基于化学势的多相流晶格Boltzmann方法的研究
[Abstract]:The phenomenon of multi-phase flow in nature has a wide application in industrial and agricultural production, scientific research and daily life, and its phases involve surface phenomena, thermodynamic and fluid mechanics balance problems, and there are complex physical and chemical processes such as heat transfer, mass transfer and chemical reaction. These effects make the study of the multi-phase flow problem very complex, and therefore, the research on the multi-phase flow phenomenon has been a hot spot in the field of fluid mechanics. Computational Fluid Dynamics (CFD) is a subject of constant development in the long-term practice of fluid movement by means of numerical and discrete research, which has made great success in the study of complex fluid movement, including multi-phase flow. However, because the multi-phase flow often presents a very complex geometric interface, and with the severe interface topology deformation (such as the polymerization and splitting of the droplets, etc.), the conventional CFD method will encounter the bottleneck of the further study of the multi-phase flow, that is, the Navier-Stokes equations under the complex geometric boundary are not easy to solve, It is also very difficult to trace the interface with violent topological deformation. Lattice Boltzmann method (LBM), based on the molecular dynamics, is a special discrete form of the continuous Boltzmann equation, and belongs to the new mesoscopic method. In particular, it has outstanding performance in the research of multi-phase flow, and has been highly accepted by people. Compared with the traditional CFD method, at least the following advantages are:1. The algorithm is simple, and the complex Navier-Stokes equations need not be solved directly, but only a simple lattice Boltzmann equation is needed. It is easy to handle complex geometric boundary conditions, and does not need to track the interface explicitly, and the change of the interface is naturally contained in the simple evolution process;3. The evolution of the LBM is local, and is very suitable for high-performance parallel computing and the like. After nearly 30 years of development and improvement, the LBM has become a new and irreplaceable computational fluid dynamic method, which has taken an important position in the research of multi-phase flow and has become one of the main research methods. So far, the LBM multi-phase flow model, which has been widely accepted and widely popular and successfully applied, has a pseudo-potential model and a free-energy model, however, The two models and their subsequent improvements can not meet the Galileo invariance and the thermodynamic consistency. The pseudo-potential model does not have the thermodynamic consistency, and the free energy model can not satisfy the Galileo invariance. The model that does not have the thermodynamic consistency will not be able to accurately describe the thermodynamic behavior of the system, and the model that does not meet the Galileo invariance can not accurately describe the characteristics of the moving system. On the basis of calculating the non-ideal force with the aid of the free energy and the pressure tensor, a lattice Boltzmann multi-phase flow model based on the pressure tensor is proposed, which is called the pressure tensor model, EPL,112 (2015)44002). From the theoretical and numerical experiments, the new model is proved