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Introduction Electrification is rapidly reshaping the commercial trucking industry, promising cleaner and more efficient transport solutions. Driven by new regulations [ 1 ], the electrification of heavy-duty vehicles (HDVs) and their trailers represents is essential to decarbonize freight logistics [ 2 ]. One emerging innovation is the electrified drive axle, or e-axle, integrated into heavy-duty vehicles (HDVs) and their trailers to provide regenerative braking and additional traction. But introducing this technology fundamentally alters the dynamic characteristics of the entire vehicle, bringing new challenges in vehicle stability, a critical safety aspect for heavy-duty trucks. Our recent simulation-based study dives deep into these challenges, analyzing how electrified trailers interact with existing vehicle control systems like ABS and ESP. The goal: to identify potential stability risks including jackknifing, shaking, and roll-over [ 3 ], and uncover how a smart supervisory control system could help ensure safe operation across all driving conditions. Methodology To investigate the complex dynamics of an e-trailer system, a detailed multi-body simulation model was developed using Simcenter Amesim . Simcenter Amesim is a powerful platform for multi-domain system simulation, enabling the modeling of mechanical, hydraulic, pneumatic, thermal, and electrical components within a single environment. 2.1 Vehicle Model Description The simulated vehicle configuration consists of a 3-axle articulated vehicle: a 2-axle tractor unit coupled with a 1-axle semi-trailer featuring an electrified drive axle. The multi-body template model VDCAR22DOF01 was employed, which is specifically designed to account for critical stability issues in articulated vehicles, including: Jackknife: The acute angle formed between the tractor and trailer. Shaking: High-frequency oscillations of the vehicle body. (Trailer swing) Roll-over: Lateral instability leading to vehicle overturning. Standard tractor and semi-trailer combination Tractor and semi-trailer combination with driven trailer electrical axles 2.2 Control Systems The model incorporates realistic chassis stability controllers for both the tractor and the trailer: Tractor Unit: Equipped with ABS (Anti-lock Braking System) and ESP (Electronic Stability Program) [ 4 ]. Trailer Unit: Equipped with ABS and TCU (Traction Control Unit). The e-axle’s regenerative braking and electrical traction capabilities are integrated with specific blending strategies. The interactions between these e-axle controls and the conventional chassis stability controllers are a central focus of the analysis. Simcenter Amesim model sketch Traction blending “parallel” strategy (e-trailer machine vs. truck engine) 2.3 Driver Model An advanced driver model, utilizing Model Predictive Control (MPC) techniques, was implemented. This robust control strategy ensures accurate path following and effective sway control of the trailer, providing a realistic representation of driver inputs during various maneuvers. 2.4 Test Track Definition The simulations were conducted on a virtual test track based on a real-world road section in Croix-Rousse, Lyon, France. This challenging route includes significant ascending and descending slopes, which are crucial for evaluating the e-axle’s performance during regenerative braking and traction phases. The varying gradients and curves allow for the assessment of vehicle stability under diverse load conditions and driving scenarios. Selection of the road path with the Route planning Tool, used in the Track Import Tool Visualization of the road track Results and Discussion The Simcenter Amesim simulations provided comprehensive data on electric machine performance, battery state of charge (SOC), and overall vehicle dynamics. Electric Machine Torque at trailer axle, and battery State Of Charge (SOC) 3.1 Electric Machine Performance and Battery SOC During the ascending sections of the test track (e.g., 0-150 seconds), the e-axle required significant traction torque to assist the tractor. Conversely, during important descending sections (e.g., 250-300 seconds), the e-axle effectively engaged in regenerative braking, leading to a notable increase in the battery’s SOC. This demonstrates the e-trailer’s potential for energy efficiency and reduced reliance on friction brakes. Rapid torque sign switches (from traction to regeneration) were observed before and after overcoming road cornering, indicating dynamic operation of the e-axle. 3.2 Vehicle Dynamics and Pathological Situations The simulations revealed several critical “pathological” situations that underscore the stability challenges introduced by e-axles. One such instance occurred during a combination of significant driver steering input and braking action, where a trailer wheel was observed to be on the verge of losing contact with the road. This scenario, if unmanaged, could lead to a roll-over event. A crucial observation pertained to the interaction between the electric machine controls and the chassis stability controllers. In certain cases, particularly during rapid torque switches or intense braking/traction demands, the individual actions of the ESP on the tractor unit, ABS on the trailer, and the e-axle’s torque control were not harmonized. The absence of a high-level supervisory control system to coordinate these conjoint actions was identified as a significant risk factor. Without such a supervisor, the study indicated that a complete instability of the truck + trailer vehicle could foreseeably occur at higher velocities, highlighting a critical safety concern. Trajectory, target velocity and steering angle 3.3 Implications for Control Strategy Development The findings emphasize that simply integrating an e-axle with independent control strategies for regenerative braking and traction is insufficient. Effective integration requires a sophisticated, higher-level supervisor that can intelligently blend the e-axle’s operations with the conventional chassis stability controllers. This supervisor would need to dynamically adjust torque distribution, braking effort, and traction forces across all axles to maintain overall vehicle stability under varying road conditions, driver inputs, and e-axle operational modes. Chassis controller status (ESP and ABS) Conclusion The findings from this study highlight a key takeaway: electrified trailers hold great promise, but they require sophisticated coordination between new and legacy control systems to keep trucks stable and safe. A high-level