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时间:2020-04-22
《基于TPS法的烟叶热物性测试及其导热系数预测模型的建立-论文.pdf》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、河南农业科学,2O14,43(2):155~160JournalofHenanAgrieulturalSciences基于TPS法的烟叶热物性测试及其导热系数预测模型的建立林慧,堵劲松,李’斌,朱文魁¨,杨得强(1.郑州烟草研究院烟草工艺重点实验室,河南郑州450001;2.江西中烟工业有限责任公司南昌卷烟厂,江西南昌330096)摘要:为了准确获取烟叶热物性参数,指导实际烟叶初烤等加工过程工艺参数优化,采用瞬态平面热源法(TPS)对不同含水率及温度条件下的烟丝热物性参数进行了测试分析,并根据测试结果建立了烟叶导热系数的
2、预测模型。结果表明:TPS法可较好地用于烟叶类生物质含湿多孔介质热物性分析,测试精密度较高;在25~65℃、12.5~22.5含水率条件下,烟丝导热系数随生物质含湿多孔介质的温度、含水率升高呈增大趋势,体积热容变化与之类似;烟丝导热系数预测模型可较准确地反映堆积烟丝导热系数与温度、含水率的关系,模型预测值与实测值具有良好的线性相关性,相.关系数为0.992,最大偏差不超过4.46。关键词:烟叶;热物性;导热系数;预测模型;TPS法中图分类号:TS44文献标志码:A文章编号:1004—3268(2014)02—0155—0
3、6ThermalPropertiesMeasuringofTobaccoLeavesBasedonTPSMethodandConstructionofThermalConductivityModelLINHui,DUJin-song,LIBin,ZHUWen-kui,YANGDe-qiang2(1.KeyLaboratoryofTobaccoProcessing,ZhengzhouTobaccoResearchInstitute,Zhengzhou450001,China2.NanchangCigaretteFactor
4、y,ChinaTobaccoJiangxiIndustrialCo.,Ltd.,Nanchang330096,China)Abstract:Forthepurposeofgettingthermalpropertiesinanefficientandaccuratewayandapplyingthemeasuringdatatotheactualheatprocessing。thethermalpropertiesoftobaccolearwereinvestigatedbasedonTPSmethod.andapred
5、ictionmodelofthermalconductivitywasdevelopedtocharacterizetherelationshipbetweenthermalconductivityandtemperature,moisturecontent,stackingstates.Thermalpropertiesofcuttobaccoweremeasuredwithinthetemperaturerangeof25—65℃andthemoisturecontentrangeof12.5一22.5.Theres
6、ultsofmultiplefactor"varianceanalysisshowedthattempera-ture.moisturecontentaswellastheirinteractionhadsignificantefectonthethermalconductivityandvolumetricheatcapacity.Thermalconductivityofcuttobaccoincreasedwithincreasingtemperatureandmoisturecontent.Theeffectof
7、moisturecontentWfl$moresignificantathighertemperaturelevels.Volu-metricheatcapacityshowedasimiliartrend.Therewasagoodlinearcorrelationbetweenthepredictedandmeasuredvaluesofthermalconductivity,withthecorrelationeoefficientof0.992andthemaximumdeviationlessthan4.46,
8、whichindicatedthevalidityofthermalconductivitypredictionmode1.Keywords:tobaccoleaves;thermalproperties;thermalconductivity;predictionmodel;transientplanesource
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