Quantifying necking of rectangular tensile specimens using a mirror-based image analysis system

K. E. Yazzie; J. J. Williams; Nikhilesh Chawla

doi:10.1016/j.matlet.2012.01.138

Quantifying necking of rectangular tensile specimens using a mirror-based image analysis system

K. E. Yazzie, J. J. Williams, Nikhilesh Chawla

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

7 Scopus citations

Abstract

The cross-sectional area of a neck in a rectangular tensile specimen is not easily measured. In this paper, a technique for accurately quantifying instantaneous necking geometry of rectangular specimens, using a novel mirror setup and high speed camera, is discussed. The technique is non-contact and allows for the sides and front of the specimen to be imaged on one plane with one camera. For this study, a rectangular Sn tensile specimen was tested at 10 s ^{- 1}. DIC results and stress-strain behavior measured using the mirror fixture are briefly discussed.

Original language	English (US)
Pages (from-to)	243-246
Number of pages	4
Journal	Materials Letters
Volume	74
DOIs	https://doi.org/10.1016/j.matlet.2012.01.138
State	Published - May 1 2012

Keywords

Digital image correlation
Necking
Tension

ASJC Scopus subject areas

Materials Science(all)
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering

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10.1016/j.matlet.2012.01.138

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title = "Quantifying necking of rectangular tensile specimens using a mirror-based image analysis system",

abstract = "The cross-sectional area of a neck in a rectangular tensile specimen is not easily measured. In this paper, a technique for accurately quantifying instantaneous necking geometry of rectangular specimens, using a novel mirror setup and high speed camera, is discussed. The technique is non-contact and allows for the sides and front of the specimen to be imaged on one plane with one camera. For this study, a rectangular Sn tensile specimen was tested at 10 s - 1. DIC results and stress-strain behavior measured using the mirror fixture are briefly discussed.",

keywords = "Digital image correlation, Necking, Tension",

author = "Yazzie, {K. E.} and Williams, {J. J.} and Nikhilesh Chawla",

note = "Funding Information: The authors are grateful for the financial support for this work from the National Science Foundation Division of Materials Research—Metals Division (Drs. Alan Ardell, Bruce MacDonald, and Harsh Chopra, Program Directors).",

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AU - Yazzie, K. E.

AU - Williams, J. J.

AU - Chawla, Nikhilesh

N1 - Funding Information: The authors are grateful for the financial support for this work from the National Science Foundation Division of Materials Research—Metals Division (Drs. Alan Ardell, Bruce MacDonald, and Harsh Chopra, Program Directors).

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N2 - The cross-sectional area of a neck in a rectangular tensile specimen is not easily measured. In this paper, a technique for accurately quantifying instantaneous necking geometry of rectangular specimens, using a novel mirror setup and high speed camera, is discussed. The technique is non-contact and allows for the sides and front of the specimen to be imaged on one plane with one camera. For this study, a rectangular Sn tensile specimen was tested at 10 s - 1. DIC results and stress-strain behavior measured using the mirror fixture are briefly discussed.

AB - The cross-sectional area of a neck in a rectangular tensile specimen is not easily measured. In this paper, a technique for accurately quantifying instantaneous necking geometry of rectangular specimens, using a novel mirror setup and high speed camera, is discussed. The technique is non-contact and allows for the sides and front of the specimen to be imaged on one plane with one camera. For this study, a rectangular Sn tensile specimen was tested at 10 s - 1. DIC results and stress-strain behavior measured using the mirror fixture are briefly discussed.

KW - Digital image correlation

KW - Necking

KW - Tension

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SP - 243

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JO - Materials Letters

JF - Materials Letters

ER -

Quantifying necking of rectangular tensile specimens using a mirror-based image analysis system

Abstract

Keywords

ASJC Scopus subject areas

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