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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OPTIMICA Compiler Toolkit
Modelon’s OPTIMICA Compiler Toolkit stands out as the market's leading Modelica-based mathematical engine, providing users with a robust solution for automating, simulating, and optimizing system behaviors across the model-based design cycle. As the trusted compiler for Modelon Impact, OPTIMICA allows users to construct multi-domain physical systems by selecting from a vast library of model components. The toolkit’s cutting-edge solvers facilitate the evaluation of intricate physical systems, accommodating both transient simulations and steady-state calculations, as well as dynamic optimization. With its advanced mathematical capabilities, OPTIMICA can effectively manipulate and streamline models to enhance performance and reliability, catering to diverse industries and applications that range from automotive and active safety to energy and power generation optimization. Given the growing demand for effective power regulation in the contemporary energy landscape, optimizing the startup processes of thermal power plants has become a critical industrial requirement. Furthermore, the flexibility and efficiency of OPTIMICA make it an invaluable asset for engineers tackling complex system challenges.
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Ansys Maxwell
Ansys Maxwell serves as a powerful electromagnetic field solver tailored for electric machines, transformers, wireless charging systems, permanent magnet latches, actuators, and various electromechanical devices. It adeptly addresses the challenges of static, frequency-domain, and time-varying electric and magnetic fields. Additionally, Maxwell comes equipped with specialized design interfaces specifically for electric machines and power converters. With the capabilities of Maxwell, users can accurately analyze the nonlinear and transient behaviors of electromechanical components, as well as their impact on drive circuits and control system designs. By utilizing Maxwell’s state-of-the-art electromagnetic field solvers in conjunction with integrated circuit and systems simulation technologies, engineers can gain insights into the performance of electromechanical systems well before any physical prototypes are created. Moreover, Maxwell is recognized for delivering reliable simulations of low-frequency electromagnetic fields pertinent to industrial components, making it a valuable tool in the design and analysis process. This comprehensive approach not only enhances design efficiency but also aids in minimizing potential issues during the development stage.
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