通过组合静态和动态有限元模拟准确预测层状复合材料薄片性能的增强型逆向工程方法

IF 3 Q2 MATERIALS SCIENCE, COMPOSITES
Mun-Young Hwang, Jeong Hun Park, Jongho Song, Soo Woong Hwang, Hun Hee Kang, Hyun Chul Lee
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引用次数: 0

摘要

本研究旨在确定层压复合材料结构中预浸料层的固有材料特性。层状结构的弹性模量是复合材料结构行为的主要决定因素,也是本次分析的重点。我们采用逆向工程技术对由顺序堆叠的预浸料组成的复合材料进行了评估。调查包括模拟复合材料在静态载荷下的行为,并进行模态分析以反映静态和动态条件。研究结果表明,结合拉伸和模态分析模拟得出的弹性模量值比单独拉伸模拟得出的弹性模量值具有更高的精确度。具体而言,E1(一块薄片的拉伸方向弹性模量)的最大预测误差从 1.17% 降至 0.28%,E2(一块薄片的横向方向弹性模量)的最大预测误差从 12.01% 降至 7.30%。包含制造误差差异的进一步模拟强调了精确 E2 分析的重要性。所提出的方法证明了对 E2 的更精确评估,凸显了其在增强复合材料设计的逆向工程过程中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Reverse-Engineering Method for Accurately Predicting Lamina Properties in Laminated Composites via Combined Static and Dynamic Finite Element Simulations
This study aims to ascertain the material characteristics that are intrinsic to the prepreg layer within a laminated composite structure. The elastic modulus of the lamina, a primary determinant of composite structural behavior, is the focal point of this analysis. This parameter has been assessed by employing reverse-engineering techniques on a composite composed of sequentially stacked prepregs. The investigation entailed simulating the behavior of the composite under static loads and conducting modal analyses to reflect both static and dynamic conditions. The findings indicate that the elastic modulus values derived from combined tensile and modal analysis simulations exhibit superior accuracy compared to those obtained through tensile simulation alone. Specifically, the maximum prediction error for E1 (the tensile-direction elastic modulus of one lamina sheet) decreased from 1.17% to 0.28%, and that of E2 (the transverse-direction elastic modulus of one lamina sheet) decreased from 12.01% to 7.30%. Further simulations incorporating fabrication error variances underscored the critical nature of precise E2 analysis. The proposed methodology evidenced a more accurate assessment of E2, underscoring its potential to enhance the reverse-engineering process in composite material design.
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来源期刊
Journal of Composites Science
Journal of Composites Science MATERIALS SCIENCE, COMPOSITES-
CiteScore
5.00
自引率
9.10%
发文量
328
审稿时长
11 weeks
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