Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method

A variety of operational parameters can influence the operation of an automobile air-conditioning (AAC) system. This issue is solved by using optimization techniques that can recommend the ideal parameters for the best results. To improve the performance of AAC system usings Al2O3-SiO2/PAG composite...

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Main Authors: Nurul Nadia, Mohd Zawawi, Wan Hamzah, Azmi, Mohamad Redhwan, Abd Aziz, Ramadhan, Anwar Ilmar, Ali, Hafiz Muhammad
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40226/1/Optimization%20of%20air%20conditioning%20performance%20with%20Al2O3-SiO2_PAG.pdf
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author Nurul Nadia, Mohd Zawawi
Wan Hamzah, Azmi
Mohamad Redhwan, Abd Aziz
Ramadhan, Anwar Ilmar
Ali, Hafiz Muhammad
author_facet Nurul Nadia, Mohd Zawawi
Wan Hamzah, Azmi
Mohamad Redhwan, Abd Aziz
Ramadhan, Anwar Ilmar
Ali, Hafiz Muhammad
author_sort Nurul Nadia, Mohd Zawawi
collection UMP
description A variety of operational parameters can influence the operation of an automobile air-conditioning (AAC) system. This issue is solved by using optimization techniques that can recommend the ideal parameters for the best results. To improve the performance of AAC system usings Al2O3-SiO2/PAG composite nanolubricants, the response surface method (RSM) was employed. RSM was used to design the experimental work, which was based on a face composite design (FCD). The RSM quadratic models were helpful in determining the links between the input parameters and the responses. The addition of composite nanolubricants improved the overall performance of AAC systems. The parameters were optimized using the RSM’s desirability approach, with the goal of increasing cooling capacity and the coefficient of performance (COP), while reducing compressor work and power consumption. The ideal parameters for the AAC system were found to be 900 rpm compressor speed, 155 g refrigerant charge, and 0.019% volume concentration, with a high desirability of 81.60%. Test runs based on the optimum circumstances level were used to estimate and validate cooling capacity, compressor work, COP, and power consumption. Both predicted and measured values were in good agreement with each other. A new RSM model was successfully developed to predict the optimal conditions for AAC system performance.
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spelling UMPir402262024-02-13T03:26:24Z http://umpir.ump.edu.my/id/eprint/40226/ Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method Nurul Nadia, Mohd Zawawi Wan Hamzah, Azmi Mohamad Redhwan, Abd Aziz Ramadhan, Anwar Ilmar Ali, Hafiz Muhammad T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics A variety of operational parameters can influence the operation of an automobile air-conditioning (AAC) system. This issue is solved by using optimization techniques that can recommend the ideal parameters for the best results. To improve the performance of AAC system usings Al2O3-SiO2/PAG composite nanolubricants, the response surface method (RSM) was employed. RSM was used to design the experimental work, which was based on a face composite design (FCD). The RSM quadratic models were helpful in determining the links between the input parameters and the responses. The addition of composite nanolubricants improved the overall performance of AAC systems. The parameters were optimized using the RSM’s desirability approach, with the goal of increasing cooling capacity and the coefficient of performance (COP), while reducing compressor work and power consumption. The ideal parameters for the AAC system were found to be 900 rpm compressor speed, 155 g refrigerant charge, and 0.019% volume concentration, with a high desirability of 81.60%. Test runs based on the optimum circumstances level were used to estimate and validate cooling capacity, compressor work, COP, and power consumption. Both predicted and measured values were in good agreement with each other. A new RSM model was successfully developed to predict the optimal conditions for AAC system performance. MDPI 2022-10 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/40226/1/Optimization%20of%20air%20conditioning%20performance%20with%20Al2O3-SiO2_PAG.pdf Nurul Nadia, Mohd Zawawi and Wan Hamzah, Azmi and Mohamad Redhwan, Abd Aziz and Ramadhan, Anwar Ilmar and Ali, Hafiz Muhammad (2022) Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method. Lubricants, 10 (243). pp. 1-21. ISSN 2075-4442. (Published) https://doi.org/10.3390/lubricants10100243 https://doi.org/10.3390/lubricants10100243
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Nurul Nadia, Mohd Zawawi
Wan Hamzah, Azmi
Mohamad Redhwan, Abd Aziz
Ramadhan, Anwar Ilmar
Ali, Hafiz Muhammad
Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method
title Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method
title_full Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method
title_fullStr Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method
title_full_unstemmed Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method
title_short Optimization of air conditioning performance with Al2O3-SiO/PAG composite nanolubricants using the response surface method
title_sort optimization of air conditioning performance with al2o3 sio pag composite nanolubricants using the response surface method
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/40226/1/Optimization%20of%20air%20conditioning%20performance%20with%20Al2O3-SiO2_PAG.pdf
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