178
Views
5
CrossRef citations to date
0
Altmetric
Research Article

Physical and Mechanical Characterization of Several Varieties of Oil Palm Mesocarp Fibers Using Different Cross-Sectional Assumptions

, , ORCID Icon, , , & show all
Pages 175-191 | Published online: 20 May 2019
 

ABSTRACT

This study focuses on the characterization of plant fibers. Pressed Oil Palm Mesocarp Fibers (OPMFs) coming from different varieties (Dura, Tenera, and Pissifera) are subjected to a unitary tensile test. From the variation of strain energy, the Young’s modulus of these fibers is determined considering the evolution of the cross-section model and using Castigliano theorem. Then, we found the error made by considering first that cross-sections are circular constant and then elliptic constant. It is shown that the internal fibers have a Young’s modulus higher than those of the periphery. Moreover, the use of the real geometric model of the fiber (variable elliptical cross-section) in the search for the Young’s modulus of the fiber highlights an error that is made using the classical hypotheses encountered in the literature (circular and constant cross-section or elliptic and constant cross-section). The implementation of a Kawabata bending test also allowed us to determine the flexural modulus, the elastic recovery and the hysteresis of these OPMFs. Physical parameters such as density and linear density of OPMFs are also determined using gravimetric method.

摘要

本研究以植物纤维为研究对象. 对不同品种(杜拉、特内拉和雌鱼)的榨油棕榈中果皮纤维进行了单一拉伸试验. 从应变能的变化出发,结合截面模型的演化,利用卡斯蒂里亚诺定理,确定了纤维的杨氏模量. 然后,我们首先考虑横截面是圆常数,然后再考虑椭圆常数,发现了误差. 结果表明,纤维内部的杨氏模量高于边缘的杨氏模量. 此外,在寻找纤维的杨氏模量时使用了纤维的实际几何模型(可变椭圆截面),突出了使用文献中遇到的经典假设(圆形和恒定截面或椭圆和恒定截面)所产生的误差. 川端康成弯曲试验的实施也使我们能够测定这些油棕榈中果皮纤维的弯曲模量、弹性恢复率和滞后性. 采用重量法测定了油棕中果皮纤维的密度和线密度等物理参数.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.