Evaluation of Sample Preparation Importance for Digital Image Correlation during Cold Deformation

Autor: Tin Brlić, Ivan Jandrlić, Lorena Mrkobrada
Rok vydání: 2023
Předmět:
Zdroj: Defect and Diffusion Forum. 423:107-112
ISSN: 1662-9507
DOI: 10.4028/p-zr4a51
Popis: In this paper, tests were performed by monitoring changes of strain amounts and their distribution by digital image correlation during static tensile testing of steel. The influence of different combination of speckles application on the sample surface (white speckles on the black sample surface and black speckles on the white sample surface) during cold deformation of steel was tested with the non-contacting digital image correlation. Strain amounts obtained by digital image correlation analysis of tested samples, with white on black and black on white painted speckle patterns, were compared. Different analysis for determining and monitoring strain amounts, provided by digital image correlation software, were used in this paper. The strain amounts were compared during cold deformation until the occurrence of sample fracture in both combinations of speckles application on the sample surface. Research has shown the importance of proper sample preparation for determination strain amounts and insignificant minor differences of strain amounts, between different sample preparations for digital image correlation, during cold deformation of tested steel.
Databáze: OpenAIRE