31 تیر 1403
امين شهسوارگلدانلو

امین شهسوارگلدانلو

مرتبه علمی: استادیار
نشانی: دانشگاه صنعتی کرمانشاه - دانشکده مهندسی - گروه مهندسی مکانیک
تحصیلات: دکترای تخصصی / مهندسی مکانیک
تلفن:
دانشکده: دانشکده مهندسی

مشخصات پژوهش

عنوان
Assessment of thermal conductivity of polyethylene glycol-carbon dot nanofluid through a combined experimental-data mining investigation
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Carbon dot nanofluid Correlation Multi-linear regression Polyethylene glycol Response surface methodology Thermal conductivity
پژوهشگران امین شهسوارگلدانلو (نفر اول)، ایدین شهام (نفر دوم)، محمد امین میرزایی (نفر سوم)، مهدی جامعی (نفر چهارم)، فاطمه صیفکار (نفر پنجم)، سعید عزیزان (نفر ششم به بعد)

چکیده

The aim of this study is to determine the effect of nanoparticle concentration ð4Þ and temperature on the thermal conductivity of polyethylene glycol (PEG)-carbon dot nanofluid (NF). The considered range for temperature and 4 is 20e60 C and 0e7%, respectively. The results indicated an ascending trend of NF thermal conductivity with boosting both temperature and 4. The percentage of increase in thermal conductivity of NF with temperature and 4 compared to the base fluid was in the range of 7.23e13.43% and 75.08e85.17%, 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 ¼ 0.984 and RMSE ¼ 0.013 W/m.K), due to taking into account the interaction between volume fraction and temperature, yielded more accuracy than MLR (R ¼ 0.960 and RMSE ¼ 0.021 W/m.K). © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC