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雪茄烟典型表观燃烧缺陷及燃烧特性评价指数分析

Analysis of typical apparent combustion defects in cigars and development of combustion characteristic evaluation indexes

  • 摘要: 为了对雪茄烟表观燃烧质量进行评价,设计构建了雪茄烟燃烧特性测试系统,以安徽中烟工业有限责任公司5种不同的国产雪茄烟为样本,分析归纳了雪茄烟典型表观燃烧缺陷,并通过相关性分析和回归分析确定了表观燃烧质量评分与各项评价指标之间的关系。结果表明:①基于实验观测与归纳分析,将雪茄烟典型表观燃烧缺陷归纳为茄衣燃烧非同步推进缺陷、茄衣茄芯耦合燃烧缺陷及自熄式燃烧缺陷;②炭线最低蔓延速率是雪茄烟表观燃烧质量的主要评价指标,依据抽吸过程中炭线的蔓延状态,将表观燃烧质量划分为5个等级,并建立了相应的质量评分方法;③炭线最低蔓延速率和灰度值变异系数对雪茄烟表观燃烧质量评分影响显著,回归系数分别为0.76和−0.50。所构建的燃烧特性综合评价指数模型拟合效果良好,具有统计学意义,能够较好地评价雪茄烟样本表观燃烧质量。该研究为雪茄烟表观燃烧质量的通用性评价提供了理论参考。

     

    Abstract: To evaluate the apparent combustion quality of cigars, a test platform for cigar combustion characteristics was designed and established to investigate the combustion evolution of cigars during puffing, using five types of domestic cigars from China Tobacco Anhui Industrial Co., Ltd. as samples. An evaluation method for the apparent combustion quality of cigars was developed, and the correlations between the apparent combustion quality score and various evaluation indicators were quantified via correlation and regression analyses. The main research conclusions are summarized as follows: 1) Based on experimental observations and data analysis, typical apparent combustion defects of cigars are classified into three categories: asynchronous advancing defect of wrapper combustion, coupled combustion defect between wrapper and filler, and self-extinguishing combustion defect. 2) The minimum spread rate of char line serves as the core evaluation indicator for cigar apparent combustion quality, and the char line spreading behavior throughout puffing determines the grading of a cigar’s apparent combustion quality. 3) The minimum char line spread rate and coefficient of variation of grayscale value exert significant influences on the apparent combustion quality score, with regression coefficients of 0.76 and −0.50. The combustion characteristic evaluation index established using these two parameters can effectively assess cigar apparent combustion quality, with a coefficient of determination of 0.723 for the fitted regression equation.

     

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