 2021, 143(12): 120802.

Paper No: HT-21-1518

DOI: https://doi.org/10.1115/1.4052510

Published Online: October 18, 2021

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Topics: Artificial neural networks, Heat transfer, Machine learning, Modeling, Flow (Dynamics), Algorithms, Physics

Journal Articles

Two-Dimensional Flow Boiling Characteristics With Wettability Surface in Microgap Heat Sink and Heat Transfer Prediction Using Artificial Neural Network

Anwarul Karim, Yoon Jo Kim, Jong-Hoon Kim

J. Heat Transfer. September 2021, 143(9): 091601.

Paper No: HT-20-1752

DOI: https://doi.org/10.1115/1.4051602

Published Online: July 21, 2021

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Topics: Artificial neural networks, Boiling, Flow (Dynamics), Heat sinks, Heat transfer, Heat transfer coefficients, Pressure, Temperature, Heat

Journal Articles

Comparative Study on the Numerical Methods for View Factor Computation for Packed Pebble Beds: Back Propagation Neural Network Methods Versus Monte Carlo Methods

Quan Zou, Nan Gui, Xingtuan Yang, Jiyuan Tu, Shengyao Jiang

J. Heat Transfer. August 2021, 143(8): 083301.

Paper No: HT-20-1523

DOI: https://doi.org/10.1115/1.4051075

Published Online: June 2, 2021

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Topics: Artificial neural networks, Errors, Radiative heat transfer, Temperature

Includes: Supplementary data

Journal Articles

Physics-Informed Neural Networks for Heat Transfer Problems

Shengze Cai, Zhicheng Wang, Sifan Wang, Paris Perdikaris, George Em Karniadakis

J. Heat Mass Transfer. June 2021, 143(6): 060801.

Paper No: HT-21-1083

DOI: https://doi.org/10.1115/1.4050542

Published Online: April 21, 2021

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Topics: Artificial neural networks, Boundary-value problems, Cylinders, Errors, Flow (Dynamics), Forced convection, Heat transfer, Physics, Temperature, Sensors

Journal Articles

Artificial Neural Networks in Radiation Heat Transfer Analysis

Mehran Yarahmadi, J. Robert Mahan, Kevin McFall

J. Heat Transfer. September 2020, 142(9): 092801.

Paper No: HT-20-1056

DOI: https://doi.org/10.1115/1.4047052

Published Online: July 7, 2020

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Topics: Artificial neural networks, Radiation (Physics), Emissivity, Heat transfer

Journal Articles

Thermal Resistance Modeling of Oscillating Heat Pipes for Nanofluids by Artificial Intelligence Approach

M. Malekan, A. Khosravi, H. R. Goshayeshi, M. E. H. Assad, J. J. Garcia Pabon

J. Heat Transfer. July 2019, 141(7): 072402.

Paper No: HT-18-1498

DOI: https://doi.org/10.1115/1.4043569

Published Online: May 14, 2019

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Topics: Artificial intelligence, Artificial neural networks, Feedforward control, Fluids, Heat, Heat pipes, Nanofluids, Thermal resistance, Water, Thermal conductivity

Journal Articles

Numerical Study and Optimization of Corrugation Height and Angle of Attack of Vortex Generator in the Wavy Fin-and-Tube Heat Exchanger

Wei Li, Tariq Amin Khan, Weiyu Tang, W. J. Minkowycz

J. Heat Transfer. November 2018, 140(11): 111801.

Paper No: HT-17-1596

DOI: https://doi.org/10.1115/1.4040609

Published Online: July 23, 2018

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Topics: Artificial neural networks, Fins, Flow (Dynamics), Friction, Generators, Heat exchangers, Heat transfer, Optimization, Temperature, Vortices

Journal Articles

Modeling of Finned-Tube Evaporator Using Neural Network and Response Surface Methodology

Ze-Yu Li, Liang-Liang Shao, Chun-Lu Zhang

J. Heat Transfer. May 2016, 138(5): 051502.

Paper No: HT-15-1090

DOI: https://doi.org/10.1115/1.4032358

Published Online: January 27, 2016

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Topics: Design, Modeling, Response surface methodology, Artificial neural networks, Fittings, Pressure drop

Journal Articles

Modeling of Thermal Cracking Furnaces Via Exergy Analysis Using Hybrid Artificial Neural Network–Genetic Algorithm

M. Alizadeh, S. M. Sadrameli

J. Heat Transfer. April 2016, 138(4): 042801.

Paper No: HT-14-1819

DOI: https://doi.org/10.1115/1.4032171

Published Online: January 20, 2016

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Topics: Artificial neural networks, Cracking (Materials), Exergy, Exergy analysis, Furnaces, Temperature, Modeling, Fracture (Process), Steam

Journal Articles

Conjugate Heat Transfer in Latent Heat Thermal Storage System With Cross Plate Fins

Rajesh Alayil, C. Balaji

J. Heat Transfer. October 2015, 137(10): 102302.

Paper No: HT-14-1347

DOI: https://doi.org/10.1115/1.4030496

Published Online: October 1, 2015

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Topics: Fins, Heat sinks, Heat transfer, Latent heat, Temperature, Composite materials, Artificial neural networks, Computer simulation, Thermal energy storage

