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Optimization of a Heat Exchanger Using an ARM Core Intelligent Algorithm

by Yajuan Jia, Juanjuan Wang, Lisha Shang

Xi’an Traffic Engineering Institute, Xi’an, 710300, China

* Corresponding Author: Juanjuan Wang. Email: email

(This article belongs to the Special Issue: EFD and Heat Transfer II)

Fluid Dynamics & Materials Processing 2020, 16(5), 871-882. https://doi.org/10.32604/fdmp.2020.09957

Abstract

In order to optimize heat transfer in a heat exchanger using an ARM (advanced RISC machine) core intelligent computer algorithm, a new type of controller has been designed. The whole control structure of the heat exchange unit has been conceived on the basis of seven functional modules, including data processing and output, human-computer interaction, alarm, and data communication. The main controller and communication controller have been used in a combined fashion and a new MCU (micro control unit) system scheme has been proposed accordingly. A fuzzy controller has been designed by using a fuzzy control algorithm, and a new mode of heat transfer for the heat exchanger has been implemented by combining the fuzzy controller and the PID (proportioning integral derivative) controller. Finally, the model has been applied to an actual heat exchange station to test and verify the performances of the new approach.

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Cite This Article

APA Style
Jia, Y., Wang, J., Shang, L. (2020). Optimization of a heat exchanger using an ARM core intelligent algorithm. Fluid Dynamics & Materials Processing, 16(5), 871-882. https://doi.org/10.32604/fdmp.2020.09957
Vancouver Style
Jia Y, Wang J, Shang L. Optimization of a heat exchanger using an ARM core intelligent algorithm. Fluid Dyn Mater Proc. 2020;16(5):871-882 https://doi.org/10.32604/fdmp.2020.09957
IEEE Style
Y. Jia, J. Wang, and L. Shang, “Optimization of a Heat Exchanger Using an ARM Core Intelligent Algorithm,” Fluid Dyn. Mater. Proc., vol. 16, no. 5, pp. 871-882, 2020. https://doi.org/10.32604/fdmp.2020.09957



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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