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Selective Laser Sintering prototype set-up for Additive Manufacturing Flexible Electronics (D4.1 & MS6)

Work Package 4 is responsible for the High Resolution, Large Area AM Sintering and Pattern Laser System within the HiperLAM Project.

 

In the early stages of Work Package 4 - High Resolution, Large Area AM Sintering and Pattern Laser System, the goal is to setup a laser system to allow sintering trials to be run on a variety of inks for the various end user applications. It is also designed to allow trails of different technologies to take place. The setup design is driven by the application requirements of the project, delivering a versatile and compact solution. Additionally capabilities and results demonstrating the operation of the system have been shown and the system itself can be seen below: 

 

Figure 1 - Oxford Laser System Build

It is expected that the present system will be continuously updated from this point forward to improve its functionality depending on project requirements.system has been designed for maximum flexibilitymthat will allow us to investigate many avenues to determine the optimal process for both end user applications.

 

The next steps are to use this setup to begin the trials of the sintering and patterning that are outlined in Task 4.3: Laser sintering process development and sample characterisation and Task 4.4: High resolution selective laser patterning of printed metallic ink circuits. This system will allow the project to trial various conditions with a minimum amount of down time. This setup will also allow Oxford Laser to investigate Tasks 4.2: Insitu real-time optical diagnostics development for high resolution laser sintering and lay the ground work for Task 4.5 (Process scale up to 30x30cm2) and Task 5.1: Demonstration of laser printed logic circuit.

 

For more informaiton about the Project, please get in email us at hiperlam@kiteinnovation.com

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The HIPERLAM Project is an initiative of the Photonics and Factories of the Future Public Private Partnerships and received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 723879
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