Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
M. G. SURU1, A. L. PARASCHIV1, B. PRICOP1, L. G. BUJOREANU1,*
The paper reports the effects of 100 to 500 training cycles applied to lamellar specimens of a Cu-Zn-Al Shape Memory Alloy (SMA). The training procedure consisted in the bending, during the cooling to room temperature (RT) of martensitic specimens, by the load fastened at their free end and in load lifting by Shape Memory Effect (SME) during heating up to austenitic domain. During cooling, the concave surface of bent specimens was compressed and during heating it was elongated, being subjected to tension-compression cycling, during heating-cooling, respectively. Conversely, the convex surface of bent specimens was elongated during cooling and compressed during heating, being subjected to compression-tension during heating-cooling, respectively. Considering the different loading regime of the convex and concave regions, specimens were trained under various numbers of cycles and were correspondingly prepared for analysis performed by means of atomic force microscopy (AFM). The recorded 2D and 3D micrographs were corroborated with statistical evaluations of thermomechanical loading in order to emphasize the effects of both the number of training cycles and the initial loading state (tension or compression) of the specimens on the morphology of martensite plates..
Cu-Zn-Al shape memory alloys, Training, Thermomechanical loading, Martensite; morphology.
M. G. SURU, A. L. PARASCHIV, B. PRICOP, L. G. BUJOREANU, A statistical evaluation of thermomechanical loading effects on martensite plate morphology in CuZnAl SMAs, Optoelectronics and Advanced Materials - Rapid Communications, 7, 1-2, January-February 2013, pp.141-144 (2013).
Submitted at: Aug. 16, 2012
Accepted at: Feb. 20, 2013
Optoelectronics and Advanced Materials - Rapid Communications
(2022): 0.5 - 2022 Journal Citation Reports (Clarivate Analytics, 2023)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.