supervisory control system is essential to avoid dangerous scenarios such as wheel lift and rollover, especially at highway speeds. If you’re involved in vehicle design, control system development, or fleet safety management, this research offers valuable insights to guide your work. Staying ahead in the electrification journey means embracing integrated solutions that prioritize stability. Referências [1] United Nations Economic Commission for Europe (UNECE). Global Forum for Road Traffic Safety (WP.1). Available at: https://unece.org/transport/publications/consolidated-resolution-road-traffic-re1 [2] European Automobile Manufacturers’ Association (ACEA). Commercial Vehicles: Decarbonisation. Available at: https://www.acea.auto/fact/commercial-vehicles-and-co2/ [3] G. G. P. Van Der Heijden, H. B. Pacejka, and J. M. J. Van Der Knaap, “Dynamic behaviour of articulated vehicles,” Vehicle System Dynamics, vol. 20, no. sup1, pp. 294-307, 1991. (General reference for articulated vehicle dynamics, not specific to e-trailers, but foundational). [4] Bosch Global. ABS and ESP: The history of vehicle safety. Available at: https://www.bosch-mobility.com/en/mobility-topics/safety-for-all-road-users/driver-assistance-systems-for-commercial-vehicle/ Want to understand how simulation can support the safe development of electric trailers and advanced control strategies? Schedule a meeting with CAEXPERTS and talk to our experts about how to apply Simcenter Amesim to assess stability, integrate control systems and reduce risks from the early phases of the project. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

The new Simcenter FLOEFD 2512 software release as of December 12, 2025 is now available in all its CAD-embedded CFD variants, and also the Simcenter 3D embedded variant. This release delivers focused improvements for fast sealing of geometry for internal flow analyses for all general purpose CFD applications through to multiple enhancements for electronics thermal analysis workflows. Please read on below to explore every new feature grouped under key Simcenter pillars, or scan the topic list on the left hand side to shortcut to the sections that interest you most. Auto-sealing of CAD geometry for internal flow CFD analysis There are many reasons for performing internal flow CFD simulations depending on modeling application or computational efficiency. For any internal flow scenario, you want to seal geometry as quickly and efficiently as possible For complex CAD assemblies with hundreds or thousands of parts, this can become a time consuming challenge to make the geometry watertight. You spend your time first, locating gaps and openings, and then sealing them manually with geometry. Such approaches also mean you are making modifications or additions to the CAD model that need to be tracked and removed before you hand back modified product geometry to design and manufacturing teams after you finish your analysis tasks. CFD tools typically have features or utilities to help you. Simcenter FLOEFD users will be familiar with Simcenter FLOEFD’s existing automatic fluid volume recognition strengths and tools such as “leak tracking” to identify paths between faces which is helpful in many instances. In Simcenter FLOEFD 2512 , a step change in auto-sealing for internal flow CFD tasks has been delivered to engineers in the form of enhancements to “Close Thin Slots” and “Fill Thin Slots”. This feature is accessible when you are utilizing Mesh Boolean approach to geometry handling and meshing, that is particularly suited to complex assemblies and varying quality found in CAD models. You can now retrieve the internal fluid region automatically for non-watertight models more easily, efficiently, and without altering CAD geometry. How do you control this new automatic mesh-enabled sealing ? Users configure “Fill Thin Slots” approach in 2 ways starting from the ribbon bar: Within the mesh group, select either global mesh or local mesh and then in mesh settings you activate close “Close Thin Slots”  then specify the “Maximum Heigh of Slots to Close” and other parameters.ers. Within the Insert group, select Source> Fill Thin Slots which opens a dialog. You then select in the graphic area faces on either side of the slot, or choose relevant bodies to consider their faces Set Solid material set the desired material (or allow the default setting). Set the parameter for “Maximum Heigh of Slots to Close” Choose between options: Fill Thin Slots only ( A conservative approach where solid material is applied within the slot) Fill within slots and openings (A default approach that is a more comprehensive sealing approach where solid material is applied in the slot and also extends into the fluid domain by one computational mesh cell to seal the opening fully) Additional notes: Simcenter FLOEFD chooses material properties from nearby to the gap to preserve close thermal model accuracy, or alternatively users can set a default value. There is an option in the mesh viewer to view where where cells are inserted by selecting a mesh plot of “closed thin cells”. How do you seal thin gaps in assemblies to prepare CAD geometry for CFD internal flow studies? Find out about the new approach in Simcenter FLOEFD 2512 by watching this short video on how seal an automotive lighting CFD model for thermal analysis where there are many gaps to seal in the CAD assembly for an internal flow case. The approach uses the method starting from the “Fill Thin Slots” dialog opened from the insert group Sources>Fill Thin Slots in the ribbon. It also shows how you can view where solid material cells are added using using the mesh viewer. Faster BCI-ROM extraction: Setting specific HTC ranges A new way to set specific heat transfer coefficient (HTC) ranges has significantly shortened the reduced order model extraction time for BCI-ROM models. Below are results comparisons for one example model where setting suitable ranges of HTC for each boundary condition is compared to setting a single common range value. In this case, extraction is 8 times faster and memory peak usage was more than halved. Shorter solve time for your models with thousands of two-resistor (2R) or Network Assembly components Thermal engineers frequently leverage components modeled as two-resistors (2R) or Network Assemblies in their models. Calculations for models with hundreds or even thousands of these is now much faster through software optimization implemented in Simcenter FLOEFD 2512 release. This enables the preparation stage of analysis to take significantly less time and use less memory. A Simcenter FLOEFD model containing DIMM memory card assemblies on a motherboard with components modeled as two-resistor (2R) type components. Download Simcenter FLOEFD 2512 and evaluate your own models with 2R and Network Assembly components to see what kind of speed you can get. For one example model, containing many 2R components, a comparison was carried out with the results shown below. A speed-up by a factor of 6 was realized for the solver time compared to the prior 2506 release and a significant reduction in peak memory usage achieved by a factor of more than 3 and a half. A useful update to scripting in EDA Bridge for PCB data processing To reduce time correcting script errors that are typically only discovered at runtime when transferring from EDA Bridge to Simcenter FLOEFD that force project restarts, scripts are now validated before running to catch errors and prevent disruption. Reduced order modeling: BCI-ROM support for 2R and Network Assembly components Boundary Condition Independent-Reduced Order Models are reduced order models that operate in any thermal environment and are extracted from a 3D conduction-only model in Simcenter FLOEFD . It is now possible to extract these from 3D electronics thermal analysis models that contain 2R and Network Assembly components. As a recap on BCI-ROM model formats that you can generate in Simcenter FLOEFD : – matrices (for standalone solution) – FMU format (for system simulation use in accordance with FMI standard) – VHDL-AMS format (for circuit simulation electro-thermal modeling use) Accurate radiation modeling: Henyey-Greenstein phase function Simcenter FLOEFD has a proven history of radiation modeling for lighting applications. In the Simcenter FLOEFD 2512 release, the Henyey-Greenstein phase function has been added that enhances accuracy for modeling scattering in certain semi-transparent materials. (This is accessible via the Simcenter FLOEFD Lighting module) You select this option and define scattering coefficients in the item properties menu. A simple comparison using basic model and source and then changing the scattering coefficient value of a plexiglass material illustrates scattering below. Easier sub model re-use: Rebuild of sub-projects “From component” Many Simcenter FLOEFD users work with sub models. The previous 2506 release delivered capabilities to define project parameters in sub projects so they propagate upward into your main CFD model. Building on that release and efforts to deliver more library driven re-use of components and sub projects, in the new 2512 release there is now a built-in function to select rebuild of all sub-projects at the same time when this is required. This eliminates time overhead of manual rebuild of each sub project. View tabular results: maximum temperature column in Component Explorer If you are working with a complex thermal model and want to more quickly retrieve maximum temperatures of all components you can now do so in Component Explorer (as a convenient alternative to assigning many Volume Goals) . A new column provides maximum temperatures of all solids with minimal effort and does not slow down the solver. You can also export value to Microsoft Excel. You can also export a useful matching table of component names, input data and resulting maximum temperatures automatically leveraging Batch Results Processing. As a reminder, Component Explorer received significant updates in the 2412 release (LED and 2R model creation, surface power listing/summation and more) and 2506 (status and temperature column) release, so please do go back and review prior release blogs and documentation. Updated FMU graphical editor makes connections clearer Users are starting to leverage multiple FMU based components in their Simcenter FLOEFD projects more and more since the introduction of “FMU as a feature“. To aid the understanding of the connections to the project and to connect multiple FMU’s to each other more easily, an FMU graphical editor has been introduced. You can more easily map goals to inputs and interpret connectivity between FMUs as complexity increases. Automation in Simcenter FLOEFD 2512: Added new capabilities in EFDAPI Automation of simulation tasks continues to be a popular topic with users. EFDAPI, the API introduced back in  Simcenter FLOEFD 2312 , continues to be developed based on consistently received user feedback. Key new EFDAPI capabilities added in Simcenter FLOEFD 2512 : Switch geometry recognition to Mesh Boolean Apply default radiation surface Switch between Global and Face coordinate systems For NX users performing PCB thermal analysis: PCB Exchange – EDA Bridge integration update For customers using Xpedition and NX CAD software, there are linkages for close MCAD-ECAD collaboration enabled by PCB Exchange.  As of this release, you can now author the set up of a PCB thermal simulation for Simcenter FLOEFD for NX , right from within the PCB Exchange workflow. This incorporates the ease of PCB data processing for thermal modeling purposes using EDA Bridge accessed through its integration into PCB Exchange. Components and libraries: XTXML export of features (for 2R and Network Assembly) XTXML export for component editing was introduced in the last 2506 release which allows users to import models from Simcenter FLOEFD Package Creator utility, make adjustments to the models and then save the models in XTXML format to libraries. Manually created detailed models can also be exported in XTXML format. The Simcenter FLOEFD 2512 enhancement now has the option to export models of 2R and Network Assembly components. This enables you to build up a component library quickly. A note for CATIA V5 users. You can now edit XTXML files exported from Package Creator or create new XTXML library items with Simcenter FLOEFD for CATIA V5, as was introduced in version 2506 for other variants. Avoid the risk of losing EDA files To reduce the risk of losing EDA files from EDA Bridge for your many projects, often stored in separate folders, an option has been introduced to store EDA files nested to the main assembly. So users can choose from 3 options in settings now: 1) Model folder – files are stored next to main assembly (default option) 2) Sub-folder – files are in a separate folder next to main assembly 3) Specify – choose permanent path to the folder Want to apply these new features of Simcenter FLOEFD to your own models and gain momentum in your next simulations? CAEXPERTS can show you, in practice, how to use the new automatic cooling features, thermal resource optimizations, and model hydration to reduce setup effort, solution time, and memory usage. Schedule a quick meeting with our team and see how to extract maximum performance from your CFD and thermal analyses. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

