Modeling of Mixed Convection in a Lid Driven Wavy Enclosure with Two Square Blocks Placed at Different Positions

The purpose of this paper is to investigate the simulation of mixed convection in a lid-driven wavy enclosure with blocks positioned at various positions. This study also examined the impact of the longitudinal position of the heated block on heat transfer enhancement. The Galerkin weighted residual finite element method is employed to computationally solve the governing equations of Navier-Stokes, thermal energy, and mass conservation. The enclosure consists of two square heated blocks strategically placed at different heights—firstly, one set is closer to the bottom surface;secondly, one set is nearer to the middle area and finally, one set is closer to the upper undulating surface of the enclosure. The wavy top wall’s thermal insulation, along with active heating of the bottom wall and blocks, generates a dynamic convective atmosphere. In addition, the left wall ascends as the right wall falls, causing the flow formed by the lid. The study investigates the impact of the Richardson number on many factors, such as streamlines, isotherms, dimensionless temperature, velocity profiles, and average Nusselt numbers. These impacts are depicted through graphical illustrations. In all instances, two counter-rotating eddies were generated within the cage. Higher rotating speed consistently leads to improved performance, irrespective of other characteristics. Furthermore, an ideal amalgamation of the regulating factors would lead to increased heat transmission.

Two new least-squares mixed finite element procedures for convection-dominated Sobolev equations

Two new convection-dominated are derived under the approximate solutions least-squares mixed finite element procedures are formulated for solving Sobolev equations. Optimal H（div;Ω）×H1（Ω） norms error estimates standard mixed finite spaces. Moreover, these two schemes provide the with first-order and second-order accuracy in time increment, respectively.

Galerkin-Petrov least squares mixed element method for stationary incompressible magnetohydrodynamics

The Galerkin-Petrov least squares method is combined with the mixed finite element method to deal with the stationary, incompressible magnetohydrodynamics system of equations with viscosity. A Galerkin-Petrov least squares mixed finite element format for the stationary incompressible magnetohydrodynamics equations is presented. And the existence and error estimates of its solution are derived. Through this method, the combination among the mixed finite element spaces does not demand the discrete Babuska-Brezzi stability conditions so that the mixed finite element spaces could be chosen arbitrartily and the error estimates with optimal order could be obtained.

A NONLINEAR GALERKIN/PETROV-LEAST SQUARES MIXED ELEMENT METHOD FOR THE STATIONARY NAVIER-STOKES EQUATIONS

A nonlinear Galerkin/Petrov-least squares mixed element (NGPLSME) method for the stationary Navier-Stokes equations is presented and analyzed. The scheme is that Petrov-least squares forms of residuals are added to the nonlinear Galerkin mixed element method so that it is stable for any combination of discrete velocity and pressure spaces without requiring the Babu*lka-Brezzi stability condition. The existence, uniqueness and convergence (at optimal rate) of the NGPLSME solution is proved in the case of sufficient viscosity (or small data).

Adaptive mixed least squares Galerkin/Petrov finite element method for stationary conduction convection problems

An adaptive mixed least squares Galerkin/Petrov finite element method （FEM） is developed for stationary conduction convection problems. The mixed least squares Galerkin/Petrov FEM is consistent and stable for any combination of discrete velocity and pressure spaces without requiring the Babuska-Brezzi stability condition. Using the general theory of Verfiirth, the posteriori error estimates of the residual type are derived. Finally, numerical tests are presented to illustrate the effectiveness of the method.

LEAST-SQUARES MIXED FINITE ELEMENT METHOD FOR A CLASS OF STOKES EQUATION

A least-squares mixed finite element method was formulated for a class of Stokes equations in two dimensional domains. The steady state and the time-dependent Stokes' equations were considered. For the stationary equation, optimal H-t and L-2-error estimates are derived under the standard regularity assumption on the finite element partition ( the LBB-condition is not required). Far the evolutionary equation, optimal L-2 estimates are derived under the conventional Raviart-Thomas spaces.

An Adaptive Least-Squares Mixed Finite Element Method for Fourth Order Parabolic Problems

A least-squares mixed finite element (LSMFE) method for the numerical solution of fourth order parabolic problems analyzed and developed in this paper. The Ciarlet-Raviart mixed finite element space is used to approximate. The a posteriori error estimator which is needed in the adaptive refinement algorithm is proposed. The local evaluation of the least-squares functional serves as a posteriori error estimator. The posteriori errors are effectively estimated. The convergence of the adaptive least-squares mixed finite element method is proved.

