The Additive World Platform
Our MetalFAB1 system is integrated with the Additive World Platform, which supports the 3D metal printing workflow. It allows our customers to store, share and analyse all relevant data in order to learn and improve quickly, and meet the high standards of regulated markets.
The Additive World Platform is developed with the purpose to support the AM process in all its facets, from design to manufacturing, from post-processing to machine integration and testing, supported by a central knowledge management and (big) data solution. The Additive World Platform comprises of different components and applications that include: support for remote management of the Additive Manufacturing workflow, specific support for job preparation, machine and equipment monitoring, maintenance login and (big) data gathering and analytics. All with the purpose to support a controlled and stable manufacturing process, with continuous improvement of uptime and process quality to lower the cost per part.
Different Functions of the World Additive Platform
The platform offers a number of functions and integrated third party applications to support the core additive manufacturing process, including the following:
Design and Simulation
Apart from the workflow to support the management of part optimisation, the Additive World Platform offers the functionality to store all relevant part data in a single place, including CAD and CAM data – all governed under version control that manages version history and is used to link part versions to production builds, allowing a full part history overview in the system.
The planning and preparation module includes functionality to support the sales process (next to existing ERP systems), cost price calculation, additional functionality on existing job preparation packages as well as insight into machine planning/occupation and production queues.
Print Process Management and Quality Control
The print process management functionality supports the workflow of combining scheduled parts into builds and defining the build recipe based on part parameters, while storing all relevant data in a single repository throughout the build process. This allows full visibility of job history, storage of relevant quality control data and job reporting.