基于MIV的聚碳酸酯大气老化影响因子权重分析
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摘要
采用MIV(mean impact value)影响因子权重分析方法,以聚碳酸酯老化性能(色差、拉伸强度、断裂伸长率和弯曲强度)及相应的暴露时间、气候因素和环境因素数据为基础,以|MIV|值为评价依据,定量分析15种影响因子(暴露时间、温度、湿度、日照时数、降水量、风速、海盐离子浓度、SO2、HCl、NO2、H2S、硫酸盐化速率、NH3、非水溶性降尘量、水溶性降尘量)对聚碳酸酯老化性能影响的权重大小。结果表明:当MIV调节率从5%逐步递增至25%时,同种老化性能受同种影响因子的影响的权重变化不大,但老化性能对各影响因子的敏感度存在差异;气候因素和暴露时间对聚碳酸酯老化性能影响最大,环境因素中降尘量对聚碳酸酯老化性能影响较大;暴露时间是色差和断裂伸长率最主要影响因子,拉伸强度和弯曲强度受平均相对湿度影响最大。
The mean impact value(MIV)method which is an effective factor weight analysis method was used to quantitatively analyze the effect weight of 15 impact factors on the aging properties of polycarbonate(chromatic aberration,tensile strength,elongation at break,and bending strength)and the corresponding exposure time,climatic factors and environmental factors.The impact factors were exposure time,mean temperature,humidity,sunshine hours,precipitation,wind speed,sea salt ion,SO2,HCl,NO2,H2 S,sulfation rate,NH3,water soluble dust fall,and non-water soluble dust fall.The results show that with the regulation rate increasing from 15%to 25% gradually,for the certain aging property,the effect weight of certain impact factor change little,while the sensitivities of aging properties to various impact factors are different;the climatic factors and exposure time are the greatest factors influencing the aging properties of polycarbonate,among environmental factors,the influence of dust fall quantity on the aging properties is the largest;exposure time is the main impact factor influencing chromatic aberration and elongation at break,mean relative humidity has the greatest impact on tensile strength and bending strength.
The mean impact value(MIV)method which is an effective factor weight analysis method was used to quantitatively analyze the effect weight of 15 impact factors on the aging properties of polycarbonate(chromatic aberration,tensile strength,elongation at break,and bending strength)and the corresponding exposure time,climatic factors and environmental factors.The impact factors were exposure time,mean temperature,humidity,sunshine hours,precipitation,wind speed,sea salt ion,SO2,HCl,NO2,H2 S,sulfation rate,NH3,water soluble dust fall,and non-water soluble dust fall.The results show that with the regulation rate increasing from 15%to 25% gradually,for the certain aging property,the effect weight of certain impact factor change little,while the sensitivities of aging properties to various impact factors are different;the climatic factors and exposure time are the greatest factors influencing the aging properties of polycarbonate,among environmental factors,the influence of dust fall quantity on the aging properties is the largest;exposure time is the main impact factor influencing chromatic aberration and elongation at break,mean relative humidity has the greatest impact on tensile strength and bending strength.
引文
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[14]武田艳,占建军,严韦.基于MIV-BP型网络实验的房地产价格影响因素研究[J].数学的实践与认识,2015,45(18):43-50.WU T Y,ZHAN J J,YAN W.Research on influence factors of real estate price based on MIV-BP neural network test[J].Journal of Mathematics in Practice and Theory,2015,45(18):43-50.
[15]杨斌,李敬洋,文磊.基于MIV的碳钢大气腐蚀速率影响因子权重分析[J].北京航空航天大学学报,2018,44(8):1620-1628.YANG B,LI J Y,WEN L.Impact factor weight analysis of atmospheric corrosion rate of carbon steel based on MIV[J].Journal of Beijing University of Aeronautics and Astronautics,2018,44(8):1620-1628.
[16]聂铭,周冀衡,杨荣生,等.基于MIV-SVM的烤烟评吸质量预测模型[J].中国烟草学报,2014,20(6):56-62.NIE M,ZHOU J H,YANG R S,at al.MIV-SVM-based prediction model for smoking quality of flue-cured tobacco[J].Acta Tabacaria Sinica,2014,20(6):56-62.
[2] KUMAR A P,DEPAN D,TOMER N S,et al.Nanoscale particles for polymer degradation and stabilization—trends and future perspectives[J].Progress in Polymer Science,2009,34(6):479-515.