Simcenter Systems Simulation 2511  has just been released, introducing new capabilities that accelerate innovation across industries such as automotive, aerospace, heavy equipment, and turbomachinery. This latest version empowers engineers with smarter modeling workflows, AI-based documentation assistance, and enhanced productivity in Simcenter Amesim , Simcenter Flomaster , and Simcenter System Analyst. Together, these updates help users work faster, manage greater complexity, and seamlessly integrate simulation throughout the product development lifecycle. Simcenter X This release reinforces Simcenter Systems as a key pillar of Siemens’ digital transformation strategy, with continued focus on cloud enablement, AI-driven assistance, and user productivity across system simulation workflows. Simcenter Amesim can now also be offered as part of Simcenter X , Siemens’ flexible Software-as-a-Service (SaaS) multi-domain simulation suite. Simcenter X Advanced combines the trusted capabilities of Simcenter Amesim with the power of cloud entitlement, empowering teams to simulate multi-physics systems with scalable performance and instant access through a cloud-managed desktop. Simcenter X Advanced – Cloud-managed desktop Simcenter X Advanced offers a secure, cloud-managed desktop that enables users to access Simcenter Amesim without the burden of license setup and management. This deployment option simplifies IT administration, accelerates onboarding, and scales efficiently across distributed engineering teams. Simcenter X AI Chat Assistant – Instant answers, built into the cloud environment For customers using Simcenter X Advanced , the integrated AI chat assistant delivers contextual answers with direct links to documentation. Supporting multiple languages helps teams find information faster, streamline troubleshooting, and remain productive across global simulation environments. Simcenter Systems 2511 The Simcenter Systems 2511 release strengthens the portfolio with key improvements in electrification, cloud accessibility, and user experience. Engineers benefit from enhanced modeling accuracy, faster setup, and improved visualization features that support system-level design across industries. From streamlined parameter management to more efficient simulation workflows, Simcenter Systems 2511 empowers users to innovate with greater speed and confidence. Electrification Electrification remains a driving force in the Simcenter Systems portfolio, and this release continues to expand capabilities for battery modeling, integration, and optimization. With Simcenter Amesim 2511 , engineers can now design and validate battery packs more efficiently, leveraging improved workflows for parameter import and thermal management. These innovations support electric vehicle (EV) and energy storage applications, helping teams accelerate the transition toward sustainable and high-performance electrified systems. Battery Battery pack assistant – Seamless electrical parameter integration Defining accurate battery cell parameters can often be tedious and prone to error. With Simcenter Amesim 2511 , part of the Simcenter Systems Simulation portfolio, battery designers and integration teams can now automatically import cell electrical parameters directly from a validated database or an existing model into the battery pack assistant. This new capability streamlines the setup process, ensuring that simulations start from trusted data while minimizing manual input errors. Engineers can reuse existing models, resize them efficiently to match target capacity, and evaluate pack architectures earlier in the design cycle, all within a unified battery design environment. Whether applied to EV battery modeling or stationary energy storage systems, this update accelerates pack design and improves accuracy. Battery pack assistant – Capture heat gradients where they matter most Controlling temperature gradients within a battery pack is crucial for ensuring safety, optimal performance, and extended durability. In Simcenter Amesim 2511 , the battery pack assistant introduces a new capability that allows users to thermally discretize pattern groupings in any direction (X, Y, or Z) to better capture critical heat variations across packs. This flexible approach enables engineers to model a wide range of cell technologies, from prismatic to blade cells, adapting the size and orientation of thermal discretization to each design’s unique behavior. With just one click, users can generate detailed thermal models that accurately reflect real-world gradients, ensuring accurate simulation results. For battery designers and integration teams working in the automotive, mechanical, or energy storage sectors, this enhancement provides the control needed to refine thermal management strategies and improve the accuracy of electrification simulation workflows. Chassis engineering Electric motorcycle demo model – Analyze ride and handling with ease Designing an electrified motorcycle chassis that strikes a balance between ride and handling performance can be a complex process. With Simcenter Amesim 2511 , engineers now have access to a new electric motorcycle demo model, built using the 3D mechanical library and integrated with vehicle dynamics driver models. This demo serves as a fully modular starting point for creating and analyzing electrified motorbike architecture. Users can quickly explore different layouts and optimize the position of heavy components, such as the battery pack and e-motors, to ensure stability and control across varying speeds and trajectories. The real-time capable model helps motorbike manufacturers and suppliers study ride and handling dynamics in curves, evaluate design trade-offs, and accelerate development from concept to validation. Ground designer – Create a batch from parameters Testing vehicle behavior across different roads and terrain conditions is crucial for accurate chassis engineering. In Simcenter Amesim 2511 , the new ground designer batch feature introduces the ability to generate virtual proving grounds with multiple obstacle heights, shapes, and spacing, all defined through customizable parameters. This update enables engineers to create batch runs directly from any parameter in the ground designer, allowing for quick exploration of numerous test scenarios and geometries. The result: faster analysis cycles and deeper insights into vehicle dynamics performance