A data-driven intelligent learning algorithm for simultaneous prediction of aerodynamic heat and thermo-physical property parameters
Y Li, C Sun, Z Cao, M Cui, K Liu - International Journal of Thermal …, 2025 - Elsevier
It is of great importance and challenging to simultaneously determine time-varying
aerodynamic heat and temperature-dependent thermo-physical property parameters with …
aerodynamic heat and temperature-dependent thermo-physical property parameters with …
Laboratory experimental setup and research on heat transfer characteristics during secondary cooling in continuous casting
Y Zhang, Z Wen, Z Zhao, C Bi, Y Guo, J Huang - Metals, 2019 - mdpi.com
Spray cooling is a key technology in the continuous casting process and has a marked
influence on the product quality. In order to obtain the heat transfer characteristics, which are …
influence on the product quality. In order to obtain the heat transfer characteristics, which are …
A comparative artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer
A Mirsepahi, L Chen, B O'Neill - … communications in heat and mass transfer, 2013 - Elsevier
In this work, a variety of new approaches are developed and results are compared for
solving inverse heat transfer problems where radiation is the dominant mode of thermal …
solving inverse heat transfer problems where radiation is the dominant mode of thermal …
A comparative approach of inverse modelling applied to an irradiative batch dryer employing several artificial neural networks
A Mirsepahi, L Chen, B O'Neill - International Communications in Heat and …, 2014 - Elsevier
The present work has focused on a comparison between commonly employed artificial
neural networks (ANNs) in engineering applications to identify the most efficient ANN for the …
neural networks (ANNs) in engineering applications to identify the most efficient ANN for the …
Comparison of inverse modelling and optimization-based methods in the heat flux estimation problem of an irradiative dryer/furnace
There are two major approaches in sequential (real-time) heat flux estimation problems
using measured temperatures:(i) development of inverse heat transfer models that directly …
using measured temperatures:(i) development of inverse heat transfer models that directly …
An artificial intelligence solution for heat flux estimation using temperature history; a two-input/two-output problem
A Mirsepahi, L Chen, B O'Neill - Chemical Engineering …, 2017 - Taylor & Francis
In order to check the applicability of Artificial Intelligent (AI) techniques to act as reliable
inverse models to solve the multi-input/multi-output heat flux estimation classes of inverse …
inverse models to solve the multi-input/multi-output heat flux estimation classes of inverse …