Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer-Reference-Cited by-同舟云学术

Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer

Published:2023-09 Issue: Volume:49 Page:103294
ISSN:2214-157X
Container-title:Case Studies in Thermal Engineering
language:en
Short-container-title:Case Studies in Thermal Engineering

Author:

Mudhsh Mohammed,El-Said Emad M.S.,Aseeri Ahmad O.,Almodfer Rolla,Abd Elaziz Mohamed,Elshamy Samir M.,Elsheikh Ammar H.^ORCID

Funder

Prince Sattam bin Abdulaziz University

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Engineering (miscellaneous)

Reference47 articles.

1. Estimation of thermal effects of fouling growth for application in the scheduling of heat exchangers cleaning;Trafczynski;Appl. Therm. Eng.,2021

2. A numerical investigation on heat transfer enhancement and the flow characteristics in a new type plate heat exchanger using helical flow duct;El-Said;Cogent Eng,2017

3. Thermodynamic performance evaluation for helical plate heat exchanger based on second law analysis;El-Said;Proc. Rom. Acad. - Ser. A Math. Physics, Tech. Sci. Inf. Sci.,2018

4. Experimental investigation on intensified convective heat transfer coefficient of water based PANI nanofluid in vertical helical coiled heat exchanger;Bhanvase;Appl. Therm. Eng.,2018

5. Heat transfer enhancement using non-Newtonian nanofluids in a shell and helical coil heat exchanger;Naik;Exp. Therm. Fluid Sci.,2018

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of adaptive neuro-fuzzy inference system and stochastic simulation for mean droplet size modeling in rotatory agitated columns under different mass transfer scenarios;International Communications in Heat and Mass Transfer;2024-11

2. Prediction of thermo-hydraulic properties of flow in an innovative plate heat exchanger using machine learning algorithms;Physica Scripta;2024-09-04

3. Study of two thermally integrated pumped thermal electricity storage systems using distinct working fluid groups: Performance comparison;Case Studies in Thermal Engineering;2024-09

4. Advanced deep learning approach with physics-informed neural networks for analysing the thermal variation through a radial fin applicable in heat exchangers;Pramana;2024-08-27

5. Enabling High-Degree-of-Freedom Thermal Engineering Calculations via Lightweight Machine Learning;Energies;2024-08-08