工业生产中爆炸事故往往是由多元可燃气体与空气混合后遇到明火而引起的,为研究乙烷(C 2 H 6)、乙烯(C 2 H 4)、一氧化碳(CO)、氢气(H 2)对甲烷爆炸特性的影响,选取多组分可燃气体甲烷爆炸压力特性和自由基发射光谱的影响进行研究,利用...工业生产中爆炸事故往往是由多元可燃气体与空气混合后遇到明火而引起的,为研究乙烷(C 2 H 6)、乙烯(C 2 H 4)、一氧化碳(CO)、氢气(H 2)对甲烷爆炸特性的影响,选取多组分可燃气体甲烷爆炸压力特性和自由基发射光谱的影响进行研究,利用陕西省工业过程安全与应急救援工程技术研究中心重点实验室搭建的多功能球形气体/粉尘爆炸实验装置和单色仪进行爆炸实验测试,同步采集时间—压力曲线、中间产物(OH,CH 2 O)的发射光谱信号,考察多组分可燃气体浓度对甲烷爆炸压力特性和中间产物的影响。结果表明:在富氧状态下,多组分可燃气体加剧了甲烷—空气混合体系的爆炸剧烈程度,随着体系中氧气含量的减少、由富氧状态变为贫氧状态、促进作用逐渐减弱转变为阻尼作用,爆炸压力特性与中间产物发射光谱参数的影响规律基本保持一致,均呈高度正相关;多元混合体系爆炸剧烈程度越大,自由基发射光谱达到峰值的速度越快,自由基更早、更快的积累是加剧爆炸程度的原因之一。展开更多
This paper presents a new approach to the on-line tracking of pulverized coal and biomass fuels through flame spectrum analysis.A flame detector containing four photodiodes is used to derive multiple signals covering ...This paper presents a new approach to the on-line tracking of pulverized coal and biomass fuels through flame spectrum analysis.A flame detector containing four photodiodes is used to derive multiple signals covering a wide spectrum of the flame from visible,near-infrared and mid-infrared spectral bands as well as a part of far-infrared band.Different features are extracted in time and frequency domains to identify the dynamic "fingerprints" of the flame.Fuzzy logic inference techniques are employed to combine typical features together and infer the type of fuel being burnt.Four types of pulverized coal and five types of biomass are burnt on a laboratory-scale combustion test rig.Results obtained demonstrate that this approach is capable of tracking the type of fuel under steady combustion conditions.展开更多
文摘工业生产中爆炸事故往往是由多元可燃气体与空气混合后遇到明火而引起的,为研究乙烷(C 2 H 6)、乙烯(C 2 H 4)、一氧化碳(CO)、氢气(H 2)对甲烷爆炸特性的影响,选取多组分可燃气体甲烷爆炸压力特性和自由基发射光谱的影响进行研究,利用陕西省工业过程安全与应急救援工程技术研究中心重点实验室搭建的多功能球形气体/粉尘爆炸实验装置和单色仪进行爆炸实验测试,同步采集时间—压力曲线、中间产物(OH,CH 2 O)的发射光谱信号,考察多组分可燃气体浓度对甲烷爆炸压力特性和中间产物的影响。结果表明:在富氧状态下,多组分可燃气体加剧了甲烷—空气混合体系的爆炸剧烈程度,随着体系中氧气含量的减少、由富氧状态变为贫氧状态、促进作用逐渐减弱转变为阻尼作用,爆炸压力特性与中间产物发射光谱参数的影响规律基本保持一致,均呈高度正相关;多元混合体系爆炸剧烈程度越大,自由基发射光谱达到峰值的速度越快,自由基更早、更快的积累是加剧爆炸程度的原因之一。
基金Supported by the Key Program of the National Natural Science Foundation of China(60534030)
文摘This paper presents a new approach to the on-line tracking of pulverized coal and biomass fuels through flame spectrum analysis.A flame detector containing four photodiodes is used to derive multiple signals covering a wide spectrum of the flame from visible,near-infrared and mid-infrared spectral bands as well as a part of far-infrared band.Different features are extracted in time and frequency domains to identify the dynamic "fingerprints" of the flame.Fuzzy logic inference techniques are employed to combine typical features together and infer the type of fuel being burnt.Four types of pulverized coal and five types of biomass are burnt on a laboratory-scale combustion test rig.Results obtained demonstrate that this approach is capable of tracking the type of fuel under steady combustion conditions.