SUPERCONVERGENCE OF LEAST-SQUARES MIXED FINITE ELEMENTS FOR ELLIPTIC PROBLEMS ON TRIANGULATION

In this paper,we present the least-squares mixed finite element method and investigate superconvergence phenomena for the second order elliptic boundary-value problems over triangulations.On the basis of the L2-projection and some mixed finite element projections,we obtain the superconvergence result of least-squares mixed finite element solutions.This error estimate indicates an accuracy of O(h3/2)if the lowest order Raviart-Thomas elements are employed.

Improved cat swarm optimization for parameter estimation of mixed additive and multiplicative random error model

To estimate the parameters of the mixed additive and multiplicative(MAM)random error model using the weighted least squares iterative algorithm that requires derivation of the complex weight array,we introduce a derivative-free cat swarm optimization for parameter estimation.We embed the Powell method,which uses conjugate direction acceleration and does not need to derive the objective function,into the original cat swarm optimization to accelerate its convergence speed and search accuracy.We use the ordinary least squares,weighted least squares,original cat swarm optimization,particle swarm algorithm and improved cat swarm optimization to estimate the parameters of the straight-line fitting MAM model with lower nonlinearity and the DEM MAM model with higher nonlinearity,respectively.The experimental results show that the improved cat swarm optimization has faster convergence speed,higher search accuracy,and better stability than the original cat swarm optimization and the particle swarm algorithm.At the same time,the improved cat swarm optimization can obtain results consistent with the weighted least squares method based on the objective function only while avoiding multiple complex weight array derivations.The method in this paper provides a new idea for theoretical research on parameter estimation of MAM error models.

Mixed Convection in a Two-Sided Lid-Driven Square Cavity Filled with Different Types of Nanoparticles:A Comparative Study Assuming Nanoparticles with Different Shapes

Steady,laminar mixed convection inside a lid-driven square cavity filled with nanofluid is investigated numerically.We consider the case where the right and left walls are moving downwards and upwards respectively and maintained at different temperatures while the other two horizontal ones are kept adiabatic and impermeable.The set of nonlinear coupled governing mass,momentum,and energy equations are solved using an extensively validated and a highly accurate finite difference method of fourth-order.Comparisons with previously conducted investigations on special configurations are performed and show an excellent agreement.Meanwhile,attention is focused on the heat transfer enhancement when different nano-particles:Cu,Ag,Al2O3,TiO2 and Fe3O4 are incorporated separately in different base fluids such as:Water,Ethylene-glycol,Methanol and Kerosene oil.In this framework,the numerical results related to several mixtures are presented and concern flow pattern and heat transfer curves for various values of Richardson number[Ri=0.1,1 and 10].It turns out that the choice of the efficient binary mixture for an optimal heat transfer depends not only on the thermophysical properties of the nanofluids but also on the range of the Richardson number.Special attention is devoted to shedding light on the effect of the shape of the nanoparticles on the heat transfer in the case of Water-Ag nanofluid.It is concluded that the spherical shape is more suitable for a better heat transfer enhancement in comparison to the cylindrical ones.

Effect of Richardson Number on Unsteady Mixed Convection in a Square Cavity Partially Heated From Below

The objective of the present study is to analyze the laminar mixed convection in a square cavity with moving cooled vertical sidewalls.A constant flux heat source with relative length l is placed in the center of the lower wall while all the other horizontal sides of the cavity are considered adiabatic.The numerical method is based on a finite difference technique where the spatial partial derivatives appearing in the governing equations are discretized using a high order scheme,and time advance is dealt with by a fourth order Runge Kutta method.The Richardson number(Ri),which represents the relative importance of the natural and forced convection,is chosen as the bifurcation parameter.The effect of this non-dimensional number on the behavior of the fluid flow and the heat transfer is analyzed.Although the geometry and boundary conditions concerning the velocity and the temperature are symmetrical with respect to the vertical axis passing through the center of the cavity,the results show the existence of symmetric and asymmetric flow structures,varying according to the considered value of the Richardson number.

