Numerical study and optimization of thermohydraulic characteristics of a graphene–platinum nanofluid in finned annulus using genetic algorithm combined with decision-making technique

Khosravi, Raouf; Teymourtash, Ali Reza; Passandideh-Fard, Mohammad; Rabiei, Saeed; Bahiraei, Mehdi

doi:10.1007/s00366-020-01178-6

Cited by 14 publications

(3 citation statements)

References 41 publications

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“…e prototype of the ANN is the biological neural network, which is constructed with reference to the structure and action or stimulation principles of the biological neural network. It uses information processing technology and network topology knowledge to simulate a kind of complex information processing and corresponding mathematical model [18].…”

Section: Methodsmentioning

confidence: 99%

Optimization of TCM Diagnosis Information Management System Based on Artificial Neural Networks

Jia

2022

Mathematical Problems in Engineering

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As a treasure of Chinese medicine, TCM has gradually formed and developed into a complete medicine with a unique medical theory system and rich treatment experience after thousands of years of medical practice. It requires high diagnostic experience, which is not conducive to application promotion and management. Therefore, the concept of digital medicine has been recognized by more and more people, in which medical diagnosis is one of the core issues of digital medicine. The accuracy and efficiency of medical diagnosis are closely related to people’s life and health, which is an important problem that cannot be ignored. Use the growing case base as knowledge base to reason and realize the diagnosis function of traditional Chinese medicine. Based on the characteristics of traditional Chinese medicine and taking case reasoning as a model, an expert system of traditional Chinese medicine diagnosis is established. This paper combines the strong learning ability, strong adaptability, and large-scale parallel processing ability of artificial neural networks (ANN) to solve the nonlinear and unstructured complex problems in management information system. By improving BP algorithm to optimize the error of weight and repair or energy parameters, the overall error of the optimized system is reduced by about 75.3% after experimental analysis, and the average accuracy of prediction is 75%.

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Section: Methodsmentioning

confidence: 99%

Optimization of TCM Diagnosis Information Management System Based on Artificial Neural Networks

Jia

2022

Mathematical Problems in Engineering

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“…5,6 Among the different nanofluids and hybrid nanofluids, Graphene-Platinum/water (GNP-Pt/water) has gained attention recently. Khosravi et al 7 studied the thermal and hydraulic properties of GNP-Pt/water nanofluid flowing through a cylindrical microchannel numerically. The heat transfer coefficient was found to improve on increasing the Reynolds number as well as the nanofluid concentration.…”

Section: Introductionmentioning

confidence: 99%

The hydraulic and thermal performances of rectangular and square microchannel with different hydraulic diameters cooled by graphene–platinum hybrid nanofluid

R¹,

Manikkavasagan

P³

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The objective of this paper is to analyze the effect of hydraulic diameter and channel shape on the thermal and hydrodynamic characteristics of a microchannel cooled by Graphene-Platinum/water hybrid nanofluid for electronic cooling applications. The study was performed numerically using mathematical software called Maple 19.0. Microchannels having square and rectangular cross-sections, and hydraulic diameters ranging from 200 µm to 1000 µm were taken into consideration. Thermal resistance, heat transfer coefficient, pressure drop and friction factor were evaluated for different conditions and their corresponding graphs are presented and discussed. It was evident from the results that low thermal resistance and high heat transfer coefficient was achieved upon decreasing the hydraulic diameter, which is favorable for the cooling of electronic chips and devices. Based on the Reynolds number, the heat transfer coefficient increased by 2 to 4 times for both rectangular and square microchannels, on decreasing the hydraulic diameter from highest value (1000 µm) to lowest value (200 µm). However, friction factor and pressure drop increased for channels with lower hydraulic diameters. In addition, rectangular microchannels exhibited better heat transfer performance, while square microchannels had lower friction factor and pressure drop. Rectangular microchannels presented a maximum enhancement of 30% in heat transfer coefficient and a reduction of 18% in thermal resistance, when compared to square microchannels. The results also suggested that the performance of microchannels with 500 µm hydraulic diameter is balanced, considering both heat transfer performance and pressure drop constraints.

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“…24,25 AI approaches can train from patterns; they are highly reliable in the notion that they can accommodate noisy data; they can handle nonlinear problems; and, once learned, they can do generalization and estimate at high speeds. 26,27 Several studies have reported the efficient use of ML approaches such as ANN, [28][29][30] random forest regression, 31,32 Bayesian regularization network, 33 Multivariate adaptive regression splines, 34 genetic algorithm, 35,36 response surface methodology, 37-39 and particle swarm optimization [40][41][42] for mapping and predicting the critical properties of energy-related areas. Among these, the literature survey reveals extensive use of ANNs for model prediction in the domain of nanofluid characterization.…”

Section: Introductionmentioning

confidence: 99%

Comparative evaluation of AI ‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe ₃ O ₄ ‐coated MWCNT hybrid nanofluids for potential application in energy systems

Sharma¹,

Said

Memon

et al. 2022

Intl J of Energy Research

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Numerical study and optimization of thermohydraulic characteristics of a graphene–platinum nanofluid in finned annulus using genetic algorithm combined with decision-making technique

Cited by 14 publications

References 41 publications

Optimization of TCM Diagnosis Information Management System Based on Artificial Neural Networks

Optimization of TCM Diagnosis Information Management System Based on Artificial Neural Networks

The hydraulic and thermal performances of rectangular and square microchannel with different hydraulic diameters cooled by graphene–platinum hybrid nanofluid

Comparative evaluation of AI ‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe ₃ O ₄ ‐coated MWCNT hybrid nanofluids for potential application in energy systems

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Numerical study and optimization of thermohydraulic characteristics of a graphene–platinum nanofluid in finned annulus using genetic algorithm combined with decision-making technique

Cited by 14 publications

References 41 publications

Optimization of TCM Diagnosis Information Management System Based on Artificial Neural Networks

Optimization of TCM Diagnosis Information Management System Based on Artificial Neural Networks

The hydraulic and thermal performances of rectangular and square microchannel with different hydraulic diameters cooled by graphene–platinum hybrid nanofluid

Comparative evaluation of AI ‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe 3 O 4 ‐coated MWCNT hybrid nanofluids for potential application in energy systems

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Comparative evaluation of AI ‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe ₃ O ₄ ‐coated MWCNT hybrid nanofluids for potential application in energy systems