CRC 1615: SMART Reactors

Reactors for Future Process Engineering

Welcome to the DFG Collaborative Research Center CRC 1615 SMART Reactors

We are facing the societal challenges of transforming economic and production chains from fossil raw materials to sustainable and renewable raw materials. However, these can fluctuate seasonally and geologically in their availability and quality. Society therefore urgently needs processes and reactors that can respond flexibly to fluctuating raw material properties. To enable such adaptation, a very high level of process control is required: pressures, temperatures, concentrations and dispersed phases must be monitored continuously and in situ in the reactors using suitable sensors.

As part of the Collaborative Research Center, we aim to address this issue and enable SMART reactors through basic research. In the future, the SMART reactors will convert sustainable renewable resources into different products (multi-purpose) in a more sustainable way and operate autonomously (self-adapting), which will lead to more resilient processes that are more transferable between scales and locations.

To achieve our vision, interdisciplinary collaboration between process engineering, materials science and electrical engineering with physicists, chemists, mathematicians and data scientists from Hamburg University of Technology and five research institutions enables the focusing of expertise and unique experimental facilities.

Within the framework of this website, we would like to give you an insight into the individual subprojects, publications related to the CRC, upcoming events and career opportunities within the Collaborative Research Center.

20.03.2024

New publication available online!

PhD candidate Julio Urizarna-Carasa, technomathematics student Leon Schlegel and Professor Daniel Ruprecht from the Institute for Mathematics at the Hamburg University of Technology have shared their latest results on numerical methods for the Maxey-Riley equations with Basset history term.

The paper presents a numerical approach based on finite difference, by adopting techniques by Koleva and Fazio and Janelli to cope with the issues of having an unbounded spatial domain. Convergence order and computational efficiency for particles of varying size and density of the polynomial expansion by Prasath et al., the finite difference schemes and a direct integrator for the MRE based on multi-step methods proposed by Daitche are compared.

Urizarna-Carasa, J., Schlegel, L., Ruprecht, D. (2024). Efficient numerical methods for the Maxey-Riley equations with Basset history term. arxiv.org/pdf/2403.13515.pdf

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