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Proceedings Papers

Machine Learning Based Control of Multi-Temperature PCM Thermal Storage Assemblies - A Comparison of On/Off Versus Fully Modulating Valve Control

Alanna Y. Cooney, Van P. Carey
Proc. ASME. HT2022, ASME 2022 Heat Transfer Summer Conference, V001T06A011, July 11–13, 2022
Paper No: HT2022-86174
DOI: https://doi.org/10.1115/HT2022-86174
View Paper titled, Machine Learning Based Control of Multi-Temperature PCM Thermal Storage Assemblies - A Comparison of On/Off Versus Fully Modulating Valve Control
Click here to open pdf in another window PDF for Machine Learning Based Control of Multi-Temperature PCM Thermal Storage Assemblies - A Comparison of On/Off Versus Fully Modulating Valve Control
Topics: Machine learning, Temperature, Thermal energy storage, Valves, Flow (Dynamics), Manufacturing, Artificial neural networks, Optimization, Control equipment, Exergy
Proceedings Papers

Determining Parametric Effects for Droplet Evaporation on Nanoporous Superhydrophillic Surfaces Using Machine Learning Techniques

Emma R. McClure, Van P. Carey
Proc. ASME. HT2021, ASME 2021 Heat Transfer Summer Conference, V001T11A005, June 16–18, 2021
Paper No: HT2021-63618
DOI: https://doi.org/10.1115/HT2021-63618
View Paper titled, Determining Parametric Effects for Droplet Evaporation on Nanoporous Superhydrophillic Surfaces Using Machine Learning Techniques
Click here to open pdf in another window PDF for Determining Parametric Effects for Droplet Evaporation on Nanoporous Superhydrophillic Surfaces Using Machine Learning Techniques
Topics: Drops, Evaporation, Machine learning, Coatings, Metal surfaces, Sprays, Algorithms, Artificial neural networks, Columns (Structural), Cooling
Proceedings Papers

Application of the Neural Networks in Prediction of the Thermal Flow on the Jiu River

Victorita Radulescu
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T04A005, July 13–15, 2020
Paper No: HT2020-9043
DOI: https://doi.org/10.1115/HT2020-9043
View Paper titled, Application of the Neural Networks in Prediction of the Thermal Flow on the Jiu River
Click here to open pdf in another window PDF for Application of the Neural Networks in Prediction of the Thermal Flow on the Jiu River
Topics: Artificial neural networks, Flow (Dynamics), Rivers, Temperature, Water, Water temperature, Errors, Chemical properties, Computer simulation, Cooling towers
Proceedings Papers

Application of Artificial Neural Network As a Near-Real Time Technique for Solving Non-Linear Inverse Heat Conduction Problems in a One-Dimensional Medium With Moving Boundary

Hamidreza Najafi, Obinna Uyanna, Jian Zhang
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T02A013, July 13–15, 2020
Paper No: HT2020-9054
DOI: https://doi.org/10.1115/HT2020-9054
View Paper titled, Application of Artificial Neural Network As a Near-Real Time Technique for Solving Non-Linear Inverse Heat Conduction Problems in a One-Dimensional Medium With Moving Boundary
Click here to open pdf in another window PDF for Application of Artificial Neural Network As a Near-Real Time Technique for Solving Non-Linear Inverse Heat Conduction Problems in a One-Dimensional Medium With Moving Boundary
Topics: Artificial neural networks, Heat conduction
Proceedings Papers

Application of Machine Learning for Enhancing the Transient Performance of Thermal Energy Storage Platforms for Supplemental or Primary Thermal Management

Nandan Shettigar, Debjyoti Banerjee, Meghan Truong, Ashok Thyagarajan, Alaba Bamido, Abigail Meza, Navin Kumar
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T02A014, July 13–15, 2020
Paper No: HT2020-9167
DOI: https://doi.org/10.1115/HT2020-9167
View Paper titled, Application of Machine Learning for Enhancing the Transient Performance of Thermal Energy Storage Platforms for Supplemental or Primary Thermal Management
Click here to open pdf in another window PDF for Application of Machine Learning for Enhancing the Transient Performance of Thermal Energy Storage Platforms for Supplemental or Primary Thermal Management
Topics: Machine learning, Thermal energy storage, Thermal management, Transients (Dynamics), Subcooling, Algorithms, Melting, Phase change materials, Reliability, Artificial neural networks
Proceedings Papers

Significance of Delta Winglets on the Air Side Performance of Flat Finned Versus Wavy Finned-Tube Heat Exchangers

