Prof. Mohammad Mehdi Rashidi
Tongji university, China
Micro Fluidics, CFD, Wind Tunnel, Heat and Mass Transfer
Speech title: Molecular Dynamics Simulation of Two-phase Flow of Argon in Rough Nanochannels with Different Rough Geometries
The simulation of two-phase flow of Argon inside nanochannels with rough elements on the lower walls is studied using molecular dynamics method. Simulation is done by considering two different roughness geometry and height to investigate the interface properties of condensation flow. Density, velocity and temperature profiles are obtained and compared with the results of flow in smooth nanochannel. Furthermore, the effect of surface structure on the condensation growth and the number of atoms that transfer from the vapor to liquid phase is investigated. It is observed that rough elements reduce the magnitude of density fluctuations near the rough walls. Also velocity level and temperature decrease as a result of adding rough elements. Comparing to smooth nanochannels, it is concluded that rough surfaces increase the condensation rate and empowers phase transition in nano-scale so that these changes depend on the geometry and height of the roughness and the higher the height, the more the flow is affected.
A.Prof. Juan Du
South China University of Technology, China
Research and development of precision manufacturing equipment and high-end intelligent equipment, the application of machine vision, defect detection system and intelligent control system.
Speech title: Intelligent Detection Solution in Traditional Injection Molding Industry
At present, there are more than 200 domestic registered manufacturers of visual inspection equipment in China. According to the survey, most of the visual inspection equipment manufacturers do not have defect detection equipment for injection molding parts with multi-shape and multi-size, thus unable to meet the product quality demand of industrial flow line. Visual inspection equipment manufacturers in the market only provide a small number of customized defect detection equipment for products with special requirements. This customized production model creates the bottleneck of long production cycle, high cost and unable to provide mass production of visual inspection equipment, thus cannot effectively promote the automation of product detection in intelligent manufacturing. Using defect detection equipment in injection molding production line and realizing control connection with injection molding equipment on production line are critical to achieving real-time visual defect detection, judgment and sorting of good and bad parts, obtaining feedback and correction of defect information. In general, versatility and flexibility will be the important ingredients in the development of visual inspection equipment in injection molding industry.