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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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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Availability Workbench
Robust simulation software designed to enhance asset performance is available, offering features such as maintenance and spare parts optimization, availability assessments, reliability-centered maintenance strategies, life cycle cost analyses, and accelerated life testing, all within a single cohesive platform. This software seamlessly integrates with your SAP or MAXIMO systems for comprehensive data analysis. It allows for the identification of critical machinery and the automatic generation of failure models through Weibull analysis. By leveraging simulation, you can refine your maintenance strategies and cut expenses. Additionally, the tool predicts system availability while optimizing design processes. It also facilitates the simulation of capacity for multiple products, incorporating target cost penalties. You can model interdependencies within systems using reliability block diagrams (RBDs) or fault trees. Operational rules can be embedded to ensure accurate performance simulations. Furthermore, it helps in determining the optimal spare parts inventory strategy. Life cycle costs can be predicted, and the ALT module allows for the analysis of test data related to stressed failures. Lastly, the software enables the identification of performance trends within the process reliability module, providing valuable insights for continuous improvement.
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Simulation Modeling
Simulation modeling, often referred to as predictive modeling, serves as a powerful mechanism for constructing experimental computer models that replicate an existing system with high fidelity. These models may incorporate an AutoCAD design and are enhanced through animations, ensuring that the simulation accurately reflects the operations of the actual system. Moreover, the model can emulate real-life schedules for patients or products, allowing for performance assessments that can be compared to the actual system if it is available. Once the simulation model is developed, it enables the execution of comprehensive experiments on the computer representation, allowing for optimization of performance without interfering with the real-world operations. Additionally, simulation plays a critical role in the creation of entirely new systems from the ground up, starting from basic concepts to meticulously design the ideal facility, hospital, or clinic tailored to the needs of your organization. Furthermore, it can be leveraged as a valuable tool for enhancing existing systems that may not be performing up to expectations, thus driving improvements and efficiencies in their operations. This multifaceted approach to simulation not only aids in crafting new designs but also ensures continuous development and refinement of established systems.
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