This past summer, the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) announced the success of an 18-month project that used ARBURG’s Freeformer 3D printer to produce an inductive proximity sensor directly within its casing. It looks like Fraunhofer is already putting its findings to good use, since another of the organization’s branches, the Fraunhofer Institute for Laser Technology (ILT), announced it had received funding from Germany’s Federal Ministry for Economic Affairs and Energy (BMWi) to work on a project to develop 3D printing intelligent sensor technology for railway systems.
The project, called SenseTrAIn, began in September and is intended to be used by the DB Systemtechnik GmbH, described as “Europe’s largest competency center for railway technology.” In addition, three other companies will be joining Fraunhofer ILT in the effort, including ME-Meßsysteme GmbH, a manufacturer of force and torque sensors, amplifiers, and strain-gauges; vedisys AG, a specialist in the digitalization of public transport data and solutions; and DATAbility GmbH, an engineering software firm focused on the automation of diagnostic and solution-recommendation processes related to complex system databases. This multifaceted, interdisciplinary team is banking on the unprecedentedly rapid coordinating capabilities made possible by 5G to finish the job and expects to work on SenseTrAIn through 2024.
According to Fraunhofer ILT’s Simon Vervoort, one of the organization’s research assistants, “We were awarded the contract by the BMWi because the overall package, put together by our project participants, adds up.”
The project is initially facilitated by the developments Fraunhofer has long been working towards in embedding electronic sensors into 3D printed industrial components. Still, the project’s ultimate purpose is to create railway systems that can use AI to inform public transit professionals about the maintenance status of specific train components and even alert them ahead of time concerning the need for repair or replacement.
As such, the research Fraunhofer is planning will focus on determining which train components—as they are currently and conventionally built—meet the essential combined requirements for continuous monitoring and have the greatest potential for being 3D printed with embedded sensors. So far, the team has highlighted a set of components they are most interested in working on. These include door mechanisms, primary and yaw dampers, and especially wheelset bearing caps which are particularly susceptible to wear due to the high temperatures reached with increased loads.
The greatest limitation so far, according to Vervoort, is data. Since it’s not yet possible to test under real-world, everyday conditions, the team will use the TrainLab at DB Systemtechnik GmbH to approximate those as closely as possible. It’s an enormously ambitious project with a lot of moving parts (get it?), but the team’s diverse and widely-encompassing research background is undoubtedly an asset. Moreover, the applications that can possibly be discovered for other areas of transportation, and additive manufacturing in general, are virtually endless. I’m sure the rest of the 3D printing industry will be closely watching this project as it unfolds.
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