Tariq Amin Khan, Nasir Mehdi Gardezi, Wei Li, Yang Zhou, Zahid Ayub
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T02A006, July 13–15, 2020
Paper No: HT2020-8991
DOI: https://doi.org/10.1115/HT2020-8991
View Paper titled, Significance of Delta Winglets on the Air Side Performance of Flat Finned Versus Wavy Finned-Tube Heat Exchangers
Click here to open pdf in another window PDF for Significance of Delta Winglets on the Air Side Performance of Flat Finned Versus Wavy Finned-Tube Heat Exchangers
Topics: Heat exchangers, Genetic algorithms, Heat transfer, Artificial neural networks, Computational fluid dynamics, Computer simulation, Flow (Dynamics), Friction, Heat transfer coefficients, Pareto optimization
Proceedings Papers

Inverse Model for Fire Heat Release Rate Using Deep Neural Networks

Luyao Kou, Xinzhi Wang, Hui Zhang, Rui Yang, Yi Liu
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T06A003, July 13–15, 2020
Paper No: HT2020-9110
DOI: https://doi.org/10.1115/HT2020-9110
View Paper titled, Inverse Model for Fire Heat Release Rate Using Deep Neural Networks
Click here to open pdf in another window PDF for Inverse Model for Fire Heat Release Rate Using Deep Neural Networks
Topics: Artificial neural networks, Fire, Heat, Emergency response, Modeling, Sensors, Time series
Proceedings Papers

Optimal Position of Rectangular Vortex Generator for Heat Transfer Enhancement in a Flat-Plate Channel

Tariq Amin Khan, Wei Li, Zhengjiang Zhang, Jincai Du, Sadiq Amin Khan, Fu Liu
Proc. ASME. HT2017, Volume 1: Aerospace Heat Transfer; Computational Heat Transfer; Education; Environmental Heat Transfer; Fire and Combustion Systems; Gas Turbine Heat Transfer; Heat Transfer in Electronic Equipment; Heat Transfer in Energy Systems, V001T02A005, July 9–12, 2017
Paper No: HT2017-4904
DOI: https://doi.org/10.1115/HT2017-4904
View Paper titled, Optimal Position of Rectangular Vortex Generator for Heat Transfer Enhancement in a Flat-Plate Channel
Click here to open pdf in another window PDF for Optimal Position of Rectangular Vortex Generator for Heat Transfer Enhancement in a Flat-Plate Channel
Topics: Flat plates, Generators, Heat transfer, Vortices, Pressure drop, Computer simulation, Artificial neural networks, Flow (Dynamics), Fluid dynamics, Genetic algorithms
Proceedings Papers

Application of Genetic Algorithm-Polynomial Neural Network for Modelling Heat Transfer and Fluid Flow Characteristics of a Double-Pipe Heat Exchanger

Mehdi Mehrabi, Tuhid Pashaee, Mohsen Sharifpur, Josua P. Meyer
Proc. ASME. HT2013, Volume 1: Heat Transfer in Energy Systems; Thermophysical Properties; Theory and Fundamental Research in Heat Transfer, V001T01A015, July 14–19, 2013
Paper No: HT2013-17194
DOI: https://doi.org/10.1115/HT2013-17194
View Paper titled, Application of Genetic Algorithm-Polynomial Neural Network for Modelling Heat Transfer and Fluid Flow Characteristics of a Double-Pipe Heat Exchanger
Click here to open pdf in another window PDF for Application of Genetic Algorithm-Polynomial Neural Network for Modelling Heat Transfer and Fluid Flow Characteristics of a Double-Pipe Heat Exchanger
Topics: Algorithms, Artificial neural networks, Fluid dynamics, Heat exchangers, Heat transfer, Modeling, Pipes, Polynomials, Design, Heat transfer coefficients
Proceedings Papers

Application of Artificial Neural Networks to Predict Heat Transfer From Buried Pipe for Ground Source Heat Pump Applications

Hakan Demir, Ş. Özgür Atayılmaz, Özden Agra, Ahmet Selim Dalkılıç
Proc. ASME. HT2013, Volume 4: Heat and Mass Transfer Under Extreme Conditions; Environmental Heat Transfer; Computational Heat Transfer; Visualization of Heat Transfer; Heat Transfer Education and Future Directions in Heat Transfer; Nuclear Energy, V004T14A030, July 14–19, 2013
Paper No: HT2013-17729
DOI: https://doi.org/10.1115/HT2013-17729
View Paper titled, Application of Artificial Neural Networks to Predict Heat Transfer From Buried Pipe for Ground Source Heat Pump Applications
Click here to open pdf in another window PDF for Application of Artificial Neural Networks to Predict Heat Transfer From Buried Pipe for Ground Source Heat Pump Applications
Topics: Artificial neural networks, Heat pumps, Heat transfer, Pipes, Soil, Temperature, Fluids, Heat exchangers, Density, Design
Proceedings Papers

