Throughout a product's lifecycle, designs are revisited by various experts, crossing multiple departments or even partnering companies. Swiftly detecting changes and discrepancies between different CAD models and mesh data from simulations is vital. CADfix provides three innovative tools for CAD, CAE, simulation, and advanced manufacturing. These tools guide users in effortlessly identifying variances between CAD models and meshes.
CAD Data Reuse for CAE with CADfix
In the world of product design, simulation tools play an increasingly crucial role in obtaining relevant results to improve the design process. A key component of this is the use of finite element analysis (FEA), computational fluid dynamics (CFD), and electromagnetic analysis (EM). With the reduction of product design cycles, the focus is increasingly on these tools to provide quick results and aid design decisions. However, much time is still spent on preparing CAD geometry for analysis. CADfix, a CAD data preprocessing tool, provides a solution to this problem by automatically or interactively repairing and transforming CAD geometry before analysis.
Importance of CAD Data Preprocessing
The significance of the master model quality in CAE analysis cannot be understated. The CAD model provides the geometry for analysis, and as such, the time spent on analysis preparation with the geometry can be substantial. CADfix addresses this challenge by providing CAE analysts with much more robust geometric definitions for their analytical needs. By ensuring that solid or surface models are efficiently translated into target systems, CADfix can help reduce the time and effort required for CAD data preprocessing, leaving more time for analysis.
CADfix: A Comprehensive Tool for CAE Analysts
CADfix offers a comprehensive range of import and export features for CAD data preprocessing from both native and neutral formats. This makes it an invaluable tool for CAE analysts who need to work with CAD data from various sources. The software provides robust translation of solid or surface models into target systems. Moreover, CADfix can read and write multiple geometric formats, prepare and repair poor-quality geometry, and simplify complex geometric definitions. This uniquely positions it in the CAD to CAE data flow, offering a complete solution for CAD data preprocessing.
Interactivity and Automation in CADfix
CADfix provides a range of interactive tools that allow CAE analysts to quickly and easily prepare CAD geometry for analysis. These tools include geometry correction, simplification, and feature removal. The software also offers interactive and automated techniques for identifying and repairing common CAD geometry issues, such as gaps, overlaps, and self-intersections.
Main Benefits of CADfix
One of the main advantages of CADfix is that it allows CAE analysts to work more efficiently with CAD geometry. The software streamlines the CAD data preprocessing process, reducing the time and effort required to prepare geometry for analysis. This can help shorten the product design cycle and speed up time-to-market.
In conclusion, CADfix is a powerful tool for CAE analysts who need to work with CAD data from various sources. By providing a comprehensive range of import and export features, as well as interactive and automated tools for repairing and transforming CAD geometry, CADfix can help streamline the CAD data preprocessing process. This allows CAE analysts to work more efficiently, reducing the time and effort required to prepare geometry for analysis. Ultimately, this can help accelerate the product design cycle and provide timely results to drive the design process.
In the demanding world of numerical simulation, the accuracy of input data is as crucial as the calculation algorithms themselves. A recent study reveals that more than 70% of simulation failures are attributable not to solvers, but to geometric defects present in the CAD models used as the basis for calculation. Geometric qualification of models is therefore a decisive step to ensure reliable and usable results.
CAD qualification for simulation - this methodical verification aimed at certifying that no defect affects the reuse of a model for numerical simulation - represents a strategic issue today for aerospace, automotive, and energy industries, where each decision based on erroneous results can lead to considerable financial consequences.
The world of simulation and CAD (Computer-Aided Design) is vast and intricate. Interoperability between CAD models and simulation tools is vital to ensure accurate and reliable results. Discover here how tartan meshing fits into this context and how the solution CADfix stands out in this industry.
The Medial Object technology represents a major advancement in the preparation of CAD models for numerical simulation. Originally developed at Queen's University in Belfast in the 1980s, this revolutionary approach transforms complex 3D models into lighter skeletal representations better suited for numerical calculations. Engineers facing growing challenges in CAD interoperability and complex modern geometries find in this technology a solution to significantly reduce preparation time while improving analysis accuracy.
With the constant increase in the complexity of 3D designs, traditional methods of preparing models for simulation are reaching their limits, resulting in extended delays and sometimes inaccurate results. Medial Object Technology, integrated into advanced software solutions, offers a high-performance alternative that revolutionizes numerical simulation workflows and opens new perspectives for product optimization.
In the realm of engineering simulations, the preparation of CAD models is a critical step that determines the accuracy and efficiency of the simulation process. CADfix, a powerful tool in this domain, comes to the forefront with its innovative Geometric Reasoning technology, transforming mid surfaces of solids into skeletal representations packed with comprehensive information.
In today's industrial landscape, the accuracy of numerical simulations has become a determining factor for innovation and competitiveness. Yet, a major obstacle persists: the excessive complexity of native CAD models that significantly slows down FEA, CFD, and electromagnetic analyses. The consequences are direct: increased calculation times, risk of errors, and inefficient use of computing resources. Faced with this challenge, intelligent simplification of CAD models is emerging as a critical step in the digital engineering process.
Recent studies show that proper preparation of CAD models for simulation can reduce calculation times by up to 70% while preserving result accuracy in critical areas of interest. This optimized approach radically transforms the efficiency of engineering departments.
