In the fast-paced world of product development, engineers constantly strive for innovation, efficiency, and accuracy. Yet one persistent bottleneck continues to slow the journey from design (CAD) to high-fidelity simulation (CAE): geometry preparation. It is a question familiar to many CAD and simulation engineers: Why do we need a dedicated simulation geometry preprocessor when powerful CAD systems already exist? The answer lies in the unique demands of simulation. Meshing algorithms, the foundation of accurate simulations, require geometry that is not only visually correct but also clean, robust, and watertight. Sliver faces, unnecessary features, and small gaps can compromise mesh quality and ultimately affect simulation accuracy. Equally important is the ability to parameterize imported geometry, enabling rapid design exploration, iteration, and optimization. The qualities of a true geometry preprocessor A simulation geometry preprocessor is far more than a CAD viewer or repair tool. It serves as the critical bridge between design and simulation, transforming engineering data into simulation-ready models while preserving design intent. To achieve this, it must excel in five key areas: 1. Seamless CAD and PLM connectivity A geometry preprocessor should import data from a wide range of CAD and PLM systems while preserving assembly hierarchies, part instances, metadata, and design information. For complex products such as automobiles, aircrafts, ships, or railway systems, maintaining this digital continuity is essential for efficient simulation workflows. 2. Simulation-focused geometry preparation Simulation demands geometry that is clean, robust, and watertight. A dedicated geometry preprocessor must automatically remove unnecessary features such as logos, holes, sliver faces, and small entities, while repairing topology issues and closing gaps to create simulation-ready models for reliable mesh generation. 3. Geometry creation, modification and design exploration Engineers must be able to rapidly evaluate design alternatives without repeatedly returning to the original CAD environment. A comprehensive geometry preprocessor should provide a full suite of modeling tools, including extrude, revolve, loft, sweep, synchronous modeling, and freeform modeling. Combined with parameterization capabilities, these tools enable efficient geometry creation, modification, optimization, and what-if studies directly within the simulation workflow. 4. Change management through seamless re-import Design changes are inevitable throughout the product development cycle. A true geometry preprocessor should support seamless re-import of updated CAD data while automatically preserving existing geometry operations, parameters, and simulation preparation work. This capability eliminates repetitive preprocessing effort and significantly reduces turnaround time between design revisions and simulation. 5. Advanced engineering and automation capabilities Beyond geometry preparation, a powerful preprocessor provides specialized tools for CFD and FEA workflows, supports both B-Rep and convergent modeling, enables intelligent geometry queries, and offers scripting capabilities for workflow automation. These capabilities allow engineers to efficiently handle applications ranging from electronics and batteries to turbines, engines, aircrafts, and ships. Simcenter STAR-CCM+’s geometry preprocessor: The ultimate bridge Among the solutions available today, Simcenter STAR-CCM+ geometry preprocessor stands out by combining these capabilities within a single simulation-focused environment, acting as a seamless bridge between CAD systems and CAE workflows. The seamless CAD-to-CAE integration: A Siemens success story The discussion around the optimized pipeline within the Siemens Digital Industries Software Ecosystem highlights a groundbreaking solution for seamless CAD-to-CAE integration, accelerating digital engineering and enhancing product lifecycle efficiency. The core business bottleneck often arises from the friction experienced by engineering teams when extracting complex models from secure PLM systems into simulation environments. Manual exports lead to a loss of critical data provenance, degraded structural constraints, and stripped-away parametric engineering intelligence, significantly extending verification loops and increasing costs. The enterprise-integrated solution involves an automated, managed data workflow starting from Designcenter NX, dynamically governed through Teamcenter using PLMXML schemas and the Designcenter NX Adaptor. This ensures that structured assets are passed directly into the geometry preprocessor and onto Simcenter STAR-CCM+, creating a fully traceable architecture that preserves design structure, assemblies, metadata, and unique geometry. Key operational differentiators: Secure, trackable PLM data flows: Minimizing raw geometry exports and maintaining data integrity. Fully associative assembly hierarchy Automated geometry cleaning tools: Including defeaturing, logo/irregular hole removal and small entities removal tools. Specialized parametric tools: Covering freeform and turbomachinery, battery, IC engine fields, with capabilities to extract internal/external fluid volumes and track contacts. IC engine assembly demonstrating assembly constraint-based positioning Electronic package model prepared for simulation using instancing and assembly constraints Turbine blade fluid-passage extraction workflow Fluid volume extraction in thin GPU water-cooling geometries Core technical pillars of the