Dispersion of carbon nanotubes and carbon nanofibers is a crucial processing step in the production of polymer-based nanocomposites and poses a great challenge due to the tendency of nanofillers to agglomerate. One of the most effective methods for dispersion is the use of a three-roll mill, which is a well-established method and results in agglomerates below 5 µm. Nevertheless, this process is time-consuming and thus a limiting factor for industrial applications. Our aim was to establish an easy and efficient ultrasonic dispersion process, characterize the dispersion parameters, and compare both methods, ultrasonication and the three-roll mill. We applied rheological tests and analyzed the agglomerate sizes by an image fit of the microscopy images. All these analyses combined deliver a valuable set of information about the dispersion’s quality and, therefore, allows the improvement and further adaptation of the dispersion process.

The polymer melt temperature in the screw ante-chamber of an injection moulding machine influences a number of parameters during the polymer process and therefore the final product quality. For measurement of this temperature, a sensor must be non-invasive (because of the axial moved screw during the injection of the plasticized polymer into the mould) and withstand the high pressure (>1000 bar) and temperature (>200 °C) during the injection moulding process. It is well known that the temperature of the polymer melt in the screw ante-chamber is inhomogeneous, and for that reason the sensor system must be able to measure the temperature spatially resolved. Due to the fact that sound velocity is temperature dependent, we developed a non-invasive tomography system using the transit times of ultrasonic pulses along different sound paths for calculating the temperature distribution in a polymer melt. Simulation results and example experiments at a test measurement setup are shown. Moreover, different strategies for the ultrasonic probe design (buffer rods, generation of wide beam angle) are discussed. The results of the proposed system are important for the validation of numerical simulations, a better understanding of the plasticizing process and can be used for the input of a novel temperature control system.

Co-extrusion is a widely used processing technique for combining various polymers with different properties into a tailored multilayer product. Individual melt streams are combined in a die to form the desired shape. Under certain conditions, interfacial flow instabilities are observed; however, fundamental knowledge about their onset and about critical conditions in science and industry is scarce. Since reliable identification of interfacial co-extrusion flow instabilities is essential for successful operation, this work presents in situ measurement approaches using a novel co-extrusion demonstrator die, which is fed by two separate melt streams that form a well-controlled two-layer co-extrusion polymer melt flow. An interchangeable cover allows installation of an optical coherence tomography (OCT) sensor and of an ultrasonic (US) measurement system, where the former requires an optical window and the latter good direct coupling with the cover for assessment of the flow situation. The feasibility of both approaches was proven for a material combination that is typically found in multilayer packaging applications. Based on the measurement signals, various parameters are proposed for distinguishing reliably between stable and unstable flow conditions in both measurement systems. The approaches presented are well suited to monitoring for and systematically investigating co-extrusion flow instabilities and, thus, contribute to improving the fundamental knowledge about instability onset and critical conditions.

Unwanted inclusions in the plasticized polymer melt (unmelted granules, wear particles, dirt, gas,…) can reduce the visual and structural properties of the resulting injection molded part. We developed a non-invasive ultrasound based measurement system working in the high-pressure and high-temperature environment of polymer processing for the detection and classification of such inclusions. The system is installed between the heating barrel and nozzle of the injection molding machine and it is based on ultrasound transmission measurements during the injection of the polymer melt into the mold. The novel system shows reliable capability for the classification of the part quality before it is demolded. Furthermore, we can detect changes in the polymer melt temperature and density due to problems and/or alterations in the plasticization process or polymer raw material. The developed low-cost inspection system can be used for process monitoring, prediction of the final part quality and optimization of the plasticization parameters in scientific and industrial applications.