More Flexibility for Creating Complex Grids – Loose Contact Interfaces for Multiphase Flow Models

  • Blog

Wilfried Edelbauer
Senior Development Owner

The loose contact interface is a simple and easy-to-use mesh interface between solid and fluid or solid and solid material domains for thermal CFD simulations. It can be also located within a solid domain connecting different mesh regions within the same material domain. Different to the standard conform mesh interface, the loose contact interface allows independent generation and connection of different mesh parts. This reduces the pre-processing effort significantly. Since 2024 R1 the loose contact interface is available for the multiphase module in AVL FIRE™ MFigure 3 shows a quenching simulation with two solid domains, the gears and the steel rack, and the Multiphase water-air domain, where all material domains are connected with loose contact interfaces.

gl_ast_image_blog-header_loose-contact-interfaces-firem_07_24.jpg

The standard interface in multi-material domain simulations is the conform mesh interface, as shown in Figure 1 left. There the first domain appears in orange color, the second in blue color. This interface is very accurate for heat transfer simulations, because each boundary face at one domain of the interface has a unique shadow boundary face. Both boundary faces have the same area, and there are no gaps or interpenetrations with the faces of the neighbor domain. All shadow boundary faces belong to the same boundary region and the same material domain. But the mesh generation with this interface is less flexible, because the whole mesh has to be created in one step.

The loose contact interface, as shown in Figure 1 right is significantly different. There, a boundary face at the interface of one domain can have several shadow boundary faces. In general the boundary faces on the first domain and the shadow boundary faces have different surface areas, and the shadow boundary faces may belong to different boundary regions and even different material domains (green domain in Figure 1 right). Gaps and interpenetrations are tolerated, and contact interfaces within the same material domain are supported. A bit lower accuracy in terms of heat transfer can be expected with such computational meshes, but there is highest flexibility in the meshing process, because each part of the mesh can be created independently from the others.

The loose contact interface functionality has been available since 2023 R2 for single-phase and since 2024 R1 for Eulerian Multiphase.

gl_ast_image_blog_loosecontacts-firem_01
gl_ast_image_blog_loosecontacts-firem_01
Figure 1: Conform domain interface (left) and Loose contact interface (right).

The CFD flow solver calculates the energy balance at the interfaces. For both interfaces, the standard conform and the loose contact, the heat flux is balanced in order to obtain the interface temperatures at the boundary faces. In multiphase simulation, the heat flux of the different phases, e.g. oil and vapor, and the heat release by phase change due to boiling and condensation, has to be considered additionally. The loose contact interface supports thermal resistance between the material domains leading to temperature jumps at the interface, and it has been implemented for the following multiphase models: 

  • General multiphase flow without phase change (convective heat transfer only)
  • General wall boiling model
  • Immersion quenching model
  • Jet impingement model
  • RPI boiling model
  • Wall condensation model

Loose contact interfaces are defined during the meshing process in AVL FAME™ , as shown in Figure 2. In the FIRE M Solver GUI no separate set-up is necessary.

gl_ast_image_blog_loosecontacts-firem_02
gl_ast_image_blog_loosecontacts-firem_02
Figure 2: Definition of Loose contact interfaces during the pre-processing steps.

The new loose contact interface for multiphase was successfully applied in an immersion quenching simulation with the general wall boiling model. The presented example is slightly changed. Oil quenching of four steel gears located on a CrMo stainless steel rack is simulated. There are three domain interfaces in the computational mesh: gears  fluid, rack  fluid, gears  rack, which are all connected by the loose contact interface. The initial temperature of the gears and the rack is 900 °C, and the initial oil and air temperatures are 20 °C. The mesh is static and the oil enters the domain from the bottom with 4 cm/s for the first six seconds in order to simulate the immersion process.

The applied general wall boiling model is a powerful model with seamless transition between film, transition and nucleate boiling regimes. Leidenfrost temperature and transitional temperature (change from nucleate boiling to transitional boiling regime) are model inputs. For oil quenching and the given initial temperature, mainly transitional and nucleate boiling can be expected. Consequently, the Leidenfrost temperature was set to a 1025 °C, which is never reached in this simulation. This ensures that the heat transfer is modelled with the transitional boiling, the nucleate boiling and the pure convection regimes. The critical heat flux factor was set to 0.3, and the transitional temperature is 525°C. Details and useful hints for model parametrization of the general wall boiling model can be found in the User Manual (see section 5.5.2.4.7.1. in FIRE M User Manual of 2024 R1). The physical time was 300 s, and the simulation is performed as Euler-Eulerian Two-Fluid simulation.

