Thermophysical Evaluation of Silica Nanoparticles in Refrigerant Compressor Oil for Enhanced Refrigeration Performance

The thermo-physical properties of nanolubricants are essential for assessing their suitability in refrigeration systems.This study uses a two-step method to explore the preparation and characterization of a novel nanolubricant by dispersing SiO2 nanoparticles into compressor lubricants.The composition of SiO2 was analyzed via SEM-EDS and FTIR, while XRD confirmed its amorphous nature.Density, viscosity, and thermal conductivity were measured at room temperature for SiO2 nanoparticles suspended in mineral and synthetic oils at different fractions (0.1%, 0.3%, 0.5%, and 0.7%) by volume.Performance improvements were compared to base lubricants.Results indicate that increasing SiO2 concentration enhances density, viscosity, and thermal conductivity in both lubricant types.The highest density occurs at a 0.7% volume fraction, reaching 819.83 kg/m (mineral) and 861.22 kg/m' (synthetic).The peak viscosity is also observed at 0.7%, measuring 36.97 mPa s (mineral) and 65.39mPa s (synthetic).For synthetic nanolubricants, the maximum density increase (5.29%) appears at 0.3%, while viscosity rises by 77.81% at the same fraction.Thermal conductivity peaks at 0.7%, with values of 0.1105 W/m K (mineral) and 0.1375 W/m K (synthetic), achieving a 26.12% increase at 0.5%.The superior performance of synthetic nanolubricants over mineral ones suggests that they may enhance the efficiency of refrigeration systems.

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Publication Details

Journal
International Journal of Heat and Technology
Published
2025-02-28
DOI
https://doi.org/10.18280/ijht.430118
Citations
2
Primary Topic
Adsorption and Cooling Systems
Type
article
Field-Weighted Citation Impact
1.43
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article

Thermophysical Evaluation of Silica Nanoparticles in Refrigerant Compressor Oil for Enhanced Refrigeration Performance

Muhammad Ehtesham ul Haque, Adeel Ahmed Khan
2 citations
International Journal of Heat and Technology
Adsorption and Cooling Systems
1.43
article

Thermophysical Evaluation of Silica Nanoparticles in Refrigerant Compressor Oil for Enhanced Refrigeration Performance

Muhammad Ehtesham ul Haque, Adeel Ahmed Khan
article en
2 citations

Abstract

The thermo-physical properties of nanolubricants are essential for assessing their suitability in refrigeration systems.This study uses a two-step method to explore the preparation and characterization of a novel nanolubricant by dispersing SiO2 nanoparticles into compressor lubricants.The composition of SiO2 was analyzed via SEM-EDS and FTIR, while XRD confirmed its amorphous nature.Density, viscosity, and thermal conductivity were measured at room temperature for SiO2 nanoparticles suspended in mineral and synthetic oils at different fractions (0.1%, 0.3%, 0.5%, and 0.7%) by volume.Performance improvements were compared to base lubricants.Results indicate that increasing SiO2 concentration enhances density, viscosity, and thermal conductivity in both lubricant types.The highest density occurs at a 0.7% volume fraction, reaching 819.83 kg/m (mineral) and 861.22 kg/m' (synthetic).The peak viscosity is also observed at 0.7%, measuring 36.97 mPa s (mineral) and 65.39mPa s (synthetic).For synthetic nanolubricants, the maximum density increase (5.29%) appears at 0.3%, while viscosity rises by 77.81% at the same fraction.Thermal conductivity peaks at 0.7%, with values of 0.1105 W/m K (mineral) and 0.1375 W/m K (synthetic), achieving a 26.12% increase at 0.5%.The superior performance of synthetic nanolubricants over mineral ones suggests that they may enhance the efficiency of refrigeration systems.

International Journal of Heat and TechnologyVol. 43(1)
NED University of Engineering and Technology (PK)
Affordable and clean energy
Openalex Percentile: Top 22%
Adsorption and Cooling Systems
1.43
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Thermophysical Evaluation of Silica Nanoparticles in Refrigerant Compressor Oil for Enhanced Refrigeration Performance — Muhammad Ehtesham ul Haque, Adeel Ahmed Khan · International Journal of Heat and Technology (2025) | TGRS Research Map | TGRS