[3]高炜斌,韩世民,杨明娇,等.聚碳酸酯人工模拟气候加速老化[J].塑料,2014,43(2):100-102.GAO W B,HAN S M,YANG M J,et al.Polycarbonate under artificial simulation climate accelerated aging[J].Plastics,2014,43(2):100-102.
[4]赵阳阳,高建国,赵永仙.聚碳酸酯老化机理与研究方法进展[J].合成材料老化与应用,2012,41(1):48-54.ZHAO Y Y,GAO J G,ZHAO Y X.The advance in the research of aging mechanism and research methods of polycarbonate[J].Synthetic Materials Aging and Application,2012,41(1):48-54.
[5]王秀娟.二烯类橡胶及聚碳酸酯材料的老化性能分析及分子模拟研究[D].北京:北京化工大学,2016.WANG X J.Molecular simulation and aging property analysis of diene rubber and polycarbonate materials[D].Beijing:Beijing University of Chemical Technology,2016.
[6] PICKETT J E,GARDNER M M,GIBSON D A,et al.Global weathering of aromatic engineering thermoplastics[J].Polymer Degradation&Stability,2005,90(3):405-417.
[7]黄亚江,叶林,廖霞,等.复杂条件下高分子材料老化规律、寿命预测与防治研究新进展[J].高分子通报,2017(10):52-63.HUANG Y J,YE L,LIAO X,et al.The degradation behavior,service lifetime prediction and stabilization strategy of polymeric materials under complex condition[J].Polymer Bulletin,2017(10):52-63.
[8] WANG X J,ZHAO X Y,LI Q G,et al.Artificial neural network modeling and mechanism study for relaxation of deformed rubber[J/OL].Industrial&Engineering Chemistry Research,2016,55(14):doi:10.1021/acs.iecr.6b00010.
[9] PICKETT J E,GIBSON D A,GARDNER M M.Effects of irradiation conditions on the weathering of engineering thermoplastics[J].Polymer Degradation&Stability,2008,93(8):1597-1606.
[10] PICKETT J E,GIBSON D A,RICE S T,et al.Effects of temperature on the weathering of engineering thermoplastics[J].Polymer Degradation&Stability,2008,93(3):684-691.
[11] TJANDRAATMADJA G F,BURN L S,JOLLANDS M C.Evaluation of commercial polycarbonate optical properties after quva radiation the role of humidity in photodegradation[J].Polym Degrad Stab,2002,78:435-448.
[12]张晓东,陶友季,马坚,等.聚碳酸酯在不同湿热自然环境下的老化行为[J].塑料,2013,42(2):74-76.ZHANG X D,TAO Y J,MA J,et al.Degradation behavior of polycarbonate in different damp and heat natural environments[J].Plastics,2013,42(2):74-76.
[13]孙文彬,刘希亮,王洪斌,等.基于MIV的抛掷爆破影响因子权重分析[J].中国矿业大学学报,2012,41(6):993-998.SUN W B,LIU X L,WANG H B,et al.Weight analysis of cast blasting effective factors based on MIV method[J].Journal of China University of Mining&Technology,2012,41(6):993-998.
[14]武田艳,占建军,严韦.基于MIV-BP型网络实验的房地产价格影响因素研究[J].数学的实践与认识,2015,45(18):43-50.WU T Y,ZHAN J J,YAN W.Research on influence factors of real estate price based on MIV-BP neural network test[J].Journal of Mathematics in Practice and Theory,2015,45(18):43-50.
[15]杨斌,李敬洋,文磊.基于MIV的碳钢大气腐蚀速率影响因子权重分析[J].北京航空航天大学学报,2018,44(8):1620-1628.YANG B,LI J Y,WEN L.Impact factor weight analysis of atmospheric corrosion rate of carbon steel based on MIV[J].Journal of Beijing University of Aeronautics and Astronautics,2018,44(8):1620-1628.
[16]聂铭,周冀衡,杨荣生,等.基于MIV-SVM的烤烟评吸质量预测模型[J].中国烟草学报,2014,20(6):56-62.NIE M,ZHOU J H,YANG R S,at al.MIV-SVM-based prediction model for smoking quality of flue-cured tobacco[J].Acta Tabacaria Sinica,2014,20(6):56-62.