Faris Muhammad Jihad - 1706064372

Profile

Name: Faris Muhammad Jihad

NPM: 1706064372

A mechanical engineering student at the Faculty of Engineering University of Indonesia. Attending the mechanical engineering international program since 2017, involvement of campus activities related to mechanical engineering are through the university robotics club and biomedical research group student assistant. Currently taking elective courses on Computational Fluid Dynamics (CFD) Application and Jet & Rocket Propulsion, whilst working on the last undergraduate assignment thesis with electro-mechanical research group for a thesis topic in robotics.

Study Summary

CFD Application

CFD Application, or more commonly referred to as Computational Fluid Dynamics is the branch of fluid mechanics that utilize numerical methods and data structures to simulate, analyze, and find solutions for fluid flow applications. Aside for the fundamentals of mathematics and physics, CFD requires the pre-requisites of programming, numerical methods, statistics & data, and fluid systems.

The latest development of CFD Application in the academic and industrial level implements this subject with softwares for simulation and data analysis. Amongst those softwares that is used in the CFD Application course in Mechanical Engineering University of Indonesia are CFDSOF and OpenModelica. Along with the usage of other softwares such as CAD from Solidworks or Autodesk Inventor in order to visually create the external environment of the fluid flow simulation.

This course is of importance for students heading towards many mechanical engineering branches since it is used in all industries that deal with thermo-fluid applications. Such as in the aerospace industry, automotive industry, manufacturing, and so on. Amongst those applications could be simulations for determining input of raw materials into a certain machine to optimize for efficiency, simulations for determining the airfoil of an airplane wing, and more.

CFD Application Tasks

Chapter 3

CHAPTER 3 TURBULENCE MODELLING - QUIZ 1 (Example 3.5):[1]

https://youtu.be/3kd8UuYCEdk

Chapter 4

CHAPTER 4 FINITE VOLUME METHOD FOR DIFFUSION PROBLEMS Simulation Assignment (Example 4.2 and 4.3):[2]

https://www.youtube.com/watch?v=AbvN-jlnxjU

Final Task (Tugas Besar CFD Application)

Title

Computational Fluid Dynamics Two-Phase Flow Modelling Methods: Literature Review

Introduction

In fluids, two-phase flow is a flow of two phases with the same interfaces in a channel. This could happen in in single-component or multicomponent system, with the possible two-phase flow combinations being: solid-liquid, solid-gas, liquid-vapor, and a combination of the three possible combinations. The way the categorization of two-phase flows are labelled is through the superficial velocity in which the velocity of each phase in the system is used as the parameter. However, the implementation of Computational Fluid Dynamics for two-phase flows is not as common as for single-phase flows. This is due to the complications of two-phase interfaces with variant mass transfers that cause complex flows that are not easily predictable.

Currently in the field of Computational Fluid Dynamics, two-phase flow modelling is still ongoing. Several methods that have been proposed have their implementations regarding two-phase flows depending on their constraints and capabilities. In order to improve precision of the modelling of two-phase methods, the proposed methods must be understood, compared, and utilized correctly. This research paper compares those methods and concludes their best implementations. The methods that will be compared in this research paper for the modelling of two-phase flows are: the Volume of Fluid Method, the Level-Set Method, Lattice Boltzmann methods, and Smoothed-particle hydrodynamics. These four methods are compared because they are the most popular methods and have a longer history of being refined and implemented.

For context, even though Computational Fluid Dynamics methods for two-phase flows are still under development and is not as accurate as single-phase flows, it is still a viable approach for engineering two-phase flow analyses. This is because it can predict detailed transient variations in individual phase velocities, void fractions, and corresponding temperatures, that cannot be done using other approaches. On top of that, it can also deal with heat transfer and pressure drop behaviors.

Methodology

Volume of fluid (VOF) method

Level-set methods (LSM)

Lattice Boltzmann methods (LBM)

Smoothed-particle hydrodynamics (SPH)

Discussion

In summary, the VOF method can be shortened into three parts: a scheme to locate the surface, an algorithm to track the surface as a sharp interface moving through a computational grid, and a means of applying boundary conditions at the surface. However, VOF method is not ideal when computing the curvature of the interface or any other smooth properties. The formulation of VOF in three space dimensions also resembles more the lines in a computer code than a rigorous mathematical method. Due to these reasons, the Level Set Method was proposed to deal with these shortfalls.

Conclusion

Acknowledgement

This research paper was written as a final project for the Application of Computational Fluid Dynamics course in the Mechanical Engineering Department, Faculty of Engineering, University of Indonesia. The author thanks Dr. Ahmad Indra as the advisor and lecturer of the research paper as well as the course, and also thanks the classmates for the educational discussions regarding the research paper and the course topics for the author's learning of the subject.

Reference

“Two-Phase Flow.” Sciencedirect.Com, ScienceDirect, www.sciencedirect.com/topics/engineering/two-phase-flow. Accessed 20 Dec. 2020.

“Computational Fluid Dynamics in Two-Phase Flows.” Case.Edu, Case Western Reserve University, www.sciencedirect.com/topics/engineering/two-phase-flow. Accessed 20 Dec. 2020.

Bruce Stewart, H., & Wendroff, B. (1984). Two-phase flow: Models and methods. Journal of Computational Physics, 56(3), 363–409.