Digitalization in plastics processing

Digitalization as a megatrend has long since begun, often insidiously and as a matter of course, but also often quickly but nevertheless feasible, hopefully never unexpected and overrunning!

Digitalization creates connections across industries, production, mobility, and every individual, regardless of company size, and opens enormous growth opportunities. At the same time, if the opportunities arising from digitalization are not seized and the risks not recognized, there is a danger of being overrun by the wave of digitalization.

When it comes to implementing digitalization, the challenges are often complex, multi-layered and vary greatly depending on individual circumstances Don’t let this complexity hold you back – get started right now!

With our expertise, we can guide you on your digital journey.

For plastics processing, compounding, injection molding or film extrusion, we will work with you to identify your requirements for sensor systems, select the appropriate instrumentation or develop a tailored solution for your individual request.

We will integrate sensor technology into your process and help you get it up and running.

Continuously collecting process data can significantly increase the efficiency, reliability and quality of processes and process results.

We can help you with selecting, implementing, and control!

When determining parameters for fatigue strength, we record not only force-displacement data but also standardized multi-value generating data such as temperature, hysteresis, crack initiation and crack propagation data. This data, along with the information on factors such as the process parameters, geometry, and conditioning/aging, is compiled in a digital test file and stored in full in a database.

In the case of plastics, we know very well how strongly individual aspects interact with each other due to our strong expertise regarding too of material, process and component expertise.

We apply this expertise to needs for suitable sensor technology and, if necessary, develop new, customized monitoring solutions.

For injection molding, for example, we combine experiment-based process modeling with simulation-driven virtual modeling of components and processes. To optimize processes, existing material and process data can be combined with data from simulations using suitable interfaces. Furthermore optimization or self-learning algorithms can be used.

We combine sound not artificial knowledge regarding material, process, and components with the new possibilities of digitalization!