A Critical Review on the Determination of Convective Heat Transfer Coefficient During Condensation in Smooth and Enhanced Tubes

Ahmet Selim Dalkiliç, Ali Celen, Mohamed M. Awad, Somchai Wongwises
Proc. ASME. HT2013, Volume 2: Heat Transfer Enhancement for Practical Applications; Heat and Mass Transfer in Fire and Combustion; Heat Transfer in Multiphase Systems; Heat and Mass Transfer in Biotechnology, V002T07A007, July 14–19, 2013
Paper No: HT2013-17565
DOI: https://doi.org/10.1115/HT2013-17565
View Paper titled, A Critical Review on the Determination of Convective Heat Transfer Coefficient During Condensation in Smooth and Enhanced Tubes
Click here to open pdf in another window PDF for A Critical Review on the Determination of Convective Heat Transfer Coefficient During Condensation in Smooth and Enhanced Tubes
Topics: Condensation, Convection, Heat exchangers, Artificial neural networks, Heat transfer coefficients, Numerical analysis, Computational fluid dynamics, Flow (Dynamics), Refrigerants, Refrigeration
Proceedings Papers

A Critical Review on the Determination of Pressure Drop During Condensation in Smooth and Enhanced Tubes

Ahmet Selim Dalkiliç, Ali Celen, Mohamed M. Awad, Somchai Wongwises
Proc. ASME. HT2013, Volume 2: Heat Transfer Enhancement for Practical Applications; Heat and Mass Transfer in Fire and Combustion; Heat Transfer in Multiphase Systems; Heat and Mass Transfer in Biotechnology, V002T07A008, July 14–19, 2013
Paper No: HT2013-17567
DOI: https://doi.org/10.1115/HT2013-17567
View Paper titled, A Critical Review on the Determination of Pressure Drop During Condensation in Smooth and Enhanced Tubes
Click here to open pdf in another window PDF for A Critical Review on the Determination of Pressure Drop During Condensation in Smooth and Enhanced Tubes
Topics: Condensation, Pressure drop, Heat exchangers, Artificial neural networks, Heat transfer coefficients, Numerical analysis, Computational fluid dynamics, Flow (Dynamics), Refrigerants, Refrigeration
Proceedings Papers

Classification of Condensing Heat Exchangers Performance Data by Gaussian Mixtures

Arturo Pacheco-Vega, Gabriela Avila
Proc. ASME. HT2009, Volume 1: Heat Transfer in Energy Systems; Thermophysical Properties; Heat Transfer Equipment; Heat Transfer in Electronic Equipment, 737-745, July 19–23, 2009
Paper No: HT2009-88627
DOI: https://doi.org/10.1115/HT2009-88627
View Paper titled, Classification of Condensing Heat Exchangers Performance Data by Gaussian Mixtures
Click here to open pdf in another window PDF for Classification of Condensing Heat Exchangers Performance Data by Gaussian Mixtures
Topics: Heat exchangers, Artificial neural networks, Algorithms, Condensation, Film condensation
Proceedings Papers

Factor Analysis for Forced and Mixed Convection Laminar Heat Transfer in a Horizontal Tube Using Artificial Neural Network

L. M. Tam, A. J. Ghajar, H. K. Tam, S. C. Tam
Proc. ASME. HT2007, ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference, Volume 1, 1013-1020, July 8–12, 2007
Paper No: HT2007-32155
DOI: https://doi.org/10.1115/HT2007-32155
View Paper titled, Factor Analysis for Forced and Mixed Convection Laminar Heat Transfer in a Horizontal Tube Using Artificial Neural Network
Click here to open pdf in another window PDF for Factor Analysis for Forced and Mixed Convection Laminar Heat Transfer in a Horizontal Tube Using Artificial Neural Network
Topics: Artificial neural networks, Heat transfer, Mixed convection, Rayleigh number, Forced convection, Heat flux, Laminar flow, Prandtl number, Reynolds number, Turbulent heat transfer
Proceedings Papers

Turbulent Forced Convection Correlation for the In-Tube Flow of Binary Gas Mixtures With 0.1

Gerardo Diaz, Antonio Campo
Proc. ASME. HT2007, ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference, Volume 1, 389-394, July 8–12, 2007
Paper No: HT2007-32355
DOI: https://doi.org/10.1115/HT2007-32355
View Paper titled, Turbulent Forced Convection Correlation for the In-Tube Flow of Binary Gas Mixtures With 0.1<Pr<0.7
Click here to open pdf in another window PDF for Turbulent Forced Convection Correlation for the In-Tube Flow of Binary Gas Mixtures With 0.1<Pr<0.7
Topics: Flow (Dynamics), Forced convection, Turbulence, Artificial neural networks, Gases, Interpolation, Testing, Trains
Proceedings Papers