Journal Articles

Exergy Prediction Model of a Double Pipe Heat Exchanger Using Metal Oxide Nanofluids and Twisted Tape Based on the Artificial Neural Network Approach and Experimental Results

Mohammad Mmohammadiun, Forough Dashtestani, Mostafa Alizadeh

J. Heat Transfer. January 2016, 138(1): 011801.

Paper No: HT-14-1520

DOI: https://doi.org/10.1115/1.4031073

Published Online: August 11, 2015

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Topics: Artificial neural networks, Exergy, Fluids, Heat exchangers, Heat transfer, Metals, Nanofluids, Pipes, Nanoparticles, Exergy analysis

Journal Articles

Prediction of Two-Phase Heat Transfer Coefficients in a Horizontal Pipe for Different Inclined Positions With Artificial Neural Networks

Najmeh Sobhanifar, Ebrahim Ahmadloo, Sadreddin Azizi

J. Heat Transfer. June 2015, 137(6): 061009.

Paper No: HT-14-1236

DOI: https://doi.org/10.1115/1.4029865

Published Online: June 1, 2015

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Topics: Artificial neural networks, Pipes, Two-phase flow

Journal Articles

Retracted: “Neural Network Methodology for Modeling Heat Transfer in Wake Flow” [ASME Journal of Heat Transfer, 2015, 137(2), p. 022201]

J. Heat Transfer. February 2015, 137(2): 027001.

Paper No: HT-15-1186

DOI: https://doi.org/10.1115/1.4030039

Published Online: February 1, 2015

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Topics: Artificial neural networks, Heat transfer, Modeling, Wakes

Journal Articles

Artificial Neural Network Based Prediction of Heat Transfer From Horizontal Tube Bundles Immersed in Gas–Solid Fluidized Bed of Large Particles

L. V. Kamble, D. R. Pangavhane, T. P. Singh

J. Heat Transfer. January 2015, 137(1): 012901.

Paper No: HT-13-1669

DOI: https://doi.org/10.1115/1.4028645

Published Online: January 1, 2015

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Topics: Artificial neural networks, Fluidized beds, Heat transfer, Heat transfer coefficients, Particulate matter, Modeling, Temperature

Journal Articles

Simultaneous Estimation of Principal Thermal Conductivities of an Anisotropic Composite Medium: An Inverse Analysis

Samarjeet Chanda, C. Balaji, S. P. Venkateshan, Amrit Ambirajan, V. Ramakrishnan

J. Heat Transfer. February 2013, 135(2): 021301.

Paper No: HT-12-1129

DOI: https://doi.org/10.1115/1.4007422

Published Online: January 4, 2013

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Topics: Anisotropy, Artificial neural networks, Composite materials, Electrical conductance, Honeycomb structures, Temperature, Thermal conductivity, Uncertainty, Heat conduction, Heat

Journal citation

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Supplemental Material

Dimensional Analysis in Error Reduction for Prediction of Nucleate Boiling Heat Flux by Artificial Neural Networks for Limited Dataset

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence

An Expert Model Based on Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids

Turbulent Heat Transfer Characteristics of Supercritical Carbon Dioxide for a Vertically Upward Flow in a Pipe Using Computational Fluid Dynamics and Artificial Neural Network

Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena

Two-Dimensional Flow Boiling Characteristics With Wettability Surface in Microgap Heat Sink and Heat Transfer Prediction Using Artificial Neural Network

Comparative Study on the Numerical Methods for View Factor Computation for Packed Pebble Beds: Back Propagation Neural Network Methods Versus Monte Carlo Methods

Physics-Informed Neural Networks for Heat Transfer Problems

Artificial Neural Networks in Radiation Heat Transfer Analysis

Thermal Resistance Modeling of Oscillating Heat Pipes for Nanofluids by Artificial Intelligence Approach

Numerical Study and Optimization of Corrugation Height and Angle of Attack of Vortex Generator in the Wavy Fin-and-Tube Heat Exchanger

Modeling of Finned-Tube Evaporator Using Neural Network and Response Surface Methodology

Modeling of Thermal Cracking Furnaces Via Exergy Analysis Using Hybrid Artificial Neural Network–Genetic Algorithm

Conjugate Heat Transfer in Latent Heat Thermal Storage System With Cross Plate Fins

Exergy Prediction Model of a Double Pipe Heat Exchanger Using Metal Oxide Nanofluids and Twisted Tape Based on the Artificial Neural Network Approach and Experimental Results

Prediction of Two-Phase Heat Transfer Coefficients in a Horizontal Pipe for Different Inclined Positions With Artificial Neural Networks

Retracted: “Neural Network Methodology for Modeling Heat Transfer in Wake Flow” [ASME Journal of Heat Transfer, 2015, 137(2), p. 022201]

Artificial Neural Network Based Prediction of Heat Transfer From Horizontal Tube Bundles Immersed in Gas–Solid Fluidized Bed of Large Particles

Simultaneous Estimation of Principal Thermal Conductivities of an Anisotropic Composite Medium: An Inverse Analysis

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