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考虑各向异性和温度效应的注塑成型碳纤维增强聚酰胺-6疲劳寿命预测

Fatigue Life Prediction for Injection-Molded Carbon Fiber-Reinforced Polyamide-6 Considering Anisotropy and Temperature Effects.

作者信息

Choi Joeun, Andrian Yohanes Oscar, Lee Hyungtak, Lee Hyungyil, Kim Naksoo

机构信息

Department of Mechanical Engineering, Sogang University, Seoul 04107, Republic of Korea.

Polymer R&D Team, GS Caltex R&D Center, Daejeon 34122, Republic of Korea.

出版信息

Materials (Basel). 2024 Jan 8;17(2):315. doi: 10.3390/ma17020315.

DOI:10.3390/ma17020315
PMID:38255484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10817244/
Abstract

The effects of anisotropy and temperature of short carbon fiber-reinforced polyamide-6 (CF-PA6) by the injection molding process were investigated to obtain the static and fatigue characteristics. Static and fatigue tests were conducted with uniaxial tensile and three-point bending specimens with various fiber orientations at temperatures of 40, 60, and 100 °C. The anisotropy caused by the fiber orientations along a polymer flow was calculated using three software connecting analysis sequences. The characteristics of tensile strength and fatigue life can be changed by temperature and anisotropy variations. A semi-empirical strain-stress fatigue life prediction model was proposed, considering cyclic and thermodynamic properties based on the Arrhenius equation. The developed model had a good agreement with an = 0.9457 correlation coefficient. The present fatigue life prediction of CF-PA6 can be adopted when designers make suitable decisions considering the effects of temperature and anisotropy.

摘要

研究了注射成型工艺制备的短碳纤维增强聚酰胺6（CF-PA6）的各向异性和温度对其静态和疲劳特性的影响。在40、60和100℃温度下，对具有不同纤维取向的单轴拉伸和三点弯曲试样进行了静态和疲劳试验。使用三个连接分析序列的软件计算了沿聚合物流动方向的纤维取向引起的各向异性。拉伸强度和疲劳寿命特性会因温度和各向异性变化而改变。基于阿伦尼乌斯方程，考虑循环和热力学特性，提出了一个半经验应变-应力疲劳寿命预测模型。所开发的模型与相关系数R = 0.9457具有良好的一致性。当设计人员在考虑温度和各向异性影响的情况下做出合适决策时，可采用本文提出的CF-PA6疲劳寿命预测方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/e4da248f3032/materials-17-00315-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/d0d4aee549e4/materials-17-00315-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/06d05a78aa99/materials-17-00315-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/e4da248f3032/materials-17-00315-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/910dc909cfa3/materials-17-00315-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/621efa73ec07/materials-17-00315-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/f344252f54db/materials-17-00315-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/8e759844191d/materials-17-00315-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/87a7f715338b/materials-17-00315-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/504155690e8f/materials-17-00315-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/f1e278c4b564/materials-17-00315-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/ee4868091b0d/materials-17-00315-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/d0d4aee549e4/materials-17-00315-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/06d05a78aa99/materials-17-00315-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed1/10817244/e4da248f3032/materials-17-00315-g012.jpg

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