【摘 要】
:
以共挤出技术为加工工艺,表层的增强材料选取短玻璃纤维(SGF),制备共挤出型(芯-表结构)木塑复合材料.分析了在芯层1 和芯层2 两种复合体系下,不同表层厚度(1.0mm、1.2mm
【机 构】
:
南京林业大学材料科学与工程学院,江苏南京210037南京林业大学材料科学与工程学院,江苏南京210037;SchoolofRenewableNaturalResourcesLouisianaState
论文部分内容阅读
以共挤出技术为加工工艺,表层的增强材料选取短玻璃纤维(SGF),制备共挤出型(芯-表结构)木塑复合材料.分析了在芯层1 和芯层2 两种复合体系下,不同表层厚度(1.0mm、1.2mm 及1.6mm)和表层填料含量(0wt%,10wt%,20wt%和30wt%和40wt%)对共挤出型芯-表结构木塑复合材料的弯曲性能和热膨胀性能的影响.结果 表明:(1)当表面为纯的HDPE时,在芯层1 和芯层2 两个复合体系中,表层越厚则复合材料的热膨胀系数(LTEC)越高,其热膨胀性能越差;当SGF 的加入量恒定时,其LTEC 随着表层厚度的增加而降低;(2)总的来说,当表层的弯曲模量比芯层小时,共挤出木塑复合材料的弯曲模量随着表层厚度的升高逐渐降低;当芯层的弯曲模量比表层低时,共挤出木塑复合材料的弯曲模量随表层厚度的降低而降低;(3)表层为SGF/HDPE 材料时,在芯层1 和芯层2 两个复合体系中,随着表层SGF的含量从0 增加到40%时,其弯曲性能呈显著性提高,LTEC 显著降低;(3)当表层的LTEC值比芯层大时,表层厚度的降低可以降低共挤出木塑复合材料的LTEC;当表层的LTEC 值小于芯层LTEC 时,共挤出木塑复合材料的LTEC 随表层厚度的增加而减少.
其他文献
从1950年的图灵测试到当红“棋手”AlphaGo,半个多世纪以来,人工智能一直是科学家们的研究热点。近几年,深度学习的迅猛发展推动了人工智能的大爆发,也带来了机器学习的
After more than a century of accelerated advances in voice communication technologies,people are no longer satisfied with just talking to someone over a lon
锂硫电池由于具有较高的理论比容量(~1675 mAh g-1)和理论能量密度(2600Whkg-1)而引起了研究者们极大的兴趣.但是:放电过程中产生的中间产物-多硫离子在电解液中容易溶解且
Green coordinated transmissions play an important role in development of the next-generation energy-and spectrum-efficient cellular heterogeneous networks(H
The existing proxy signcryption schemes based on bi-linear pairings were proved to be insecure in quantum computing environment.Lattices are characterized b
QoS Optimization is an important part of LTE SON,but not yet defined in the specification.We discusses modeling the problem of QoS optimization,improve the
This paper,due to the intrusion detection problem in Wireless Sensor Networks,proposes an intrusion detection model based on the Danger Theory instead of th
In the performance analysis of wireless networks,traffic load imbalance issue in the form of hot-spots has been studied extensively.It is caused by the unev
Based on synergetic theory,we propose a parallel multi-access selection algorithm in heterogeneous wireless net-works(HWN)scenario.The algorithm establishes
Spectrum sensing is a vital task in cognitive radio.In this paper,a new test statistic is constructed via the sample features; the probability density funct