to have both thermodynamic consistency and Galileo invariance. The algorithm is simple and easy to realize, and the two-phase co-existence curve obtained by the simulation of one-stage phase change is better with the theory, and is expected to be further promoted and applied. Although the pressure tensor model has obvious advantages in both the theory and the numerical value, it has a good application prospect. However, this paper has found that the model has further improved and improved space in the in-depth study. First, through the pressure tensor may not be the best, more than the only effective way to calculate the non-ideal force, the free energy, chemical potential and entropy of the system can describe the macroscopic quantity of the thermodynamic behavior of the system, especially the chemical potential has a unique advantage when describing the phase equilibrium and the chemical balance; On the other hand, the fluid-solid wetting boundary condition of the constrained multi-phase flow system is difficult to express directly by the pressure tensor, and the effective density expression also has a certain complexity, and the chemical potential is used to describe the interaction between the solid phase and the liquid phase in the wetting. In this paper, the original pressure tensor model is explored and improved from the chemical potential, and a chemical potential-based lattice Boltzmann multi-phase flow model (the chemical potential model) is constructed by the derivation of a chemical potential-based non-ideal force calculation formula, which is also based on the chemical potential. A set of flow-solid wetting boundary conditions based on chemical potential is developed (for short, chemical potential wetting boundary conditions). Based on the theoretical and numerical experiments, the new model and the wetting boundary condition have the following advantages and characteristics:1. because of the improvement and perfection of the original pressure tensor model, the chemical potential model still has both the thermodynamic consistency and the Galileo invariance, and the chemical potential model and the wetting boundary condition are in a unified and self-consistent theory through the chemical potential, In that numerical calculation, the mutual coordination and share are achieved. The chemical potential model and the wetting boundary condition are more concise than the pressure tensor model algorithm, and through a typical van der waals fluid-level phase change simulation experiment, the new chemical potential model has different degrees of improvement in the calculation accuracy, the calculation efficiency and the stability, It fully shows that it also has a systematic and comprehensive advantage in the field of numerical value. Several commonly used non-ideal fluids (including van der waals, Peng-Robinson, Redlich-Kwang Soave and Carnahan-Starling fluid) and van der Waals droplet deformation simulation with different speeds show that the chemical potential model can well describe the two-phase co-existence of the non-ideal fluid, Galileo invariance is also exactly satisfied. The examples of the wetting phenomenon of the van der Waals droplet on the surface of the solid wall show that the realization and application of the chemical potential model and the wetting boundary condition are convenient and feasible. in that numerical experiment, it is found that the wetting contact angle is