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CADEXSOFT Manufacturing Toolkit 2025.7 Available

Look for MTK Workbench initial release, PDF import, new DFM checks, and performance improvements in latest release.

CADEXSOFT Manufacturing Toolkit 2025.7 Available
MTK Workbench initial release. Image courtesy: CADEXSOFT

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By DE Editors  

November 18, 2025

CADEXSOFT shares the initial release of MTK Workbench, a desktop application designed for viewing, testing, and deep analysis of MTK workflows before integrating MTK into your application. It supports import and export of all MTK-compatible file formats and provides an integrated 3D/2D viewer with navigation tools, a model tree, and property inspection.

Core MTK capabilities such as Feature Recognition, DFM Analysis, Unfolding, and other workflow features are available directly within the Workbench. You can switch between wireframe and shaded visualization modes, and choose from multiple selection types, including solid, face, wire, edge, and vertex, for model interaction.

Currently, Workbench supports CNC machining, sheet metal, and injection molding workflows, allowing you to inspect detected manufacturing features and review part properties. This enables interactive validation and refinement of models before workflow integration.

The new MTK release expands support for working with 2D drawings. You can now import 2D curve geometry from PDF.

At this time only contour curve geometry is supported at this stage, without additional 2D semantics.

In MTK 2025.4, the company introduced the ModelAlgo::MeshGenerator class, which enables generation of triangulations for B-Rep shapes with user-defined granularity. You can generate meshes for all shapes or selectively for those that do not already have triangulation.

In MTK, polygonal geometry is represented by ModelData::MeshBody, which contains one or more ModelData::MeshShape elements. Starting with this release, you can export a MeshBody to the native .mtk format or, conversely, import it from an .mtk file. The generated mesh can be useful for basic computations or for visualization.

In this release, overall DFM and feature recognition performance for CNC machining has increased, while wall thickness analysis algorithms have improved by about 35%, the company reports.

For much more product details, click here.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

 
 

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