TY - JOUR
TI - Analysis of micro-motion of nanofluid particles based on machine vision
AU - Wei Chao
JN - Thermal Science
PY - 2021
VL - 25
IS - 6
SP - 4145
EP - 4151
PT - Article
AB - In order to accurately analyze the motion characteristics of nanofluid  particles in the flow state, a method for micro-motion analysis of nanofluid  particles based on machine vision was proposed. The influence of temperature  on the micro-motion of nanoparticles was studied by establishing a  water-based near-wall flow simulation model of nanofluids, and the  Lennard-Jones potential parameters of nanofluids were obtained. Machine  vision imaging technology is used to establish a reference system for  nanofluid particles micro-motion image acquisition. Based on this system,  the micro-motion images of nanofluid particles are collected, and the  micro-motion characteristics of nanofluid particles are accurately  detected. An experimental measuring platform composed of optical system and  electronic system is established. The rotational and translational motions  of nanoparticles and the velocity and temperature distributions of  nanofluids are obtained. It was found that the velocity gradient of the  nanofluid near the wall was higher than that of the base liquid, and the  temperature of the nanofluid near the wall was significantly higher than  that of the single-phase base liquid. The experimental results show that  the velocity and temperature distributions of nanofluids at different  temperatures can be obtained by using this method.