TresClean - High ThRoughput lasEr texturing of Self-CLEANing and antibacterial surfaces

TresClean Project

 

The TresClean Project will develop high-throughput laser-based texturing for fluid-repellent and antibacterial metal surfaces using innovative industrial high-average power ultrashort-pulsed lasers in combination with high-performance scanning heads. These technologies will be applied to produce self-cleaning and aseptic machine parts for food industry (e.g. components in contact with biological foods) and home appliances (e.g. dishwashers) by utilising a beam deliverary method over areas that can reach 250mm2.

 

In the first phase of the project the basic research activities for the surface design will be implemented together with a subsequent robust and scalable processingtechnologies and the development of the required laser sources and scanning systems. With the purpose of meeting the end users’ requirements all the activities included in the first phase will be defined in detail in accordance to the predefined physical limits of the system technology.

 

The design of surface structures and definition of the characterization methods will inform the subsequent work on two different technologies (DLIP and LIPSS) for the production of the needed structures, with respect to the process robustness and the scalability. In the second phase the technologies developed will be up scaled to a high throughput production of functional surfaces.

 

The laser systems and high speed scanning unit will be combined. Work on the upscaling of the processes on simplified geometries (2D) and development of processing strategies for the defined demonstrative parts will be performed. Then the final demonstration, the testing of the added functionality and the high throughput production will be done on the defined parts from the end-users in the last phase of the project.

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Image provided by ALPhANOV illustrating hydrophobic surface

Image provided by ALPhANOV illustrating hydrophobic surface

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The TresClean project is an initiative of the Photonics Public Private Partnership and has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 687613