geometry preprocessor Geometry preprocessor seamlessly transforms PLM-managed structures into simulation-ready computational domains, built on several core technical pillars: Full assembly support: Extracts and displays the complete hierarchical tree structure directly from Teamcenter via PLMXML metadata, retaining custom names, part strings, and tracking attributes. Allows users to apply assembly constraints. Advanced repair tools: Scans, identifies, and resolves non-manifold structural design anomalies, building watertight computational boundary volumes required for mesh generation. This includes: Defeaturing: Automatic removal of secondary blends, chamfers, and rounds. Logo removal: Rapid stripping of corporate branding text and part stamps. Irregular hole removal: Patching complex unlinked structural cutouts. Bridge volume: Closing clearance gaps between parts. Repair-Cad: Converts invalid geometry into simulation-ready geometry. Advanced preprocessing specializations: Leveraging tailored functional sandboxes to fast-track targeted physics and geometric setups, such as: Freeform modeling tools: Integrating a direct, highly adaptive modeling engine within the simulation preprocessing canvas, empowering analysts to make localized adjustments without reverting to standard CAD workflows. This includes direct surface morphing, aerodynamic optimization loops, and interactive shaping. Dedicated turbine tools: For blade profiles, passages, hub, and shroud trimming. Facet/Mesh to B-REP: Converts convergent model into editable B-rep geometry. Search tools and query mechanism Various query mechanisms to identify topological entities Usage of queries in individual Features Contact browser: Provides a quick way to verify face-to-face contacts before meshing. Case study: Parametric modeling and geometry modification using freeform tools The Freeform tool in geometry preprocessor provides a powerful way to modify and parameterize imported geometry. By controlling edge boundary conditions, engineers can rapidly create and evaluate multiple design variations without returning to the source CAD model. Case study: Preparing a complex engine model for CFD Simulation This workflow demonstrates how a complex engine assembly can be transformed from production CAD data into a simulation-ready computational domain. Using advanced repair, defeaturing, topology cleanup, and fluid volume extraction tools, engineers can rapidly eliminate geometric issues, generate watertight fluid regions, and accelerate the transition from design data to CFD analysis without returning to the source CAD model. The example highlights how a dedicated geometry preprocessor accelerates simulation setup while preserving design intent. Quantifiable business Impact The optimized integration pipeline yields significant business benefits: Reduced geometry preparation time: Automated defeaturing, feature stamp/plug cleaning, and irregular hole cleaning can shrink preprocessing time from days to mere hours. Improved design iteration rate: Parametric variants cycle quickly from Designcenter NX/Teamcenter via the Designcenter NX Adaptor directly into active simulation loops without resetting parameters. 100% data provenance & structure integrity: Automated Teamcenter managed PLMXML + Designcenter NX Adaptor pipeline flow replaces traditional neutral file exports that cause history and hierarchy loss. Lightweight models & fast file load ins: Smart object instancing coupled with metadata transfer addresses challenges of unmanaged component duplications in large assemblies. In an era where simulation-driven engineering is essential for product innovation, the geometry preprocessor has become a strategic enabler rather than just a preprocessing tool. By bridging the gap between CAD and CAE, Simcenter STAR-CCM+ geometry preprocessor helps engineers spend less time preparing geometry and more time generating insights that drive better products. If your company is looking to reduce geometry preparation time and accelerate the transition from CAD to simulation, schedule a meeting with CAEXPERTS to learn how the Simcenter STAR-CCM+ geometry pre-processor can optimize this workflow. We conduct initial projects in collaboration with your team to maximize return on investment, helping your company extract peak performance from the tool and achieve faster, more accurate, and reliable results in your projects. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

Designing high-performance antennas requires more than accurately predicting electromagnetic behavior. Engineers also need to explore design alternatives efficiently and understand the trade-offs between different performance objectives. By combining the electromagnetic simulation capabilities of Simcenter Feko with the automated design exploration capabilities of Simcenter HEEDS, engineers can move efficiently from simulation to optimized antenna designs. From antenna simulation to design optimization Antenna performance depends on numerous interdependent parameters, such as geometric dimensions, substrate properties, feed position and ground plane size. Simcenter Feko enables engineers to model these effects and evaluate antenna performance across different design variants using numerical electromagnetic simulation. As the number of design variables and performance objectives increases, however, manually exploring these variants becomes increasingly challenging. Connecting Simcenter Feko with Simcenter HEEDS introduces automated optimization capabilities, including single- and multi-objective