Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation

Various digital image correlation (DIC) techniques have been introduced in the past to solve the limited field-of view (FOV) problem for large deformation measurement. However, these methods share a common limitation which is low FOV. In this research, a novel two-dimensional scanner-based digital i...

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Main Author:	Pang, Goh Ching
Format:	Thesis
Language:	English
Published:	2017
Subjects:	T Technology TJ1-1570 Mechanical engineering and machinery
Online Access:	http://eprints.usm.my/46570/1/Analysis%20Of%20Large%20In-Plane%20Displacement%20And%20Strain%20In%20Rubber%20Using%202-D%20Scanner-Based%20Digital%20Image%20Correlation.pdf
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spelling	my-usm-ep.465702021-11-17T03:42:17Z Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation 2017-03 Pang, Goh Ching T Technology TJ1-1570 Mechanical engineering and machinery Various digital image correlation (DIC) techniques have been introduced in the past to solve the limited field-of view (FOV) problem for large deformation measurement. However, these methods share a common limitation which is low FOV. In this research, a novel two-dimensional scanner-based digital image correlation (2-D SB-DIC) method that enables the acquisition of a large FOV of an unfilled natural rubber (uNR) specimen at large deformation has been developed. The images were scanned and processed to obtain displacement, strain, load and stress data. The displacement data were obtained by using the incremental image correlation algorithm. The mean of the tangent and secant moduli of the uNR specimen obtained from the 2-D SB-DIC method from five repeated experiments were compared with those obtained from a universal testing machine (UTM). A new algorithm for mapping large deformation in the uNR specimens in a single-step without the need for a series of deformation images has also been developed. The axial strains obtained by using the proposed single-step 2-D SB-DIC algorithm were compared with those obtained using the conventional incremental image correlation algorithm. Non-homogeneous strain distribution tests were also conducted by analysing the deformation of two rectangular rubber specimens containing circular and square holes using the single-step 2-D SB-DIC algorithm. The resultant strain maps for the ; specimens were compared with those from finite element modelling (FEM). The Young‟s moduli obtained by using the incremental 2-D SB-DIC algorithm showed maximum absolute errors of 9.5% at 250% axial strain and 4.2% at 50% axial strain in tangent modulus and secant modulus, respectively. Meanwhile the maximum deviation of the Poisson‟s ratio based on engineering strain and true strain up to the threshold value of incompressibility behaviour for polymeric material are only 1.36% and 1.24%, respectively. A maximum absolute deviation of 10.7% at axial strains of 320% was found by using the proposed single-step 2-D SB-DIC algorithm. For the non-homogeneous strain distribution tests, the comparison of the resultant strain maps showed that the proposed single-step algorithm coupled with the 2-D SB-DIC method can be used to map the strain accurately in large deformation materials like rubber. The single-step 2-D DIC algorithm eliminates the cumulative error introduced in the incremental 2-D DIC algorithm while reducing processing time in image acquisition and image correlation tremendously. 2017-03 Thesis http://eprints.usm.my/46570/ http://eprints.usm.my/46570/1/Analysis%20Of%20Large%20In-Plane%20Displacement%20And%20Strain%20In%20Rubber%20Using%202-D%20Scanner-Based%20Digital%20Image%20Correlation.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Mekanik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T Technology TJ1-1570 Mechanical engineering and machinery
spellingShingle	T Technology TJ1-1570 Mechanical engineering and machinery Pang, Goh Ching Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation
description	Various digital image correlation (DIC) techniques have been introduced in the past to solve the limited field-of view (FOV) problem for large deformation measurement. However, these methods share a common limitation which is low FOV. In this research, a novel two-dimensional scanner-based digital image correlation (2-D SB-DIC) method that enables the acquisition of a large FOV of an unfilled natural rubber (uNR) specimen at large deformation has been developed. The images were scanned and processed to obtain displacement, strain, load and stress data. The displacement data were obtained by using the incremental image correlation algorithm. The mean of the tangent and secant moduli of the uNR specimen obtained from the 2-D SB-DIC method from five repeated experiments were compared with those obtained from a universal testing machine (UTM). A new algorithm for mapping large deformation in the uNR specimens in a single-step without the need for a series of deformation images has also been developed. The axial strains obtained by using the proposed single-step 2-D SB-DIC algorithm were compared with those obtained using the conventional incremental image correlation algorithm. Non-homogeneous strain distribution tests were also conducted by analysing the deformation of two rectangular rubber specimens containing circular and square holes using the single-step 2-D SB-DIC algorithm. The resultant strain maps for the ; specimens were compared with those from finite element modelling (FEM). The Young‟s moduli obtained by using the incremental 2-D SB-DIC algorithm showed maximum absolute errors of 9.5% at 250% axial strain and 4.2% at 50% axial strain in tangent modulus and secant modulus, respectively. Meanwhile the maximum deviation of the Poisson‟s ratio based on engineering strain and true strain up to the threshold value of incompressibility behaviour for polymeric material are only 1.36% and 1.24%, respectively. A maximum absolute deviation of 10.7% at axial strains of 320% was found by using the proposed single-step 2-D SB-DIC algorithm. For the non-homogeneous strain distribution tests, the comparison of the resultant strain maps showed that the proposed single-step algorithm coupled with the 2-D SB-DIC method can be used to map the strain accurately in large deformation materials like rubber. The single-step 2-D DIC algorithm eliminates the cumulative error introduced in the incremental 2-D DIC algorithm while reducing processing time in image acquisition and image correlation tremendously.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Pang, Goh Ching
author_facet	Pang, Goh Ching
author_sort	Pang, Goh Ching
title	Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation
title_short	Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation
title_full	Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation
title_fullStr	Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation
title_full_unstemmed	Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation
title_sort	analysis of large in-plane displacement and strain in rubber using 2-d scanner-based digital image correlation
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Mekanik
publishDate	2017
url	http://eprints.usm.my/46570/1/Analysis%20Of%20Large%20In-Plane%20Displacement%20And%20Strain%20In%20Rubber%20Using%202-D%20Scanner-Based%20Digital%20Image%20Correlation.pdf
_version_	1747821687881072640

Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation

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