Tensile properties distribution of coir natural fiber using Weibull statistics

Time cited in Arcif : 
1

Joint Authors

Ulaywi, Jawad Kazim
Hashim, Ahmad Muzaffar

Source

Engineering and Technology Journal

Issue

Vol. 34, Issue 6A (30 Jun. 2016), pp.1080-1087, 8 p.

Publisher

University of Technology

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Chemistry
Botany

Topics

Abstract EN

In current time, most of the composites based on polymer resins reinforced with natural fibers than synthetic fibers for environmentally friendly consideration.

This work investigate the study of tensile properties distribution of coir natural fiber by using Weibull statistics to quantify the degree of variability in fiber strength.

Single-fiber tensile and microscopy tests were performed to determination the tensile properties (tensile strength and modulus of elasticity) and fiber crosssectional area respectively.

The experimental results showed that the coir natural fiber have a good tensile strength and modulus of elasticity of 89.91–237.46 MPa and 2.55-8.78 GPa respectively.

The Weibull distribution indicates that the coir natural fiber have a high degree of linearity of R2 = 0.942.

The Weibull modulus for corn fibers was β = 3.650 , gives a good variability in tensile strength.

American Psychological Association (APA)

Hashim, Ahmad Muzaffar& Ulaywi, Jawad Kazim. 2016. Tensile properties distribution of coir natural fiber using Weibull statistics. Engineering and Technology Journal،Vol. 34, no. 6A, pp.1080-1087.
https://search.emarefa.net/detail/BIM-696756

Modern Language Association (MLA)

Hashim, Ahmad Muzaffar& Ulaywi, Jawad Kazim. Tensile properties distribution of coir natural fiber using Weibull statistics. Engineering and Technology Journal Vol. 34, no. 6A (2016), pp.1080-1087.
https://search.emarefa.net/detail/BIM-696756

American Medical Association (AMA)

Hashim, Ahmad Muzaffar& Ulaywi, Jawad Kazim. Tensile properties distribution of coir natural fiber using Weibull statistics. Engineering and Technology Journal. 2016. Vol. 34, no. 6A, pp.1080-1087.
https://search.emarefa.net/detail/BIM-696756

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1086-1087

Record ID

BIM-696756