optimization, robustness analysis and reliability optimization, surrogate model creation, and workflow automation. In this blog, we demonstrate this approach through the shape optimization of a dielectric lens placed on top of a horn antenna. The simulation uses a hybrid method of moments (MoM) and finite element method (FEM) solver in Simcenter Feko at 3.05 GHz. The FEM region represents the waveguide, including an anisotropic circulator, while MoM is used for the metallic horn. The dielectric lens is modeled using the surface equivalence principle (SEP). The objective is to optimize the lens shape to maximize antenna gain while making the gain pattern as rotationally symmetric as possible. Figure 1. Simcenter Feko model of the horn antenna and dielectric lens with the corresponding computational regions Parametrizing the antenna model for design optimization To enable efficient design exploration, the lens geometry is parametrized using the NURBS tool in the CADFEKO module in Simcenter Feko. One octant of the lens is represented by a rational biquadratic Bézier surface defined by nine control points and nine weights. The complete lens is then constructed by cutting the surface along the z=0 plane and mirroring it with respect to the symmetry planes x=0, y=0 and z=0. The control points of the Bézier surfaces have a geometrical meaning, making it straightforward to control G0 – and G1 - continuity along the patch connections. The resulting lens parametrization forms an 11-dimensional design space. Video 1. Parameterized modeling of the dielectric lens in Simcenter Feko CADFEKO Four goal functions are defined to evaluate antenna performance throughout the optimization. Goal 1 represents the antenna gain in the boresight direction, while goals 2 and 3 describe the side lobe levels (SLL) in the E- and H-planes. Goal 4 represents the minimum gain along the θ=15° isocurve. Maximizing goal 4 helps produce an almost rotationally symmetric gain pattern. With the parametrized model and goal functions defined, the electromagnetic simulation is performed in Simcenter Feko to calculate the antenna responses and generate the relevant plots in the POSTFEKO module. Connecting Simcenter Feko with Simcenter HEEDS With the parametrized Feko model and simulation setup in place, the next step is to connect the workflow to Simcenter HEEDS. The Feko portal in HEEDS is configured by pointing it to the Simcenter Feko installation directories. The electromagnetic simulation workflow can then be defined in three main steps: opening the parametrized model in CADFEKO, running the Feko solver to compute the responses, and visualizing the results in POSTFEKO. The resulting data is passed to Simcenter HEEDS, which determines the next set of design variables according to the selected analysis approach and automatically repeats the electromagnetic simulation workflow in Simcenter Feko. Both 3D and 2D visualizations from POSTFEKO are also available in HEEDS, allowing engineers to monitor the design and its corresponding performance throughout the optimization. Video 2. Connecting the Simcenter Feko simulation workflow with Simcenter HEEDS Exploring and optimizing antenna designs with SHERPA Once the Simcenter Feko simulation workflow is connected to Simcenter HEEDS, the design space can be systematically explored and optimized. Simcenter HEEDS offers several approaches for design exploration and optimization, with SHERPA as its main optimization strategy. SHERPA stands for Simultaneous Hybrid Exploration that is Robust, Progressive, and Adaptive. Rather than relying on a single optimization method, SHERPA simultaneously employs multiple search strategies and adaptively allocates computational effort to the methods performing best as the study progresses. This reduces the need for engineers to select a specific optimization algorithm in advance, making SHERPA particularly well suited for high-fidelity, simulation-driven design optimization where every evaluation counts. In this example, a multi-objective optimization study is defined in Simcenter HEEDS to explore more than 150 antenna designs. Rather than producing a single optimal design, the study identifies a set of Pareto-optimal solutions representing different trade-offs between the defined performance goals. Video 3. Exploring the antenna design space with SHERPA in Simcenter HEEDS Evaluating Pareto-optimal antenna designs Once the SHERPA optimization is complete, the Pareto-optimal solutions can be analyzed using the postprocessing capabilities in Simcenter HEEDS. The Trade-offs tool under the Discover ribbon provides a visual representation of these solutions, helping engineers compare performance trade-offs and select an appropriate antenna design. In this example, design 148 provides a good balance between the optimization goals, improving antenna gain by 22% and the roundness KPI by 59%. Video 4. Evaluating Pareto-optimal antenna designs in Simcenter HEEDS Conclusion Combining Simcenter Feko with Simcenter HEEDS enables engineers to systematically explore a broader antenna design space while maintaining high-fidelity electromagnetic simulation at the core of the process. Automating the repeated simulation and evaluation of design variants can help reduce design time and identify promising solutions while supporting informed trade-offs between competing performance goals. While this example focuses on antenna design, the same approach can be extended to other electromagnetic applications, including the optimization of EMC behavior and radar cross section (RCS). Do you want to streamline antenna development and more efficiently explore different design alternatives? Schedule a meeting with CAEXPERTS to discover how Simcenter Feko and Simcenter HEEDS can support your projects through electromagnetic simulation and automated optimization. We conduct initial projects in collaboration with your team to maximize return on investment, helping your company extract peak performance from the tools and achieve faster, more accurate, and reliable results. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

