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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SoftCAST
SoftCAST™ is a highly acclaimed software solution designed for metal casting simulations, catering specifically to foundries and investment-casting operations. This innovative tool enables engineers to visualize and analyze the casting process, effectively allowing for the identification of possible defects and quality concerns before physical production begins. With its user-friendly design modules, SoftCAST™ streamlines the creation of new products and processes while also offering avenues for enhancing existing ones. It is adaptable for various production methods, including mass production, batch production, and jobbing lines, making it versatile for different manufacturing needs. The software excels at simulating a wide range of casting challenges, accommodating both simple and complex mold designs, as well as varying weights and thicknesses of castings. A key advantage of SoftCAST™ over rival products is its integration of method design modules alongside its simulation capabilities, providing users with a comprehensive tool for optimizing their casting operations. This unique combination not only enhances efficiency but also empowers engineers to elevate the overall quality of their cast parts.
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MAGMASOFT
MAGMASOFT® serves as a powerful optimization tool designed to enhance the quality of metal casting, streamline process conditions, and minimize production expenses. By leveraging the principles of virtual Design of Experiments and Autonomous Optimization, it facilitates the establishment of robust process parameters and optimized casting configurations applicable to all types of cast materials and processes, which include heat treatment and melt metallurgy. This dual efficiency ensures comprehensive results in a single platform. Through the application of autonomous engineering™, MAGMASOFT® allows for the implementation of automated virtual test plans aimed at achieving various quality and cost goals simultaneously. The system generates extensive knowledge and practical guidance tailored to the specific design and process conditions pertaining to mold filling, solidification, and cooling. Additionally, the outcomes encompass critical aspects such as residual stresses, distortion, microstructural development, and localized material properties, providing a thorough understanding of the casting process. Ultimately, MAGMASOFT® transforms the optimization landscape by combining advanced simulations with actionable insights for manufacturers.
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