A new industry consortium called Avidens focuses on real-time detection of anomalies during themolding processallowing in-line adjustments.
The company is cooperation between sensorics and AI company SensXpert, polymer processingand engineering company Schwarz Plastic Solutions, material and laboratory specialists NETZSCH Analyzing & Testing and the mold maker Precupa, specializedon sensor integration inprecision molds.
Recent and upcoming European legislation and directives as for WEEE and automotive components are guiding the polymer industry towards circular economy and a higher degree ofusage of recycled polymers.
One of the key concerns today is maintaining consistent part quality during the injection process when using compounds with recycled content. The fluctuations in material qualityappear batch to batch, bag to bag or sometimes cycle to cycle. Recyclers and machine producers are already developing different processes to ensure the material quality to the best degree and to adjust the machine parameters a good as possible to the changing material sheets.
However, these technologies cannot see or interfere, once the material leaves the nozzle andenters the mold. Current technologies like pressure sensors cannot look through the material or the product and are handicapped to a certain degree
Exactly this in-line detection of anomalies inside the molding process is the focus of AVIDENS. With new developed DEA (dielectric analysis) sensors, this technology looks at the behaviour of the polymer inside the cavity. The complete picture and behaviour around vicosityand plastification are monitored and collected during every shot. Later this data is processed with the help of artificial intelligence and compared to pre-collected datasets, which will allow a directlive in-line feedback to the machine to adjust parameters according to the observed anomalies.
While the increased use of recycled materials is a crucial step towards a circular economy, integrating them into plastics production processes presents significant challenges.
The inherent variability of recycled materials – especially considering the increasing use of post-consumer recyclates (PCR) – often leads to uncertainty about final part quality. Damaged materials and inconsistent quality levels from batch to batch, bag to bag or even within a tank filling can cause significant deviations in molding behavior compared to virgin polymer compounds. To give an example: The molecular chain length distribution of a plastic depends largely on the history and processing parameters of the plastic but has a direct influence on the flowability of the material. This inconsistency can lead to process inefficiencies, higher scrap rates, and difficulties in achieving desired product performance and should therefore be taken into account in the process control.
Furthermore, detecting deviations during the molding process becomes even more complex with recycled materials, as control is primarily limited to the stages of material pre-processing, injection, and post-process quality assurance (QA) testing. The lack of ‘live’ feedback and material monitoring within the mold hinders the ability to identify and address issues promptly.
Until now, the possibilities for gaining insight into material behavior were limited. Material suppliers are working diligently to enhance the quality of recycled content through meticulous sorting and cleaning processes. While this approach has yielded promising results thus far, the increasing demand for recycled materials is likely to render it difficult to maintain consistent high quality without taking any further measures.
Machine manufacturers are also actively developing technologies to improve the processing of recycled materials. Many of these solutions focus on controlling material volume and machine pressure to ensure consistent injection into the mold. However, once the material enters the mold cavity, monitoring and control becomes significantly more complex. Cavity pressure sensors offer some insights, but their effectiveness is limited to the early stages of the molding process, as they become less sensitive once the initial plastic layer solidifies (frozen skin).
The European Green Deal is reshaping the industrial landscape with its aim to transform the European Union into a climate-neutral and resource-efficient economy by 2050. At the core of this transformation is the goal of achieving a circular economy, which prioritizes recycling, reuse, and waste reduction. For plastics processors, this means a fundamental shift towards eco-friendly production practices, from designing products for recyclability to increasing their use of recycled materials.
The Green Deal has far-reaching implications, including stricter environmental reporting requirements like those mandated by the Corporate Sustainability Reporting Directive (CSRD).
Beyond reporting, the Green Deal emphasizes circularity. Consider the automotive industry with the upcoming End-of-Life Vehicle (ELV) regulations that, among other things, require at least 25% of the plastics used in vehicles to come from recycled sources, with 25% of this amount coming from closed-loop recycling.
This push for a more circular economy will inevitably impact the plastics industry, creating both challenges and opportunities. As the demand for recycled plastics grows, processors will need to adapt their operations to handle alternative material streams and ensure the quality of final products. Even if they are forced to use materials with certain quality fluctuations due to the availability of recycled materials.
sensXPERT Digital Mold, a technology from NETZSCH Process Intelligence GmbH, offers an advanced solution that combines sensor data, machine parameters, material science and machine learning to continuously monitor and control plastics production processes. Key features include real-time anomaly detection and dynamic process adjustments. These capabilities ensure that deviations in material behavior are detected immediately and countermeasures can be taken, maintaining consistent final product quality. sensXPERT is a solution that acts as a central unit to bundle pressure/temperature/dielectric sensor data, machine parameters and material science and supports the customer as a co-pilot.
For plastics processors, the technology improves production efficiency by minimizing defects and reject rates, ensuring consistent part quality and providing comprehensive data transparency for regulatory compliance. As a result, recycled materials can be processed effectively.