Experimental measurements and modeling of characteristic time scales in single iron particle ignition

TL;DR

This study combines advanced imaging and modeling to measure and predict the ignition times of single iron particles, crucial for optimizing metal-fuel combustion systems.

Contribution

It introduces a novel experimental approach and a validated kinetic model for accurately predicting iron particle ignition times under various conditions.

Findings

Identified three temperature plateaus corresponding to phase transitions in iron.

The model accurately predicts FeO pre-melting oxidation time, independent of oxygen concentration.

The model captures oxygen-dependent melting stages, aligning with experimental data.

Abstract

Recyclable metal fuels such as iron are promising carbon-free energy carriers for heat and power. In such systems, particle ignition characteristics strongly affect combustion efficiency and combustor stability, making them critical for burner and reactor design. However, predictive ignition modelling remains limited by the lack of time-resolved data for single-particle solid-phase oxidation and phase transitions. In this work, digital in-line holography combined with ultra-high-speed single-color pyrometry is used to resolve characteristic solid-phase oxidation times of spherical micron-sized iron particles burning in well-defined hot oxidizing environments. Three temperature plateaus are identified, corresponding to FeO melting, the {\gamma}-Fe to {\delta}-Fe transition, and Fe melting, from which pre-melting oxidation times and melting durations are extracted. An ignition model based on solid-phase iron oxidation kinetics following a parabolic rate law, coupled with external-oxygen-transport-limited description, is used to simulate these characteristic times. The model accurately captures the FeO-scale pre-melting oxidation time, which is nearly independent of oxygen concentration, while the FeO, {\gamma}-Fe to {\delta}-Fe, and Fe melting stages show strong oxygen-concentration dependence consistent with external-oxygen-transport-limited reaction rates. These measurements and simulations provide the first diameter-resolved dataset for FeO and Fe melting processes and show that this modelling framework can quantitatively predict characteristic times for single iron particles in metal-fuel applications.