KEX integrates Senvol Database into its AM Knowledge Area

December 16, 2019

December 16, 2019

KEX Knowledge Exchange AG recently licensed the Senvol Database to integrate into its Additive Manufacturing Knowledge Area, a tool for near-time technology- and application monitoring in the field of Additive Manufacturing for Europe. Together with research partners at RWTH Aachen University campus and elsewhere in European academia, KEX connects market and research information to identify future trends.

The Senvol Database, developed by Senvol, New York City, New York, USA, is the first and most comprehensive database of industrial Additive Manufacturing machines and materials. The Senvol Database is free to use on Senvol’s website, and the data within the Senvol Database is available for license and can be integrated into any type of AM software.

The integration of the Senvol Database into the Innovation Platform is expected to extend the KEX knowledge base by the additin of a broad range of market-available machine and material information, and on the other hand to benefit the Senvol data pool by adding a broad set of application examples and exclusive research knowledge with a focus on AM processes, machines, and materials.

Patrick Wienert, Partner at KEX Knowledge Exchange, stated, “ empowers its users to connect the AM machine and material data from the Senvol Database to real application examples and exclusive research knowledge. The platform actively engages its users to generate innovative application ideas and at the same time indicates possible partners, technologies and materials for a fast implementation.”

December 16, 2019

In the latest issue of Metal AM magazine

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Extensive AM industry news coverage, as well as the following exclusive deep-dive articles:

  • Metal powders in Additive Manufacturing: An exploration of sustainable production, usage and recycling
  • Inside Wayland Additive: How innovation in electron beam PBF is opening new markets for AM
  • An end-to-end production case study: Leveraging data-driven machine learning and autonomous process control in AM
  • Consolidation, competition, and the cost of certification: Insight from New York’s AM Strategies 2024
  • Scandium’s impact on the Additive Manufacturing of aluminium alloys
  • AM for medical implants: An analysis of the impact of powder reuse in Powder Bed Fusion

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