Response surface method optimization of SiO2/POE nanolubricant performance for electrically powered compressor of air-conditioning system.
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| Title: | Response surface method optimization of SiO |
|---|---|
| Authors: | Hamisa, A. H.1,2 (AUTHOR) hamisa@ucyp.edu.my, Azmi, W. H.1,3 (AUTHOR) wanazmi2010@gmail.com, Zawawi, N. N. M.3 (AUTHOR) naal30@gmail.com, Ali, Hafiz Muhammad4,5 (AUTHOR) hafiz.ali@kfupm.edu.sa |
| Source: | Journal of Thermal Analysis & Calorimetry. Aug2026, Vol. 151 Issue 18, p15499-15517. 19p. |
| Subjects: | Compressor performance, Air conditioning efficiency, Air conditioning, Response surfaces (Statistics), Compressors |
| Abstract: | The operational parameters of an electrically powered compressor in an air-conditioning (AC) system for an electric vehicle affect its performance. The efficacy of the AC system was optimized by incorporating SiO2/POE nanolubricants using the response surface method (RSM). The quadratic models in RSM successfully identified notable associations between the input variables and the outcomes. The optimization of parameter values in the experiment was achieved using the desirability approach with a face-centered design. The findings indicated that optimal operational parameters could result in enhanced heat absorb, reduced compressor workload, lower discharge temperature from the expansion valve, and lower power consumption. The optimal values regarding expansion valve discharge temperature, heat absorb, power consumption, and compressor operation were found to be 10.28 °C, 19.91 kJ kg−1, 116.66 W, and 5.34 kJ kg−1, respectively. The most effective operating conditions for the compressor were determined to be 1808 rpm, an initial refrigerant charge of 160 g, and a volume concentration of 0.013%. These parameters resulted in the highest desirability score of 0.941. The operational parameters were predicted and validated through a test run under optimal conditions. The results demonstrated substantial concordance between the predicted and validated values. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Thermal Analysis & Calorimetry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 196472099 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Response surface method optimization of SiO<subscript>2</subscript>/POE nanolubricant performance for electrically powered compressor of air-conditioning system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hamisa%2C+A%2E+H%2E%22">Hamisa, A. H.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hamisa@ucyp.edu.my</i><br /><searchLink fieldCode="AR" term="%22Azmi%2C+W%2E+H%2E%22">Azmi, W. H.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> wanazmi2010@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zawawi%2C+N%2E+N%2E+M%2E%22">Zawawi, N. N. M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> naal30@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Hafiz+Muhammad%22">Ali, Hafiz Muhammad</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<i> hafiz.ali@kfupm.edu.sa</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Thermal+Analysis+%26+Calorimetry%22">Journal of Thermal Analysis & Calorimetry</searchLink>. Aug2026, Vol. 151 Issue 18, p15499-15517. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Compressor+performance%22">Compressor performance</searchLink><br /><searchLink fieldCode="DE" term="%22Air+conditioning+efficiency%22">Air conditioning efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Air+conditioning%22">Air conditioning</searchLink><br /><searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Compressors%22">Compressors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The operational parameters of an electrically powered compressor in an air-conditioning (AC) system for an electric vehicle affect its performance. The efficacy of the AC system was optimized by incorporating SiO2/POE nanolubricants using the response surface method (RSM). The quadratic models in RSM successfully identified notable associations between the input variables and the outcomes. The optimization of parameter values in the experiment was achieved using the desirability approach with a face-centered design. The findings indicated that optimal operational parameters could result in enhanced heat absorb, reduced compressor workload, lower discharge temperature from the expansion valve, and lower power consumption. The optimal values regarding expansion valve discharge temperature, heat absorb, power consumption, and compressor operation were found to be 10.28 °C, 19.91 kJ kg−1, 116.66 W, and 5.34 kJ kg−1, respectively. The most effective operating conditions for the compressor were determined to be 1808 rpm, an initial refrigerant charge of 160 g, and a volume concentration of 0.013%. These parameters resulted in the highest desirability score of 0.941. The operational parameters were predicted and validated through a test run under optimal conditions. The results demonstrated substantial concordance between the predicted and validated values. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Thermal Analysis & Calorimetry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10973-026-16063-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 15499 Subjects: – SubjectFull: Compressor performance Type: general – SubjectFull: Air conditioning efficiency Type: general – SubjectFull: Air conditioning Type: general – SubjectFull: Response surfaces (Statistics) Type: general – SubjectFull: Compressors Type: general Titles: – TitleFull: Response surface method optimization of SiO2/POE nanolubricant performance for electrically powered compressor of air-conditioning system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hamisa, A. H. – PersonEntity: Name: NameFull: Azmi, W. H. – PersonEntity: Name: NameFull: Zawawi, N. N. M. – PersonEntity: Name: NameFull: Ali, Hafiz Muhammad IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13886150 Numbering: – Type: volume Value: 151 – Type: issue Value: 18 Titles: – TitleFull: Journal of Thermal Analysis & Calorimetry Type: main |
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