COMSOL Multiphysics is a finite element analyzer, solver, and simulation software package for various physics and engineering applications, especially coupled phenomena and multiphysics. The software facilitates conventional physics-based user interfaces and coupled systems of partial differential equations (PDEs). COMSOL Multiphysics provides an IDE and unified workflow for electrical, mechanical, fluid, acoustics, and chemical applications.
Beside the classical problems that can be addressed with application modules, the core Multiphysics package can be used to solve PDEs in weak form. An API for Java and MATLAB can be used to control the software externally. The program also serves as an application builder for physics applications. Several modules are available for COMSOL,[1] categorized according to the applications areas of Electrical, Mechanical, Fluid, Acoustic, Chemical, Multipurpose, and Interfacing.
Engineers and scientists use the COMSOL Multiphysics software to simulate designs, devices, and processes in all fields of engineering, manufacturing, and scientific research. COMSOL Multiphysics is a simulation platform that provides fully coupled multiphysics and single-physics modeling capabilities.
It is your responsibility to protect university resources and data by ensuring that you use software in compliance with relevant university policies and standards, store and process all sensitive data within approved systems, and ensure equitable access to information technology for users with disabilities.
Individuals at U-M are ultimately responsible for any infringing software on their computers or devices or for violating the terms and conditions of software licenses. Individuals are responsible for reviewing the SPG on Software Procurement and Licensing Compliance.
Predefined multiphysics-application templates solve many common problem types. You have the option of choosing different physics from the Multiphysics menu and defining the interdependencies yourself. Or you can specify your own partial differential equations (PDEs) and couple them with other equations and physics.
COMSOL Multiphysics is integrated with MATLAB via the LiveLink for MATLAB, which lets you generate a MATLAB file version of a simulation built with COMSOL Multiphysics. You can modify the model MATLAB file, extend it with MATLAB code, and run it from MATLAB.
In addition, COMSOL Multiphysics is integrated with Simulink via the LiveLink for Simulink, which lets you cosimulate using FMU files for use in a Simulink diagram, export state-space models from COMSOL to Simulink, or pass sweep and curve data for use by interpolation tables in Simulink.
Related Connections Views:Modeling and Simulation Tools, Acoustics, Finite Element and Structural Modeling, Optics, System Modeling and Simulation, Thermodynamics, Vibration Analysis and Control, Aerospace and Defense, Automotive, Biotech and Pharmaceutical, Chemical and Petroleum, Consumer Electronics, Medical Devices
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
The article presents a study of a two-fluid turbulence model in the Comsol Multiphysics software package for the problem of a subsonic flow around the DSMA661 and NACA 4412 airfoils with angles of attack of 0 and 13.87 degrees, respectively. In this paper, the finite element method is used for the numerical implementation of the turbulence equations. To stabilize the discretized equations, stabilization by the Galerkin least squares method was used. The results obtained are compared with the results of other RANS, LES, DES models and experimental data. It is shown that in the case of continuous flow around the DSMA661 airfoil, the results of the two-fluid model are very close to the SST results and are in good agreement with the experimental data. When flowing around the NACA 4412 airfoil, flow separation occurs and a recirculation zone appears. It is shown that in such cases the two-fluid model gives more accurate results than other turbulence models. Implementation of the Comsol Multiphysics software package showed good convergence, stability, and high accuracy of the two-fluid turbulence model.
Computational Fluid Dynamics (CFD) plays a critical role in the aerospace industry as it allows us to optimize the aerodynamic characteristics of aircraft, space, and other flying machines. For example, it helps develop efficient airfoils, wings, and control surfaces to reduce drag and improve lift. CFD is used to study flow patterns and combustion processes in gas turbine engines and rocket propulsion systems. It helps to optimize engine design, improve fuel efficiency and reduce emissions. CFD is used to analyze and predict heat transfer phenomena such as conduction, convection, and radiation in aerospace systems. It is important for thermal management and to ensure the structural integrity of components exposed to high temperatures.
Overall, computational fluid dynamics has revolutionized the aerospace industry, allowing engineers to gain valuable insight into complex fluid flow phenomena and optimize designs before creating costly physical prototypes. CFD has significantly reduced development time and costs while improving the safety, efficiency, and productivity of aerospace systems.
