Holistic Innovative Solutions for an Efficient Recycling and Recovery of Valuable Raw Materials from Complex Construction and Demolition Waste (HISER)


higher recovery of raw materials from Construction and Demolition Waste
higher recovery of raw materials from Construction and Demolition Waste

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Automated quality assessment system

HISER will set out the conditions and requirements under which sensor technology can be successful in C&DW processing, which are still undetermined in the state of the art. HISER will identify the main targets for inline sensor technology by investigating the key parameters and required accuracies. 

Laser Induced Breakdown Spectroscopy (LIBS) can be developed either towards quantitative goals by measuring the elemental contents of materials, or towards identification of material types by combing it with a fingerprinting methodology. The reliability of its stand-off operation is based on the principle of ablation, by which the powerful laser burst vaporizes and ionizes a tiny amount of material that reaches extreme temperatures (the plasma plume) before spectroscopic measurement are taken. State of the art lasers can produce hundreds to even thousands of laser pulses per second, giving them a formidable capacity for inline inspection. HISER will develop LIBS for quality inspection of properly sorted secondary materials from demolition waste streams, such as concrete and ceramics. This will ensure that these secondary materials are reliable and acceptable for reuse in new products that are to be developed in HISER.

A fundamental limitation of surface-scanning sensors is their inherent inability to probe into depth. This leaves an uncertain relation between the true bulk properties of a thick layer of materials –which is required to ensure sufficient throughput in recycling operations- and the surface measurements. This aspect will also be targeted in HISER in order to develop inline quality assurance systems to full compliance and cost-effective. This way, HISER will bring such innovative systems to the desired industrial level to boost the sensor-based technologies beyond the state of the art.

The project has received funding from the European Union's  Horizon 2020 research and innovation program under grant agreement No 642085.


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