首页> 外文期刊>Journal of polymer engineering >Mechanical properties of potassium hydroxide- pretreated Christmas palm fiber-reinforced polyester composites: characterization study, modeling and optimization
【24h】

Mechanical properties of potassium hydroxide- pretreated Christmas palm fiber-reinforced polyester composites: characterization study, modeling and optimization

机译:氢氧化钾预处理的圣诞节棕榈纤维增强聚酯复合材料的机械性能:表征研究,建模和优化

获取原文
获取原文并翻译 | 示例
           

摘要

The mechanical properties of Christmas palm-reinforced polyester composite were improved by chemical modification of Christmas palm fibers through alkali treatment. An attempt was made in this investigation to identify the possibility of using potassium hydroxide as alkali solution. The fibers treated with potassium hydroxide aqueous solution at varying solution concentrations and soaking times were reinforced in a polyester matrix and tested for their mechanical properties. The physico-chemical interaction between the treated Christmas palm fiber and polyester matrix was characterized using scanning electron microscopy and X-ray diffraction. The surface modification of fibers improved the compatibility of fibers with polyester matrix, which, in turn, resulted in better mechanical properties. A nonlinear regression model was developed to predict the mechanical properties of the composites using response surface methodology. The better treatment conditions for optimum mechanical properties were determined using a heuristic optimization method called particle swarm optimization (PSO). The optimized value obtained using the PSO technique was validated through a confirmation test, and the result was found to be significant.
机译:通过碱处理对圣诞节棕榈纤维进行化学改性,可以改善圣诞节棕榈增强聚酯复合材料的机械性能。在该研究中试图确定使用氢氧化钾作为碱溶液的可能性。在不同的溶液浓度和浸泡时间下,用氢氧化钾水溶液处理过的纤维在聚酯基质中增强,并测试其机械性能。使用扫描电子显微镜和X射线衍射表征了处理过的圣诞节棕榈纤维和聚酯基质之间的物理化学相互作用。纤维的表面改性改善了纤维与聚酯基体的相容性,进而导致更好的机械性能。开发了非线性回归模型,以使用响应面方法预测复合材料的机械性能。使用启发式优化方法(称为粒子群优化(PSO))确定了最佳机械性能的更好处理条件。使用PSO技术获得的最佳值通过确认测试进行了验证,结果被认为是有意义的。

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