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1. #SOLIDWORKS FLOW SIMULATION VS STAR CCM UPDATE#
2. #SOLIDWORKS FLOW SIMULATION VS STAR CCM MANUAL#
3. #SOLIDWORKS FLOW SIMULATION VS STAR CCM WINDOWS#

There are even more important features of STAR-CCM+ that facilitate meshing.

#SOLIDWORKS FLOW SIMULATION VS STAR CCM MANUAL#

The complex connector was changed after the initial solution in STAR-CCM+ to improve flow results with no manual re-meshing and minimal effort to re-solve. The program can be used at any level necessary. For more traditional analysts, this process still allows for intervention so that meshing parameters and surface closure can be tweaked, but that’s the beauty of STAR-CCM+. This technology can automatically build a CFD-optimized triangular surface mesh around the most complex assembly, which then serves as the basis for the rest of an automated mesh-often the biggest hurdle to efficiently integrating CFD in the design process. Surface wrapping creates a clean closed surface from discontinuous CAD geometry. The third feature in STAR-CCM+ that enables fast and intuitive design iterations is called surface wrapping. Each design iteration in STAR-CCM+ solves much faster than a solution from scratch. As with any iterative process, the closer the starting conditions are to the final solution, the faster convergence is achieved. CFD relies on iterative calculations converging to a final solution. The second feature that is unique to STAR-CCM+ is the ability to estimate initial conditions in the replaced part by extrapolating the converged results from the previous solution to the new geometry. This greatly improves efficiency and “time to insight” over traditional CAD-based interfaces requiring body or face selection and re-assignment. When a part is replaced and assigned the proper tag, STAR-CCM+ immediately recognizes its proper place in the model setup. The first is that properties or boundaries are associated to part or body names. Three features in STAR-CCM+ greatly facilitate this. Then a part or group of parts can be swapped and the solution re-run with minimal effort. From within a pre-defined Skeleton File or in a project developed from scratch, users can complete a baseline study with inlets, outlets, and boundary conditions defined. The STAR-CCM+ workflow is optimized for CFD model development.

#SOLIDWORKS FLOW SIMULATION VS STAR CCM WINDOWS#

The STAR-CCM+ interface shows tiled graphics windows in addition to the feature tree and properties alongside, and the log below the windows.

#SOLIDWORKS FLOW SIMULATION VS STAR CCM UPDATE#

All a design engineer needs to do is import geometry and update part names. Skeleton Files can also be created by CFD specialists to capture all the important setup information, results displays, and reports needed to evaluate iterations. Skeleton Files can be used at all levels as just one of the many automation tools to increase productivity. Skeleton Files are essentially templates that contain all the property, boundary condition, and CFD-specific input for a given type of problem. This, combined with a familiar-feeling, feature-tree based user interface, makes STAR-CCM+ suitable for all sorts of users.Ī powerful feature of STAR-CCM+ that enables knowledge capture and sharing within an organization is the implementation of Skeleton Files. STAR-CCM+ also comes in a CAD-independent product that provides the same geometry-based ease-of-use with import from many native CAD formats, all standard geometry neutral formats, and commonly available finite element mesh (FEM) neutral formats. Image courtesy of Felt Bicyclesĭevelopers have created an associative and embedded CAD interface to Pro/ENGINEER, SolidWorks, CATIA, and NX so engineers can optimize flow-related performance at the earliest conceptual stages of a design. Pressure fringe plots and streamlines simulating a racing bicycle in a wind tunnel. STAR-CCM+, the flagship product from CD-adapco and currently in v4.06, builds on a strong leadership position in advanced computational fluid dynamics (CFD) for both analysis professionals and design engineers who need fast insight without the burden of detailed modeling tasks.