Thermal Conductivity of Cu2O-TiO2 Composite -Nanofluid Based on Maxwell model

نویسندگان

  • A. Subramaniyan Department of Physics, Thiagarajar College of Engineering, Madurai-625015, India
  • R. Ilangovan Department of Nanoscience and Nanotechnology, Alagappa University, Karaikudi-630003, India
چکیده مقاله:

 Nanofluids are colloidal suspension of nanoparticles in a base fluid and have superior thermal properties in comparison to their base fluids. Novel properties of nanofluids are yet to be explored to the highest potential. Currently extensive investigation has been done on thermal conductivity of metallic and oxide nanofluids. Composites offer the advantage of tailor made properties and fluids with nano composite can offer tunable thermal conductivities.The present work deals with investigation on thermal conductivity of Cu2O-TiO2 nanocomposites with water as base fluid using Maxwell model for different volume fractions of anophase. The thermal conductivity variation is analyzed with respect to olume fraction of each phase of the nanocomposite.also by varying volume fraction of the individual phase of anocomposites. The highest thermal conductivity was obtained for the Cu2O-TiO2 (1:9) with water as base fluid. The results depend on the shape of Cu 2O-TiO2, viscosity of nanofluid, interfacial layer thickness and size of nanoparticle due to the constraints in Maxell thermal conductivity equation.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

thermal conductivity of cu2o-tio2 composite -nanofluid based on maxwell model

nanofluids are colloidal suspension of nanoparticles in a base fluid and have superior thermal properties in comparison to their base fluids. novel properties of nanofluids are yet to be explored to the highest potential. currently extensive investigation has been done on thermal conductivity of metallic and oxide nanofluids. composites offer the advantage of tailor made properties and fluids w...

متن کامل

Nanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network

Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...

متن کامل

Physico-Acoustic Study on Thermal Conductivity of Silver Nanofluid

Low transmission of heat is one of the major problems for heat exchanger fluids in many industrial and scientific applications. This includes cooling of the engines, high power transformers to heat exchangers in solar hot water panels or in refrigeration systems. In order to tackle these problems in thermal industries, nanofluids could play a significant role as excellent heat exchanger materia...

متن کامل

A Theoretical Study on Thermal Conductivity of Zn - Nanofluid

A coupled molecular dynamics (MD)-stochastic model has been developed for predicting the thermal conductivity of a hypothetical water based Zn-nanofluid taking into account the heat transfer during and after collision of the nanoparticles with the heat source. The model has predicted a somewhat lower enhancement in thermal conductivity of water based Zn-nanofluid compared to water based Cu-nano...

متن کامل

The Study of Thermal Conductivity Silver/Water Nanofluid

In present study, the thermal conductivity of silver/water nanofluid was investigated experimentally. Four different volume concentrations of nanofluids (2, 3, 5 and 10%) were prepared by dispersing silver nanoparticles in water. The properties of nanofluids were measured by varying the temperature from 20ºC to 100ºC and also, different sizes of nanoparticles dispersed in water (20-30, 50-60 an...

متن کامل

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

15 صفحه اول

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 11  شماره 1

صفحات  59- 62

تاریخ انتشار 2015-03-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023