WU Yingtao, RAO Boxuan, TANG Chenglong, et al. Numerical Study of the Effect of In-Cylinder Airflow Disturbances on Intermediate Species Sampling in the Rapid Compression Machine[J]. 2024, 58(8): 60-68.
DOI:
WU Yingtao, RAO Boxuan, TANG Chenglong, et al. Numerical Study of the Effect of In-Cylinder Airflow Disturbances on Intermediate Species Sampling in the Rapid Compression Machine[J]. 2024, 58(8): 60-68.DOI: 10.7652/xjtuxb202408007.
Numerical Study of the Effect of In-Cylinder Airflow Disturbances on Intermediate Species Sampling in the Rapid Compression Machine
The effect of in-cylinder airflow disturbances in the rapid compression machine on the species sampling accuracy remains unclear when fuel autoignition exhibits a negative temperature coefficient(NTC)effect. To solve this problem
this study establishes a numerical model for species sampling during fuel autoignition
and delves into the combined effect of NTC and airflow disturbances on the species sampling accuracy during the autoignition of a n-butane mixture
by controlling different piston crevice volumes to generate airflow disturbances of different intensities within the combustion chamber. The results show that due to the NTC effect of the fuel
both of the typical sampling methods exhibit a reverse dilution phenomenon
where the sampling concentration of the fuel is lower than expected
while that of intermediate species is higher than expected. This reverse dilution offsets the systematic errors of the sampling methods
resulting in a reduced sensitivity of the species sampling accuracy to airflow disturbances in the NTC region. Suppressing airflow disturbances within the combustion chamber is generally beneficial to the increase in the sampling accuracy. However
in an absolutely undisturbed flow field
the sampling error of the whole quenching method may even increase slightly due to the effect of the thermal boundary layer. This study provides valuable reference for the design of species sampling experiments and the uncertainty analysis of experimental data during fuel autoignition.
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