The rise of legged robotics Just a few years ago, robot dogs seemed like futuristic demonstrations. Today, they are becoming valuable industrial assets. Energy operators use them to inspect substations and offshore facilities. Mining companies evaluate them for operations in hazardous environments. Legged robots are becoming essential technology for surveillance and autonomous operations. At the same time, other types of leg-based robots like insect-inspired robots are opening entirely new possibilities. Thanks to their exceptional stability and ability to navigate confined or irregular environments, hexapod robots are emerging as promising solutions for inspection and exploration applications. Behind every successful robot lies a complex combination of mechanical design, actuation systems, controls, software, sensors, power management and AI. As competition intensifies and development cycles shorten, robotics companies can no longer rely solely on physical prototyping. System Simulation digital twins with multiphysics and controls to get mechatronics robots This is where Simcenter Amesim provides a decisive advantage. Through multi-domain system simulation, engineering teams can evaluate, optimize and validate robot architectures before building hardware. Why System Simulation is key Customers purchasing robotic platforms expect more than a machine that can walk. They expect a robot that can operate reliably, safely and efficiently in real-world environments. To achieve this, developers must answer critical questions early: Will the robot remain stable on uneven terrain? How much payload can it carry? How long will the battery last? Which actuator technology is optimal? How will the control system respond to disturbances? Can autonomy algorithms handle unexpected obstacles? System Simulation enables engineers to answer these questions virtually. The runs are executed in few seconds of CPU-time, not hours. Users can access all variables for the computed results like the forces, torques, velocities, accelerations, temperatures, currents, voltages, pressures or any types of results they want to predict thanks to the digital twins. It’s not just animations with imposed displacements, but real physical quantities computed directly from dynamic equations for all types of physics: mechanics, electrics, hydraulics, pneumatics, thermal, controls, … Simcenter Systems solutions offer real computation from solving dynamic equations in few seconds of CPU-time, this is not just animation Using Simcenter Amesim, teams can combine mechanical dynamics, hydraulic systems, electric powertrains, controls and energy management into a single digital model. Problems can be identified before costly hardware iterations are required. The result is faster innovation, lower development risk and higher-performing robotic platforms. From hydraulic quadrupeds to electric ant robots Let’s see how Simcenter Amesim is accelerating legged robotics development with system simulation. Actually it’s just a matter of learning from Nature’s most successful walkers. Nature has already solved many mobility challenges. Modern robotics increasingly borrows these solutions. The two Simcenter Amesim digital twins that we introduce hereafter show complementary robot architectures: a four-legged articulated robot driven by hydraulic actuators and servo-valves, and a six-legged ant-inspired robot driven by electric motors. Together, they illustrate how system simulation can support the development of advanced mobility systems before physical prototypes are built. Complementary architectures with 4-leg robot with hydraulic actuators and 6-leg robot with electric motors Let’s start first with the robot dogs and quadruped platforms. This Simcenter Amesim quadruped digital twin showcases how four-legged robots achieve a balance between speed, agility, mobility and stability. Its articulated legs, hydraulic actuation system and advanced gait control strategies enable: Stair climbing Obstacle crossing Navigation of rough terrain Stable payload transportation 4-legged robot with hydraulic actuators – Digital twin and performances The model demonstrates both trotting and walking gaits, highlighting the importance of coordination between leg pairs and body stability. For industrial customers, this capability translates into robots capable of reaching locations inaccessible to wheeled systems. Let’s now move to the second example of mechanical ants and hexapod robots. This digital twin of the six-legged mechanical ant demonstrates a different philosophy. Using a tripod gait, three legs always remain in contact with the ground while the other three advance. 6-legged robot with electric motors – Three legs always remain in contact with the ground This approach delivers high static stability, excellent terrain adaptation, reduced risk of overturning and reliable motion in confined spaces. 