The adoption of advanced techniques featuring automation and digital intelligence is imperative for composites manufacturers to meet the growing demands for improved energy efficiency, environmental sustainability and product quality. Semi-empirical techniques such as kinetic modeling play a pivotal role in setting up such systems for optimizing production without compromising quality or escalating cost.

This webinar is aimed to elevate your understanding of kinetic models to unlock their full potential, empowering you to make informed decisions and extract valuable insights for your polymer processing and applications. With a history of over 50 years, kinetic models are a powerful tool for comprehending and predicting material behavior.

Join our expert scientists as they explain the process of creating, interpreting and applying these models, from the lab to the production floor. You'll gain insight into how kinetic models are used in the composite production process, as well as their limitations and why relying solely on kinetic models may not be sufficient to gain the process control now required.

This first masterclass gives the foundation for part two, where we look beyond kinetics and how to evaluate alternatives that challenge the status quo and enable innovative pathways to boost your production efficiency and improve sustainability.

Presented by:


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  • Decoding kinetic models: the core principles of kinetic models and how they wield immense power in optimizing your manufacturing processes
  • Application insights: strategic applications of kinetic models within polymer processing and unlocking new avenues for efficiency and performance enhancement in production
  • Navigating limitations: insights into the derivation process of kinetic models and how to navigate inherent limitations with confidence and clarity
  • 1708378253-2bc36a073c9b0d64
    Dr. Nicholas Ecke
    Application Engineer
    Dr. Nicholas Ecke has been a part of the Netzsch Process Intelligence GmbH team alongside Dr. Alexander Chaloupka since October 2022. He studied process and medical engineering at the Technical University of Munich and was a chief engineer for the chair of composite materials at the Technical University of Kaiserslautern. In 2021, he completed his doctorate in engineering and his dissertation was awarded the Oechsler Prize. The thesis dealt with methods and approaches for developing and designing tribological components made of plastics. As a sensXPERT, Dr. Nicholas Ecke ensures the smooth integration of an intelligent sensor technology, namely the sensXPERT Digital Mold, in customers' production processes worldwide.
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    Dr. Phil Gralla
    Data Scientist
    Dr. Phil Gralla joined the data science team at Netzsch Process Intelligence GmbH in 2022. He studied applied mathematics and pure mathematics at the University of Bremen and Clemson (US). In 2023, Dr. Gralla completed his doctorate in mathematics. During his time as a research fellow at the University of Bremen, Dr. Gralla worked on various industry projects and conducted research on process control and optimization. Since 2019, he has been developing algorithms; initially for image processing and now for the sensXPERT digital mold and pipe solution.
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