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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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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Simulink
Develop and test your system using Simulink prior to implementing it on actual hardware. This allows you to explore and apply innovative designs that might typically be overlooked, all without the need to engage in C, C++, or HDL programming. By modeling both the system you are testing and the physical plant, you can investigate a broader design landscape. Your entire team can benefit from a unified multi-domain platform that simulates the interactions of all system components. You can also package and share your simulation results with team members, suppliers, and clients for collaborative feedback. This approach helps minimize costly prototypes by allowing you to experiment with scenarios that might otherwise be deemed too risky or impractical. Use hardware-in-the-loop testing and rapid prototyping to confirm your design's effectiveness. With this method, you can ensure traceability throughout the process, from requirements gathering to design and code development. Rather than manually crafting thousands of lines of code, you can automatically generate high-quality C and HDL code that mirrors your original Simulink model. Finally, deploy this code directly onto your embedded processor or FPGA/ASIC for seamless integration and operation. This comprehensive approach not only streamlines development but also enhances overall project efficiency.
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RoSi
RoSi serves as a comprehensive digital twin simulation platform that streamlines the creation, training, and evaluation of robotic and automation frameworks, employing both Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations to produce synthetic datasets. This platform is suitable for both traditional and AI-enhanced technologies and is available as a SaaS or on-premise software solution. Among its standout features are its ability to support various robots and systems, deliver realistic real-time simulations, provide exceptional performance with cloud scalability, adhere to open and interoperable standards (ROS 2, O3DE), and integrate AI for synthetic data generation and embodied AI applications. Specifically tailored for the mining sector, RoSi for Mining addresses the requirements of contemporary mining operations, utilized by mining firms, technology providers, and OEMs within the industry. By leveraging cutting-edge digital twin simulation technologies and a flexible architecture, RoSi enables the efficient development, validation, and testing of mining systems with unparalleled precision and effectiveness. Additionally, its robust capabilities foster innovation and operational excellence among users in the dynamic landscape of mining.
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