A. A., M. Redhwan and W. H., Azmi and M. Z., Sharif and N. N. M., Zawawi and S., Zainal Ariffin (2020) Utilization of response surface method (RSM) in optimizing automotive air conditioning (AAC) performance exerting Al2O3/PAG nanolubricant. Journal of Physics: Conference series, 1532 (1). pp. 1-12. ISSN 1742-6588 (print); 1742-6596 (online). (Published)
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37. Utilization of Response Surface Method (RSM) in Optimizing Automotive Air Conditioning (AAC).pdf - Published Version Available under License Creative Commons Attribution. Download (976kB) | Preview |
Abstract
. This manuscript examines the performance of automotive air conditioning (AAC) with the variation of the concentration of Al2O3/PAG nanolubricant, initial refrigerant charges, and compressor speed. Today, the response surface methodology (RSM) is one of the most commonly used optimization techniques for designing experimental work and for optimizing variables for a system. In this study, RSM was used to predict response parameters such as cooling capacity and compressor work. Besides, critical relationships between input and response factors will be identified using RSM. Independent variable optimization is carried out using a desirability approach to maximize cooling capacity and minimize the compressor. The results of the RSM analysis found that the optimum conditions with high desirability of 100% were at a concentration of 0.010%, cooling charge of 168 grams and compressive speed of 1160 rpm. At this optimum condition, the AAC system produces a cooling capacity of 1314 kW and a compressor work of 14.19 kJ/kg. The model predicted by RSM is accurate and has been validated in experiments with a deviation of less than 3.4%. Therefore, it can be concluded that RSM can predict optimization parameters that affect AAC performance.
| Item Type: | Article |
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| Additional Information: | Indexed by IOP |
| Uncontrolled Keywords: | Air conditioning; Alumina; Aluminum oxide; Compressors; Surface properties |
| Subjects: | T Technology > TP Chemical technology |
| Faculty/Division: | Faculty of Mechanical & Manufacturing Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 11 Jun 2021 09:05 |
| Last Modified: | 11 Jun 2021 09:05 |
| URI: | http://umpir.ump.edu.my/id/eprint/29376 |
| Download Statistic: | View Download Statistics |
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