Development of a Heat Transfer Correlation for the Transitional Flow in a Horizontal Tube Using Support Vector Machines

L. M. Tam, A. J. Ghajar, H. K. Tam, S. C. Tam
Proc. ASME. HT2008, Heat Transfer: Volume 1, 527-536, August 10–14, 2008
Paper No: HT2008-56093
DOI: https://doi.org/10.1115/HT2008-56093
View Paper titled, Development of a Heat Transfer Correlation for the Transitional Flow in a Horizontal Tube Using Support Vector Machines
Click here to open pdf in another window PDF for Development of a Heat Transfer Correlation for the Transitional Flow in a Horizontal Tube Using Support Vector Machines
Topics: Flow (Dynamics), Heat transfer, Support vector machines, Artificial neural networks, Boundary-value problems, Heat flux, Mixed convection, Stainless steel
Proceedings Papers

Artificial-Neural-Networks-Based Correlating Heat Transfer and Friction of Three Kinds of Heat Exchangers Having Large Tube-Diameter and Large Tube-Row

Gongnan Xie, Linghong Tang, Bengt Sunde´n, Qiuwang Wang
Proc. ASME. HT2008, Heat Transfer: Volume 2, 43-51, August 10–14, 2008
Paper No: HT2008-56241
DOI: https://doi.org/10.1115/HT2008-56241
View Paper titled, Artificial-Neural-Networks-Based Correlating Heat Transfer and Friction of Three Kinds of Heat Exchangers Having Large Tube-Diameter and Large Tube-Row
Click here to open pdf in another window PDF for Artificial-Neural-Networks-Based Correlating Heat Transfer and Friction of Three Kinds of Heat Exchangers Having Large Tube-Diameter and Large Tube-Row
Topics: Artificial neural networks, Friction, Heat exchangers, Heat transfer
Proceedings Papers

Inverse Estimation of Surface Temperature in Nanoscale Using the Artificial Neural Network

Bup Sung Jung, Sun K. Kim, Woo Il Lee
Proc. ASME. HT2005, Heat Transfer: Volume 1, 403-410, July 17–22, 2005
Paper No: HT2005-72384
DOI: https://doi.org/10.1115/HT2005-72384
View Paper titled, Inverse Estimation of Surface Temperature in Nanoscale Using the Artificial Neural Network
Click here to open pdf in another window PDF for Inverse Estimation of Surface Temperature in Nanoscale Using the Artificial Neural Network
Topics: Artificial neural networks, Nanoscale phenomena, Temperature, Heat conduction, Boundary-value problems, Dimensions, Inverse problems, Phonons
Proceedings Papers

Determination of Laser Welding Process Parameters Through a Combined Neural Networks and Computational Fluid Dynamics Approach

Thomas Hauser, Michal Hradisky, Leijun Li
Proc. ASME. HT2005, Heat Transfer: Volume 3, 129-135, July 17–22, 2005
Paper No: HT2005-72343
DOI: https://doi.org/10.1115/HT2005-72343
View Paper titled, Determination of Laser Welding Process Parameters Through a Combined Neural Networks and Computational Fluid Dynamics Approach
Click here to open pdf in another window PDF for Determination of Laser Welding Process Parameters Through a Combined Neural Networks and Computational Fluid Dynamics Approach
Topics: Artificial neural networks, Computational fluid dynamics, Laser welding, Simulation, Lasers, Modeling, Nd-YAG lasers, Shapes, Stainless steel, Steel
Proceedings Papers

Application of a Multi Level CFD-Technique for the Design Optimisation of Hydraulic Machinery Bladings

N. Mu¨ller, J. Einzinger, T. Lepach, S. Kra¨mer, S. Thum, R. Schilling
Proc. ASME. HT-FED2004, Volume 2, Parts A and B, 601-608, July 11–15, 2004
Paper No: HT-FED2004-56310
DOI: https://doi.org/10.1115/HT-FED2004-56310
View Paper titled, Application of a Multi Level CFD-Technique for the Design Optimisation of Hydraulic Machinery Bladings
Click here to open pdf in another window PDF for Application of a Multi Level CFD-Technique for the Design Optimisation of Hydraulic Machinery Bladings
Topics: Computational fluid dynamics, Design, Hydraulic equipment, Optimization, Blades, Computation, Flow (Dynamics), Geometry, B-splines, Hydraulic turbines