Artificial neural network approach for irreversibility performance analysis of domestic refrigerator by utilizing LPG with TiO2–lubricant as replacement of R134a. (May 2018)

• Record Type: Journal Article
• Authors: Gill, Jatinder; Singh, Jagdev; Ohunakin, Olayinka S.; Adelekan, Damola S.
• Is Part Of: International journal of refrigeration. Volume 89(2018)
• Page Start: 159
• Page End: 176
• Publication Date: 2018-05
• Subjects: R134a -- LPG -- TiO2 nanoparticle -- ANN -- Total irreversibility -- Second law efficiency; R134a -- GPL -- Nanoparticule de TiO2 -- ANN -- Irréversibilité totale -- Rendement exergétique; Refrigeration and refrigerating machinery -- Periodicals; 621.56
• DOI: 10.1016/j.ijrefrig.2018.02.025
• Languages: English
• ISSNs: 0140-7007

Abstract

Abstract: This paper experimentally investigated irreversibility performance analysis of domestic refrigerator using 40 g, 50 g, 60 g and 70 g of LPG refrigerant with varying concentration of TiO2 nanoparticles dispersed in a mineral oil lubricant as replacement of R134a. The irreversibility performance analysis of the domestic refrigerator investigated with test parameters including irreversibility in the components, total irreversibility, and second law efficiency. Findings showed that under similar operating conditions irreversibilities in condenser, capillary tube, evaporator and compressor of the domestic refrigerator using LPG refrigerant with lubricant TiO2 –mineral oil found lower than R134a by 6.05–48.10%, 17.83–46.98%, 2.51–33.17% and 2.21–23.29% respectively. Additionally, total irreversibility and second law efficiency in the domestic refrigerator using LPG refrigerant with TiO2, nanoparticles dispersed in a mineral oil lubricant found lower and higher than R134a by around 0.65–35.97% and 6.23–54.74% respectively. All in all 0.4 g L −1 of TiO2 and 40 g of LPG charge were the attained optimal values of nanoparticle concentration and LPG charge respectively in the domestic refrigerator utilizing LPG as replacement of R134a. Artificial Neural Networks (ANN) approach to delineate total irreversibility and second law efficiency of the domestic refrigerator was additionally applied to develop the models. It found that ANN models predictions concurred well with experimental results and brought out an absolute fraction of variance of (0.989–0.990), root mean square error of (0.831–1.061) and mean absolute percentage error of (1.734–2.056%) respectively with experimental results. Highlights: Irreversibility performance analysis of domestic refrigerator using R134a and LPG with TiO2–MO nano-based lubricant oils carried out. Irreversibilities in the components of the domestic refrigerator using LPG refrigerant with TiO2–MO nano-based lubricant found lower than R134a. Highest second law efficiency observed with 0.4 g L − 1 of TiO2 and 40 g of LPG charge. ANN models for total irreversibility and second law efficiency were developed, and statistical performance was measured. ANN models predictions were observed to be in high concurrence with the experimental results.