Optimization of a Heat Exchanger Using an ARM Core Intelligent Algorithm

Jia, Yajuan; Wang, Juanjuan; Shang, Lisha

doi:10.32604/fdmp.2020.09957

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Common intelligent algorithms include Tabu search (TS), simulated annealing (SA), genetic algorithm (GA), and ant colony algorithm (ACA) [ 19 ].…”

Section: Smart Way To Push Informationmentioning

confidence: 99%

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Cheng

2022

Computational Intelligence and Neuroscience

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“Information alienation” is a concept formed by combining the idea of “alienation” in philosophy with the characteristics of information itself. Information is a universal property of matter and an objectively existing form of material movement. The purpose of this paper is to study and analyze the alienation technology control of push information based on intelligent algorithms and describe the information alienation. This paper puts forward the problem of pushing information, which is based on intelligent algorithm, then elaborates around the concept of intelligent algorithm and related algorithms, and designs and analyzes the control of media information alienation. The experimental results show that, in the questionnaire survey, 72.34% of the people who very frequently swipe unfriendly information account for a very large proportion. People will always swipe it in various software applications, which is unavoidable. How to control the problem of information alienation needs to be controlled from the user level, the design media level, and the government level.

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“…Common intelligent algorithms include Tabu search (TS), simulated annealing (SA), genetic algorithm (GA), and ant colony algorithm (ACA) [ 19 ].…”

Section: Smart Way To Push Informationmentioning

confidence: 99%

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Cheng

2022

Computational Intelligence and Neuroscience

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“…The findings of the study reveal that the system has great efficiency, adaptability, stability, and intelligence. It has a specific application value and can be widely employed in the heating job of the heating station [31]. Longer fluid coils grow as a result of inefficient fluid flow distribution, and the liquid cochlea can finally engulf the entire canal branch, limiting heat transfer and disturbing the biphasic system.…”

Section: Introductionmentioning

confidence: 99%

Pipes with Trapezoidal Cut Twisted Tape Inserts in the Laminar Flow Regime: Nusselt Number and Friction Coefficient Analysis

Thote¹,

Singh²

2023

Fluid Dynamics &Amp; Materials Processing

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The thermal behavior of pipes with a twisted tape inside (used to enhance heat transfer through the tube wall) is studied in the laminar flow regime. Oil is used as the work fluid with the corresponding Reynolds Number spanning the interval 200-2000. It is found that in such conditions the 'Nusselt Number' (Nu) gradually increases with reducing the tape twist ratio, whereas the friction factor is detrimentally affected by the presence of the tape (as witnessed by the comparison with the companion case where a plain tube is considered). In particular, it is shown that the heat transfer efficiency can be improved by nearly 69% if tape inserts with a relatively low twist ratio are used. On the basis of these findings, it is concluded that loose fit tape inserts are superior to tight fit tapes in terms of heat transfer and ease of replacement.

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“…Because of the complexity of suggested structures and consequently multiplicity of optimization parameters, recently, some researchers have employed optimization algorithms to introduce valuable solutions to heat transfer problems [1][2][3]. Bejan et al proposed cooling hot mediums by inserts for the first time [4] and introduced the constructal law (CL) [5], attracting many authors to this law, including [6][7][8][9][10][11].…”

mentioning

confidence: 99%

Assessment of Different Optimization Algorithms for a Thermal Conduction Problem

Hajmohammadi¹,

Najafiyan²,

Lorenzini³

2023

Fluid Dynamics &Amp; Materials Processing

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In this study, three computational approaches for the optimization of a thermal conduction problem are critically compared. These include a Direct Method (DM), a Genetic Algorithm (GA), and a Pattern Search (PS) technique. The optimization aims to minimize the maximum temperature of a hot medium (a medium with uniform heat generation) using a constant amount of high conductivity materials (playing the role of fixed factor constraining the considered problem). The principal goal of this paper is to determine the most efficient and fastest option among the considered ones. It is shown that the examined three methods approximately lead to the same result in terms of maximum temperature. However, when the number of optimization variables is low, the DM is the fastest one. An increment in the complexity of the design and the number of degrees of freedom (DOF) can make the DM impractical. Results also show that the PS algorithm becomes faster than the GA as the number of variables for the optimization rises.

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Optimization of a Heat Exchanger Using an ARM Core Intelligent Algorithm

Cited by 4 publications

References 13 publications

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Pipes with Trapezoidal Cut Twisted Tape Inserts in the Laminar Flow Regime: Nusselt Number and Friction Coefficient Analysis

Assessment of Different Optimization Algorithms for a Thermal Conduction Problem

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