A model for knowledge transfer in a multi-agent organization based on lattice kinetic model

A study on knowledge transfer in a mutli-agent organization is performed by applying the basic principle in physics such as the kinetic theory.Based on the theoretical analysis of the knowledge accumulation process and knowledge transfer attributes,a special type of knowledge field(KF)is introduced and the knowledge diffusion equation(KDE)is developed.The evolution of knowledge potential is modeled by lattice kinetic equation and verified by numerical experiments.The new equation-based modeling developed in this paper is meaningful to simulate and predict the knowledge transfer process in firms.The development of the lattice kinetic model(LKM)for knowledge transfer can contribute to the knowledge management theory,and the managers can also simulate the knowledge accumulation process by using the LKM.

非平衡与多相复杂系统模拟研究——Lattice Boltzmann动理学理论与应用

在自然界和工程物理领域存在大量的非平衡、多相等复杂系统和复杂行为。Lattice Boltzmann(LB)方法起源于复杂系统复杂行为研究的格子气或元胞自动机模型;其中,现代版的Lattice Boltzmann Kinetic Model(LBKM)植根于非平衡统计物理学的基本方程—Boltzmann方程。本文从物理学视角评述LB方法,给出单松弛因子和多松弛因子LBKM构建的统一理论,介绍其在非平衡与多相复杂系统研究方面的应用。简单列举LB在多相流、可压流、材料动理学等方面的进展,重点介绍使用LB研究流体界面不稳定性、燃烧等问题的工作。本文所重点传递的信息为:可以通过宏观量研究系统的非平衡行为、可以提供系统偏离热力学平衡引发的宏观效应是LBKM建模优越于宏观连续介质建模的地方;除了可以从更基本的层面理解相应物理系统的特征、机制和规律外,这类研究结果可以为现有程序或软件中宏观模型的改进(例如修正项的构造)提供物理参考。

Simulation and Analysis of Fiber Motion in Condensing Zone of Compact Spinning with Lattice Apron

To get fiber motion in condensing zone of compact spinning,velocity of this area is achieved by simulation,and then a bead-elastic rod fiber model is established.Based on simulation and dynamic analysis on this zone,governing equations are constructed and Runge-Kutta approach is used.Lastly,trajectories of fibers are calculated by specially designed Matlab procedure according to the principles mentioned above.Results show that fiber motions at different initial positions are different;X-axis velocity component makes fibers gathering on sides of suction slot;Y-axis airflow gets fibers gradually close and then stick to the surface of lattice apron.Fiber motions also reflect that the compact spinning process in condensing zone can be divided into three parts:fast convergence zone,adjustment convergence zone,and steady convergence zone.

A Phase-Field Model Coupled with Lattice Kinetics Solver for Modeling Crystal Growth in Furnaces

In this study,we present a new numerical model for crystal growth in a vertical solidification system.This model takes into account the buoyancy induced convective flow and its effect on the crystal growth process.The evolution of the crystal growth interface is simulated using the phase-field method.A semi-implicit lattice kinetics solver based on the Boltzmann equation is employed to model the unsteady incompressible flow.This model is used to investigate the effect of furnace operational conditions on crystal growth interface profiles and growth velocities.For a simple case of macroscopic radial growth,the phase-field model is validated against an analytical solution.The numerical simulations reveal that for a certain set of temperature boundary conditions,the heat transport in the melt near the phase interface is diffusion dominant and advection is suppressed.

基于SLMD的生物质热解动力学预测模型

采用单纯形格子混合设计法(SLMD)对纤维素、半纤维素和木质素3种生物质组分进行复配优化设计,并在综合热分析仪上进行了热解试验。分析了3组分混合热解特性,建立了由生物质3组分比例直接计算动力学参数的预测模型,对模型进行了试验验证。结果表明:纤维素热解反应级数较低(1.20),活化能较高(134.50 k J/mol),指前因子较大(3.49×1012s-1),热解较为迅速与剧烈;半纤维素和木质素热解的反应级数较高(1.30、1.32),活化能较低(33.51、19.98 k J/mol),指前因子较小(9.43×103、107 s-1),热解较为缓慢;3组分在混合热解中对动力学参数存在交互影响,纤维素对活化能和指前因子的影响较为显著,而半纤维素与木质素对反应级数的影响较大;动力学参数预测模型精度较高,可有效预测生物质热解动力学参数。

随机反应扩散格气模型上钙动力学的粗粒化模拟

发展了一种基于随机格气模型的粗粒化方法，该方法能有效模拟内质网表面钙动力学信息．首先将相邻的微观节点合并成粗粒化节点，再根据局域平均场近似推导出粗粒化反应速率，然后执行粗粒化动力学蒙特卡洛模拟．发现粗粒化动力学蒙特卡洛模拟结果和微观模拟结果非常吻合．有趣的是，存在一个最佳的粗粒化比m，使得粗粒化模拟与微观模拟的相变点偏差最小．固定m，发现临界点随体系尺度增加而单调增加，而且相变点的偏差与体系尺度存在一个标度关系．此外，该粗粒化方法大大地加快了蒙特卡洛模拟速率，并且与微观模拟直接相关．该方法可以广泛用来研究体系尺度效应，而节省大量计算时间．

Effect of rare earth (RE) on diffusion of aluminum atoms in aluminizing

The RE-aluminized coating and pure aluminized coating on 20 carbons steel were prepared by hot dip aluminizing method at 740℃. After diffusion treatment at 850℃for 4 h, the distribution of aluminum and lanthanum elements in the coating was analyzed with energy disperse spectroscopy(EDS) and electron probe microanalyses(EPMA), and the lattice parameter ofα-Fe in the matrix of the coating was measured precisely by X-ray diffractometer(XRD). The results show that RE permeates into the aluminized coating, leads to lattice disturbance and increases the depth of the aluminized coating. On the basis of the results, the expression of the diffusion coefficient of Al atoms is derived from the diffusion flow, and the effect of the high vacancy concentration and high concentration gradient of vacancies on the diffusion of Al atoms was analyzed by establishing the kinetics model of the vacancy mechanism of diffusion. The results show that the high vacancy concentration and high concentration gradient of vacancies in the RE-aluminized processes are the main reason why the diffusion coefficient of Al atoms in RE-aluminizing is bigger than that in pure aluminizing.

Effect of Precursor Mechanism on CO-NO Catalytic Reaction on Body-Centred Cubic Structure： Monte Carlo Simulation

公司 -- 没有催化反应在上集中身体立方(电子消息传输方式) 格子被蒙特卡罗学习模拟。简单 Langmuir-Hinshelwood (LH ) 机制产出一扇稳定的反应窗户，它被连续、不连续的不可逆的阶段转变分开。系统的相图上的先锋机制的 Theeffect 也被学习。根据这机制，公司分子的先锋运动仅仅在电子消息传输方式格子的表面上被考虑。一些有趣的观察被报导。

高分子链坍塌转变动力学过程的动态蒙特卡罗模拟

基于键长涨落格子模型和动态蒙特卡罗模拟方法,引入疏水相互作用,对均聚高分子链坍塌转变动力学过程进行了模拟研究.模拟发现,其坍塌时间呈高斯分布,而平均坍塌时间随淬火深度的变化类似于蛋白质折叠,但难以发现局部最小;另外,平均坍塌时间随链长呈指数形式变化.在其坍塌动力学过程中,高分子链构象先由橄榄球状演变为项链状,进而演变为香肠状,最后形成近球状的熔融球;基于团簇数目、团簇大小和非球面参数等参量,对前人提出的动力学过程四阶段划分进行了更为清晰的界定.