“3D growth Simplifies” simplifies the handling of large CAD data models

February 28, 2019
    OUTSOURCE CAD SERVICES

    The “3D growth Simplifies” of the German-French software maker CoreTechnologie is software for the speedy and entirely mechanical generalisation of CAD data. The tool convert and handles the analysis and script of all admired formats such as Catia V5 and V6, NX, Solidworks, Creo, Inventor, Step, IGES, JT, XT, FBX, DWG and DGN. In totaling to transfer and generalisation, the models can be tartan and optimized in terms of superiority.

    Envelope geometry improves CAD presentation


    With the rising level of element and the amount of CAD models, the number of entity to be display is in most suitcases beyond the capability of today’s CAD workstations. Automated generalisation and data diminution is important for the control of large volumes of statistics to create layouts or VR models in the field. The fast and fully automatic generation of covering geometries is a practical solution to efficiently work with the large amount of data, especially in plant structure.

    Preparation of customer or provider data


    The Simplifier simplify and convert provider data. The elimination of internal geometry for the computation of wrapper geometries can be achieve within seconds by urgent a button. For competent lessening of the file size, solids are produced robotically without any central workings. The “Healing” technology ensure the habitual psychiatry and repair of the 3D models. The regular correction function improve statistics excellence to optimize data exchange, specially for import data.

    The result of the simplifier procedure and excellence optimization is higher recital in the CAD system and in all downstream processes. mainly suitable is the process for Digital Mock Ups. In adding up, problems in the picture source are eliminate by the appreciably condensed amount of data and the lofty data eminence.

    Computerized product release with recognize-how protection


    The model generalization is automatic in group mode and can be perform for any number of files and directory. attribute in the CAD data, colors and names of the machinery allow accurate control of the generalization process. Thus, certain mechanism are purposely excluded from the generalization, completely removed or replace by highly basic, that is rough envelope contour.

    The covering contours supply the alternate of the innovative geometry for an added reduction in file size. Sheet metal parts can be replace, for example, by boxes, gear or gears by cylinders or further complex geometries with cooling fins by polyhedral. In addition, Enterprise Data manager offer a variety of automation options. Web-based client / server solutions, multiprocessor operation, command-line procedure and the elective directory scanner provide flawless mixing into existing PLM environment as needed. The index scanner monitor definite folders and process data stored in them.

    Another option for mixing into existing PLM systems is the authority line. The addition enables mechanization for the condition of product data, for example for catalog system such as Do ware or Engineer-to-Order systems such as Siemens PLM Rule watercourse.

    Preparation of CAD data for VR / AR


    When dispensation CAD data for apparition in virtual or increased reality, the 3D_Evolution Simplifier is used to decrease the number of polygons without excellence disadvantages, i.e. by 90% or more, in typical models starting the automatic and plant engineering sector. The process is based on removing the internal geometry and drilling based on optimized B-rep solids. After appraisal the original CAD geometry, the generality of the exact B-Rep data takes place. later, the conversion to format such as obj and fbx with classification of the polygon size as well as the decline of the tessellation by up to 98% is proficient.

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    One response to ““3D growth Simplifies” simplifies the handling of large CAD data models”

    1. eebest8 says:

      “Major thankies for the article post.Thanks Again. Great.”

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