SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
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NVIDIA Modulus
NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.
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Simcenter Motionsolve
Simcenter MotionSolve provides engineers with the tools to accurately forecast the dynamic performance of intricate mechanical systems through multibody dynamics simulation. By facilitating early assessment of mechanisms and accounting for real-world factors like contact interactions and material flexibility, it minimizes the need for extensive physical testing. Engineers can effectively mechanize CAD models to analyze the operational dynamics of various mechanisms, explore design alternatives, and determine the appropriate fidelity level for predicting loads essential for subsequent finite element analyses, including evaluations of strength and fatigue. The platform offers comprehensive multibody dynamics simulations that calculate critical parameters such as motion, forces, accelerations, and reactions, enabling engineers to comprehend mechanism performance under realistic operating scenarios. Furthermore, Simcenter MotionSolve accommodates flexible bodies, integrating elastic deformation with rigid-body motion to ensure that factors such as stiffness and compliance are accurately represented, which is crucial when these elements significantly affect the overall performance of the system. This robust capability allows for more precise design optimization and enhances engineers’ understanding of complex interactions within mechanical systems.
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