Modelling tensile properties of jute fibres

A. S. Virk; W. Hall; J. Summerscales

doi:10.1179/026708309X12578491814636

Modelling tensile properties of jute fibres

A. S. Virk, W. Hall, J. Summerscales^*

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Griffith University Queensland

Research output: Contribution to journal › Article › peer-review

Abstract

This short communication extends earlier modelling of the tensile strength and failure strain of jute technical fibres. A maximum likelihood estimate (MLE) model, a linear model and a natural logarithmic interpolation model (NLIM) are compared. The NLIM model is found to give superior predictions.

Original language	English
Pages (from-to)	458-460
Number of pages	0
Journal	Materials Science and Technology - London
Volume	27
Issue number	1
DOIs	https://doi.org/10.1179/026708309X12578491814636
Publication status	Published - Jan 2011

Keywords

Natural fibres
Jute
Tensile properties
Composites
Weibull statistics

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10.1179/026708309X12578491814636

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title = "Modelling tensile properties of jute fibres",

abstract = "This short communication extends earlier modelling of the tensile strength and failure strain of jute technical fibres. A maximum likelihood estimate (MLE) model, a linear model and a natural logarithmic interpolation model (NLIM) are compared. The NLIM model is found to give superior predictions.",

keywords = "Natural fibres, Jute, Tensile properties, Composites, Weibull statistics",

author = "Virk, {A. S.} and W. Hall and J. Summerscales",

year = "2011",

month = jan,

doi = "10.1179/026708309X12578491814636",

language = "English",

volume = "27",

pages = "458--460",

journal = "Materials Science and Technology - London",

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AU - Virk, A. S.

AU - Hall, W.

AU - Summerscales, J.

PY - 2011/1

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N2 - This short communication extends earlier modelling of the tensile strength and failure strain of jute technical fibres. A maximum likelihood estimate (MLE) model, a linear model and a natural logarithmic interpolation model (NLIM) are compared. The NLIM model is found to give superior predictions.

AB - This short communication extends earlier modelling of the tensile strength and failure strain of jute technical fibres. A maximum likelihood estimate (MLE) model, a linear model and a natural logarithmic interpolation model (NLIM) are compared. The NLIM model is found to give superior predictions.

KW - Natural fibres

KW - Jute

KW - Tensile properties

KW - Composites

KW - Weibull statistics

U2 - 10.1179/026708309X12578491814636

DO - 10.1179/026708309X12578491814636

M3 - Article

SN - 0267-0836

VL - 27

SP - 458

EP - 460

JO - Materials Science and Technology - London

JF - Materials Science and Technology - London

IS - 1

ER -

Modelling tensile properties of jute fibres

Abstract

Keywords

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