胶结橡胶材料杨氏模量推导解析方程的评定

IF 3.4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Z. Haji, S. Oyadiji, H. Samami, O. Farrell
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引用次数: 1

摘要

用解析或数值方法预测橡胶制品的振动响应主要依赖于预先确定的材料固有特性,如杨氏模量、阻尼系数和泊松比。这种内在特性是通过对粘合橡胶样品进行压缩试验来确定的。这种试样的压缩试验产生的表观杨氏模量在量级上大于橡胶的固有杨氏模量。因此,许多解析方程已被开发,以确定杨氏模量从粘结橡胶材料的表观杨氏模量。在这项工作中,通过实验测试评估了其中一些分析方程的适用性。该评估是基于使用拉伸试验和压缩试验方法对硫化丁腈橡胶(NBR70)样品进行的测试。用解析方程从黏合橡胶试样的压缩试验数据中得到的表观模量来确定本征杨氏模量。然后,将这些杨氏模量与从拉伸试验数据中得到的实际杨氏模量进行比较。结果表明,用解析方程得到的杨氏模量与实际的杨氏模量存在显著差异。关键词:粘结橡胶,准静态试验,形状因子,表观杨氏模量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Analytical Equations for the Derivation of Young’s Modulus of Bonded Rubber Materials
The prediction of the vibration response of rubber products by analytical or numerical method depends mainly on the predefined intrinsic material properties such as Young’s modulus, damping factor and Poisson’s ratio. Such intrinsic properties are determined experimentally by subjecting a bonded rubber sample to compression tests. The compression tests on such a sample yield an apparent Young’s modulus which is greater in magnitude than the intrinsic Young’s modulus of the rubber. As a result, many analytical equations have been developed to determine Young’s modulus from an apparent Young’s modulus of bonded rubber materials. In this work, the applicability of some of these analytical equations is assessed via experimental testing. The assessment is based on testing of vulcanized nitrile butadiene rubber (NBR70) samples using tensile test and compression test methods. The analytical equations are used to determine the intrinsic Young’s modulus from the apparent modulus that is derived from the compression test data of the bonded rubber samples. Then, these Young’s moduli are compared with the actual Young’s modulus that is derived from the tensile test data. The results show significant discrepancy between the Young’s modulus derived using the analytical equations and the actual Young’s modulus. Keywords—Bonded rubber, quasi-static test, shape factor, apparent Young’s modulus.
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来源期刊
CiteScore
8.60
自引率
0.00%
发文量
1
审稿时长
13 weeks
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