on parametric 3D proving grounds. With this capability, automotive, off-road, and heavy equipment engineers can easily optimize suspension, stability, and control systems under varied conditions, boosting the efficiency and realism of vehicle simulation workflows. E-motors Squirrel Cage Induction Machine (SCIM) – Enhanced electro-thermal modeling Designing high-power-density electric drivetrains requires a precise understanding of thermal behavior and magnetic effects. The enhanced squirrel cage induction machine (SCIM) model in Simcenter Amesim 2511 introduces detailed loss definitions and non-linear inductance support for accurate electro-thermal simulations. This update enables engineers to analyze temperature-dependent losses that directly impact e-powertrain performance, helping to refine thermal management strategies and enhance system reliability. Through comprehensive modeling of DC, AC, and iron losses, the new SCIM component supports more accurate sizing, efficiency predictions, and component optimization. Whether used in automotive, aerospace, or industrial applications, this upgrade empowers powertrain engineers to push performance limits with greater confidence and precision. Energy and thermal management Efficient thermal management is crucial for maintaining performance and safety in electrified systems. In Simcenter Amesim 2511 , new capabilities within the Heat Exchanger Assistant simplify model generation and provide early design insights to help engineers optimize HVAC and cooling systems faster. Heat exchanger assistant – Streamline your HVAC heat exchanger design Creating detailed heat exchanger models can be time-consuming and prone to errors. In Simcenter Amesim 2511 , the heat exchanger assistant receives a significant enhancement with new capabilities that expand the range of supported geometries, including fin-and-tube and multi-core micro-channel heat exchangers. Engineers can now generate complete parameterized models with integrated 2D/3D visualization more efficiently. The updated assistant also introduces automatic sketch generation for multi-core micro-channel designs, helping HVAC and thermal engineers iterate faster and maintain consistent model structures. By simplifying model creation and providing real-time geometric feedback, this enhancement accelerates early-phase heat exchanger design and improves modeling confidence. Heat exchanger assistant – Early heat exchanger size and mass assessment Late-stage adjustments to heat exchanger dimensions or weight can lead to costly redesigns and delays. With Simcenter Amesim 2511 , engineers can now evaluate the size and mass of heat exchangers directly in the geometry definition phase, using the heat exchanger assistant. This enhancement provides real-time insights into packaging feasibility and component weight before running simulations, allowing teams to validate designs against system requirements earlier in the process. By integrating mass and dimensional data at the geometry stage, thermal engineers can make data-driven decisions faster and ensure alignment with performance targets and packaging constraints. Hydrogen Hydrogen continues to play a pivotal role in enabling clean propulsion and sustainable energy systems. With Simcenter Amesim 2511 , engineers gain new modeling tools that simplify the design and integration of fuel cell and cryogenic storage systems, helping industries such as aerospace, marine, and automotive explore the future of zero-emission powertrains. Fuel-cell turboprop demonstrator – Integrated gas, liquid, and hydrogen modeling Designing and validating an aircraft fuel-cell system requires accurate modeling of gas, liquid, and cryogenic hydrogen interactions across multiple components. The updated fuel-cell turboprop demonstrator in Simcenter Amesim 2511 provides a ready-to-use model that shows how to configure the required fluid species and phases using the common framework shared by the gas and fluid storage libraries. This demonstration gives engineers practical insight into cryogenic tank behavior, Boil-off gas (BOG) management, and fuel-cell operation throughout an entire flight cycle. It highlights how individual subsystems such as the cryogenic storage system, the fuel cell stack, and associated balance-of-plant (BoP) components interact within a complete aircraft configuration. Simcenter Amesim 2511 also introduces an improved hydrogen aging model, enabling engineers to evaluate long-term performance decay and its impact on power output, efficiency, and mission range. Together, these enhancements accelerate system-level validation and reduce setup time for hydrogen-powered aircraft studies. Strengthening the core Beyond electrification and hydrogen innovation, Simcenter Systems Simulation 2511 also strengthens its foundation with improvements that enhance accuracy, interoperability, and productivity across the modeling environment. These updates help engineers build, manage, and analyze system models more efficiently, whether they’re optimizing pneumatic and gas systems, working with advanced libraries, or improving collaboration through tighter version control. With new capabilities across both Simcenter Amesim and Simcenter Flomaster , including enhanced simulation libraries, improvements to turbomachinery modeling, and strengthened Git integration, Simcenter Systems Simulation 2511 reinforces the robustness and scalability of the platform for all industries. Gas library – Build scalable and accurate gas systems Modern gas systems require precise control, reliable modeling, and strong scalability, especially in automotive, aerospace, and industrial applications. The new gas library in Simcenter Amesim 2511 introduces a unified, real-time-capable framework that replaces multiple legacy pneumatic and gas libraries, offering greater accuracy, consistency, and flexibility. This next-generation library integrates industry-standard modeling capabilities, including ISO-6358 compliant components and Redlich–Kwong–Soave (RKS) equations of state, enabling engineers to simulate compressible flows and advanced gas behavior with improved fidelity. The library is also fully compatible with real-time export, making it suitable for hardware-in-the-loop (HiL) applications and control system validation. By consolidating and modernizing the modeling workflow for gas systems, the new gas library helps teams build, maintain, and scale large multi-domain system models more efficiently and with higher reliability. New help system – Faster access to smarter documentation Accessing technical documentation efficiently is critical