EOS, along with its Austrian customer 1zu1 from Dornbirn, completed testing of its EOS P 500 polymer system, assessing production suitability for series applications. Both concluded that the system meets customer needs for uptime, performance, and quality for industrial 3D manufacturing solutions. 1zu1 has purchased two EOS P 500 polymer systems.
EOS says the EOS P 500 features a build rate that is twice as fast as the EOS P 396. Factors contributing to this include two 70-watt lasers for precise energy input into the powder during material melting. The recoater can be precisely controlled and applies a new layer of polymer powder to the build platform at speeds to 600 mm/s.
A three-stage filter unit filters material outgassing and particles from the build area of the EOS P 500. Unlike previous EOS systems, the EOS P 500 brings the material to optimum processing temperature before application, thus shortening the time required for recoating and exposure.
The work steps before and after the actual build process also run more quickly: Preheating and cooling of the interchangeable frame (with the 3D printed part) after production optionally takes place outside the EOS P 500. Users can start a new production process fifteen minutes after completing a build job. The system needs to be cleaned less frequently and serviced only once a year, so the uptime of the EOS P 500 is up to 75% higher, compared with predecessor systems.
The EOS P 500 can be seamlessly integrated into existing MES/ERP systems. It offers a range of solutions for process monitoring, enabling quality assurance through sensors as well as camera-based measurement data (optical and thermal). Users receive important system information, for example on the residual oxygen content or the temperature in the build space. EOSCONNECT MachinePark enables comprehensive and user-friendly monitoring of a company’s own machine pool. All EOS systems are displayed in an intuitive dashboard, allowing customers to collect machine and production data, retrieve it in real time and integrate it into existing IT infrastructures.
EOS
www.eos.info
