@article{GUO2026, 
author = {Hongze GUO and Xi CHEN and Hengyi YANG},
title = {Experimental study of the multi-factor coupling effect of coal dust explosion intensity based on Box-Behnken response surface},
year = {2026},
journal = {Explosion and Shock Waves},
volume = {46},
number = {8},
keywords = {coal dust explosion, explosion intensity, Box-Behnken experimental design, response surface methodology},
url = {https://www.sciopen.com/article/10.11883/bzycj-2025-0045},
doi = {10.11883/bzycj-2025-0045},
abstract = {Using the Box-Behnken experimental design method, the influence of multi-factor coupling effects on the intensity of coal dust explosion during the transient explosion reaction process was studied. Forty-five sets of explosion tests were carried out in a 20L spherical explosion test system, examining the macroscopic characteristics of the coal dust explosion intensity under the coupling effects of five factors: coal dust concentration (ρ), coal dust particle size (D), coal volatile matter (w), ignition energy (E), and ignition delay (td). The explosion process was monitored by measuring pressure changes, and the maximum explosion pressure (response value pmax) and the maximum explosion pressure rise rate (response value  p˙max) were determined from the pressure-time curve. The Design-Expert software was used to analyze the experimental results to establish a quadratic regression model for response values pmax and  p˙max, and the models were verified by four different methods. The results show that in the variance analysis, the coefficient of determination R2 for pmax and  p˙max is 0.9771 and 0.9258, respectively, indicating a good fit between the model and experimental data. The single factors with the greatest influence on the maximum explosion pressure (pmax) are ignition energy (E) and ignition delay (td), while the single factors with the greatest influence on the rise rate of the maximum explosion pressure ( p˙max) is coal dust particle size (D) and ignition delay (E). In the quadratic regression model, the significant two-factor interaction affecting pmax are ρD, ρE, ρtd, Dw, wE, wtd, and Etd, wheras the significant two-factor interaction affecting  p˙max are ρtd, Dw, Dtd, wtd, and Etd. Among these, ignition delay (td) plays a decisive role in response values pmax and  p˙max.}
}