for simulation engineers. The new browser-based help system in Simcenter Amesim 2511 delivers a modernized and more intuitive documentation experience. With enhanced search capabilities, familiar navigation categories, and integrated web features such as zoom, bookmarks, translation, and history, users can now find information more quickly and easily. The new help platform also offers seamless integration with Simcenter Amesim , allowing engineers to directly access relevant documentation without interrupting their workflow. NX Diagramming XML import – Simplify system model creation For fluid system engineers working on complex piping networks, CAD tools are often used to define the initial layout of 2D diagrams. However, transferring these definitions manually into a system simulation environment can be time-consuming and error-prone. The new NX Diagramming XML import capability in Simcenter Amesim 2511 bridges this gap by allowing users to automatically generate system models directly from NX Diagramming files. This functionality enables engineers to rapidly create 2D piping network definitions inside Simcenter Amesim , ensuring seamless interoperability between CAD tools and system simulation. By eliminating repetitive manual work, it accelerates model setup and provides a smoother transition from early design to performance validation, benefiting industries such as energy, oil and gas, marine, aerospace, and process engineering. 3D Scenes – Enhanced visualization for model setup and analysis Understanding model behavior visually can dramatically improve accuracy and productivity. The new 3D Scenes tool in Simcenter Amesim 2511 introduces an advanced 3D visualization environment that enables engineers to interact directly with simulation models, whether it be during building or in the simulation phase. This enhancement enables users to set parameters effortlessly by interacting with 3D objects, gain a better understanding of the system before running simulations, and interpret physical quantities through clear visual cues. With two distinct 3D viewing modes available, engineers can visualize model states before and after simulation, enabling them to validate configurations and identify potential modeling issues early. By providing intuitive visualization and interactive parameter control, the new 3D Scenes feature empowers system simulation engineers across industries to make faster, more informed design decisions. Test Execution Manager – Compare reports side by side As simulation models evolve, engineers often need to validate changes, compare results across versions, or assess the impact of updates to libraries and model parameters. Manually comparing outputs from different runs can be tedious and error-prone, especially when handling large datasets or complex systems. The enhanced compare-report feature in the Test Execution Manager streamlines this process by displaying two reports side by side in a clear, structured table. Differences in parameter values, simulation outputs, and timeseries data are automatically highlighted, making it easier to pinpoint what changed between two executions. This capability improves productivity by reducing the manual effort required for regression testing and model validation. It also strengthens traceability and transparency across simulation runs, helping engineers understand the impact of updates more quickly and make better-informed decisions. Client for Git – Large File Storage (LFS) The Large File Storage capability in Simcenter Client for Git keeps repositories lightweight by storing large files in a dedicated area. This speeds up uploads, removes file-size limits, and enhances version control efficiency. Client for Git – Delete branches from server collections As simulation projects evolve, Git collections often accumulate numerous branches — many of which eventually become outdated or unused. These obsolete branches take up server space, clutter the project history, and make it harder for teams to navigate active development lines. With Simcenter Client for Git in the 2511 release, users can now delete branches directly from server collections. This capability makes it easier to remove unnecessary or obsolete branches at the source, helping teams keep their repositories lean and better organized. By decluttering the repository, server collections become smaller and more efficient, improving performance during repository operations. It also supports better project hygiene by maintaining a cleaner and more understandable version history. Overall, this enhancement enables engineering teams to manage their branches more effectively and maintain a streamlined, professional version-control workflow. Turbomachinery simulation improvements Meeting today’s efficiency and performance targets in turbomachinery requires highly detailed and integrated modeling capabilities. As systems grow more complex, traditional approaches often struggle to capture the full dynamics of rotating components, secondary air flows, and co-simulation behaviors across tools. Simcenter Flomaster 2511 introduces several targeted enhancements to address these challenges. Internal duct and forced vortex components have been upgraded to support turbine speed data directly, enabling more realistic and precise modeling of rotating secondary air systems. A new flow-tracking capability now enables engineers to visually trace which inlet sources contribute to the flow at any given outlet, providing deeper insight into system behavior and helping to accelerate diagnostics. Additionally, FMU export has been reinforced with support for implicit iterations and improved error handling, resulting in more robust co-simulation with Simcenter 3D Thermal . Together, these improvements deliver more accurate turbine speed modeling, clearer flow-origin identification, and smoother integration into whole-engine digital workflows, supporting faster decisions and more reliable development of high-efficiency turbomachinery systems. Want to understand how Simcenter Systems Simulation can accelerate innovation, reduce the complexity of your projects, and increase the productivity of your engineering? Schedule a meeting with CAEXPERTS and discover, in practice, how to apply these advanced simulation resources to your challenges in electrification, thermal systems, hydrogen, and much more. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

