Experts have always desired to obtain materials with the desired properties or required constituents. The optimization of Microstructures is considered to ensure optimal mode and accurate calculations. Microstructures, as heterogeneous materials, undergo an optimization process to optimize their structure. In this article, we implement topology optimization design for Multiphase elastic microstructure using a compensation factor and numerical homogenization method. During the study, numerical optimization is performed by applying calculations on design changes consisting of the volume percentage of each phase in each element. The technique used to solve the topology optimization problem involves dividing it into several series of two-phase subproblems, with a conventional two-phase operator used in the optimization space. In this research, we obtained values of 0.7264, 0.4447, and 0.3008 for shear modulus, bulk modulus, and axial stiffness, respectively. Generally, the calculation rate depends on the number of phases involved in the structure design process. Previous studies have addressed this question for symmetric, symmetrical, and two-phase Microstructures. However, in this study, we address this design problem by creating tensors of material properties as a function of the volume percentage. This approach is achieved by defining a design space and establishing regular upper and lower boundaries for local features. These boundaries are maintained to ensure consistency and standardization in subsequent works related to Multiphase microstructure design.

Experts have always desired to obtain materials with the desired properties or required constituents. The optimization of Microstructures is considered to ensure optimal mode and accurate calculations. Microstructures, as heterogeneous materials, undergo an optimization process to optimize their structure. In this article, we implement topology optimization design for Multiphase elastic microstructure using a compensation factor and numerical homogenization method. During the study, numerical optimization is performed by applying calculations on design changes consisting of the volume percentage of each phase in each element. The technique used to solve the topology optimization problem involves dividing it into several series of two-phase subproblems, with a conventional two-phase operator used in the optimization space. In this research, we obtained values of 0.7264, 0.4447, and 0.3008 for shear modulus, bulk modulus, and axial stiffness, respectively. Generally, the calculation rate depends on the number of phases involved in the structure design process. Previous studies have addressed this question for symmetric, symmetrical, and two-phase Microstructures. However, in this study, we address this design problem by creating tensors of material properties as a function of the volume percentage. This approach is achieved by defining a design space and establishing regular upper and lower boundaries for local features. These boundaries are maintained to ensure consistency and standardization in subsequent works related to Multiphase microstructure design.

A Multiphase flow meter is designed to measure the flow rate of two or more phases without phaseseparation. The flow meter must be accurate enough for the desired application. It must be capable to measure the specifications throughout phase fraction of each phase, independent of the flow regime. Various factors are effective on selection of the flowmeter. Moreover, various procedures are present for measurement of multi-phase flows. In this study, a comprehensive review has been implemented on various technologies in multi-phase flowmeasurement in oil industry and the basis of various measurement techniques has been investigated. The advantages, requirements, and constraints of each technology have been reviewed. Finally, the recent advances in this field have been provided for the researchers.

Natural debris floods travel in straight and meandering courses. The flow behaviour greatly depends on the volume fractions of solid and fluid, as well as on their dynamic interactions with the channel geometry. For the quasi three-dimensional simulations of flow dynamics and mass transport of these floods through meandering and straight channels, we employ a two-phase debris flow model to carry out simulations for debris floods within straight and sine-generated meandering channels of different amplitudes. The results for different sinuous meandering paths are compared with that in the straight one in terms of phase velocity, downslope advection and dispersion, depths of the maxima, deposition of mass, position of front and rear parts of the solid and fluid phases, and also the flow dynamics out of the conduits. The results reveal the slowing of the flow and increase of momentary deposition of the mixture mass in the vicinity of the bends along with the increasing sinuosity. The numerical experiments are useful to better understand the dynamics of debris floods down meandering channels as seen in the natural paths of the rivers as well as already existing channels like episodic rivers in hilly regions. The results can be extended to propose some appropriate mitigation strategies.

The concept of random tessellation is extensively used in wide area of natural sciences, especially material sciences. In this paper a simple but complete explanation of the random tessellation and mathematical tools requirements is presented. Then introducing the algorithm and the program for display random tessellation diagram was written. This program, with high speed and simple algorithm for random tessellation has the ability to change the level of statistical parameters such as number, mean, variance of the area of the grain. The ability to model Microstructures of metals and grains for mechanical application, such as estimation of mechanical properties and crack propagation model at microstructure scale in FEM software is very important. More, an application of random tessellation for finding of equivalent mechanical properties was mentioned. In this paper by increasing the number of grains, in other words, decreasing the size of the grain, property’s values were changed and approached to the experimental global values and isotropic properties.

In this paper the plastic deformation of single phase and two-phase polycrystal materials is studied both experimentally and by a FEM model computation, taking into account crystal plasticity. A fully coupled constitutive elastic-plastic crystal plasticity model is developed and implemented in the finite element model to define the single crystal material.A polycrystal lattice as an aggregate of single crystal grains with various orientations is both simulated and analyzed by means of unit cell method. The user-subroutine has been written for single crystals materials. Many experimental tests of polycrystal materials have been performed to trust the results of simulations. The stress versus strain dependence as obtained from this FEM-model appears to be in good accordance with experimental results.

The lattice Boltzmann models, especially the pseudopotential models, have been developed to investigate multicomponent Multiphase fluids in presence of phase change process. However, the interparticle force between different components causes compressibility error in the non-phase-change component. This restricts the model capability in quantitative analysis of the physical foaming process, such as expansion rate and decay time. In the present study, a multicomponent Multiphase pseudopotential phase change model (the MMPPCM) is improved by introducing an effective mass form of high-pressure-difference multicomponent model in the non-phase-change component. The improved model is compared with the MMPPCM based on simulations of the phase change process of static and moving fluids, as well as the physical foaming process. Density variation of non-phase-change component and its effect on flow field characteristics are analyzed during the phase change process. Simulation results of physical foaming process lead to about 10% ~ 20% reduction of the compressibility error for the improved model as compared with the results of MMPPCM. The improved model also enhances the computational stability of phase change simulation of the static droplets.

In this paper experimental and computational modeling methods for studying Multiphase flows in porous and fractured media are studied. Particular attention was given to the flows in a laboratory-scale flow cell model. It is shown that the gas-liquid flows generate fractal interfaces and the viscous and capillary fingering phenomena are discussed. Experimental data concerning the displacement of two immiscible fluids in the lattice-like flow cell are presented. The flow pattern and the residual saturation of the displaced fluid during the displacement are discussed. Numerical simulations results of the experimental flow cell are also presented. The numerical simulation results for single and Multiphase flows through rock fractures are also presented. Fracture geometry studied was obtained from a series of CT scan of an actual fracture. Computational results show that the major losses occur in the regions with smallest apertures. An empirical expression for the fracture friction factor is also described. Applications to CO2 sequestration in underground brine fields depleted oil reservoir stimulation are discussed.