almost linear with the change of the chemical potential of the specified solid wall surface, so that the required contact angle is very simple by adjusting the surface chemical potential in the practical application, Therefore, the application of the chemical potential model and the wetting boundary condition to the surface wetting phenomenon has a sufficient advantage. Since the chemical potential is an important and universal macroscopic quantity for describing the thermodynamic system, the chemical potential model and the wetting boundary condition can be directly applied to the research of a multi-phase flow system with an electromagnetic field environment or a chemical reaction. The above advantages and characteristics show that the chemical potential model and the wetting boundary condition have a solid theoretical foundation and excellent numerical performance, and are expected to be widely promoted and applied in the field of multi-phase flow.
【学位授予单位】:广西师范大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:O641
【相似文献】
相关期刊论文 前10条
1 沈志恒;马宏文;陆慧林;宋廷钰;李铮;;基于格子Boltzmann方法颗粒团聚物曳力系数的数值模拟及应用研究[J];石油化工;2012年05期
2 邓敏艺,刘慕仁,孔令江;二维反应扩散方程的格子Boltzmann方法模拟[J];广西师范大学学报(自然科学版);2001年01期
3 田智威;邹春;刘红娟;陈胜;柳朝晖;郑楚光;;格子Boltzmann方法模拟层流对冲预混火焰[J];燃烧科学与技术;2005年06期
4 张磊;姚军;孙海;孙致学;;利用格子Boltzmann方法计算页岩渗透率[J];中国石油大学学报(自然科学版);2014年01期
5 战洪仁;周淑娟;路海燕;高成峰;;利用格子Boltzmann方法预测缩放管内的阻力系数[J];沈阳化工学院学报;2008年04期
6 何莹松;;基于格子Boltzmann方法的多孔介质流体渗流模拟[J];科技通报;2013年04期
7 刘邱祖;寇子明;韩振南;高贵军;;基于格子Boltzmann方法的液滴沿固壁铺展动态过程模拟[J];物理学报;2013年23期
8 张云;王小伟;葛蔚;杨朝合;;多松弛时间格子Boltzmann方法在GPU上的实现[J];计算机与应用化学;2011年03期
9 徐世英;卫玉敏;吴春光;冯金朝;;一维Tyson反应扩散系统的格子Boltzmann方法模拟[J];计算机与应用化学;2008年05期
10 狄勤丰;余祖斌;顾春元;吴非;王新亮;;纳米颗粒吸附微管道水流特性的格子Boltzmann方法模拟[J];中国石油大学学报(自然科学版);2009年02期
相关会议论文 前7条
1 梁功有;曾忠;张永祥;张良奇;姚丽萍;邱周华;;封闭方腔内自然对流的格子Boltzmann方法模拟[A];重庆力学学会2009年学术年会论文集[C];2009年
2 邓义求;唐政;董宇红;;基于格子Boltzmann方法对气动声学的应用研究[A];中国力学大会——2013论文摘要集[C];2013年
3 唐政;邓义求;董宇红;;基于格子Boltzmann方法对多孔介质壁湍流减阻减噪机理的研究[A];中国力学大会——2013论文摘要集[C];2013年
4 邓林;张云;解孝林;周华民;;共混高聚物剪切粘度的格子Boltzmann方法模拟[A];中国化学会第29届学术年会摘要集——第14分会:流变学[C];2014年
5 王星;谢华;;基于浸入边界-格子Boltzmann方法的仿生机器鱼的数值模拟[A];第十三届全国水动力学学术会议暨第二十六届全国水动力学研讨会论文集——C计算流体力学[C];2014年
6 戴传山;刘学章;;格子Boltzmann方法用于多孔介质与自由流体开口腔体内自然对流的数值模拟研究[A];中国地球物理学会第二十七届年会论文集[C];2011年
7 李学民;曹俊兴;王兴建;;利用格子Boltzmann方法模拟孔隙介质中的流体渗流[A];中国地球物理学会年刊2002——中国地球物理学会第十八届年会论文集[C];2002年
相关博士学位论文 前10条
1 杨鑫;基于格子Boltzmann方法的椭球粒子在简单流体中的运动研究[D];中国科学技术大学;2016年
2 龚帅;亲疏水性对池沸腾传热影响的格子Boltzmann方法研究[D];上海交通大学;2015年
3 任俊杰;基于格子Boltzmann方法的页岩气微观流动机理研究[D];西南石油大学;2015年
4 谭玲燕;用格子Boltzmann方法模拟圆柱的搅动流动及减阻[D];吉林大学;2011年
5 柴振华;基于格子Boltzmann方法的非线性渗流研究[D];华中科技大学;2009年
6 丁丽霞;用于模拟粘性流体流动的格子Boltzmann方法[D];吉林大学;2009年
7 张婷;多孔介质内多组分非均相反应流的格子Boltzmann方法研究[D];华中科技大学;2012年
8 鲁建华;基于格子Boltzmann方法的多孔介质内流动与传热的微观模拟[D];华中科技大学;2009年
9 张文欢;基于格子Boltzmann方法的撞击流流动不稳定性的数值研究[D];华中科技大学;2013年
10 宋香霞;用格子Boltzmann方法分析燃料电池阳极的三维结构和性能[D];中国科学技术大学;2013年
相关硕士学位论文 前10条
1 兰中周;一类非线性偏微分方程的格子Boltzmann方法[D];东华理工大学;2014年
2 李冬杰;基于格子Boltzmann方法的颅内动脉瘤直血管和弯曲血管三维数值研究[D];华中科技大学;2014年
3 年玉泽;基于Boltzmann方法的植被发育斜坡土体大孔隙渗流研究[D];昆明理工大学;2016年
4 姜继鼎;基于格子Boltzmann方法的活性粒子布朗运动的数值模拟研究[D];西安建筑科技大学;2016年
5 史文秋;基于格子Boltzmann方法的细微通道内脉冲加热下沸腾相变的研究[D];华北电力大学(北京);2016年
6 李蓉;基于晶格Boltzmann方法的三维旋转流体中二次流研究[D];广西师范大学;2016年
7 王特;求解含跳系数的单温辐射扩散方程的格子Boltzmann方法[D];湘潭大学;2016年
8 杨超;基于格子Boltzmann方法的微尺度气体流动模拟[D];东北大学;2013年
9 孙烁然;利用非均匀格子Boltzmann方法研究支架对颅内动脉瘤血流动力学的影响[D];华中科技大学;2015年
10 陈慧;基于晶格Boltzmann方法研究接触角的测量和迟滞[D];广西师范大学;2017年
,本文编号:2439861
本文链接:https://www.wllwen.com/kejilunwen/huaxue/2439861.html