Data article "A Dimensionless Modelling Approach to Axial Dispersion in An Automated Single-Screw Reactor"

This dataset supports research on flow behavior and mixing efficiency in continuous reactors handling highly viscous fluids. Specifically, it focuses on quantifying and modelling axial dispersion—an important factor affecting residence time distribution and reactor performance in such systems.

This repository contains the Python codes and processed datasets associated with the manuscript:

“A Dimensionless Modelling Approach to Axial Dispersion in an Automated Single-Screw Reactor.”

The repository includes:
-Python scripts for automated residence time distribution (RTD) analysis
-Model implementation and parameter estimation routines
-Differential evolution optimization scripts used for semi-empirical correlation fitting
-Post-processing scripts for dimensionless analysis and visualization
-Processed experimental datasets used for model development and validation
-Documentation describing data structure and workflow

The materials provided enable reproduction of the reported modelling framework, parameter optimization procedure, and figures presented in the manuscript.