Digital control and connection of the machines has become normal practice in the plastics industry by now. New digital methods range from data collection to AI- based development of new materials and processes as well as AI-based production. The automated analysis of large amounts of data makes process-related data available for process control, further development of existing simulation models as well as for machine learning, and allows an ever better understanding of the processes. Digitalisation enables the connectivity and redesign of the value chain. Data concerning a particular material can be passed from player to player and can, for example, be applied to the regulation of downstream processes or be used to build holistic, controllable production systems. Digitalisation thus also makes a very decisive contribution to the Circular Economy and sustainability.

Digitalisation at IKV

The IKV is a leading research institute in the field of digitalisation in the plastics industry and a cutting-edge research and development partner for science, industry and innovative start-up companies. At Campus Melaten a completely digitalised research environment and infrastructure, the Plastics Innovation Center 4.0 (PIC 4.0), is currently being created to conduct comprehensive research on digitalisation in plastics production. As a competent partner, the IKV offers the infrastructure and test beds for the development of new digital methods with the Smart Facility. The aim is not only to enable the plastics industry to deal competently with digitalisation methods, but also to train junior staff with Industry 4.0 expertise.

Christoph Zimmermann, M.Sc.

Head of department Injection Moulding +49 241 80-93827 christoph.zimmermann@ikv.rwth-aachen.de

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IIMC 2017

New approaches for the enhancement of production efficiency and cutting edge developments in digitised production will be reflected in the talks given by the invited top-level experts during the IIMC 2017.

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Cluster of Excellence „Internet of Production“

The Internet of Production (IoP) is based on the vision of enabling a new level of cross-domain collaboration by providing semantically adequate and context-related data from production, development and application in real time and adapted granularity. The central scientific approach for this is represented by digital shadows as application-specifically aggregated and multi-perspective data sets. In the Cluster of Excellence IoP, a conceptual reference infrastructure is being designed and implemented that enables the generation and use of digital shadows. The IKV is part of the Cluster of Excellence IoP, in which Aachen’s renowned scientists from production engineering, computer science, materials science and economics have gathered. Together, they address interdisciplinary challenges such as the integration of reduced production engineering models in data-driven machine learning with the goals of cross-domain knowledge building and context-adaptive actions.

Polymer-Excellence: Digital platform for further training in plastics processing

The central goal of PolyEx is the development of an interconnected, digital platform for further training within the plastics processing trade. In addition to further training in relevant industrial occupations, it is particularly concerned with technically oriented crafts in which a significant level of understanding of plastics as a material is required.

The platform is to be built on artificial intelligence (AI), which will enable users to manage and coordinate their personal training paths, integrating individual interests and skills in the best possible way. Company requirements for the user’s skills profile are to be integrated and taken into account in order to increase the individualisation of the platform. In addition to further training courses offered by the IKV, courses offered by POLYSAX Bildungszentrum Kunststoffe GmbH and the Schwerin training and further education centre (Schweriner Aus- und Weiterbildungszentrum, saz) as well as other partners will be available.

Holistic AI-based optimisation of plastics packaging with recycled content

In the KIOptiPack project, AI-supported tools that enable a successful product design and quality-assured production of plastic packaging with a high recycled content are to be provided, validated and transferred to application in an AI application and data space. This will be combined with the formation of a central digital platform for value creation engineering. The project and the related tools will cover the entire value chain from secondary raw material, material and packaging development, process design, packaging production to waste collection and processing as recyclate.

Further projects in Digitalisation

  • CoSiMa – Connecting simulation and machine to optimise the production process of injection molded parts
  • Increased efficiency in the set-up and troubleshooting of PUR RIM processes through sensor-based process monitoring
  • Development of a control concept for improved process control in foam extrusion by inline detection and classification of the foam structure using digital image processing
  • Excellenzcluster „Internet of Production“ CRD A.2 – Conceptual Foundations of Digital Shadows
  • Excellenzcluster „Internet of Production“ CRD B.2 – Adaptive Discontinuous Manufacturing
  • Increasing process control in pultrusion with highly reactive matrix materials to reduce scrap and downtime with the help of a data-based process monitoring system
  • AI assists SMEs - AI-supported virtual assistance in production at SMEs
  • Cross-phase process control concepts in injection moulding using modern control strategies
  • PIC – Plastics Innovation Center 4.0
  • Simulative design of rubber extrusion dies taking into account the load history in the extruder as well as flow anomalies
  • Collaborative Research Centre 1120 Subproject B03 – Self-optimising process control strategies for highly segmented mould temperature control in injection moulding
  • ncreasing productivity and film quality in flat film extrusion by preventing the formation of deposits on chill rolls with the aid of a roll cleaning system coupled with an optical inspection system
  • Thermal homogenisation of the pre-distribution in spiral mandrel dies by means of heat pipes
  • Development of a digital twin of thermoforming lines – Process-oriented prediction of the wall thickness distribution of thermoformed parts
  • Development of an online detection of batch fluctuations in the elastomer injection moulding process
  • Development of a data-based model for predicting effective mechanical and thermal properties of injection-moulded semi-crystalline thermoplastics using an artificial neural network
  • More efficient plasticising through preheating/drying based on IR radiation
  • Contactless detection and control of the preform for process-reliable production in extrusion blow moulding

Poster

Übersichtsposter zum Leitthema Digitalisierung

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  • WIN4KMU – Paving the way to Industry 4.0 for small and medium-sized enterprises
  • DELFIN – Research into alternative materials and manufacturing processes for cost- and weight-reduced pressure vessels made of continuous fibre-reinforced plastics