Imagine 3D printing a complex metal part, but the surface is too rough or lacks the right properties. Instead of using harsh chemicals or wasteful grinding, this system uses precise laser beams to polish and texture the surface. It's like using a digital sanding tool that knows exactly where to touch the part to make it perfect. It even uses cameras to watch the process in real-time, creating a digital twin of the object.
Additive manufacturing parts often require secondary surface treatments that are expensive, energy-intensive, and environmentally harmful. There is a lack of digitalized, universal methods to finish complex geometries without wasting materials.
A unique manufacturing system combining Laser Powder Bed Fusion, laser polishing, and Direct Laser Interference Patterning. It includes in-line monitoring via plasma sensors and infrared cameras for digital twin creation.
If you are an engine component manufacturer dealing with rough surfaces on 3D printed turbine blades — this project developed a laser polishing and micro-structuring route that improves performance while reducing material waste. This replaces resource-consuming traditional finishing methods.
If you are a custom implant producer dealing with the need for specific surface textures for bone integration — this project developed a digitalised laser-based post-process route that creates advanced surface functionalities. This ensures high-performance requirements are met with a lower environmental footprint.
If you are a high-performance parts supplier dealing with high costs and energy use in surface treatment — this project developed a unique manufacturing system combining three laser technologies. This reduces the negative environmental impact of the production chain.
Based on available project data, it reduces costs by substituting resource-consuming and energy-intensive traditional surface treatments with a digitalised laser-based route.
The project involves 10 industrial partners and focuses on creating a universal post-process route for complex shapes, suggesting a strong push toward industrial scalability.
Based on available project data, specific IP and licensing terms are not provided, though the consortium consists of 13 partners across 6 countries.
The system implements in-line monitoring using plasma sensors and infrared cameras to create a digital twin for each part.
The project period runs from 2023-01-01 to 2026-06-30.
The consortium is heavily weighted toward commercial application, with an industry ratio of 77% (10 out of 13 partners). The presence of 6 SMEs indicates a focus on agile implementation and specialized technology integration across 6 European countries, led by a major academic institution (TU Dresden).
Contact Technische Universität Dresden
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