# UConnRCMPy: Python-based data analysis for rapid compression machines

## TL;DR

UConnRCMPy is an open-source Python toolkit that streamlines the processing of rapid compression machine data, enabling consistent analysis of ignition delay and thermodynamic conditions for combustion research.

## Contribution

It introduces a flexible, extensible Python package that standardizes RCM data analysis and facilitates reproducibility in combustion experiments.

## Key findings

- Improves consistency in RCM data processing
- Enables reproducible analysis workflows
- Supports multiple experimental data formats

## Abstract

The ignition delay of a fuel/air mixture is an important quantity in designing combustion devices, and these data are also used to validate chemical kinetic models for combustion. One of the typical experimental devices used to measure the ignition delay is called a Rapid Compression Machine (RCM). This paper presents UConnRCMPy, an open-source Python package to process experimental data from the RCM at the University of Connecticut. Given an experimental measurement, UConnRCMPy computes the thermodynamic conditions in the reaction chamber of the RCM during an experiment along with the ignition delay. UConnRCMPy implements an extensible framework, so that alternative experimental data formats can be incorporated easily. In this way, UConnRCMPy improves the consistency of RCM data processing and enables the community to reproduce data analysis procedures.