E3S Web Conf.
Volume 124, 2019International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
|Number of page(s)||4|
|Section||Automation, Instruments and Control Methods|
|Published online||25 October 2019|
Intellectual modeling of surface heat-exchange enhancer based on artificial neural networks
Kazan State Power Engineering University, Kazan, Russia
* Corresponding author: Shakirov.firstname.lastname@example.org
The results of neural network modeling of average heat transfer in the channels of exchangers with surface enhancer of different shapes are presented. Artificial neural networks are trained using experimental data, which covers more than ten sources. The possibility and prospects of building artificial neural networks for modeling the characteristics of heat exchange surfaces are shown.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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