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雪茄烟叶物质组成与热分析燃烧特性的关系

Study on the relationship of Material Composition and Combustion Properties in Cigar Tobacco Leaves by Thermal Analysis

  • 摘要: 为探究雪茄烟叶物质组成与热分析燃烧特性的关系,进行了国内外常用产区的雪茄烟叶的物质组成分析,并测定了燃烧特征参数;通过相关性分析筛选出与燃烧特征参数显著相关的物质组成,并利用偏最小二乘(PLS)回归法建立其与燃烧特征参数间关系的多因素预测模型。结果表明:①茄衣烟叶的燃尽温度Tt、平均燃烧速率Ra、综合燃烧特性指数Z的集中度明显高于茄芯和茄套烟叶。②峰值温度Tmax与钾氯比、总糖、还原糖、钾含量极显著负相关;热分析残余质量Mt与氢、碳含量极显著负相关,与钾含量极显著正相关;综合燃烧特性指数Z与灰分、氯含量极显著负相关,与总糖、还原糖、氧含量、钾氯比极显著正相关。③峰值温度Tmax模型的拟合性和预测能力相对较弱,决定系数R2为0.52;热分析残余质量Mt模型和综合燃烧特性指数Z模型的拟合性和预测能力均较好,决定系数R2分别为0.75和0.79。

     

    Abstract: To investigate the effects of material composition on the combustion characteristics of cigar tobacco leaves by thermal analysis, the material composition and combustion characteristic parameters of cigar tobacco leaves were determined using thermal analysis techniques. Constituents significantly correlated with the combustion characteristic parameters were screened through correlation analysis, and prediction models for these parameters were established using partial least squares (PLS) regression. The results indicated that: 1)The concentration of burnout temperature (Tt), average combustion rate (Ra), and comprehensive combustion characteristic index (Z) in wrapper leaves was significantly higher than that in filler and binder leaves. 2)The peak temperature (Tmax) exhibited a highly significant negative correlation with the potassium-to-chlorine ratio, total sugars, reducing sugars, and potassium content. The residual mass from thermal analysis (Mt) showed a highly significant negative correlation with hydrogen and carbon content, but a highly significant positive correlation with potassium content.The comprehensive combustion characteristic index (Z) demonstrated a highly significant negative correlation with ash and chlorine content, whereas it showed a highly significant positive correlation with total sugars, reducing sugars, oxygen content, and the potassium-to-chlorine ratio. 3)The model for peak temperature (Tmax) exhibited relatively weaker goodness-of-fit and predictive capability, while the models for residual mass from thermal analysis (Mt) and the comprehensive combustion characteristic index (Z) both demonstrated satisfactory goodness-of-fit and predictive ability.

     

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