Paper
25 August 2009 Measurement of localized deformation of shape memory alloy under fast tensile loading
Ping Feng, Qing-Ping Sun, Tong-Xi Yu
Author Affiliations +
Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73756Q (2009) https://doi.org/10.1117/12.839389
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China
Abstract
The deformation of NiTi shape memory alloy strips and microtubes subjected to uniaxial tensile loading involves formation and growth of high-strain martensite domain(s) of various shapes due to autocatalytic stress-induced phase transformation. Under fast tensile loading with strain rates of 10-3~100/s, the number of the domains will increase with the strain rate and the domain morphology becomes very complicated. Measurement of this kind of highly inhomogeneous and localized deformation is a challenging problem. This paper reports the results of our recent experimental advances in solving such problem. It includes: (1) the determination of domain front by direct characterization method, block tracking method, and speckle tracking method; (2) non-contact measurement of global and local strains by flexible video extensometer method. The above methods used in the measurements have been proved to be reliable and suitable for the localized deformation under fast tensile loading conditions.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ping Feng, Qing-Ping Sun, and Tong-Xi Yu "Measurement of localized deformation of shape memory alloy under fast tensile loading", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73756Q (25 August 2009); https://doi.org/10.1117/12.839389
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Shape memory alloys

Image enhancement

Speckle

Video processing

Algorithm development

Image processing

Back to Top