Testing algorithm for heat transfer performance of nanofluid-filled heat pipe based on neural network
Author:
Open Access
- 1 January 2020
- journal article
- research article
- Published by Walter de Gruyter GmbH in Open Physics
- Vol. 18 (1) , 751-760
Abstract
Traditional testing algorithm based on pattern matching is impossible to effectively analyze the heat transfer performance of heat pipes filled with different concentrations of nanofluids, so the testing algorithm for heat transfer performance of a nanofluidic heat pipe based on neural network is proposed. Nanofluids are obtained by weighing, preparing, stirring, standing and shaking using dichotomy. Based on this, the heat transfer performance analysis model of the nanofluidic heat pipe based on artificial neural network is constructed, which is applied to the analysis of heat transfer performance of nanofluidic heat pipes to achieve accurate analysis. The experimental results show that the proposed algorithm can effectively analyze the heat transfer performance of heat pipes under different concentrations of nanofluids, and the heat transfer performance of heat pipes is best when the volume fraction of nanofluids is 0.15%.Keywords
This publication has 18 references indexed in Scilit:
- A Feasibility Study About Using SiO2Nanofluid Screen Mesh Wick Heat Pipe for Cooling of High-Power LEDsHeat Transfer Engineering, 2015
- Effect of using nanofluids on the performance of rotating heat pipeApplied Mathematical Modelling, 2015
- Numerical Simulation of the Thermal Performance of a Nanofluid Filled Heat PipeHeat Transfer Engineering, 2015
- Temperature Dependent Heat Transfer Performance of Multi-walled Carbon Nanotube-based Aqueous Nanofluids at Very Low Particle LoadingsJohnson Matthey Technology Review, 2015
- Measurement of the heat transfer coefficient of a nanofluid based on water and copper oxide particles in a cylindrical channelHigh Temperature, 2015
- Review of heat transfer in nanofluids: Conductive, convective and radiative experimental resultsRenewable and Sustainable Energy Reviews, 2015
- Thermal Performance Enhancement of L-Shaped Microgrooved Heat Pipe Containing Water-Based Al2O3NanofluidsHeat Transfer Engineering, 2014
- An Experimental Study of Heat Pipe Performance Using NanofluidsInternational Journal of Green Energy, 2014
- Thermal Performance Prediction of Two-Phase Closed Thermosyphon Using Adaptive Neuro-Fuzzy Inference SystemHeat Transfer Engineering, 2014
- Heat Transfer Performance Of Viscoelastic-Fluid-Based Nanofluid Pipe Flow At Entrance RegionExperimental Heat Transfer, 2014