Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
In this study, Response Surface Methodology (RSM) is being used to optimize density, viscosity, and thermal conductivity in CuO-polyaniline/palm oil hybrid nanofluids. Using a Central Composite Design (CCD) within RSM, researchers are systematically exploring the impact of temperature (ranging from...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40001/ http://umpir.ump.edu.my/id/eprint/40001/1/Potential%20coolants%20for%20fuel%20cell%20application_Multi-objective%20optimization.pdf |
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| author | Nurhanis Sofiah, Abd Ghafar Pasupuleti, Jagadeesh Samykano, Mahendran Rajamony, Reji Kumar Pandey, Adarsh Kumar Nur Fatin, Sulaiman Zatil Amali, Che Ramli Tiong, Sieh Kiong Koh, Siaw Paw |
| author_facet | Nurhanis Sofiah, Abd Ghafar Pasupuleti, Jagadeesh Samykano, Mahendran Rajamony, Reji Kumar Pandey, Adarsh Kumar Nur Fatin, Sulaiman Zatil Amali, Che Ramli Tiong, Sieh Kiong Koh, Siaw Paw |
| author_sort | Nurhanis Sofiah, Abd Ghafar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In this study, Response Surface Methodology (RSM) is being used to optimize density, viscosity, and thermal conductivity in CuO-polyaniline/palm oil hybrid nanofluids. Using a Central Composite Design (CCD) within RSM, researchers are systematically exploring the impact of temperature (ranging from 30 to 60 °C), volume concentration of nanoadditives (varying from 0.1 to 0.5 vol%) and CuO composition (ranging from 1 to 10 wt%) on the thermophysical properties of these nanofluids. This research is pioneering in its evaluation of the price performance factor (PPF) for these nanofluids. To ensure model reliability, Analysis of Variance (ANOVA) is being applied. The findings showcase robust models, as indicated by a 45° angle line within the predicted vs. actual data graph. The models exhibit impressive R2 values: 98.66 % for density, 99.93 % for viscosity, and 99.91 % for thermal conductivity, underscoring the agreement between predicted and actual data. Optimal values for density, viscosity, and thermal conductivity are being obtained: 0.901532 g/mL, 37.1229 mPa s, and 0.356891 W/mK, respectively. These correspond to critical parameters of 53.92 °C for temperature, 0.038 vol% for volume concentration of nanoadditives and 2.90 wt% for CuO composition. Moreover, the price performance factor (PPF) assessment reveals that higher thermal conductivity doesn't necessarily equate to greater cost-effectiveness. |
| first_indexed | 2025-11-15T03:36:38Z |
| format | Article |
| id | ump-40001 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:36:38Z |
| publishDate | 2024 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-400012024-01-15T03:25:58Z http://umpir.ump.edu.my/id/eprint/40001/ Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids Nurhanis Sofiah, Abd Ghafar Pasupuleti, Jagadeesh Samykano, Mahendran Rajamony, Reji Kumar Pandey, Adarsh Kumar Nur Fatin, Sulaiman Zatil Amali, Che Ramli Tiong, Sieh Kiong Koh, Siaw Paw T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics In this study, Response Surface Methodology (RSM) is being used to optimize density, viscosity, and thermal conductivity in CuO-polyaniline/palm oil hybrid nanofluids. Using a Central Composite Design (CCD) within RSM, researchers are systematically exploring the impact of temperature (ranging from 30 to 60 °C), volume concentration of nanoadditives (varying from 0.1 to 0.5 vol%) and CuO composition (ranging from 1 to 10 wt%) on the thermophysical properties of these nanofluids. This research is pioneering in its evaluation of the price performance factor (PPF) for these nanofluids. To ensure model reliability, Analysis of Variance (ANOVA) is being applied. The findings showcase robust models, as indicated by a 45° angle line within the predicted vs. actual data graph. The models exhibit impressive R2 values: 98.66 % for density, 99.93 % for viscosity, and 99.91 % for thermal conductivity, underscoring the agreement between predicted and actual data. Optimal values for density, viscosity, and thermal conductivity are being obtained: 0.901532 g/mL, 37.1229 mPa s, and 0.356891 W/mK, respectively. These correspond to critical parameters of 53.92 °C for temperature, 0.038 vol% for volume concentration of nanoadditives and 2.90 wt% for CuO composition. Moreover, the price performance factor (PPF) assessment reveals that higher thermal conductivity doesn't necessarily equate to greater cost-effectiveness. Elsevier Ltd 2024-01 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/40001/1/Potential%20coolants%20for%20fuel%20cell%20application_Multi-objective%20optimization.pdf Nurhanis Sofiah, Abd Ghafar and Pasupuleti, Jagadeesh and Samykano, Mahendran and Rajamony, Reji Kumar and Pandey, Adarsh Kumar and Nur Fatin, Sulaiman and Zatil Amali, Che Ramli and Tiong, Sieh Kiong and Koh, Siaw Paw (2024) Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids. Case Studies in Thermal Engineering, 53 (103931). pp. 1-17. ISSN 2214-157X. (Published) https://doi.org/10.1016/j.csite.2023.103931 https://doi.org/10.1016/j.csite.2023.103931 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Nurhanis Sofiah, Abd Ghafar Pasupuleti, Jagadeesh Samykano, Mahendran Rajamony, Reji Kumar Pandey, Adarsh Kumar Nur Fatin, Sulaiman Zatil Amali, Che Ramli Tiong, Sieh Kiong Koh, Siaw Paw Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids |
| title | Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids |
| title_full | Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids |
| title_fullStr | Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids |
| title_full_unstemmed | Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids |
| title_short | Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids |
| title_sort | potential coolants for fuel cell application: multi-objective optimization of thermophysical properties and ppf calculation of hybrid palm oil nanofluids |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/40001/ http://umpir.ump.edu.my/id/eprint/40001/ http://umpir.ump.edu.my/id/eprint/40001/ http://umpir.ump.edu.my/id/eprint/40001/1/Potential%20coolants%20for%20fuel%20cell%20application_Multi-objective%20optimization.pdf |