...
首页> 外文期刊>Journal of Applied Polymer Science >Fatigue life prediction via the time-dependent evolution of linear and nonlinear mechanical parameters determined via Fourier transform of the stress
【24h】

Fatigue life prediction via the time-dependent evolution of linear and nonlinear mechanical parameters determined via Fourier transform of the stress

机译:通过傅里叶变换确定的线性和非线性机械参数的时间依赖性演化来疲劳寿命预测

获取原文
获取原文并翻译 | 示例

摘要

This study proposes a new concept for the lifetime prediction of solid polymers under mechanical fatigue. The time evolution of linear and nonlinear mechanical parameters was studied using polystyrene (PS), polymethylmethacrylate (PMMA), and styrene-acrylonitrile (SAN) samples in strain controlled (large amplitude) oscillatory shear (torsion). Higher harmonics of the stress were detected and quantified via Fourier transform (FT). Besides storage and loss modulus (G, G), the ratio of the third (I-3) harmonic over the fundamental one, I-1 (I-3/1), was analyzed. After an initial transient period (regime I), the three parameters (G, G, and I-3/1) linearly de/increase with the cycle number (N) (regime II) before failure onset (regime III) occurs. In regime II, the absolute values of the rates of change (derivative) of G, G, and I-3/1 (dG/dN, dG/dN, and dI(3/1)/dN) were correlated with the lifetime (N-f). An inverse proportionality between the rate of change and lifetime was found allowing better prediction while testing. (c) 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46634.
机译:该研究提出了一种新的概念,用于机械疲劳下固体聚合物的寿命预测。使用聚苯乙烯(PS),聚甲基丙烯酸甲酯(PMMA)和苯乙烯 - 丙烯腈(SAN)样品在应变控制(大振幅)振荡剪切(扭转)中研究了线性和非线性机械参数的时间越野。通过傅里叶变换(FT)检测和量化应力的更高谐波。除了储存和损耗模量(G,G)外,分析了基本一个,I-1(I-3/1)上的第三(I-3)谐波的比率。在初始瞬态时期(制度I)之后,在发生故障发生之前的循环编号(N)(制度II)之前,三个参数(g,g和i-3/1)线性地执行/增加。在制度II中,G,G和I-3/1(DG / DN,DG / DN和DI(3/1)/ DN)的变化率(衍生物)的绝对值与寿命相关(NF)。发现变化率和寿命之间的逆比例允许在测试时更好地预测。 (c)2018 Wiley期刊,Inc.J.Phill。聚合物。 SCI。 2018,135,46634。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号