Company insight
Making medical injection moulding smarter
Since Daniel Kormann started working in the medical device industry in 2009, it has evolved signifi cantly. Initially, methods like cavity pressure measurement were rare, but they’re now standard for ensuring process and product quality. Over time, digitalisation and automation have also advanced, further enhancing the accuracy and effi ciency of these processes. Kormann, now head of business development for Plastics at Kistler, refl ects on current trends like AI and on new regulations.
Daniel, what key changes have you noticed in medtech? During my time in the medical device industry, I’ve seen major shifts. In 2010, companies were sceptical about cavity pressure measurement, focusing only on basic process monitoring, which limited their ability to ensure consistent product quality. When I joined Kistler, we developed ComoNeo, a significant upgrade from its predecessor ComoInjection. It offered a better user experience and quickly gained success, especially in the medical field. To address industry needs, we formed an internal team combining plastics and manufacturing experts. This collaboration highlighted the potential of data analysis in medtech, leading Kistler to offer the Stasa QC process navigator, automating test plan documentation and analysis.
How does quality monitoring and assurance differ in the MedTech industry?
Quality management is crucial in the medical industry due to the sensitivity of the products. Regulations such as GMP in the US and MDR in Europe mandate strict standards and thorough documentation. This drives the need for integrated process solutions that document and optimise production parameters. For example, the ComoNeo system from Kistler measures cavity pressure and compares it to nominal curves, while ComoNeoPREDICT uses AI to forecast product quality. Despite these advances, there’s still significant potential for digital solutions.
Where are Medtech companies currently applying digital solutions? Modern software and algorithms enable injection moulders to automatically adjust process parameters when measurements
58 Medical Device Developments /
www.nsmedicaldevices.com
Daniel Kormann, head of business development for plastics, Kistler
deviate from ideal values. For example, if sensors detect incorrect cavity pressure, the system can automatically modify the switch- over point. Multiflow software from Kistler addresses the challenge of filling multiple cavities by analysing pressure differences between them. It adjusts the hot runner tip temperature to ensure more uniform filling across all cavities, improving efficiency. Capabilities like this are increasingly valuable as the industry faces a shortage of skilled workers, highlighting the growing importance of automation in maintaining production quality and consistency.
Is there still unused potential? While algorithm-based systems are already deployed by some users, many are still hesitant. Our goal is to demonstrate that these new automated systems are easy to implement and operate. By collaborating with our customers and incorporating their feedback, we can refine our products and improve the user experience.
To further enhance adoption, education plays a key role. It not only helps companies recognise the benefits of digital solutions but also trains employees at various levels to use them effectively. That’s why we established the Kistler Plastics Academy. Our program supports our customers’ digital journey through three levels of training: ‘Basic’ training focuses on sensor installation and using the ComoNeo system for machine operators, application engineers, and mould makers. The ‘Advanced’ training program explores mould processes for process engineers and production experts, while the ‘Expert’ training offers data managers and quality engineers in-depth insights into data management and analysis.
Artificial intelligence is a hot topic right now. How can injection moulders benefit from AI in their daily operations?
AI provides valuable support to injection moulders, particularly through data
The Kistler Plastics Academy assists clients in their digital journey across three levels: Basic, Advanced, and Expert.
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