Empirical prediction of maximum spreading factor of diesel/n-butanol droplets impacting heated substrates

This study experimentally investigates the maximum spreading behaviour of diesel/n-butanol binary fuel droplets impacting a heated substrate. The effects of n-butanol volume fraction, Weber number ( We = 13–66) and substrate temperature ( T w = 25–350 ℃) on droplet spreading behaviour are systematically analysed using high-speed imaging. The results show that the maximum spreading factor β max increases with increasing Weber number, indicating the dominant role of impact inertia during the spreading process. The addition of n-butanol enhances the early-stage spreading tendency by reducing surface tension, while the variation of fuel volatility and thermophysical properties may influence the spreading behaviour under elevated-temperature conditions. Accordingly, the spreading behaviour is further characterised by considering the combined influences of impact inertia and substrate temperature. A temperature-dependent empirical correlation incorporating the dimensionless temperature T* and Weber number is proposed to predict β max . The proposed correlation is established based on D80B20 droplets under the investigated conditions ( We = 13–66, T* =0–1.17), and the maximum deviation between predicted and experimental values is 5.28 %. Comparison with selected literature data shows relative errors within 8.7 %, indicating good consistency between the correlation and reported experimental results. These findings provide a reference for predicting β max of diesel/n-butanol (specifically D80B20) droplets under similar heated-wall conditions.

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Publication Details

Journal
Experimental Thermal and Fluid Science
Published
2026-10-29
DOI
https://doi.org/10.1016/j.expthermflusci.2026.111856
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00

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article

Empirical prediction of maximum spreading factor of diesel/n-butanol droplets impacting heated substrates

Lihang Bai, Yu Jiang, Zeyu Liu, Yulong Ji
Experimental Thermal and Fluid Science
Fluid Dynamics and Heat Transfer
article

Empirical prediction of maximum spreading factor of diesel/n-butanol droplets impacting heated substrates

Lihang Bai, Yu Jiang, Zeyu Liu, Yulong Ji
article en

Abstract

This study experimentally investigates the maximum spreading behaviour of diesel/n-butanol binary fuel droplets impacting a heated substrate. The effects of n-butanol volume fraction, Weber number ( We = 13–66) and substrate temperature ( T w = 25–350 ℃) on droplet spreading behaviour are systematically analysed using high-speed imaging. The results show that the maximum spreading factor β max increases with increasing Weber number, indicating the dominant role of impact inertia during the spreading process. The addition of n-butanol enhances the early-stage spreading tendency by reducing surface tension, while the variation of fuel volatility and thermophysical properties may influence the spreading behaviour under elevated-temperature conditions. Accordingly, the spreading behaviour is further characterised by considering the combined influences of impact inertia and substrate temperature. A temperature-dependent empirical correlation incorporating the dimensionless temperature T* and Weber number is proposed to predict β max . The proposed correlation is established based on D80B20 droplets under the investigated conditions ( We = 13–66, T* =0–1.17), and the maximum deviation between predicted and experimental values is 5.28 %. Comparison with selected literature data shows relative errors within 8.7 %, indicating good consistency between the correlation and reported experimental results. These findings provide a reference for predicting β max of diesel/n-butanol (specifically D80B20) droplets under similar heated-wall conditions.

Experimental Thermal and Fluid ScienceVol. 179
Dalian Maritime University (CN)
Ministry of Science and Technology of the People's Republic of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 19%
Fluid Dynamics and Heat Transfer
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