Prof. Mingzhou Yu
China Jiliang University (CJLU)
Mingzhou Yu is now a full Professor at China Jiliang University (CJLU). He was selected by National Ten Thousand People Program and Humboldt Fellow. He received his PhD degree from Zhejiang University in 2008. During the time period between 2009 and 2012, he moved to Karlsruhe Institute of Technology, Germany, as a Alexander von Humboldt researcher where he worked with Prof. Gerhard Kasper and Dr. Martin Seipenbusch. From 2013 to 2018, he joined Prof. Junji Cao's research group at Key Laboratory of Aerosol Chemistry and Physics, Chinese Academy of Science as a guest Professor. He also worked in The Hongkong Polytechnic University (2013) and Universidad Autónoma de Madrid, Spain (2015-2016), as a research associate or postdoc researcher. His research mainly includes multiphase flow control, precise measurement, advanced manufacturing, Metrology Technology and Standardization.
Speech Title: New methods for Nanoparticle Dynamics during Measurement and Control
Abstract: In this conference talk, I will introduce a method for resolving nanoparticle dynamics during measurement and control. I will focus the synthesis and utilization of engineered nanoparticle dynamics (ENP), which is an active industrial field that provides great opportunities for making advanced materials with unique physical-chemical and biological properties. However, regardless of the synthesis process or the utilization process, the evolution of number distribution cannot be stopped because of free moleculars’ thermal movement, even without any human’s affection, which results in particles collision, size grow and number decrease. Such micro-physics or chemical processes are actually heat and mass transfer processes between the dispersed phase and continuum phase. Whether we can control the evolution of size distribution of ENPs not only decide the final quality of ENPs’ product but also determine whether we can remove or reduce the negative effect of EPNs on human health. Therefore, the precise and high efficient mathematical model for describing the process becomes important in the chemical engineering processes and environmental engineering. We proposed two schemes for resolving the evolution of size distributions. In this talk, I will present how the method is implemented and how this method can be used to solve practical particle dynamics evolution problems