Software

Users can choose between the climb or conventional cutting methods and define the contact point between the tool and the workpiece, e.g. in the middle of the flute. This is relevant for non-ball cutters like chamfer mills where careful control over the cutting conditions creates chamfered edges with a high quality finish.

Integrated into the Rafinex solution, the ModuleWorks software generates highly automated, collision-free toolpaths for PBF. The workflow enables users to quickly program resilient, high-performance parts for production where expert knowledge of the manufacturing process is not required. The pre-defined parameters assist engineers in optimising the workpiece geometry for the PBF process to generate a toolpath and NC code that automatically minimises material waste.

Mx 9.1 software extends Zygo’s collaborative metrology software with Asphere+ Analysis functionality, providing a common toolset to explore aspheric surface data obtained using any instrument. Best-fit prescriptions can be obtained for a wide range of surface types, and the 3D deviation between part and design can be examined and exported for process control feedback

CT-data analysis software for inspection has a quality role in nearly every industry that has critical parts and processes that need monitoring for faults and variations. These include automotive, aerospace and electronics, among others. Volume Graphics’ software tracks, analyses, and visualizes porosity/inclusions, delaminations, fiber or grain orientations, deformations and areas of low density and weakness. It is used to compare the “as-designed” and “as-manufactured” product to ensure compliance to specifications and intended performance.

Version 3.40 of the edge products includes a number of new features that greatly facilitate integration with standard Docker IT solutions. With version 3.40 of its edge products, Softing Industrial continues its commitment to improving connectivity at the interface of OT and IT and facilitating the use of standard IT management and monitoring solutions.

The deep learning technology for object detection is now also available in MERLIC. The “Find Object” tool locates trained object classes and identifies them with a surrounding rectangle (bounding box). Touching or partially overlapping objects are also separated, which allows counting of objects. Labeling and training are possible without programming knowledge using the free MVTec Deep Learning Tool. The trained network can then be loaded into MERLIC and used with a single click.