Engineers are currently encountering bottlenecks in simulation efficiency, and Ansys 2025 R1 has been released. This release brings dozens of key updates, which directly target troublesome problems such as complicated and trivial settings and slow calculation processes. This update not only improves the operating experience, but also achieves substantial breakthroughs in core solving and post-processing.
User experience and file management
This update has carried out comprehensive optimization work on the interface, and redesigned the spacing, margins and padding of various panels and menus to improve visual clarity and operational comfort. Users can now flexibly adjust the workspace layout according to their own needs.
The width and height of the console window can be customized, the width and height of the drawing window can also be customized, and the width and height of the outline view can also be customized. Even if full-screen mode is supported, this means that when processing complex data, users can use the screen space more efficiently and concentrate on viewing key charts and information.
In-solver mesh handling
The efficiency of meshing has been significantly improved. Now, you can create copies of multiple unit areas at once with a simple text command. Compared with the previous copying operation one by one, this saves a lot of setup time. When copying clusters of adjacent units, the original surface boundary conditions will be automatically retained, simplifying subsequent steps.
There is a new support for 2D meshes for polyhedral element types. When a mesh is imported and contains hanging nodes or edges, the software will automatically perform an operation to convert adjacent units into polyhedrons in order to improve the quality of the mesh. Users can also use specific commands to maintain the old behavior. At the same time, grid adaptation uses a method called PUMA method MBTI test by default. This method can avoid the generation of hanging nodes and takes up less memory.
Discrete Phase and Multiphase Model Advanced
In the field of discrete phase models, in-situ processing has recently been added to solve problems associated with wall-surface liquid film simulations. This feature can effectively reduce the number of particles representing liquid films, thereby reducing computational load. This feature was provided as a test function in previous versions and has now been officially integrated.
There is a system called a selective catalytic reduction system, in which the software adds a new model that is based on a hierarchical assessment of the risk of solid deposition. It can comprehensively calculate the deposition risk caused by hydraulic conditions, the deposition risk caused by the crystallization process, and the deposition risk caused by secondary chemical reactions, thereby giving more accurate predictions for engineering design and optimization.
Electrochemistry and Battery Models
The material library for electric potential fields has been expanded, as has the material library for electrochemical models. Now, users can define and use anisotropic solid materials in simulations that better match the real-world physical properties of many composite materials. This is crucial for accurately simulating the electric field distribution in electronic devices, and it is also crucial for accurately simulating the electric field distribution in special sensors.
For the simulation of lithium-ion batteries, this update introduces an aging model based on physical mechanisms. This model can analyze the internal causes of battery performance degradation during long-term cycle use, helping developers estimate battery life and improve design solutions.
Solver performance and GPU acceleration
Support for native GPU solvers has been further enhanced, especially in the area of turbomachinery flow simulation. The heterogeneous parallel computing capabilities of CPU and GPU now fully support the flow field remapping function. This technology can allocate I/O-intensive tasks such as reading case data to the CPU for processing, while offloading core solving calculation tasks to the GPU for execution.
This division of labor makes full use of the advantages of different hardware and maximizes the use of computing resources. Engineers can complete high-fidelity flow simulations in a shorter time period, accelerating the entire product process from design to verification.
Post-processing and visualization enhancement
Even more powerful are the functions of graphics, reporting and post-processing modules. Vector objects add display attributes such as "style" and "skip". Users can directly set the X, Y, and Z components of the vector, and can choose methods such as fixed scaling or in-plane display to make the presentation of vector graphics clearer and more intuitive.
When the "Style" attribute is added to the streamline object, it supports visualization of the flow field using various forms such as lines, points, or spheres. Users can adjust the specific parameters of the selected style to obtain a visualization effect that is more suitable for analysis. However, strip streamline diagrams are not currently supported.
Among these updates, which function can best solve the most difficult simulation problems in your current project? You are welcome to share your views in the comment area. If you find this article helpful, please like it and share it with more peers.
