不同宽度烟丝组合对卷烟物理指标及其综合稳定性的影响
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- 英文论文题名：Effects of Combination of Different Width Cut Tobacco on Cigarette Physical Indexes and its Comprehensive Stability
- 论文作者：赵佳成 ; 高辉 ; 杨洋 ; 焦俊 ; 崔宇翔 ; 高占勇 ; 马晓龙 ; 杨晶津 ; 王慧
- 英文论文作者：ZHAO Jiacheng ; GAO Hui ; YANG Yang ; JIAO Jun ; GAO Zhanyong ; MA Xiaolong ; YANG Jingjin ; WANG Hui ; Hongyun-honghe Tobacco (Group) Co. ; Ltd. ; Yunnan Tong-chuang Technology Analysis Co. ; Ltd.
- 年：2016
- 作者机构：红云红河烟草(集团)有限责任公司;云南同创检测技术股份有限公司;
- 论文关键词：烟丝宽度组合 ; 烟支物理指标 ; 综合稳定性 ; 方差分析 ; 主成分分析 ; 聚类分析
- 英文论文关键词：combination of cut tobacco width ; cigarette physical index ; comprehensive stability ; variance analysis ; principal component analysis ; cluster analysis
- 会议召开时间：2016-12-01
- 会议录名称：中国烟草学会2016年度优秀论文汇编——烟草工业主题
- 语种：中文
- 分类号：TS452
- 学会代码：ZGYG
- 学会名称：中国烟草学会
- 页数：11
- 文件大小：885k
- 原文格式：D
摘要
分析不同宽度烟丝组合对卷烟物理指标及其综合稳定性的影响规律,以期为分组加工过程中不同模组叶丝宽度组合的优化提供数据支撑,提升卷烟精细化加工水平。以进行分组加工(薄板模组和气流模组)的卷烟配方叶组为试验材料,每个模组分别设定3种切丝宽度并进行正交试验设计(2因素3水平),最终共产生9种不同宽度烟丝组合的试验烟支样品。利用方差分析和多重比较对不同试验烟支的各项物理指标(重量、圆周、长度、总通风率、硬度和吸阻)进行差异性分析,并利用主成分分析法对不同试验烟支的物理指标综合稳定性进行了评价,最后利用聚类分析对不同试验烟支物理指标的差异性进行了验证。结果表明:(1)不同宽度烟丝组合的烟支各项物理指标均存在显著性差异;(2)随着烟丝宽度的增加,烟支的单支重量、总通风率及其物理指标综合稳定性系数呈逐渐降低的变化趋势;(3)不同宽度烟丝组合的烟支样品可以聚为三类,聚类的分界点主要体现在薄板丝宽度的差异上;(4)该规格卷烟薄板模组和气流模组的切丝宽度分别为0.95 mm时,组合后的烟支物理指标整体表现相对最优。
The aim was to analyze the influence law of combination of different width cut tobacco on cigarette physical indexes and its comprehensive stability, providing important references for optimization of combination of cut tobacco width of different modules in the grouping processing and further improving the level of fine processing of cigarette. Tobacco formulation of grouping processing(sheet module and airflow module) as test material, every tobacco formulation was respectively set three kinds of cutting width and designed orthogonal experiment(two factors and three levels). Nine kinds of cigarettes of combination of different width cut tobacco were produced. Physical indexes(weight, circumference, length, total ventilation rate, hardness and draw resistance) of different test cigarette were analyzed by using the method of variance analysis and multiple comparison. The comprehensive stability of cigarette physical indexes was evaluated using principal component analysis. In the end, the difference of physical indexes of different test cigarette was verified using cluster analysis. The results showed that.(1) There were significant differences for each physical index of different test cigarettes.(2) Cigarette weight, total ventilation rate and comprehensive stability coefficient of cigarette physical indexes were gradually decreasing with the increase of cut tobacco width.(3) Cigarette samples of combination of different width cut tobacco could be clustered into three groups. Cutoff point of clustering mainly embodied in difference of width of sheet cut tobacco.(4) For formulation leaf group of the specification cigarette, overall performance of cigarette physical indexes was the best when the cutting width of sheet module and airflow module was all 0.95 mm.