Mixed Least Square Method for Priority of Complementary Judgement Matrix and Its Algorithm

Based on the concept of multiplicative fuzzy consistent complementary judgement matrix, the mixed least square method （MLSM） for priority of complementary judgement matrix is proposed and proved. Then, the corresponding convergent iterative algorithm is given and its convergence is proved. Finally, some main properties of the developed priority method, such as rank preservation under strong condition, etc., ate introduced. The theoretical analyses show that the MLSM can sufficiently reflect the preference information of the decision maker, and is easy to realize on a computer.

Ridge estimation iterative solution of ill-posed mixed additive and multiplicative random error model with equality constraints

The reasonable prior information between the parameters in the adjustment processing can significantly improve the precision of the parameter solution. Based on the principle of equality constraints, we establish the mixed additive and multiplicative random error model with equality constraints and derive the weighted least squares iterative solution of the model. In addition, aiming at the ill-posed problem of the coefficient matrix, we also propose the ridge estimation iterative solution of ill-posed mixed additive and multiplicative random error model with equality constraints based on the principle of ridge estimation method and derive the U-curve method to determine the ridge parameter. The experimental results show that the weighted least squares iterative solution can obtain more reasonable parameter estimation and precision information than existing solutions, verifying the feasibility of applying the equality constraints to the mixed additive and multiplicative random error model. Furthermore, the ridge estimation iterative solution can obtain more accurate parameter estimation and precision information than the weighted least squares iterative solution.

Hydrodynamic Mixed Convection in a Lid-Driven Hexagonal Cavity with Corner Heater

Hydrodynamic mixed convection in a lid-driven hexagonal cavity with corner heater is numerically simulated in this paper by employing finite element method. The working fluid is assigned as air with a Prandtl num-ber of 0.71 throughout the simulation. The left and right walls of the hex-agonal cavity are kept thermally insulated and the lid moves top to bottom at a constant speed U0. The top left and right walls of the enclosure are maintained at cold temperature Tc. The bottom right wall is considered with a corner heater whereas the bottom remaining part is adiabatic and inside the cavity a square shape heated block Th. The focus of the work is to investigate the effect of Hartmann number, Richardson number, Grashof number and Reynolds number on the fluid flow and heat transfer characteristics inside the enclosure. A set of graphical results is presented in terms of streamlines, isotherms, local Nusselt number, velocity profiles, temperature profiles and average Nusselt numbers. The results reveal that heat transfer rate increases with increasing Richardson number and Hartmann number. It is also observed that, Hartmann number is a good control parameter for heat transfer in fluid flow in hexagonal cavity.

Analysis of Variance in an Unbalanced Two-Way Mixed Effect Interactive Model

The expected mean squares for unbalanced mixed effect interactive model were derived using Brute Force Method. From the expected mean squares, there are no obvious denominators for testing for the main effects when the factors are mixed. An expression for F-test for testing for the main effects was derived which was proved to be unbiased.

NEGATIVE NORM LEAST-SQUARES METHODS FOR THE INCOMPRESSIBLE MAGNETOHYDRODYNAMIC EQUATIONS

The purpose of this article is to develop and analyze least-squares approximations for the incompressible magnetohydrodynamic equations. The major advantage of the least-squares finite element method is that it is not subjected to the so-called Ladyzhenskaya-Babuska-Brezzi （LBB） condition. The authors employ least-squares functionals which involve a discrete inner product which is related to the inner product in H^-1（Ω）.

基于混合像元分解的分蘖期水稻基本苗数量估测方法研究

基本苗数量是反映水稻健康水平的重要依据,在分蘖期精准估测水稻基本苗数量可以指导后期的施肥量,从而调控水稻的最佳分蘖数。同时,对水稻长势监测和产量预测具有非常重要的意义。针对传统田间人工统计基本苗数量耗时长、成本高等问题,以江苏大学附属农场镇江润果农场分蘖期水稻为研究对象,利用大疆无人机(M600 Pro型)搭载多光谱相机(Rededge-MX型)获取水稻分蘖期多光谱数据,对原始图像进行图像拼接、辐射校正、几何校正等预处理操作,根据像元纯度系数提取土壤端元和植被端元,建立波谱库,然后按照完全约束最小二乘法的方法执行混合像元分解,构建植被覆盖度和水稻基本苗数量的回归模型。该研究方法获得的模型决定系数R^(2)为0.891,均方根误差RMSE为4.6株/m^(2)。而传统的像元二分法模型(基于NDVI、VDVI和GNDVI植被指数计算植被覆盖度),其决定系数R2为0.834、0.744、0.642,其RMSE为5.7、7.1、8.4株/m^(2)。试验结果表明,基于完全约束最小二乘法的混合像元分解模型评价指标均优于像元二分法模型。本文基于混合像元分解方法有效提高了水稻基本苗统计精度,并且生成了水稻基本苗数量反演图,可以直观统计基本苗数量,为分蘖期水稻补苗、间苗提供指导。