Simulation results are exemplarily shown in Figure 3. The left figure shows the solid surface temperature distribution of the gears and the rack and the iso-volume of the oil volume fraction after 10 seconds. In this initial stage of the oil quenching process the vapor formation is strong, obviously seen by the four rising vapor columns next to the gears. On the right-hand side of Figure 3 the mean temperature curves of the gears (red) and the rack (left) are shown. Since the thermal mass of the rack is higher, the cooling is slower. One can also observe a small change in the slope of the curve between 500 and 600 °C. This is the transition between transition boiling and nucleate boiling regimes. A movie of the steel quenching process in time-lapsed mode is shown in Figure 4. Note, the temperature colorbar is adjusted in each time step for better illustration. 

gl_ast_image_blog_loosecontacts-firem_03
gl_ast_image_blog_loosecontacts-firem_03
Figure 3: Surface temperature at the gears and the rack and oil iso-volume plotted after 10 seconds (left) and mean temperature curves of the gears (red) and the rack (blue).
gl_ast_image_blog_loosecontacts-firem_04_0.gif
Figure 4: Time-lapse imaging of the steel quenching process from 0 to 300 seconds.

For verification, the simulation with the loose contact interface has been compared to a simulation with the standard conform mesh interface. Since the operation point and the model are the same, the simulations results have to be very similar. Figure 5 shows the comparison of the mean temperatures between gears and rack, and Figure 6 shows the comparison of the instantaneous surface temperature distributions after 200 seconds. There is perfect agreement between the two simulations. Due to the low mesh dependency of the general wall boiling model, the results are almost identical indicating that the implementation works correctly. 

gl_ast_image_blog_loosecontacts-firem_05
gl_ast_image_blog_loosecontacts-firem_05
Figure 5: Mean temperature curves of gears (red and green) and the rack (blue and lila) compared between loose-contact interface and conform multi-material cases.
gl_ast_image_blog_loosecontacts-firem_06
gl_ast_image_blog_loosecontacts-firem_06
Figure 6: Comparison of the solid surface temperature distribution between standard conform mesh interface (left) and loose contact interface (right) after 200 seconds.

Since release 2024 R1 the loose contact interfaces are available for Eulerian Multiphase in FIRE M. It is supported for all kinds of conjugate heat transfer problems in multiphase, and it correctly considers the thermal contact resistance. Loose contact is a powerful alternative to the conform multi-material interfaces. General wall boiling, RPI, wall boiling, immersion quenching, impingement quenching, and wall condensation are supported. Due to the low mesh dependency of the general wall boiling model, there is excellent agreement in the simulation results between loose contact and conform domain interfaces. The general wall boiling model of FIRE M is a unique wall boiling model which covers all relevant boiling regimes with seamless transition.

Stay tuned

Don't miss the Simulation blog series. Sign up today and stay informed!

Like this? Maybe you’ll also enjoy these…

Header ChatSDT
Meet ChatSDT – An Overview

ChatSDT is our new AI customer support assistant. By embracing generative AI technology, ChatSDT will provide personalized advice and insights.

gl_ast_image_blog-header-identity-series_10_24
From Punch Cards to Virtual Twins: The Evolution of Advanced Simulation Technologies and Its Legacy of Innovation

Starting over 40 years ago with punch cards as the first steps towards modern-day simulation, today Advanced Simulation Technologies (AST) is an invaluable business unit driving innovation. Predicated by decades of technical experience and know-how, since establishment it has earned a tradition and legacy at AVL.

AVL Simulation Blog - How Simulation Helps the Marinesector Become More Sustainable
How Simulation Helps the Marine Sector Become More Sustainable

Ships are complex systems classified based on size and usage and marked by their numerous sub-components. Each of them plays a crucial role.

