Innoslate
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 CFD
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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AVEVA PRO/II Simulation
AVEVA PRO/II™ Simulation serves as a steady-state simulator that enhances plant efficiency by refining process design, conducting operational analyses, and executing engineering studies. By offering a comprehensive approach to optimization, AVEVA PRO/II Simulation focuses on enhancing plant performance through the improvement of process design and operational analysis while also conducting in-depth engineering studies. Capable of performing complex heat and material balance calculations for an extensive array of chemical processes, this simulation tool presents a diverse selection of thermodynamic models applicable across multiple industries. It allows users to devise new processes and assess alternative plant configurations to achieve the most economical operations. Now accessible via the cloud, AVEVA PRO/II Simulation provides on-demand availability, straightforward maintenance, and adaptable usage options. Additionally, users can benefit from a highly experienced support team with over 15 years in the field, ensuring assistance whenever needed. Overall, AVEVA PRO/II Simulation stands out as a robust solution for optimizing plant performance, streamlining design processes, and enhancing operational efficiency.
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