基于混合威布尔分布的水稻插秧机的可靠性分析及剩余寿命预测

为了更准确描述水稻插秧机的失效规律,提高可靠性分析的准确性,对水稻插秧机的故障数据进行分析,采用两参数混合威布尔分布对水稻插秧机进行建模。以残差平方和最小为优化目标,建立参数估计优化模型,利用改进粒子群算法对其进行求解,然后采用K-S检验法对模型进行检验,对比单一威布尔模型、混合威布尔模型与水稻插秧机失效数据之间的拟合程度,得出使用两参数混合威布尔模型评估水稻插秧机可靠性的合理性,在此模型的基础上计算得到水稻插秧机的平均无故障工作时间为161.75 h,中位寿命为147.14 h,特征寿命为191.31 h,且在可靠度为0.6时,预防性维修周期为115.19 h,最后在混合威布尔分布模型的基础上计算出剩余寿命-可靠度的关系,可定量分析插秧机在一定使用时间下的剩余寿命,从而进行预测性维护。

米字形填充正方形蜂窝异面平台应力

目的研究冲击速度和结构参数对米字形填充正方形蜂窝异面平台应力的影响规律。方法利用ANSYS/LS-DYNA建立该蜂窝可靠的基于胞元阵列的异面冲击分析有限元模型;基于简化的超折叠单元理论推导该蜂窝的准静态平台应力理论公式,理论值与仿真值相吻合验证理论公式的正确性。对不同壁厚边长比的蜂窝,在不同冲击速度下进行异面冲击仿真分析,利用LS-PrePost软件处理得到相应的接触力-位移曲线,进一步处理得到变形模式和平台应力,并以图表的形式加以展示与分析。结果不同冲击速度下结构参数固定的蜂窝表现出LS、MS和HS等3种不同的异面冲击变形模式,从LS模式转变到MS模式再到HS模式的临界速度分别约为20 m/s和150 m/s;壁厚边长比对变形模式的影响可忽略。结论该蜂窝动态平台应力随冲击速度(或壁厚边长比)的增加而增大,且增长速率不断提高。当其他参数固定时,LS模式和MS模式下该蜂窝的动态平台应力与冲击速度呈二次函数关系,HS模式下动态平台应力与冲击速度的平方呈线性关系;动态平台应力与壁厚边长比呈幂函数关系。基于仿真计算结果,得到了该蜂窝动态平台应力的经验表达式。

不同延时条件下基于激光诱导击穿光谱的烧结混合料定量检测

烧结混合料是烧结工艺中极为重要的一环,其成分检测的准确性直接影响烧结过程,激光诱导击穿光谱技术通过激光光谱分析烧结混合料中的元素成分和含量,实时性好,但定量检测效果相比于其他实验室方法仍有差距。研发了一套遥测激光诱导击穿光谱装置,并应用于烧结混合料成分检测,采用PLSR与PCA相结合的方法对烧结混合料中TFe,CaO,SiO_(2),MgO进行定量检测。通过对1.28μs和5μs不同延时的光谱数据计算发现,不同物质在不同探测延时条件下R_(2)有着明显差异,对于SiO_(2)和MgO这两种浓度相对较低的物质,采用较小的1.28μs探测延时,R_(2)分别达到了0.937和0.985,而浓度相对较高的TFe,CaO则采用更大的5μs探测延时效果更好,较采用1.28μs延时,TFe定量结果的R^(2)从0.903提高到0.987,CaO的R^(2)也从0.816提高到0.980。针对不同物质采用不同探测延时的方法显著提高了检测准确性,简化了检测流程,对烧结工艺起到指导作用。