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Analysis of Particle Contamination in Plasma Reactor by 2-Sized Particle Growth Model
Kim, Dong-Joo,Lyoo, Pil Jo,Kim, Kyo-Seon 한국화학공학회 2003 Korean Journal of Chemical Engineering Vol.20 No.2
Rapid particle growth in the silane plasma reactor by coagulaton between 2-sized particles was analyzed for various process conditions. The particle coagulation rate was calculated considering the effects of particle charge distribution based on the Gaussian distribution function. The large size particles are charged more negatively than the small size particles. Some fractions of small size particles are in neutral state or charged positively, depending on the plasma conditions. The small size particle concentration increase at first and decreases later and reaches the steady state by the balance of generation rate and coagulation rate. The large size particles grow with discharge time by coagulation with small size particles and their size reaches the steady state, while the large size particle concentration increase with discharge time by faster generation rate and reaches the steady state by the balance of generation and disappearance rates. As the diameter of small size particles decreases, the diameter of large size particles increases more quickly by the faster coagulation with small size particles of higher concentration. As the residence time increases, the concentration and size of large size particles increase more quickly and the average charges per small size and large size particle decrease.
신대한(Dae Han Shin),임상혁(Sang Huyck Leem),안다운(Dawn An),최주호(Joo-Ho Choi) 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.11
In this study, crack growth in a center-cracked plate is predicted under mode I variable amplitude loading, and the result is validated by experiment. In this paper to focus airplane experiment the typical loading spectrum on the plane fuselage for the effective crack growth. The Huang’s model is employed to describe crack growth with acceleration and retardation due to the variable loading effect. Experiment is conducted with Al6061-T6 plate considered plane fuselage, in which the load is applied, and crack length is measured periodically. Particle Filter algorithm, which is based on the Bayesian approach, is used to estimate model parameters from the experimental data, and predict the crack growth of the future in the probabilistic way. The prediction is validated by the run-to-failure results, from which it is observed that the method predicts well the unique behavior of crack growth and the more data are used, the closer prediction we get to the actual run-to-failure data.
조대철 순천향대학교 부설 산업기술연구소 2000 순천향 산업기술연구소논문집 Vol.6 No.2
A mechanistic growth model with a simple flux-dependent diffusion limitation was proposed in order to investigate bacterial growth and decay on the surfaces of media particles used in biofiltration. The size of media particles was estimated to be slightly dependent on the number of active cells as well as the thickness of the attached cell layers. In the model, the flux ratio was almost constant over time (about 3 days) and the natural cell decay rate would strongly affect on both cell growth and decay. A simulated prediction of cell growth was compared to one of experimental data.
Moon, Joonoh,Lee, Jongbong,Lee, Changhee Elsevier 2007 Materials science & engineering. properties, micro Vol.459 No.1
<P><B>Abstract</B></P><P>A model to predict the austenite grain size in a Ti-microalloyed steel weld heat affected zone (HAZ) was developed. Grain boundary mobility for the austenite grain growth was expressed as a function of aging temperature and alloying elements. By analyzing isothermal austenite grain growth behavior, the Zener coefficient of cubic TiN particle was measured. From quantification of the effect of grain boundary pinning by TiN particle and alloying elements on the grain boundary mobility, an isothermal grain growth model of Ti-microalloyed steel is presented. The predicted austenite grain sizes from the proposed model were in agreement with the experimental results. Finally, combining with the additivity rule, a general austenite grain growth model during the continuous welding thermal cycle was developed.</P>
Kai Huang,Ruijin Xie 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.1
A mathematical model of the molecular weight distribution (MWD) based on a particle growth modeland the kinetic scheme is developed to simulate the MWD of the slurry phase propylene polymerizationon a silica-supported metallocene catalyst by means of the equations of moments. The model is used topredict molecular weight distribution, including the number-average molecular weight, the weight-average molecular weight, and the polydispersity index. The results show that the mass transfer hasgreat influence on the polymerization reaction, and it can broaden the MWD especially; moreover, theMWD can be evaluated by simulation; the average molecular weight increases as pressure ortemperature, and MWD shifts to long chain lengths as the effective diffusion coefficient increasingthought the influence is not remarkable; furthermore, the MWD’s simulation results are calculated,which fit greatly with the experimental data.
최주호(Joo-Ho Choi),안다운(Dawn An),강진혁(Jin Hyuk Gang) 제어로봇시스템학회 2011 제어·로봇·시스템학회 논문지 Vol.17 No.11
In this paper, PHM (Prognostics and Health Management) techniques are briefly outlined. Prognostics, being a central step within the PHM, is explained in more detail, stating that there are three approaches ? experience based, data-driven and model based approaches. Representative articles in the field of prognostics are also given in terms of the type of faults. Model based method is illustrated by introducing a case study that was conducted to the crack growth of the gear plate in UH-60A helicopter. The paper also addresses the comparison of the OBM (Overall Bayesian Method), which was developed by the authors with the PF (Particle Filtering) method, which draws great attention recently in prognostics, through the study on a simple crack growth problem. Their performances are examined by evaluating the metrics introduced by PHM society.