Orientation-dependent shock compression behavior of non-porous/porous NiTi shape memory alloy: an atomic scale study

2021 ◽  
pp. 103114
Author(s):  
Xiang Chen ◽  
Zhenwei Wu ◽  
Xiao Tang ◽  
Hanjie Hu ◽  
Sheng Lu ◽  
...  
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shock Compression ◽  
Atomic Scale ◽  
Niti Shape Memory Alloy ◽  
Compression Behavior ◽  
Porous Niti

Compression behavior of porous NiTi shape memory alloy

2005 ◽  
Vol 53 (2) ◽  
pp. 337-343 ◽  
Author(s):  
Ying Zhao ◽  
Minoru Taya ◽  
Yansheng Kang ◽  
Akira Kawasaki
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Niti Shape Memory Alloy ◽  
Compression Behavior ◽  
Porous Niti

Modeling and Analysis of Compressive Properties of Porous NiTi Shape Memory Alloy Using Artificial Neural Network

2008 ◽  
Vol 41-42 ◽  
pp. 135-140 ◽  
Author(s):  
Qiang Li ◽  
Xu Dong Sun ◽  
Jing Yuan Yu ◽  
Zhi Gang Liu ◽  
Kai Duan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Thermal Explosion ◽  
Process Parameters ◽  
Niti Shape Memory Alloy ◽  
Compressive Properties ◽  
Porous Niti ◽  
Bp Model

Artificial neural network (ANN) is an intriguing data processing technique. Over the last decade, it was applied widely in the chemistry field, but there were few applications in the porous NiTi shape memory alloy (SMA). In this paper, 32 sets of samples from thermal explosion experiments were used to build a three-layer BP (back propagation) neural network model. According to the registered BP model, the effect of process parameters including heating rate ( ), green density ( ) and particle size of Ti ( d ) on compressive properties of reacted products including ultimate compressive strength ( v D σ ) and ultimate compressive strain (ε ) was analyzed. The predicted results agree with the actual data within reasonable experimental error, which shows that the BP model is a practically very useful tool in the properties analysis and process parameters design of the porous NiTi SMA prepared by thermal explosion method.

Nano-indentation and nano-scratching of pure nickel and NiTi shape memory alloy thin films: an atomic-scale simulation

2021 ◽  
Vol 736 ◽  
pp. 138906
Author(s):  
Zenglu Song ◽  
Xiao Tang ◽  
Xiang Chen ◽  
Tao Fu ◽  
Huanping Zheng ◽  
...  
Keyword(s):  
Thin Films ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Pure Nickel ◽  
Atomic Scale ◽  
Niti Shape Memory Alloy ◽  
Nano Indentation

Wear mechanism and tribological characteristics of porous NiTi shape memory alloy for bone scaffold

2013 ◽  
Vol 101A (9) ◽  
pp. 2586-2601 ◽  
Author(s):  
Shuilin Wu ◽  
Xiangmei Liu ◽  
Guosong Wu ◽  
Kelvin W.K. Yeung ◽  
Dong Zheng ◽  
...  
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Wear Mechanism ◽  
Tribological Characteristics ◽  
Niti Shape Memory Alloy ◽  
Bone Scaffold ◽  
Porous Niti
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