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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XPS (eXtended Particle Simulations)
XPS, short for eXtended Particle Simulations, represents an advanced Discrete Element Method simulation tool crafted by RCPE and made available worldwide by InSilicoTrials, specifically tailored for high-precision particle-based process simulations. This software is particularly focused on the pharmaceutical sector, enabling accurate forecasting of powder and granular material behavior, which aids teams in gaining insights, enhancing predictions, and managing pharmaceutical unit operations more effectively. Utilizing sophisticated contact models, XPS characterizes the flow dynamics of granular materials and employs highly parallel algorithms that are fine-tuned for contemporary GPUs, thereby expediting simulations involving as many as 100 million particles. By providing unparalleled detail in process configuration assessments, XPS empowers pharmaceutical engineers to navigate decision-making spaces virtually, significantly curtail the need for expensive and lengthy physical experiments, and bolster data-driven approaches to process development. As a result, this innovative software not only streamlines operations but also fosters a deeper understanding of material behaviors within pharmaceutical manufacturing environments.
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Yade
Yade is a versatile and open-source framework aimed at discrete numerical modeling, particularly utilizing the Discrete Element Method. The core computational components are developed in C++, leveraging a flexible object model that facilitates the standalone implementation of new algorithms and interfaces. Meanwhile, Python serves as the language for quick and efficient construction of scenes, control of simulations, postprocessing tasks, and debugging processes. This framework is particularly suited for researchers and engineers who require the ability to create, execute, analyze, adjust, and expand particle-based simulations through scripts, interactive commands, graphical interfaces, and reusable simulation elements. Users can construct simulations using specialized generators or directly through Python scripts, offering considerable freedom in developing custom models, importing geometries, reusing code, and managing the entire simulation loop. Each simulation is represented as a scene that encompasses bodies, interactions, and the forces resulting from them, with the bodies characterized by their geometry, material properties, and state variables. Additionally, Yade's architecture promotes collaboration and sharing of advancements within the research community, enabling continuous improvement of simulation techniques.
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