報告題目：The basics of TEMOM for Brownian Coagulation
　　報告時間：2018年5月9日10:30
　　報告地點：仰儀南樓207會議室
　　報告人：謝明亮，華中科技大學副教授。1996年、2004年、2007年在武漢科技大學、武漢科技大學、浙江大學分別獲得工學學士、碩士和博士學位。1996年7月-2001年8月工作于寶鋼股份黃石分公司，2007年7月-2009年8月，在華中科技大學動力工程與工程熱物理博士后流動站從事博士后研究工作，其中分別于2008年8月-2009年6月和2009年5月－8月在香港理工大學機械工程系作訪問學者，2011年9月至2012年9月工作于美國特拉華州立大學，現工作于華中科技大學煤燃燒國家重點實驗室，副教授。發表40余篇SCI論文。
　　報告內容：In coal combustion process, aerosol dynamics plays an important role. In 2008, Yu and Lin have proposed a moment-based approach, termed as the Taylor series expansion method of moment (TEMOM), to approximate the population balance equation which governs the coal particles in combustion flows. This approach makes no prior assumption on the shape of particle size distribution; the derivation of TEMOM is completely based on Taylor series expansion. In 2012, my collaborators and I developed a compact and fast MATLAB program coupled with TEMOM to simulate the effect of coherent structures on the particle Brownian coagulation in the temporal mixing layer (JAS, 2012). The results show that the particle coagulation within the eddy core has an obvious wave-like distribution similar to the large-scale eddy structures, which indicate that the relative growth rate is slow at long times, and the system bottleneck is the advection and diffusion.
　　The self-similarity also implies that the effect of coagulation and effect of mixing by advection and diffusion on particle growth could be modeled separately. Since the TEMOM moment method was proposed in 2008, it has been widely discussed by scholars all around the world. They proposed some fundamental problems for TEMOM model, such as the uniqueness of the expansion, the effectiveness for the closuring fractional moments, the choice of the expansion point, the convergence of the analytical solutions, and the inverse problem, etc. Some problem has been clariRied taking the TEMOM model for Brownian coagulation in the free molecule regime as an example (HMT, 2014). And most of the fundamental problems can be attributed to the error analysis of TEMOM model; based on the lognormal size distribution assumption, the system errors are obtained for different TEMOM models due to Brownian coagulation (AST, 2016).
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機電學院
2018年5月8日