Internal friction behavior of Zr59Fe18Al10Ni10Nb3 metallic glass under different aging temperatures
Israa Faisal Ghazi1, Israa Meften Hashim2, Aravindhan Surendar3,†, Nalbiy Salikhovich Tuguz4, Aseel M. Aljeboree5, Ayad F. Alkaim5, and Nisith Geetha6,‡
1 Department of Materials Engineering, Engineering College, University of Al-Qadisiyah, Qadisiyyah, Iraq; 2 Nursing College, University of Al-Qadisiyah, Qadisiyyah, Iraq; 3 Department of Pharmacology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India; 4 Department of Higher Mathematics, Kuban State Agrarian University, Krasnodar, Russian Federation; 5 College of Sciences for Women, University of Babylon, Babylon, Iraq; 6 Department of Electrical and Electronics Engineering, Sengunthar College of Engineering, Tiruchengode, India
Abstract We investigate the role of aging temperature on relaxation of internal friction in Zr59Fe18Al10Ni10Nb3 metallic glass. For this purpose, dynamic mechanical analysis with different annealing temperatures and frequency values is applied. The results indicate that the aging process leads to decrease in the dissipated energy in the temperature range of glass transition. It is also found that the increase in applied frequency weakens the loss factor intensity in the metallic glass. Moreover, the Kohlrausch-Williams-Watts (KWW) equation is used to evaluate the evolution of internal friction during the aging process. According to the results, higher annealing temperature will make the primary internal friction in the material increase; however, a sharp decline is observed with the time. The drop in characteristic time of internal friction is also closely correlated to the rate of atomic rearrangement under the dynamic excitation so that at higher annealing temperatures, the driving force for the collaborative movement of atoms is easily provided and the mean relaxation time significantly decreases.
Effect of spatial heterogeneity on level of rejuvenation in Ni80P20 metallic glass Tzu-Chia Chen, Mahyuddin KM Nasution, Abdullah Hasan Jabbar, Sarah Jawad Shoja, Waluyo Adi Siswanto, Sigiet Haryo Pranoto, Dmitry Bokov, Rustem Magizov, Yasser Fakri Mustafa, A. Surendar, Rustem Zalilov, Alexandr Sviderskiy, Alla Vorobeva, Dmitry Vorobyev, and Ahmed Alkhayyat. Chin. Phys. B, 2022, 31(9): 096401.
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.