SIEMENS NX delivers the next generation of design, simulation and manufacturing solutions that enable companies to realize the value of the digital twin. NX for Design; Automate electrode design; Additive Manufacturing; Tool Design; Mold; Headquarters; Stamping; Generative Engineering; Direct and Synchronous Modeling NX NX is a flexible and powerful integrated solution that helps you deliver better products faster and more efficiently. It offers the next generation of design , simulation and manufacturing solutions that enable companies to realize the value of the digital twin. Supporting all aspects of product development, from conceptual design to engineering and manufacturing, NX offers an integrated toolset that coordinates disciplines, preserves data integrity, design intent, and streamlines the entire process. Contact an Expert NX for Design NX for manufacturing Automate electrode design Additive Manufacturing Tools and accessories design Mold design Progressive matrix design Stamping die design Generative Engineering The industry's most powerful, flexible and innovative product development solution, NX has the performance and features to help you get your product to market faster than ever before. Drive efficient end-to-end part manufacturing operations and deliver high-precision parts through digitalization. Program CNC machine tools, control robotic cells, 3D printers and monitor quality using one software system. Digitally transform your parts manufacturing business to gain productivity and increase profitability. The electrode design software application in NX simplifies electrode modeling and design for any tool design that requires electrical discharge machining (EDM). NX electrode design software offers a time - saving, step-by-step solution that automates the entire EDM process, from design to production. It even helps manage even the most complex and challenging electrodes. Industrialize additive manufacturing and create revolutionary products using our integrated software . Design, simulate, prepare, print and validate prototypes or production parts on a wide range of 3D printing equipment. Automate the design of associative molds, fixtures, and stamping and progressive dies using process-based design applications. Accelerate the entire mold development process, including part design, tooling design, and motion validation. Ensure rapid response to design changes and high quality molds. Improve productivity by automating the most tedious tasks and streamlining complex progressive die design processes. Use a comprehensive solution for free-form and straight-break sheet metal parts. Use advanced features to design automotive stamping dies, including formability analysis, die planning, die face design, detailed die structure design, and die validation. A generative design process is one that engineers can adopt to rapidly develop new products based on meeting design constraints. It is an iterative process that produces quick results that the engineer can refine through constraint variation to find the best design to meet the requirements. As companies face increasing pressure to get products to market faster, designgenerative is now a necessity in product development. Engineers, constrained by time constraints, often choose the first viable design over the ideal one. It is imperative that companies adopt tools that empower engineers to find the best design to meet requirements earlier in the development process in order to stay competitive. ⇐ Back to Tools

Simcenter STAR-CCM+ computational fluid dynamics (CFD) software capable of running complex multiphysics simulations of products operating under real operating conditions. DEM particle flux; Electrochemical Simulation; Moving objects; Multiphasic; Reactive; Rheology; Drums; Motor; solids; Simcenter STAR-CCM+ Simcenter STAR-CCM+ is a computational fluid dynamics (CFD) software capable of running complex multiphysics simulations of products operating under real operating conditions . Simcenter STAR-CCM+ also incorporates design exploration and optimization technology as the basis of the simulation toolkit available to the engineer. The unique integrated environment includes the entire workflow from CAD, automated meshing, multiphysics CFD, sophisticated post-processing and design exploration. This allows engineers to efficiently explore the entire design space to make better decisions faster. The additional insight gained from using Simcenter STAR-CCM+ to guide your design process leads to more innovative products that exceed customer expectations. Contact an Expert Computational fluid dynamics simulation (CFD) Particle flow Project Exploration Electrochemical Simulation Moving objects Multiphase Flow Simulation Reactive Flow Modeling and Rheology Thermal simulation Battery simulation Co-simulation Electric machines Engine simulation Mechanics of Solids Simc enter provides industry-leading Computational Fluid Dynamics (CFD) software for fast and accurate CFD simulation of engineering problems involving the flow of liquids, gases (or a combination of both), along with all the associated physics. The discrete element method can be used to simulate the motion of a large number of discrete objects (particles) that interact with each other, such as the granular flow of aggregates, food particles, metal powders, capsule tablets, and wheat or grass. Simcenter is the first commercial engineering simulation tool to include a DEM feature fully coupled with numerical flow simulation. Design exploration software takes simulation to the next level, allowing users to determine appropriate variable values, thereby generating product designs that result in exceptional performance Significantly improving a battery design throughout its operating range is a challenging task and involves the simultaneous optimization of several parameters. Simcenter provides a complete simulation environment for electrochemical system analysis and design and detailed geometry of individual battery cells. Within a single CFD software environment , Simcenter empowers users to simulate not only a wide range of physics, but also a wide range of body and mesh movements to accurately capture their physics. With our motion models for CFD simulations, you can simulate the real-world performance of moving and overlapping objects with an overset mesh , predict the dynamic motion of bodies with 6 degrees of freedom, understand multiphysics interactions to model performance in operation, easily drive geometric changes for design exploration, easily predict machine behavior in rotation/translation, and define sophisticated motions to accurately replicate machine operations. Accurately representing the physical behavior of different fluid and solid phases is critical to capturing the real performance