Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions
ABSTRACT This work adopted response surface methodology (RSM) to analyze the behavior of a nanofluid based on propylene glycol. The laboratory conditions in this investigation involve a temperature range of 40°C–120°C and a weight percentage that varies from 0% to 0.5%. Initially viscosity was predi...
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| Format: | Article |
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Wiley
2025-01-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.13032 |
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| author | Raviteja Surakasi Salah J. Mohammed Hasan Sh. Majdi Ali Majdi Parveen Berwal Mohammad Amir Khan Wahaj Ahmad Khan |
| author_facet | Raviteja Surakasi Salah J. Mohammed Hasan Sh. Majdi Ali Majdi Parveen Berwal Mohammad Amir Khan Wahaj Ahmad Khan |
| author_sort | Raviteja Surakasi |
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| description | ABSTRACT This work adopted response surface methodology (RSM) to analyze the behavior of a nanofluid based on propylene glycol. The laboratory conditions in this investigation involve a temperature range of 40°C–120°C and a weight percentage that varies from 0% to 0.5%. Initially viscosity was predicted using Redwood viscometer using the nanofluid solutions. To find the most accurate predictive model and generate an ideal solution, RSM was used. The current study was inspired by the lack of consistency among laboratory behavior and real‐world applications and the statistical‐mathematical analysis of modelers' performance, contrast, and motivations. Two‐factor interaction (2FI), quadratic, cubic, and quartic models are only a few tested. Investigating and evaluating the different statistical features of these modeling functions is a new contribution to the field. The quartic model represents the characteristics of nanofluids with double the accuracy of other models, as shown by statistical analysis. The R2 coefficient, the coefficient of variation (CV%), and the p‐value are compared as metrics for assessing the models. The indexes for the quartic model are 0.9940, 3.53%, and 0.0001, in that order. Nanofluids should have a viscosity of 0.335 m2/s at 120°C along with a weight percentage of 0.5%. |
| format | Article |
| id | doaj-art-858e8ef98ea4437ea04efa04efec539a |
| institution | Kabale University |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
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| series | Engineering Reports |
| spelling | doaj-art-858e8ef98ea4437ea04efa04efec539a2025-01-31T00:22:48ZengWileyEngineering Reports2577-81962025-01-0171n/an/a10.1002/eng2.13032Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal ConditionsRaviteja Surakasi0Salah J. Mohammed1Hasan Sh. Majdi2Ali Majdi3Parveen Berwal4Mohammad Amir Khan5Wahaj Ahmad Khan6Department of Mechanical Engineering Lendi Institute of Engineering and Technology Vizianagaram Andhra Pradesh IndiaCivil Engineering Department Dijlah University College Baghdad IraqDepartment of Chemical Engineering and Petroleum Industries Al‐Mustaqbal University College Babylon IraqDepartment of Buildings and Construction Techniques Engineering College of Engineering, Al‐Mustaqbal University Babylon IraqDepartment of Civil Engineering Galgotia College of Engineering Greater Noida IndiaDepartment of Civil Engineering Galgotia College of Engineering Greater Noida IndiaSchool of Civil Engineering and Architecture, Institute of Technology Dire‐Dawa University Dire Dawa EthiopiaABSTRACT This work adopted response surface methodology (RSM) to analyze the behavior of a nanofluid based on propylene glycol. The laboratory conditions in this investigation involve a temperature range of 40°C–120°C and a weight percentage that varies from 0% to 0.5%. Initially viscosity was predicted using Redwood viscometer using the nanofluid solutions. To find the most accurate predictive model and generate an ideal solution, RSM was used. The current study was inspired by the lack of consistency among laboratory behavior and real‐world applications and the statistical‐mathematical analysis of modelers' performance, contrast, and motivations. Two‐factor interaction (2FI), quadratic, cubic, and quartic models are only a few tested. Investigating and evaluating the different statistical features of these modeling functions is a new contribution to the field. The quartic model represents the characteristics of nanofluids with double the accuracy of other models, as shown by statistical analysis. The R2 coefficient, the coefficient of variation (CV%), and the p‐value are compared as metrics for assessing the models. The indexes for the quartic model are 0.9940, 3.53%, and 0.0001, in that order. Nanofluids should have a viscosity of 0.335 m2/s at 120°C along with a weight percentage of 0.5%.https://doi.org/10.1002/eng2.13032coefficient of variation (CV%)mathematical modelsR2 coefficientresponse surface methodologyviscosity |
| spellingShingle | Raviteja Surakasi Salah J. Mohammed Hasan Sh. Majdi Ali Majdi Parveen Berwal Mohammad Amir Khan Wahaj Ahmad Khan Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions Engineering Reports coefficient of variation (CV%) mathematical models R2 coefficient response surface methodology viscosity |
| title | Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions |
| title_full | Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions |
| title_fullStr | Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions |
| title_full_unstemmed | Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions |
| title_short | Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions |
| title_sort | response surface methodology investigation of the viscosity of propylene glycol 100 graphene nanofluid to determine the optimal conditions |
| topic | coefficient of variation (CV%) mathematical models R2 coefficient response surface methodology viscosity |
| url | https://doi.org/10.1002/eng2.13032 |
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