How do we apply additive manufacturing to solve maintenance and spare parts challenges in rail operations? 🛠️ Today at #rapidtech3D2026, Lorenzo Gasparoni together with Jochen Loock of 3D Spark, shared how digital workflows and data-driven purchasing decisions can help: ✅Reduce maintenance lead times ✅Improve responsiveness to obsolete or missing parts ✅Support fleet availability through on-demand production Find out more about our approach in the video interview ⬇️ Thank you to rapid.tech3D + FabCon 3D and everyone who joined the discussion in #Erfurt. #AdditiveManufacturing #3DPrinting #Rail #AlstomServices
Most maintainers are adverse to additive manufacturing as material grades aren't the same as the original drawing and they have concerns about strengths safety etc. Good to see Alstom embracing technology and innovation to solve real world problems.
Very interesting approach, especially for applications where lead times and obsolescence become critical for maintenance operations. In the field, responsiveness is often not only about manufacturing capability, but also about understanding operational constraints, as well as the real conditions in which the component will be used. The ability to secure fleet availability through more agile industrial approaches will clearly become an increasingly important topic in rail maintenance.
No one 100% right that is why dont jug without him or her working experience, i have been tried but why unforchunaitly i dont know may be i know but dont jug so quickly give chance might be better then many skills
Mircom Group of Companies is proud to be part of this important project in Egypt—my home country. A great milestone and contribution to safety and innovation.
Lorenzo, you have never doubted the effectiveness of 3D printing in railway services. This confidence has enabled you and your team to develop solutions at an exceptional pace, delivering outstanding performances in terms of train return-to-service.Congratulations to you and the entire team!
another milestone in this fantastic collaboration of Alstom & 3D Spark! Thanks Lorenzo Gasparoni, Aurélien FUSSEL, Stéphane Goulet, PRAVEEN KUMAR C.G and team!
Thank you to Additive Manufacturing Team for the great collaboration! Special thanks goes to Lorenzo Gasparoni & Antonio Caruso for the video making on Sesto Site :)
Very relevant approach. Additive manufacturing can clearly reduce lead times and improve fleet availability, especially when spare parts become obsolete or unavailable. One additional layer may become decisive: predictive identification of which component, asset or subsystem is likely to become critical before the maintenance bottleneck appears. In our research work, we have been developing a predictive industrial engine focused on early detection of abnormal patterns across fleets and operational domains, with the goal of supporting maintenance planning before failure becomes visible. For rail operations, this combination could be powerful: predictive signal detection → maintenance prioritisation → on-demand spare part production → reduced downtime. This is exactly the kind of bridge Europe should explore more deeply between industrial AI, fleet maintenance and advanced manufacturing.