6-legged robot with electric motors – Digital twin and performances Therefore, there are many possible applications like inspection inside industrial facilities, pipelines, tunnels, underground infrastructure and remote exploration environments. That’s impressive, isn’t it? Gimbal systems for advanced observation Let’s now go a bit further in the analysis by adding some auxiliary systems that are more present in legged robots. Indeed, modern quadruped robots are increasingly becoming mobile sensing platforms rather than simply walking machines. One emerging trend is the integration of stabilized multi-axis gimbal systems mounted on top of the robot. These intelligent payloads can carry optical, thermal, LiDAR or multi-sensor packages while maintaining a stable line of sight even as the robot traverses uneven terrain. Quadruped robot with a gimbal system attached to its head, walking on a predefined trajectory, to continuously observe a moving object This is actually a six-degree-of-freedom (6 DoF) challenge. Theoretically speaking, we could imagine it’s not so easy to solve, while it’s finally quite straight forward to get impressive results in the Simcenter Amesim environment. Indeed, all subsystems and all physics can be combined in few clicks, while the intelligent solver computes all equations instantaneously, from slow dynamics to very fast transients or high-frequency phenomena. Such a successful approach can be conducted while including all detailed physics inside, from mechanical frictions, to hysteresis, gaps, leakages, … The quadruped robot constantly experiences body motion caused by locomotion, terrain irregularities, acceleration and turning maneuvers. At the same time, the onboard sensor payload needs to continuously track and observe a moving point of interest within a dynamic environment. The challenge here is to ensure that the sensor payload remains accurately pointed while the robot itself is in motion. Developing such an integrated system requires understanding the interaction between mobility, sensing and controls. Simulation helps identify whether performance limitations originate from the robot platform, the gimbal mechanics, the control strategy or the sensor architecture. Virtual validation of tracking performance A digital twin enables engineers to assess thousands of tracking scenarios before hardware testing begins. Possible scenarios include: Observation of moving objects at varying speeds Rapid changes in direction or elevation Operations on rough terrain Vibrations induced by trotting or walking gaits Temporary loss of line of sight Hundreds of virtual scenarios are investigated with virtual validation By combining robot dynamics, gimbal mechanics and control algorithms within a single simulation environment, teams can evaluate the overall mission effectiveness rather than optimizing individual components in isolation. The strategic advantage of simulation-driven robotics As industrial companies expand their use of autonomous systems, expectations for reliability, autonomy and efficiency continue to rise. Organizations developing robot dogs, hexapods and future generations of autonomous inspection robots need engineering tools capable of managing this growing complexity. By validating performance virtually before hardware deployment, robotics companies can reduce development risk, accelerate innovation cycles and bring more capable robotic platforms to market faster. We can for example consider developing the advanced controls for two-legged robots standing up (let’s say it’s a “chicken” robot), whose challenge is to ensure the right balancing while the actuation effects and body dynamics impact its motion depending on its speed (slow or fast motion). That’s a matter of finding out the right control logics to ensure its equilibrium at all times. And counter-intuitively, we found that the highest speeds were easier to manage compared to slow motions, since the balance momentum is reduced. Two-legged robot: a bipedal chicken robot running With Simcenter Amesim, engineering teams can evaluate its locomotion, actuation, energy systems, controls, autonomy and AI workflows within a single simulation environment. You can even connect joysticks to pilot it remotely thanks to the dynamic live simulation capabilities of the Dashboard with controller inputs in Simcenter Amesim. Even to the point of designing robot reindeers Let’s go further with some more fun. Let’s pull Santa Claus’ sleigh with some robot reindeers, it’s faster and cheaper than real reindeers. To improve productivity and delivery task planning (it’s key to deliver thousands of gifts on time), Santa Claus converted his moose and reindeers into their robotized versions. It’s finally more efficient, you just program the path to follow and the robot reindeers self-drive the sleigh to the selected GPS location to deliver the gifts to the right locations. Santa Claus celebrates Christmas with robot reindeers in Simcenter Amesim thanks to its 3D Mechanical library for multibody simulation Boston Dynamics celebrates Christmas by getting robot reindeers to pull Santa’s sleigh Takeaways – Experience so many benefits using system simulation It’s now time to conclude and summarize the benefits of using System Simulation when designing legged robots. Simcenter Amesim enables engineers to evaluate complete robotic systems through multi-domain system simulation, helping teams optimize locomotion, actuation, power systems, control software, and AI-enabled autonomy before physical prototypes are built. From robot dogs inspecting industrial facilities to insect-inspired robots exploring confined spaces, legged robotics is transforming how industries