of your product. Simcenter offers a variety of Eulerian and Lagrangian modeling capabilities to meet your multiphase flow simulation needs. Gain insight into the interactions between the turbulent flow field and the underlying chemistry of reaction flows. Simcenter helps you to improve the balance between your device's performance and emissions for different operating conditions. Computational rheology is used to model non-Newtonian or viscoelastic materials in industrial problems. The module for rheology accurately solves the flow of complex rheological material and helps to predict its behavior under real operating conditions. Star CCM+ includes first-class, comprehensive thermal simulation capabilities that can help you understand your product's thermal characteristics and subsequently tailor your thermal management solution for optimal performance. Digitally validate cell design , including cell performance and geometric specifications with battery CFD simulation. Extensive battery cell components are available, as well as a materials database to support the user in model development using CFD analysis. Pair with other simulation tools through dedicated interfaces or an intuitive API. This enables multiphysics simulations with different time scales ranging from microseconds to thousands of seconds, providing faster, more accurate analysis and shorter turnaround times for developing and evaluating complex designs. Complete analytical models cover all aspects of electrical machine design, including thermal, electromagnetic, and drive control. Particularly important in this regard is the efficient use and even disposal of magnets. Our simulation tools are structured to provide seamless design capability across the full range of permanent magnet and reciprocating machines, including hybrid combinations, and cover the full range of power, voltage and speed used in vehicular systems. Engine simulations involve moving components, multiphase flow, combustion and heat transfer. You no longer need to be an expert user to simulate internal combustion engines: using an application-specific workflow and a streamlined interface, you can quickly and easily set up engine simulations. Experienced users can use these simulations as a starting point to perform more complex multiphysics engine simulations, exploiting the full range of Simcenter STAR-CCM+ simulation capabilities. Almost all real-world engineering problems ultimately depend on the interaction between fluids and solid structures. Simcenter STAR-CCM+ offers finite volume (FV) based computational fluid dynamics and finite element (FE) based computational solid mechanics (CSM) in a single, easy-to-use, integrated user interface. Using this approach, you can solve static, quasi-static, and dynamic problems, including those with nonlinear geometry and multiple parts using sliding and glued contacts. ⇐ Back to Tools

CAEXPERTS brings together an experienced and multidisciplinary team of CAE experts, prepared to deliver advanced engineering and computational simulation at different scales and levels of maturity. We use high-performance hardware and software resources that are scalable in the cloud. SIMULATION SPECIALISTS We are a team prepared to deliver results , innovation and competitiveness . Resquest for Quotation Areas of expertise Advanced Engineering Digital Twins Knowledge Transfer Assertive Solutions Cost Reduction R&D and Innovation Digitization of Engineering With the advancement of globalization and technological competitiveness, products and their manufacturing processes are increasingly complex , with more restricted life cycles . In response to this, vanguard companies use computer simulation to virtually test their projects, concepts, inventions, products, equipment and processes, in the most critical scenarios, seeking to always be ahead and go even further. SIEMENS Digital Industries takes this seriously and brings the broadest range of software tools for digitization and computer-aided engineering to the market . Know the Tools Discover the Disciplines Why CAEXPERTS CAE implementation As official resellers of SIEMENS Digital Industries software, we help your company build a high-performance CAE team for your engineering, combined with the ideal simulation tools in conjunction with our technical team, so that your production generates assertive results in an intelligent and fast way. We are simulation experts and know how industries can obtain a high return on their CAE investments. Engineering Services We help industries increase their competitiveness and raise their level of innovation. We work with projects and consultancy for the development of products and equipment, as well as conduct studies aimed at reducing Capital Costs and Operating Costs of industrial enterprises, owner engineering, R&D in industrial processes, integrity analyses and increased operational reliability of production assets. In addition, we are official resellers of Siemens software, which allows us to offer the best technological solutions to our customers. Conheça os nossos serviços Discover our Services Softwares ofertados Software Licensing 3D Multiphysics Simulation Simcenter 3D Star-CCM+ FloEFD Femap CAD Design Solid Edge NX 1D Systems Simulation Flomaster Amesim Electromagnetic Simulation and Design Magnet E-machine Design Speed HEEDS Optimization Learn more Why CAEXPERTS Professional Development: Program designed for engineers and professionals who want to master the use of computer simulation tools in real industry applications. Personalized: We work side by side, from the selection of relevant topics, the study of the state of the art, the scientific technical development stages, training until the completion of the project. Real Projects: The training is developed based on real industry challenges, providing applied and practical learning that prepares you for concrete challenges. Recognition: Master computer simulation in practice and become an expert valued by the industry. Discover our specialization program Areas of expertise ACOUSTICS ELECTROMAGNETIC COMPATIBILITY DESIGN OF ELECTRONICS CIRCUI S COMPUTATIONAL FLUID DYNAMICS THERMOFLUID DYNAMIC SYSTEMS WIRING AND WIRING HARNESS ELETRIC MACHINES STRUCTURAL ANALYSIS PROJECT OPTIMIZATION MATERIALS ENGINEERING ADDITIVE MANUFACTURING AUTOMATION Âncora 1 Know more Recent Posts 1 2 3 4 5 See it all Let's start Get in touch and find out why CAEXPERTS and the best solution for your company's engineering to go even further. Name Last name Email enter a message I agree to receive information and news by email To send Thank you!