Assessment of thermal conductivity of polyethylene glycol-carbon dot nanofluid through a combined experimental-data mining investigation

Journal of Materials Research and Technology

Saeid Azizian¹  Aidin Shaham¹  Mehdi Jamei²  Amin Shahsavar²  Mohamad Amin Mirzaei²  Fatemeh Seifikar³ 

[1] Corresponding author.;Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah, Iran;Faculty of Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Iran;

关键词: Carbon dot nanofluid;    Correlation;    Multi-linear regression;    Polyethylene glycol;    Response surface methodology;    Thermal conductivity;   

DOI  :  

来源: DOAJ

【 摘 要 】

The aim of this study is to determine the effect of nanoparticle concentration (φ) and temperature on the thermal conductivity of polyethylene glycol (PEG)-carbon dot nanofluid (NF). The considered range for temperature and φ is 20–60 °C and 0–7%, respectively. The results indicated an ascending trend of NF thermal conductivity with boosting both temperature and φ. The percentage of increase in thermal conductivity of NF with temperature and φ compared to the base fluid was in the range of 7.23–13.43% and 75.08–85.17%, respectively. Moreover, two efficient data-driven approaches, namely Multi-variate linear regression (MLR) and response surface methodology (RSM) schemes were developed to simulate the thermal conductivity of the PEG-carbon dot NF and fit the predictive relationships. The outcomes of modeling revealed that RSM model (R = 0.984 and RMSE = 0.013 W/m.K), due to taking into account the interaction between volume fraction and temperature, yielded more accuracy than MLR (R = 0.960 and RMSE = 0.021 W/m.K).

【 授权许可】

Unknown