operate. However, achieving the right balance between mobility, autonomy, energy efficiency, intelligence, and reliability requires a comprehensive engineering approach. By adopting model-based engineering and digital twin methodologies, organizations can accelerate innovation, reduce development risk and bring more capable robotic platforms to market faster. The future of quadruped and multi-legged robotics will be built not only in hardware laboratories, but first in the virtual world through advanced system simulation. To leverage the potential of system simulation in the development of legged robots—and to accelerate the validation of locomotion, actuation, controls, and energy management—schedule a conversation with CAEXPERTS. Our team can support the implementation and application of Simcenter Amesim, collaborating with your team on initial projects to maximize return on investment and help your company extract peak performance from the tool, achieving faster, more accurate, and more reliable results. WhatsApp: +55 (48) 98814-4798 E-mail: contato@caexperts.com.br

522 / 5.000 Resultados de tradução Resultado da tradução CAEXPERTS brings together an experienced and multidisciplinary team of CAE experts to deliver advanced engineering at different scales and levels of complexity. human capital; high performance; ROI; solving industrial challenges through digitalization and engineering expertise. Why CAEXPERTS CAEXPERTS brings together an experienced and multidisciplinary team of CAE experts, prepared to deliver advanced engineering at different scales and levels of complexity . In addition to human capital, we use high performance hardware and software resources that are scalable in the cloud, allowing the delivery of high added value solutions specific to the technological challenges of our customers, at the speed that the industry demands , adapting special care to projects with return on investment . Discover our Services Our Mission CAEXPERTS is a company focused on solving industrial challenges through digitalization and engineering knowledge . We work with the implementation of technology for the design and simulation of products and processes, in addition to specialized consultancy in order to provide the solution for: increasing competitiveness; innovation in the development of products and processes; solutions to complex problems; development of projects for the industry – differentiating itself in the market by performing cutting-edge engineering, presenting assertive solutions, and high return on investment. Core Values Responsibility Organization Honesty Continuous Growth Quality Innovation

Simcenter 3D software for structural simulation offers a set of structural finite element (FE) solvers. Simcenter Nastran; innovative structures; synchronous technology; static or dynamic, linear or non-linear, composite or otherwise. multidisciplinary simulations; Simcenter 3D Structural Simulation Simcenter™ 3D software for structural simulation offers a set of structural finite element (FE) solvers that form part of the Simcenter portfolio of simulation tools. They are used by engineers across all industries as part of their product development process to assess the structural performance of their systems. Integrating the Simcenter Nastran solver , Simcenter 3D structural solutions offer scalable, open, and extensible capabilities for general and advanced analysts. They can be used on laptops, workstations and servers to tackle everything from small models to the largest high-end industrial models. Simcenter Nastran is available with enterprise licensing, which means it can be used independently of Simcenter pre/post solutions and can run on both Windows and Linux operating systems. Benefits of the solution Reduce risk using simulation to save time and cost Accelerate innovation with rapid iterations Investigate product performance under virtually operational conditions Co-simulação com Simcenter Nastran Uma plataforma para simulação multidisciplinar Reduce risks and costs while developing innovative frameworks Investigate product performance under virtually all possible operating conditions, including thermally influenced operating conditions Get more accurate solution results than linear analysis when default linear assumptions are invalid Increase confidence in final designs by virtually investigating your product's performance under all possible operating conditions Simcenter 3D software addresses the engineering of complex products, offering significant improvements in simulation efficiency. With advanced capability 3D simulation technologies and powerful model preparation technology, Simcenter 3D offers new methods that increase realism and provide better insight. Synchronous technology in Simcenter 3D helps reduce the time spent abstracting the model and editing geometry. Meshes, loads, and boundary conditions are all associated with the basic design, so when your design topology changes, you can quickly update your simulation results. Solvers and analysis tools provide all the accuracy and speed you need for timely, simulation-driven insights. Simcenter 3D includes solvers that let you dive deep into physics. Every application specialist will find cutting-edge technology that fits the problem – static or dynamic, linear or non-linear, composite or otherwise, including temperature-dependent materials and thermal loads acting on a structure. In addition to structural solutions, Simcenter Nastran also allows the co-simulation of structural, thermal and flow physics. A dedicated