Simulation Blog - Analyzing Critical ADAS/AD Scenarios With AVL Scenario Simulator™
Analyzing Critical ADAS/AD Scenarios With AVL Scenario Simulator™

To determine if an automated driving function is safe, billions of test kilometers would be required. Physical testing and real-world prototypes simply cannot efficiently handle such a massive test volume. Virtualization offers a more sustainable option that can manage the enormous test volume required at a much lower cost.

gl-ast_blog-battery-aging-header-07-2024
Gaining Insights Into Battery Aging With the Virtual Twin

The battery is undoubtedly the most complex component of modern electric cars and is largely responsible for the driving experience and range. However, over the course of its service life, it is subject to a continuous loss of performance due to degradation mechanisms that impair its storage capacity and thus the range and power output of the vehicle.

gl_ast_image_blog-header_template_04_23.jpg
Particle-Based Simulation to Optimize Dishwasher Design

Dishwashers are one of those common household appliances that can be found in almost every modern kitchen. Over the decades, not only have dishwasher designs and capabilities been adapted, but the methods and technologies used to analyze and enhance various aspects of dishwasher efficiency have also changed significantly.

gl-ast_blog-fast-charging-header-01-07-2024
Optimizing Fast-Charging Strategies for Electric Vehicles

Electromobility is facing a key challenge: battery charging times must be minimized in order to increase the acceptance of electric vehicles. This is of key importance as, alongside range, charging time is one of the most important factors for user satisfaction.

gl_ast_image_blog-header_template-01_04_23
Develop and Evaluate Solid Oxide Electrolyzer Systems Through Simulation

Global initiatives and actions to reach long-term climate goals are evidently resulting in the development and industrialization of new electrolyzer systems. Significant growth of announced electrolyzer projects is forecasted each year and solid oxide electrolyzers (SOEC) are one of the most promising technologies.

gl-ast_image-web-blog-soiling-header_00_06-24.jpg.
5 Reasons Why PreonLab Is the Ideal Simulation Software for Vehicle Soiling Simulations

Understanding and managing the influence of soiling on a vehicle is a critical aspect of driving safety that needs to be considered while designing vehicles. Soiling or contamination can be caused by the deposition of fluid and solid contaminants on the vehicle surface due to splashing, harsh weather conditions while driving, ...

gl_ast_image_blog-header_template_04_23.jpg
Particle-Based Simulation to Optimize Dishwasher Design

Dishwashers are one of those common household appliances that can be found in almost every modern kitchen. Over the decades, not only have dishwasher designs and capabilities been adapted, but the methods and technologies used to analyze and enhance various aspects of dishwasher efficiency have also changed significantly.

gl_ast_image_blog-header_calibration-of-fuel-cells-and-electrolyzers
Advanced Automatic Calibration of Fuel Cells and Electrolyzers in AVL FIRE™ M

As the world seeks sustainable energy alternatives, fuel cells and electrolyzers emerge as a promising solution. These electrochemical devices play critical roles in the clean energy landscape. 

gl_ast_image_blog-header_thermal-runaway
Preventing Thermal Runaway: Simulation as a Tool for Improved Battery Cell Safety

Driving range is one of the key sales drivers of battery electric vehicles and to the end customers, every kilometer counts. There are several ways the total efficiency of the vehicle can be increased, such as improving aerodynamics or decreasing vehicle weight, but one of the major contributors is an efficient thermal management system (VTMS).

gl_ast_image_slideshow-release2024r1_keyvisual_16x9.jpg
AVL Simulation Software Release 2024 R1

Discover new features and updates to our simulation solutions.

Skip to main content Toolbar items Administration menu Home Current page Content Structure Translation Reports Configuration Help Close Breadcrumb Back to site  Edit gl_iodp_imag_optimizing_hybrid_powertrain_system_interactions_on_all_testbed_types_07.22.png  Edit Media Toolbar items Prod Go to  Global Nusa.Viher@avl.com Edit Image gl_ast_image_header-blog_vtms-kolaric_04_23.jpg Primary tabs Edit(active tab) Delete Usage Translate Name gl_ast_image_header-blog_vtms-kolaric_04_23.jpg Category  - None - Statu
Leveraging Simulation to Achieve Highly Efficient Vehicle Thermal Management

Driving range is one of the key sales drivers of battery electric vehicles and to the end customers, every kilometer counts. There are several ways the total efficiency of the vehicle can be increased, such as improving aerodynamics or decreasing vehicle weight, but one of the major contributors is an efficient thermal management system (VTMS).

aem-blog-00.png
Simulation of Anion Exchange Membrane (AEM) Electrolyzers With AVL FIRE™ M

Discover new features and updates to our simulation solutions

Stay tuned for the Simulation Blog

Don't miss the Simulation blog series. Sign up today and stay informed!

CAPTCHA
By clicking on submit, you give consent to the use of the data you provided to process your request and to receiving communication in connection with your request/registration.
Please click here to view the AVL Privacy Policy.