March 31st 2025 - Simulating Dynamic Thermal Conditions in Fast-Batch Reactors
Introducing the first in a series of white papers by Dr. Benjamin J. Deadman, focusing on the groundbreaking PI QFlux® system—a major advancement in fast-batch reactor technology. This installment highlights its superior thermal performance, which enhances productivity and selectivity in chemical processing.
To support this innovation, ReactorPy, a Python-based modeling tool, has been developed to simulate dynamic thermal conditions, enabling precise control and optimization of reactor performance.
Future papers will delve deeper into reaction kinetics and volume modifications, further unlocking the full potential of the PI QFlux® system.
Dr. Benjamin Deadman
Ben has over 15 years of experience in the application and development of enabling technologies for the study of chemical reaction processes.
Specialising in:
- High-Throughput Experimentation (HTE)
- Flow Chemistry
- Reaction Analysis
- Design of Experiments (DOE) for chemistry research
To View the White Paper down fill in the Form below
October 2022 - An Introduction to the PI Q-Flux Batch Reactor System
See this white Paper in Heat Exchanger World - here
Or use the link to download the pdf, or see the full article below