Finite element analysis of Al 2024/Cu-Al-Ni shape memory alloy composites with defects/cracks

International Conference on Advances in Materials and Manufacturing Applications 2017

Kotresh, M.^1 ; Benal, M.M.^2 ; Siddalinga Swamy, N.H.^3

Visvesvaraya Technological University, Research Resource Center, VTU, Belagavi, Karnataka, India^1

Department of Mechanical Engineering, Government Engineering College, Kushalnagar, Madikeri, Karnataka, India^2

All India Council for Technical Education, M.H.R.D., Govt. of India, New Delhi, India^3

关键词: Adaptive composite;    Expansion coefficients;    Numerical approaches;    Particles reinforced composites;    Reinforcement particles;    Shape memory alloy composites;    Shape memory alloys(SMA);    Stress amplifications;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/310/1/012086/pdf
DOI  :  10.1088/1757-899X/310/1/012086

来源: IOP

【 摘 要 】

In this work, a numerical approach to predict the stress field behaviour of defect/crack in shape memory alloy (SMA) particles reinforced composite known as the adaptive composite is presented. Simulation is based on the finite element method. The critical stress field approach was used to determine the stresses around defect/crack. Thereby stress amplification issue is being resolved. In this paper, the effect volume % of shape memory alloy and shape memory effect of reinforcement for as-cast and SME trained composites are examined and discussed. Shape memory effect known as training is achieved by pre-straining of reinforcement particles by equivalent changes in their expansion coefficients.