One of the main driving forces behind the growth of computational fluid dynamics was the aerospace industry. Over the past 40 years, it has evolved from a useful method of analysis to a mainstream design tool. In companies like Boeing, much of the early wing design work is done almost exclusively using CFD1,2.
An important step in the development of computational methods is the verification of the created mathematical models in wind tunnels by correcting the data obtained, excluding boundary induction15,16,17,18
However, at present, despite the fact that RANS methods are widely used, there are hydrodynamic problems the solution to which cannot give satisfactory results. These include the problem of transition from laminar to turbulent regime and separated flows.
Recently, due to the rapid development of computer technology, direct methods of turbulence simulation (DNS, LES) have become increasingly popular. These methods have high accuracy, but require large computational resources. Therefore, it will take some time to use them in solving engineering problems. The so-called hybrid RANS/LES methods, called the methods of detached-eddy simulation (DES) of vortices14, received good development. The essence of this method is that near solid surfaces, where high resolution of computational cells is required, the RANS model is used, and far from the walls, the LES model is used. The approach significantly saves computational resources and gives high-accuracy results19.
Recently, the two-fluid model of turbulence has become increasingly popular20,21. This turbulence model is based on the dynamics of two fluids, which, unlike the Reynolds approach, leads to a closed system of equations. These articles show that the two-fluid model is a low-Reynolds one and capable of describing complex anisotropic turbulent flows. In22, a two-fluid turbulence model was used to solve the problem of the transverse flow around a square cylinder. Comparison with experimental data showed high accuracy of the model.
Up to now, the numerical implementation of the two-fluid turbulence model has been conducted using proprietary computational codes. However, the model becomes more important if it is implemented using well-known software packages. To date, special programs such as ANSYS Fluent, Solidworks, Comsol Multiphysics, etc. can be used to simulate an airfoil23,24,25,26.
ANSYS Fluent is a widely used computational fluid dynamics (CFD) software package developed by ANSYS Inc. It is a powerful tool for modeling and analyzing fluid flow, heat transfer and related phenomena. ANSYS Fluent uses the control volume method to solve fluid dynamics equations.
COMSOL Multiphysics is a powerful software package for modeling physical phenomena in various disciplines, including fluid dynamics, heat transfer, structural mechanics, electromagnetism, and chemical reactions. COMSOL Multiphysics uses the Finite Element Method to solve hydrodynamic equations. COMSOL Multiphysics offers several advantages over ANSYS Fluent and Solidworks, particularly in terms of versatility, multiphysics capabilities, and customization options. In COMSOL Multiphysics, the users have the option to define and solve their own partial differential equations (PDEs) using the Custom PDE functions. This feature enables the users to model and simulate specific physical phenomena that may not be addressed by the pre-built physics modules.
Validation of the two-fluid turbulence model and verification of the computational algorithm on a number of simple test problems, such as flows around a flat plate with a zero pressure gradient, a DSMA661 airfoil with an angle of attack of 0 degrees and a NACA 4412 airfoil with an angle of attack of 13.87 degrees.
Compare the obtained results with the results of the well-known SST turbulence model (built into the COMSOL Multiphysics program) and experimental data from the NASA Turbulence Modeling Resource (TMR) website7.
The description of this model is presented in several publications by one of the authors of this article20,21,22. The main equations for studying the tasks posed are the hydrodynamic equations of the two-fluid model24 for an incompressible medium
COMSOL Multiphysics offers a range of solvers to solve various types of problems in physics. The choice of solver depends on the type of physics being modeled, the complexity of the problem, the sought-for accuracy, and the available computational resources. To solve the equations of the two-fluid turbulence model, a fully coupled approach was used with the direct solver algorithm (PARDISO). Newton's iterative method with a damping factor of 0.1 was used. The iterative process for the problem of flow around a flat plate with zero pressure gradient lasted up to 250 iterations, and for the remaining problems, the iterative process continued up to 350 iterations. The tolerance factor is 1, the residual factor is 1000.
b37509886e