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.
Learn more
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.
Learn more
Ansys Motor-CAD
Ansys Motor-CAD serves as a specialized tool for the design of electric machines, facilitating rapid multiphysics simulations throughout the entire torque-speed operating range. It allows design engineers to assess various motor configurations and concepts to create designs that maximize performance, efficiency, and compactness. With its four integrated modules—EMag, Therm, Lab, and Mech—Motor-CAD enables quick and iterative multiphysics calculations, significantly reducing the time from initial concept to finalized design. This efficiency in calculations and streamlined data input processes provides users with the opportunity to investigate a broader array of motor topologies and thoroughly evaluate the effects of advanced loss mechanisms in the early phases of electromechanical design. The latest release boasts enhanced capabilities for design optimization, multiphysics analysis, and system modeling tailored specifically for electric motors, ensuring that engineers have the tools they need for cutting-edge development. Ultimately, Motor-CAD's fast multiphysics simulation capabilities across the full torque-speed range empower engineers to innovate and refine electric motor designs with unprecedented efficiency.
Learn more
Energy2D
Energy2D is an interactive multiphysics simulation program grounded in computational physics, designed to model the three primary modes of heat transfer: conduction, convection, and radiation, while also integrating particle dynamics. This software operates efficiently on a wide range of computers, simplifying the process by removing the need for switches between preprocessors, solvers, and postprocessors that are usually necessary for computational fluid dynamics simulations. Users can create "computational experiments" to explore scientific hypotheses or address engineering challenges without the need for intricate mathematical formulations. Additionally, development is ongoing to introduce various energy transformation types and to enhance support for different fluid types. While Energy2D excels in accurately modeling conduction, its representations of convection and radiation are not entirely precise, which means results involving these elements should be regarded as qualitative. Over 40 scientific papers have utilized Energy2D as a valuable research instrument, showcasing its adoption in the academic community. As the program evolves, its capabilities are expected to expand further, potentially offering more comprehensive insights into complex physical interactions.
Learn more