multiphysics environment allows you to define the complete solution in a single model, making co-simulation easily accessible to a wide range of users. The Simcenter 3D structural simulation solution is part of a larger multidisciplinary simulation environment and is integrated with Simcenter 3D Engineering Desktop at the core for centralized pre/post processing for all Simcenter 3D solutions. This integrated environment helps you achieve faster CAE processes and streamline multidisciplinary simulations that integrate structural simulation with other disciplines such as thermal simulation, fluid dynamics, multibody dynamics, or electromagnetic simulation. Industry applications Simcenter Nastran helps engineering manufacturers and vendors across many industries with their critical engineering computing needs so they can produce safe, reliable and optimized designs in ever-shorter design cycles. Fuselage - Aerospace and defense - Air engines Automotive - Land Vehicles Marine Electronics Consumer goods Airplane frame – Rigidity, frame durability, modal frequency Wings – Rigidity, skin buckling, modal frequency Airplane hatch - Seals, structural strength Airplane pylons, ailerons , stabilizers – Rigidity, strength Satellite – Heat stress and distortion, composites, modal frequency Launch Vehicles – Thermal Stress, Maneuvering Loads, Payload Racket Loads Launch structures – Wind loads, launch loads Aerodynamic Engine Fans – Rotating Loads, Distortion, Compounds Air Engine Compressor - Rotating Loads, Stress and Thermal Distortion, Life, Bolt Stresses, Cyclic Symmetry, Shaft Symmetry Aircraft Engine Turbines - Rotating loads, thermal stress and distortion, life, creep, cyclic symmetry, shaft symmetry, failure modeling Aircraft Engine Frame – Rolling loads, switching loads Sectors Body – Roof crush, panel strength, rigidity, frame durability Power Train/Driveline – Torque Loads, Thermal Stress and Distortion Chassis - Hardness loads, suspension deflections Off-road vehicles – Strength, durability, Rollover Protective Structures (ROPs), stability Fabrication tools – Thermal stress and distortion, modal frequency, bolted stresses Support structures - Stability, stress Full Ships – Rigidity, deformation, strength Hooves - Breaking of the skin Bulkheads - Structural strength Portable equipment – Drop simulation, plastic component stress Printed Circuit Boards (PCB) – Thermal stress and distortion, solder joint strength Electronic boxes - Bracket resistance, modal frequency Packaging – Resistance, stability, hyperelasticity, fluency Modules Simcenter 3D Structures software is a unified, scalable, open, and extensible 3D computer-aided engineering (CAE) environment for simulation analysts. Simcenter 3D Structures is a package that combines Simcenter 3D Engineering Desktop, Simcenter Nastran environment and Simcenter Nastran Basic solver . Together, Simcenter 3D Structures provides best-in-class simulation modeling with the power to perform basic structural analysis with an industry-standard solver . The Simcenter 3D Engineering Desktop contained within Simcenter 3D Structures accelerates the simulation process, helping you efficiently build the simulation model you need from 3D geometry faster than traditional CAE preprocessors. THEThe Simcenter Nastran solver built into Simcenter 3D Structures allows you to seamlessly submit analysis models for static linear analysis, normal modes, buckling, and basic heat transfer. Simcenter 3D Structures also forms the foundation on which you can add additional solutions for dynamic structural, multi-step nonlinear, thermal, flow, acoustic, motion, optimization, and multiphysics analyses, all in a single environment. Simcenter Nastran enables you to initiate digital simulation into your product development process, providing access to a large library of finite element types and material models, robustly handling load cases, and providing multiple sequences of efficient solutions for analysis. in models of unlimited size. You can also perform sensitivity studies based on these types of analysis. Simcenter Nastran base license comes with a complete base set of structural features as an entry point to Simcenter Nastran. It also comes with a basic heat transfer solver and the resulting temperatures can be used as loads in a structural solution. Simcenter Nastran Multistep Nonlinear is an advanced solution that provides comprehensive capabilities for geometric nonlinear, contact, plasticity, creep, hyperelasticity, and other material behaviors. The multi-step solution allows users to configure sequential subcases for preload, nonlinear static, nonlinear transient, modal, buckling, postbuckling, and harmonic modes. This is an add-on product to a base license that offers two non-linear solution options: Simcenter Nastran SOL 401 and SOL 402 solution. Both are suitable for a wide variety of non-linear problems, but each also has unique capabilities. S imcenter Nastran DMP is a complementary module to Simcenter Nastran Basic. It allows parallel processing using distributed memory. It is an efficient approach to solving large models and can be used on multiprocessor workstations using Windows. DMP solutions are available for static solutions (SOL 101), eigenvalue modal solutions (SOL 103), dynamic response modal solutions (SOL 111 and 112), direct frequency solutions (SOL 108) and non-linear solutions (SOL 401 and SOL 402). DMP can also be used in combination with SMP, which comes as part of Simcenter Nastran Basic. Module benefits: Accelerate simulation processes by up to 