摘要
为了解卷烟包灰与燃烧性能之间的关系,以48种卷烟为样本,以包灰值、灰度值、白度值为表征包灰性能的指标,以自由燃烧速度、锥高、实际可燃率为表征燃烧性能的指标,运用简单相关分析和多指标聚类分析法研究了两类指标间的关系。结果表明:1)白度值与自由燃烧速度、实际可燃率间分别呈极显著负相关和正相关关系,包灰值、灰度值与燃烧性能各项指标间的关系均不显著。2)类间样品的包灰与燃烧性能间存在明显关联性,表现为综合燃烧性能适中的卷烟综合包灰性能最好,自由燃烧速度过快时对包灰会性能有不利影响。卷烟包灰与燃烧性能之间存在密切的内在联系,适度控制燃烧速度有利于改善包灰性能。
In or[ 1]der to understand t he relationship between cigarette ash and combustion performance, 48 kinds of cigarettes were taken as samples, the ash value, gray value and whiteness value were taken as indicators to characterize the ash performance, and the free combustion speed, cone height and actual flammability rate were taken as indicators to characterize the combustion performance. The relationship between the two types of indicators was studied by simple correlation analysis and multi indicator cluster analysis. The results show that:1) The results of simple correlation analysis show that the whiteness value has a significant negative correlation and a positive correlation with the free combustion rate and the actual flammability rate respectively, and the relationship between the ash value, the gray value and the combustion performance is not significant.2) The cluster analysis results show that there is a significant correlation between the ash and combustion performance of the samples, which shows that the cigarette with moderate comprehensive combustion performance has the best comprehensive ash performance, and the free combustion speed has a negative impact on the ash performance. To sum up,there is a close internal relationship between cigarette ash and combustion performance, and proper control of combustion speed is conducive to improve the performance of cigarette ash.
作者
许艳冉
王建民
惠建全
穆林
刘舒畅
Xu Yanran;Wang Jianmin;Hui Jianquan;Mu Lin;Liu Shuchang(School of Food and Biological Engineering,Zhengzhou University of Light Industry,Henan Zhengzhou 450000;Technical Center of Guizhou Zhongyan Industry Co.,Ltd.,Guizhou Guiyang 550009)
出处
《云南化工》
CAS
2020年第3期45-49,共5页
Yunnan Chemical Technology
关键词
卷烟
燃烧性能
包灰性能
聚类分析
cigarettes
combustion performance
ash Performance
cluster analysis