Quantification of the heating rates of particles in laminar iron dust flames via a Multi-parameter diagnostics approach

The utilization of iron powder as a recyclable, carbon-free chemical energy carrier requires a fundamental understanding of flame stabilization mechanisms, which are governed by key parameters such as the particle heating rate. This study presents a novel experimental approach to quantify particle heating rates in laminar iron dust flames. By combining multi-planar Particle Image Velocimetry (MP-PIV) with simultaneous luminescence tomography, the instantaneous particle flow field and flame topology were reconstructed in three-dimensional space. This allowed for the precise determination of the pre-heating zone’s leading edge (PHZ) and the calculation of particle residence times between the leading edge of the pre-heating zone and the iso -surface of the maximum ensemble particle temperature. Combining this flow field data with spectrally resolved pyrometry measurements, mean particle heating rates were derived for iron dust flames with oxygen concentrations of 30 vol% and 40 vol%. The results reveal heating rates in the range of 3.1 × 10 5 K s −1 to 4.1 × 10 5 K s −1 , respectively. Oxygen enrichment was found to increase the maximum ensemble particle temperature, T p , m a x , from 2300 K to 2400 K. The presented dataset provides the first experimentally in-situ determined particle heating rates in a self-sustaining iron dust flame, serving as a crucial benchmark for the validation of numerical models describing particle group combustion effects.

Authors

Institutions

Publication Details

Journal
Fuel
Published
2026-06-27
DOI
https://doi.org/10.1016/j.fuel.2026.140491
Primary Topic
Combustion and Detonation Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantification of the heating rates of particles in laminar iron dust flames via a Multi-parameter diagnostics approach

Daoguan Ning, Tao Li, Benjamin Böhm, Andreas M. Dreizler et al.
Fuel
Combustion and Detonation Processes
article

Quantification of the heating rates of particles in laminar iron dust flames via a Multi-parameter diagnostics approach

Daoguan Ning, Tao Li, Benjamin Böhm, Andreas M. Dreizler, Thomas Krenn
article en

Abstract

The utilization of iron powder as a recyclable, carbon-free chemical energy carrier requires a fundamental understanding of flame stabilization mechanisms, which are governed by key parameters such as the particle heating rate. This study presents a novel experimental approach to quantify particle heating rates in laminar iron dust flames. By combining multi-planar Particle Image Velocimetry (MP-PIV) with simultaneous luminescence tomography, the instantaneous particle flow field and flame topology were reconstructed in three-dimensional space. This allowed for the precise determination of the pre-heating zone’s leading edge (PHZ) and the calculation of particle residence times between the leading edge of the pre-heating zone and the iso -surface of the maximum ensemble particle temperature. Combining this flow field data with spectrally resolved pyrometry measurements, mean particle heating rates were derived for iron dust flames with oxygen concentrations of 30 vol% and 40 vol%. The results reveal heating rates in the range of 3.1 × 10 5 K s −1 to 4.1 × 10 5 K s −1 , respectively. Oxygen enrichment was found to increase the maximum ensemble particle temperature, T p , m a x , from 2300 K to 2400 K. The presented dataset provides the first experimentally in-situ determined particle heating rates in a self-sustaining iron dust flame, serving as a crucial benchmark for the validation of numerical models describing particle group combustion effects.

FuelVol. 428
Technische Universität Darmstadt (DE)
Hessisches Ministerium für Wissenschaft und Kunst, Technische Universität Darmstadt
Openalex Percentile: Top 3%
Combustion and Detonation Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.