Sustainable action plan for beverage packaging
Suntory Beverage & Food France and Carrefour have signed an agreement.
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Together with 50 partners from industry, science and society, the Fraunhofer Institute for Process Engineering and Packaging IVV has launched an AI application hub. Artificial intelligence is to play a central role in closing the loop for plastic packaging.
Packaging accounts for by far the largest proportion of plastic waste worldwide. Due to technical and economic challenges that are often too great, only a small proportion of plastic is returned to the cycle as a secondary raw material. In AI application hub for plastic packaging aims to use artificial intelligence (AI) to pave the way for a sustainable circular economy.
In order to close the loop for plastic packaging as far as possible, 51 partners from business, science and society are working together in two innovation labs: KIOpti-Pack for design and production and K3I-Cycling for material recycling. An important goal is the cross-laboratory exchange of data in order to gain insights across the entire value chain. to be considered. In addition, the hub's topics relating to artificial intelligence and the circular economy for plastics will be made accessible to the general public through a variety of events and communication measures. Among other things, a podcast and an Open Hub Day are planned for this purpose.
Work in two laboratories
The aim of KIOptiPack is to, Practical AI-supported tools for successful product design and quality-compliant production of plastic packaging with a high proportion of recycled materials in an AI application and data room, validate them and transfer them to the application. This will be linked to the creation of a central network platform for value creation engineering. The project and the tools developed in it involve the entire value chain from secondary raw materials, material and packaging development, process design, packaging production to waste collection and processing in.
The aim of K3I-Cycling is to significantly Quantitative and qualitative improvement in the mechanical recycling of post-consumer plastic packaging waste. To this end, K3I-Cycling is using an artificial neural twin to develop a new, open and standardisable AI interface for the cross-sector collection of relevant information in the form of a lightweight packaging product passport. This means that for the first time enables digital networking of all stakeholders along the value chain. An artificial neural twin is a fully differentiable representation of the overall system that can be used to optimise individual components in relation to the entire system. Sensory information of all kinds along the material flow is recorded as data.
Linking data and expertise
The Fraunhofer IVV applies its expertise from more than 50 years of packaging and food science to the KIOptiPack innovation laboratory. In particular, the interdisciplinary team of researchers contributes its expertise from the development of packaging, the description of its properties and its understanding of processes and modelling of packaging production through thermoforming, sealing and cutting processes. The Fraunhofer IVV's knowledge base on the characterisation and digital description of polymer packaging materials for predicting their functions (e.g. barriers) as well as their production and processing are incorporated into the project and contribute to the Targeted development of recyclable packaging concepts using recycled materials with the help of new digital tools with.
In addition, the institute's expertise in the analysis of sensory material properties (e.g. odour) and the development of measurement techniques as well as the implementation of AI algorithms on analytical data are in demand. With its expertise in the analytical characterisation and (food law) evaluation of substance transfers from plastic materials as well as know-how in the modelling of migration processes and the evaluation of the purity and safety of post-consumer recyclates (PCR), the Fraunhofer IVV team provides a decisive contribution to the development of new products. Data linking for successful application in different areas from this. From the field of recycling, the researchers contribute their knowledge of their development of a solvent-based recycling process as well as the necessary expertise to assess the processability, quality and mixing possibilities of recyclates.
Source: Fraunhofer IVV
Here you will find a Overview of all partners of the project.
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