EOS
Canvas Category Machinery : Additive Manufacturing : 3D Printer
EOS is leading supplier for responsible manufacturing solutions via industrial 3D printing technology. With our innovative EOS 3D printers, we are leaders in technology and quality for high-end solutions in additive manufacturing (AM). Founded in 1989, we are pioneers in the field of metal 3D printing (DMLS) and providers of highly productive systems for additive manufacturing with plastics. Our portfolio also includes worldwide service and comprehensive consulting offers for additive manufacturing.
Assembly Line
EOS integrates Oqton Build Quality for simulation and inspection of metal 3D printing
Automation software provider Oqton has announced the integration of its Build Quality suite with EOS software platform EOSCONNECT Core. According to Oqton, the tool has the potential to enable the production of high-quality parts and improved process repeatability for metal 3D printing.
Oqton Build Quality is an AI-powered solution for metal powder bed printers that evaluates build performance across manufacturing workflows to prevent, detect and potentially correct anomalies and defects.
Oqton claims the integration of this solution with EOS software will enable full end-to-end traceability of additively manufactured parts to help EOS customers meet demanding quality assurance standards. Additionally, it can potentially help lower production costs by reducing material use and minimizing scrap.
Atlas Copco cuts production lead times by 90% and costs by 30% with EOS polymer 3D printing technology
Atlas Copco has reported production cost reductions of 30% and lead time reductions of 92% since transitioning to in-house polymer additive manufacturing. Installing an EOS P396 3D printer, Atlas Copco has said it has been able to shorten its supply chain and lower its environmental impact, in addition to the cost and time savings.
As a result of this process, Atlas Copco installed an EOS P 396 machine, with support for 14 materials and 26 parameter sets. Combining the machine with the DyeMansion DM60 colouring solution, the EOS P 396 system is supporting production and new product designs, with the dyeing step allowing Atlas Copco to highlight where certain safety equipment should be used by operators on automotive production lines.
By bringing the technology in-house, Atlas Copco needs fewer third-party components, has reduced supply chain lead times and transport delays, and cut lead times of up to 12 weeks down to 3-4 days. By cutting out transport steps, it has reduced its impact on the environment, and the company also now has more precise control over production schedules, meaning it can support customer with unplanned orders that have quick turnaround requirements. In addition to this, Atlas Copco has reduced supply chain and person-hours, while eliminating retooling delays. This has resulted in a 30% reduction in production costs. Waste is said to have been cut to zero from around 7%.
EOS and Volkmann Partner to Provide Fully-Automated Industrial 3D Printing Powder Handling Solution
VOLKMANN and EOS today announced a scalable, closed-loop metal powder handling solution for users of the EOS M 290, EOS M 400 and EOS M 300 series additive manufacturing (AM) systems. Offered directly from EOS, the handling and processing of metal AM materials can now be managed through a holistic powder handling approach – for both pre- and post-processing – from initial powder preparation to a closed, fully-automatic powder circuit.
Closed powder circuits can be created with up to six (6) 3D printers in one production cell with fully automatic powder handling. The scaling of such systems can be done gradually, incorporating existing printers. The user benefits from this partnership through a holistic system for 3D printing and powder handling from a single source – from project planning to end-use application.
Automated AM Production Line for Polymer Parts at BMW x DyeMansion, EOS & Grenzebach
Arkema announces new partnerships with industry leaders to design the next generation of 3D printed materials and solutions
Arkema collaborates with industry leaders including EOS, HP and Stratasys, to continue offering customers more sustainable, high-performance materials for additive manufacturing. This is particularly true of its bio-sourced Rilsan® Polyamide 11, for which the Group recently announced a further reduction in the carbon footprint of all its grades globally. This initiative represents an improvement of around 70% compared to traditional polyamide resins produced using fossil-based raw materials and conventional energy sources.
🖨️ EOS North America and 3YOURMIND Launch Rapid Part Identifier Program
EOS North America’s Additive Minds team and 3YOURMIND have partnered to accelerate additive manufacturing (AM) adoption through their Rapid Part Identifier program. Now, organizations can benefit from the rapid part screening of 2D and 3D files, augmented by AM engineering expertise to create a holistic industrial 3D printing strategy. This new partnership agreement helps quickly scale part identification for AM, supported by the strategy and engineering required to achieve successful production.
🔏 How Secure Is Your Digital Additive Manufacturing Data?
Although additive manufacturing doesn’t inherently bring with it any extreme risks, it can be the first time a manufacturer is faced with digital processes and establishing secure IT systems. “We work with companies all the time that have a traditional manufacturing line where plans are still on paper, and the data is stored on a local hard drive,” says Hayes. “Implementing additive allows that company to jump steps ahead in the technology curve, and all of a sudden, they can have digitally connected systems and cloud networks.” Securing those networks is up to individual organizations, notes Hayes. “The security of any data inside of that EOS machine is as safe or as vulnerable as that organization’s overall IT security.”
AI In-situ Monitoring Detects Fusion Flaws in L-PBF Metal 3D Printing
In-situ process monitoring is the key for validating the quality of AM-made parts and minimizing the need for post quality control. In this collaborative research, in-situ datasets collected from a co-axial photodiode installed in an EOS M 290 were subject to a set of correction factors to remove chromatic and monochromatic distortions from the signal. The corrected datasets were then analyzed using statistical and machine learning algorithms. These algorithms were systematically tuned and customized to detect lack of fusion flaws.
Building the world’s most efficient air-conditioning system in the United Arab Emirates
We believe that by combining Algorithmic Engineering with industrial 3D printing, we can engineer A/C units that, over the cycle of a year, consume only 10% of the energy of a conventional device. After long discussions with Hans Langer, founder of AM giant EOS, I am now convinced that we can do it at scale, and at a price point that is competitive with traditionally manufactured units.
The cost to buy one and operate it for one year should not exceed the same amount of money that you need to invest in an off-the-shelf A/C. This is what’s needed for a tipping point — I think we can do it. It’s going to be super hard and take a lot of effort on many fronts – engineering, manufacturing and industrialization. We have our work cut out for us, and I sincerely hope, we will get it done.