The aim was to analyze the influence law of combination of different width cut tobacco on cigarette physical indexes and its comprehensive stability, providing important references for optimization of combination of cut tobacco width of different modules in the grouping processing and further improving the level of fine processing of cigarette. Tobacco formulation of grouping processing(sheet module and airflow module) as test material, every tobacco formulation was respectively set three kinds of cutting width and designed orthogonal experiment(two factors and three levels). Nine kinds of cigarettes of combination of different width cut tobacco were produced. Physical indexes(weight, circumference, length, total ventilation rate, hardness and draw resistance) of different test cigarette were analyzed by using the method of variance analysis and multiple comparison. The comprehensive stability of cigarette physical indexes was evaluated using principal component analysis. In the end, the difference of physical indexes of different test cigarette was verified using cluster analysis. The results showed that.(1) There were significant differences for each physical index of different test cigarettes.(2) Cigarette weight, total ventilation rate and comprehensive stability coefficient of cigarette physical indexes were gradually decreasing with the increase of cut tobacco width.(3) Cigarette samples of combination of different width cut tobacco could be clustered into three groups. Cutoff point of clustering mainly embodied in difference of width of sheet cut tobacco.(4) For formulation leaf group of the specification cigarette, overall performance of cigarette physical indexes was the best when the cutting width of sheet module and airflow module was all 0.95 mm.
引文
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[19]陆龙建,陈磊,余苓,等.多元因子分析在卷烟风格特征剖析中的应用[J].烟草科技,2012(10):36–40.
[20]赵华武,贺帆,李祖良,等.基于主成分分析法的烤烟香气品质评价模型构建[J].西北农业学报,2012,21(2):88–93.
[2]卢彦华,于录.分组加工工艺过程研究[J].烟草科技,2008(1):12–15.
[3]魏玉玲,阴耕耘,李绍臣,等.几个重要制丝工序对烤烟烟丝填充值和碎丝率的影响[J].云南大学学报(自然科学版),2010,32(S1):183–186.
[4]林平,陈良元.叶丝在线膨胀工艺参数与填充能力的关系研究[J].烟草科技,1998(6):5–6.
[5]于存峰,于录,杨雷,等.模块加工中叶丝宽度组合对卷烟质量的影响[J].烟草科技,2011(6):9–11.
[6]姚光明,王文辉,尹献忠,等.烟丝结构对烟丝填充值和卷接质量的影响[J].郑州轻工业学院学报(自然科学版),2003,18(4):62–64.
[7]姚光明,李晓,尹献忠,等.烟丝整丝率变化率对卷烟卷接质量的影响[J].烟草科技,2004(11):3–6.
[8]堵劲松,申晓锋,李跃锋,等.烟丝结构对卷烟物理指标的影响[J].烟草科技,2008(8):8–13.
[9]申晓锋,李华杰,王锐亮,等.烟丝结构与卷烟单支重量和烟支密度及其稳定性的灰色关联分析法[J].中国烟草学报,2009,15(6):23–26.
[10]李善莲,申晓锋,李华杰,等.烟丝结构对卷烟端部落丝量的影响[J].烟草科技,2010(2):5–7.
[11]刘德强,贾洋,王乐军,等.烟丝结构对烟支卷制质量的影响[J].安徽农业科学,2010,38(32):18589–18590.
[12]刘彦,朱海军,杨蕾,等.烟支物理指标对卷烟烟气中挥发性有机化合物主侧流分配比的影响[J].烟草科技,2013(2):35–39.
[13]石凤学,王浩雅,张涛,等.卷烟感官质量与烟气成分、烟支物理指标、化学成分间的相关性[J].南方农业学报,2013,44(3):486–492.
[14]吴志英,李力,李东亮,等.卷烟单支重量、吸阻、通风率与感官质量的关系分析[J].中国烟草科学,2010(2):49–53.
[15]汪显国,申晓锋,刘泽,等.基于主成分分析法的烟丝加香均匀性评价[J].中国烟草学报,2013,19(5):33–42.
[16]马京民,刘国顺,时向东,等.主成分分析和聚类分析在烟叶质量评价中的应用[J].烟草科技,2009(7):57–60.
[17]李国栋,胡建军,周冀衡,等.基于主成分和聚类分析的烤烟化学品质综合评价[J].烟草科技,2008(12):5–9.
[18]齐延鹏,何蓉,黄治,等.主成分分析法在配丝机配丝均匀性评价中的应用[J].烟草科技,2010(7):5–7.
[19]陆龙建,陈磊,余苓,等.多元因子分析在卷烟风格特征剖析中的应用[J].烟草科技,2012(10):36–40.
[20]赵华武,贺帆,李祖良,等.基于主成分分析法的烤烟香气品质评价模型构建[J].西北农业学报,2012,21(2):88–93.
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