Heat transfer enhancement of modified flat plate heat exchanger

zahrani, Salman Al; Islam, Mohammad S.; Saha, Suvash C.

doi:10.1016/j.applthermaleng.2020.116533

Cited by 25 publications

(9 citation statements)

References 51 publications

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“…where, D h is the hydraulic diameter and b is the corrugation depth that can be obtained from Equation (2) [21] and N ch is the number of (cold/hot) channels. We started by investigating the overall heat transfer coefficient (U) as follows:…”

Section: Discussionmentioning

confidence: 99%

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Combined Energetic and Exergetic Performance Analysis of Air Bubbles Injection into a Plate Heat Exchanger: An Experimental Study

Marouf

Fouad

2023

Energies

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This paper aims to give a comprehensive energetic-exergetic performance analysis on the impacts of injecting-submillimeter of air bubbles into both sides of cold and hot water streams before the entrance port of a corrugated plate heat exchanger (C-PHE) having ten plates within counterflow configuration. Hence, optimize the energy and exergy effectiveness at different operating conditions for counter and parallel fluid flow configurations. Hot streams were studied in seven flow rates ranging from 280 L/h to 880 L/h with a regular step of 100 L/h, and constant hot water temperature and cold-water stream of 50 °C and 290 L/h, respectively. Hence, the air was discharged with four flow rates ranging between 150 and 840 L/h. The obtained results showed the vital role of the ABI technique in enhancing the NTU and effectiveness by 59% and 18.6%, respectively, for CWS. The entropy generation was reduced to 0.038 W/K and the augmentation entropy generation number to 0.087 at the low airflow rate for CWS, which are the main parameters for evaluating the EGM. These two parameters increase the Witte-Shamsundar-efficiency to a maximum value of 98.6% at the same operating conditions. Moreover, the exergy effectiveness was enhanced to a maximum value of 80.9% at a high ABI flow rate and low volumetric rate of the hot stream at CWS. The thermo-economic assessment has been carried out, which revelers the positive effects of ABI on the combined energetic and exergetic performance on both sides, i.e., hot and cold sides.

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Section: Discussionmentioning

confidence: 99%

“…The uncertainties analysis was performed for the tested parameters to estimate the error in the obtained results during the measuring process by different measurement devices while conducting the tests using Kline and McClintock method [30] as follows and tabulated in Table 2. 20) and (21).…”

Section: Uncertainty Analysismentioning

confidence: 99%

Combined Energetic and Exergetic Performance Analysis of Air Bubbles Injection into a Plate Heat Exchanger: An Experimental Study

Marouf

Fouad

2023

Energies

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“…Several authors reviewed and identified the various heat transfer enhancement techniques in PHEs, such as louver fin, corrugated fin, perforated fin, artificial roughness, extended surface, winglets, and staggered wavy fin. − Inserts and vortex generators were also studied as heat transport improvement strategies . A modification to the plate was also made to improve heat transfer. , The chevron angle was found as the significant geometrical parameter in heat transfer improvement . Besides the above approaches, nanofluids are also attractive solutions to improve the efficiencies of heat exchangers.…”

Section: Machine Learning For Rementioning

confidence: 99%

“…207 A modification to the plate was also made to improve heat transfer. 208,209 The chevron angle was found as the significant geometrical parameter in heat transfer improvement. 210 Besides the above approaches, nanofluids are also attractive solutions to improve the efficiencies of heat exchangers.…”

Section: Machine Learning For Rementioning

confidence: 99%

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Sharma¹,

Said

Kumar³

et al. 2022

Energy Fuels

209

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Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity of the working fluid has a huge impact on the efficiency of the renewable energy system. The addition of a small amount of high thermal conductivity solid nanoparticles to a base fluid improves heat transfer. Even though a large amount of research data is available in the literature, some results are contradictory. Many influencing factors, as well as nonlinearity and refutations, make nanofluid research highly challenging and obstruct its potentially valuable uses. On the other hand, data-driven machine learning techniques would be very useful in nanofluid research for forecasting thermophysical features and heat transfer rate, identifying the most influential factors, and assessing the efficiencies of different renewable energy systems. The primary aim of this review study is to look at the features and applications of different machine learning techniques employed in the nanofluid-based renewable energy system, as well as to reveal new developments in machine learning research. A variety of modern machine learning algorithms for nanofluid-based heat transfer studies in renewable and sustainable energy systems are examined, along with their advantages and disadvantages. Artificial neural networks-based model prediction using contemporary commercial software is simple to develop and the most popular. The prognostic capacity may be further improved by combining a marine predator algorithm, genetic algorithm, swarm intelligence optimization, and other intelligent optimization approaches. In addition to the well-known neural networks and fuzzy- and gene-based machine learning techniques, newer ensemble machine learning techniques such as Boosted regression techniques, K-means, K-nearest neighbor (KNN), CatBoost, and XGBoost are gaining popularity due to their improved architectures and adaptabilities to diverse data types. The regularly used neural networks and fuzzy-based algorithms are mostly black-box methods, with the user having little or no understanding of how they function. This is the reason for concern, and ethical artificial intelligence is required.

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“…He et al [8] propose to improve heat transfer in order to increase the efficiency of cooling of turbine parts and assemblies, based on numerical simulation. The turbulence level of flows is of great importance for the heat exchange intensity in various heat exchangers [10][11][12]. For example, Gu et al [10] fine-tunes the design of cooling fins for a heat exchanger taking into account gas-dynamic effects based on experimental studies.…”

Section: Introductionmentioning

confidence: 99%

Computational and experimental evaluation of heat transfer intensity in channels of complex configuration for gas flow with different levels of turbulence

Plotnikov

Жилкин

Brodov

et al. 2021

J. Phys.: Conf. Ser.

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Disclosure of the physical mechanism of the influence of the turbulence intensity of gas flows on the heat transfer level in pipes of different configurations is an urgent task in the field of heat and power engineering. A brief overview of the literature on this topic is given in the article. A description of the boundary conditions for modeling is presented. The main characteristics of the experimental stand and measuring instruments are described. The purpose of this study is to study the effect of the initial turbulence level of a stationary gas flow on the heat transfer intensity in long pipes with different cross sections. The study is carried out using numerical simulation. The simulation results are qualitatively confirmed using experimental data. The values of the local heat transfer coefficient are shown to increase from 5 to 17% with increasing turbulence intensity (from 2 to 10%) in pipes with different cross sections. The heat transfer intensity in a triangular pipe is found to increase up to 30% compared to a round pipe. It is revealed that there is an up to 15% suppression of heat transfer in a square pipe compared to a round pipe. The data obtained may be useful for the design of flow paths and gas exchange systems for power machines and installations.

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Heat transfer enhancement of modified flat plate heat exchanger

Cited by 25 publications

References 51 publications

Combined Energetic and Exergetic Performance Analysis of Air Bubbles Injection into a Plate Heat Exchanger: An Experimental Study

Combined Energetic and Exergetic Performance Analysis of Air Bubbles Injection into a Plate Heat Exchanger: An Experimental Study

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Computational and experimental evaluation of heat transfer intensity in channels of complex configuration for gas flow with different levels of turbulence

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