Effect of spatial heterogeneity on level of rejuvenation in Ni80P20metallic glass
Chen T.-C. Nasution M.K.M. Jabbar A.H. Shoja S.J. Siswanto W.A. Pranoto S.H. Bokov D. Magizov R. Mustafa Y.F. Surendar A. Zalilov R. Sviderskiy A. Vorobeva A. Vorobyev D. Alkhayyat A.
1 September 2022Institute of Physics
Chinese Physics B
2022#31Issue 9
Understanding the relation between spatial heterogeneity and structural rejuvenation is one of the hottest topics in the field of metallic glasses (MGs). In this work, molecular dynamics (MD) simulation is implemented to discover the effects of initial spatial heterogeneity on the level of rejuvenation in the Ni80P20MGs. For this purpose, the samples are prepared with cooling rates of 1010 K/s-1012 K/s to make glassy alloys with different atomic configurations. Firstly, it is found that the increase in the cooling rate leads the Gaussian-type shear modulus distribution to widen, indicating the aggregations in both elastically soft and hard regions. After the primary evaluations, the elastostatic loading is also used to transform structural rejuvenation into the atomic configurations. The results indicate that the sample with intermediate structural heterogeneity prepared with 1011 K/s exhibits the maximum structural rejuvenation which is due to the fact that the atomic configuration in an intermediate structure contains more potential sites for generating the maximum atomic rearrangement and loosely packed regions under an external excitation. The features of atomic rearrangement and structural changes under the rejuvenation process are discussed in detail.
disordered solids , mechanical properties , metallic glasses , molecular dynamics simulation
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Dhurakij Pundit University, Bangkok, 10210, Thailand
Data Science and Computational Intelligence Research Group, Universitas Sumatera Utara, Medan, Indonesia
Optical Department, College of Health and Medical Technology, Sawa University, Ministry of Higher Education and Scientific Research, Al-Muthanaa, Samawah, Iraq
College of Health & Medical Technology, Al-Ayen University, Iraq
Faculty of Engineering, Universitas Muhammadiyah Surakarta, Jawa Tengah, 57102, Indonesia
Department of Mechanical Engineering, Faculty of Science and Technology, Universitas Muhammadiyah Kalimantan Timur, Samarinda, 75124, Indonesia
Institute of Pharmacy, Sechenov First Moscow State Medical University, 8 Trubetskaya St., Moscow, 119991, Russian Federation
Kazan Federal University, Kazan, Russian Federation
Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul, 41001, Iraq
Department of Pharmacology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India
Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation
Innovative University of Eurasia, Pavlodar, Kazakhstan
K. G. Razumovsky Moscow State University of Technologies and Management, Moscow, 109004, Russian Federation
College of Technical Engineering, The Islamic University, Najaf, Iraq
Dhurakij Pundit University
Data Science and Computational Intelligence Research Group
Optical Department
College of Health & Medical Technology
Faculty of Engineering
Department of Mechanical Engineering
Institute of Pharmacy
Kazan Federal University
Department of Pharmaceutical Chemistry
Department of Pharmacology
Nosov Magnitogorsk State Technical University
Innovative University of Eurasia
K. G. Razumovsky Moscow State University of Technologies and Management
College of Technical Engineering
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