Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger
Several experiments of Fe3O4–SiO2/water hybrid nanofluids with volumetric concentrations ranging from 0.2 % to 1.0 % circulating in the cold-side of a plate heat exchanger at flow rates ranging from 0.05 kg/s to 0.1166 kg/s are performed. Under these ranges of flow rates and volumetric concentration...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023089387 |
| _version_ | 1797429764252762112 |
|---|---|
| author | A.M. Alklaibi Kotturu V.V. Chandra Mouli L. Syam Sundar |
| author_facet | A.M. Alklaibi Kotturu V.V. Chandra Mouli L. Syam Sundar |
| author_sort | A.M. Alklaibi |
| collection | DOAJ |
| description | Several experiments of Fe3O4–SiO2/water hybrid nanofluids with volumetric concentrations ranging from 0.2 % to 1.0 % circulating in the cold-side of a plate heat exchanger at flow rates ranging from 0.05 kg/s to 0.1166 kg/s are performed. Under these ranges of flow rates and volumetric concentrations, the flow of Fe3O4–SiO2/water hybrid nanofluids remains laminar. The results of these experiments are predicted with support vector machine (SVM) algorithm to determine hybrid nanofluid entropy generation thermal, entropy generation frictional, and efficiency of exergy. Fe3O4–SiO2 nanomaterials was synthesized with reduction of chemicals and insitu development techniques, with XRD, FTIR and VSM instruments, characterizations were done. The SVM model gives large precision predictions of the measured data with correlations coefficients of 0.9944, 0.99798, and 0.99428 for frictional entropy generation, thermal entropy generation and exergy efficiency. At a flow rate of 0.1166 kg/s in the cold-side of PHE, the exergy efficiency is found to be 77.96 % for water (Reynolds number of 935.4) and with 1.0 vol% of Fe3O4–SiO2/water hybrid nanofluid in the cold-side of PHE, the efficiency is increased to 82.97 %, respectively. Under similar conditions of 0.1166 kg/s of flow circulation and 1.0 % vol. concentration of hybrid nanofluid, the thermal entropy generation is dropped off to 18.37 %, but the frictional entropy generation is increased by 20.97 %, compared to water, with the results that the total entropy generation drops off by 15.91 %, compared to water data. Preliminary curve-fitting correlations have been developed for the frictional entropy generation, thermal entropy generation, and exergy efficiency. |
| first_indexed | 2024-03-09T09:18:54Z |
| format | Article |
| id | doaj.art-779d3215004f42f6abfb8fe701f97770 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-09T09:18:54Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-779d3215004f42f6abfb8fe701f977702023-12-02T07:04:00ZengElsevierHeliyon2405-84402023-11-01911e21730Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchangerA.M. Alklaibi0Kotturu V.V. Chandra Mouli1L. Syam Sundar2Department of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi ArabiaDepartment of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi ArabiaDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, Al-Khobar, 31952, Saudi Arabia; Corresponding author.Several experiments of Fe3O4–SiO2/water hybrid nanofluids with volumetric concentrations ranging from 0.2 % to 1.0 % circulating in the cold-side of a plate heat exchanger at flow rates ranging from 0.05 kg/s to 0.1166 kg/s are performed. Under these ranges of flow rates and volumetric concentrations, the flow of Fe3O4–SiO2/water hybrid nanofluids remains laminar. The results of these experiments are predicted with support vector machine (SVM) algorithm to determine hybrid nanofluid entropy generation thermal, entropy generation frictional, and efficiency of exergy. Fe3O4–SiO2 nanomaterials was synthesized with reduction of chemicals and insitu development techniques, with XRD, FTIR and VSM instruments, characterizations were done. The SVM model gives large precision predictions of the measured data with correlations coefficients of 0.9944, 0.99798, and 0.99428 for frictional entropy generation, thermal entropy generation and exergy efficiency. At a flow rate of 0.1166 kg/s in the cold-side of PHE, the exergy efficiency is found to be 77.96 % for water (Reynolds number of 935.4) and with 1.0 vol% of Fe3O4–SiO2/water hybrid nanofluid in the cold-side of PHE, the efficiency is increased to 82.97 %, respectively. Under similar conditions of 0.1166 kg/s of flow circulation and 1.0 % vol. concentration of hybrid nanofluid, the thermal entropy generation is dropped off to 18.37 %, but the frictional entropy generation is increased by 20.97 %, compared to water, with the results that the total entropy generation drops off by 15.91 %, compared to water data. Preliminary curve-fitting correlations have been developed for the frictional entropy generation, thermal entropy generation, and exergy efficiency.http://www.sciencedirect.com/science/article/pii/S2405844023089387thermal entropy generationfrictional entropy generationexergy efficiencySVM modelRegression equations |
| spellingShingle | A.M. Alklaibi Kotturu V.V. Chandra Mouli L. Syam Sundar Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger Heliyon thermal entropy generation frictional entropy generation exergy efficiency SVM model Regression equations |
| title | Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger |
| title_full | Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger |
| title_fullStr | Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger |
| title_full_unstemmed | Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger |
| title_short | Experimental and support vector machine predictions of entropy generations and exergy efficiency of Fe3O4–SiO2/Water hybrid nanofluid in a plate heat exchanger |
| title_sort | experimental and support vector machine predictions of entropy generations and exergy efficiency of fe3o4 sio2 water hybrid nanofluid in a plate heat exchanger |
| topic | thermal entropy generation frictional entropy generation exergy efficiency SVM model Regression equations |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023089387 |
| work_keys_str_mv | AT amalklaibi experimentalandsupportvectormachinepredictionsofentropygenerationsandexergyefficiencyoffe3o4sio2waterhybridnanofluidinaplateheatexchanger AT kotturuvvchandramouli experimentalandsupportvectormachinepredictionsofentropygenerationsandexergyefficiencyoffe3o4sio2waterhybridnanofluidinaplateheatexchanger AT lsyamsundar experimentalandsupportvectormachinepredictionsofentropygenerationsandexergyefficiencyoffe3o4sio2waterhybridnanofluidinaplateheatexchanger |