Compare Azore CFD vs. MSC Apex

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.

GMTO has adopted MSC Apex to create a unified CAE environment that supports the virtual development of products, particularly aimed at ensuring that the colossal telescope can endure earthquakes in Chile while contributing to our understanding of the cosmos. This platform offers a user-friendly experience that many engineers find captivating, often describing it as ‘addictive’ due to its game-like qualities. MSC Apex features a structured package that facilitates scenario definition and result analysis, alongside integrated solver methodologies. What sets this solution apart is its innovative combination of computational components and assembly technology within a generative framework, allowing for both interactive and incremental analyses. The seamless integration of the user interface with solver methods empowers users to validate their finite element models to ensure they are ready for solving. Additionally, users can initiate a series of solver checks on specific parts and assemblies, with the results and diagnostics clearly presented in the Analysis Readiness panel, enhancing the overall efficiency of the validation process. This capability not only streamlines workflow but also boosts user confidence in their models before proceeding with extensive simulations.