70 percent Perform accurate and reliable structural analysis with built-in Simcenter Nastran Basic solver Increase product quality by quickly simulating design compensation studies Reduce overall product development costs by reducing costly and late design change orders Efficiently manage large and complex analysis models Capture and automate commonly used best practices and processes Easily add multidisciplinary simulation capabilities as your analysis needs grow Main features: Complete software package with Simcenter 3D Engineering Desktop for pre/post along with Simcenter Nastran Basic for structural analysis NX is a leading geometry kernel that is used as part of Simcenter 3D to provide fast geometry editing and abstraction Comprehensive mesh tools combined with efficient FE assembly management Immerses engineers in the Simcenter Nastran environment using familiar terminology and broad support of product-specific elements and entities Simulate structural analysis for linear statics, normal modes, buckling and heat transfer using the reliable Simcenter Nastran solver Module benefits: Reduce risk by using simulation to save time and cost compared to physical test cycles Accelerate innovation with rapid iteration and multiple what-if studies Investigate product performance under virtually all possible operating conditions, including thermally influenced operating conditions Main features: Linear statics, normal modes, buckling Project sensitivity Basic non-linear composites Shared memory parallel processing (SMP) I n addition to the basic feature set, users can add more advanced structural features, including: Non-linear multistep (static, transient) Distributed memory parallel processing (DMP) Linear dynamics (transient, frequency, random) Rotor dynamics Design and topology optimization Aeroelastic Vibroacoustic Module benefits: Use the same models already built and analyzed linearly with Simcenter Nastran Basic Increase confidence in final designs by virtually investigating your product's performance under all possible operating conditions Get more accurate solution results than linear analysis when default linear assumptions are not valid Main features: Static/dynamic analysis of models, including material and geometric nonlinear behaviors Multi-step solver allowing the following types of analysis in different steps: static, dynamic, preload, modal, buckling, cyclic symmetry, Fourier harmonic modes Non-linear material: hyperelasticity models (Mooney-Rivlin, Ogden, hyperfoam, Mullins effect, damping with Prony series), elastoplastic (Von Mises yield criterion, isotropic stiffening, kinematic stiffening, mixed stiffening), thermal elastoplastic, creep, creep combined and elastoplastic Nonlinear geometric: large strains, large strain, snap-through (post-buckling) analysis, follower forces Contact: shell and solid element face contact, edge contact for axisymmetric modeling, one- and two-sided contact, self-contact, various friction models, bound contact, contact surface offsets, clearance elements, contact on/off by subbox, contact pressures and force results, contact separation and slip results Module benefits: More cores provide faster solutions Allows solving large models that are not possible to solve in a single central processing unit (CPU) ___________________________________________________________________________ Simcenter Nastran ___________________________________________________________________________ Simcenter Nastran Multistep Nonlinear ___________________________________________________________________________ Simcenter Nastran DMP ___________________________________________________________________________ Simcenter 3D Structures ⇐ Back to Simcenter

The high degree of automation of SIEMENS DIGITAL INDUSTRIES tools ensures that, even while the engineering team rests, your company continues to generate value, products and innovative solutions. Structural, thermal, acoustic, electrical design and whatever else is needed. HEEDS; Topological CAD and CAE. Project Optimization In optimization, one can look for values minimizing/maximizing a mathematical function through the systematic choice of values that allows the comparison between different configurations and a detailed study of the models in different physics. Contact an Expert Keep designing, even after shifts Structural, thermal, acoustic, electrical design and whatever else is needed The high degree of automation of SIEMENS DIGITAL INDUSTRIES tools ensures that, even while the engineering team rests, your company continues to generate value, products and innovative solutions. This feature ensures that the engineering team can dedicate their time to the innovation and product development processes, while the software takes care of testing the solutions, delivering the best possible option. Optimization software from Siemens Digital Industries has the ability to deal with different physics together, integrating calculation routines already validated by companies with the most popular CAE applications on the market . This allows the complete integration of the entire production and design cycle, integrating the engineering areas, making it possible to optimize products and projects with a focus on reducing raw material costs, production time, efficiency and product robustness. All this in the same software , in an integrated and automated way. HEEDS Software specialized in optimization, capable of evaluating data from different sources in search of the best design alternatives using CAD/CAE parameters. ⇐ Voltar para Serviços