大学化学2026，Vol.41Issue(1)：95-106,12.DOI:10.12461/PKU.DXHX202505005
数字化赋能自燃推进剂点火延迟时间的实验研究
Digitally Enhanced Measurement of Ignition Delay Time Measurement for Hypergolic Propellants
摘要
Abstract
Hypergolic propellants represent a predominant development direction in propulsion systems due to their ignition device-free characteristic,with ignition delay time serving as their primary performance metric.This study employed a custom-designed drop-test apparatus to examine the ignition characteristics between propellant fuel and high-concentration hydrogen peroxide oxidizer,while optimizing the experimental procedure through digital design.To overcome the challenge of processing extensive image data in ignition delay time measurement,we developed Python-based software incorporating the YOLOv8 deep learning algorithm.This implementation of image recognition technology enables precise analysis of propellant self-ignition delay time,facilitating efficient and accurate experimental data processing.Furthermore,integrating this innovative experimental approach into the"University Chemistry"curriculum has demonstrated significant enhancement in student engagement and learning motivation.关键词
自燃推进剂/落滴实验/点火延迟时间/深度学习/教学应用Key words
Hypergolic propellant/Droplet test/Ignition delay time/Deep Learning/Application in Teaching分类
社会科学引用本文复制引用
孔祥熙,贺明洋,凌益能,王辉,谢起贤,李柏力,任武荣..数字化赋能自燃推进剂点火延迟时间的实验研究[J].大学化学,2026,41(1):95-106,12.基金项目
航天工程大学金课工程项目三期——大学化学课程建设 （）
航天工程大学本科学科竞赛基金 （）
