Investigations on Synthesis of Porous NiTi Shape Memory Alloy Structures Using Selective Laser Melting Techniques

2019 ◽  
pp. 329-336
Author(s):  
A. Sahu ◽  
I. A. Palani ◽  
Sachin Bhirodkar ◽  
C. P. Paul ◽  
K. S. Bindra
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Selective Laser Melting ◽  
Niti Shape Memory Alloy ◽  
Laser Melting ◽  
Porous Niti

The fabrication of NiTi shape memory alloy by selective laser melting: a review

2019 ◽  
Vol 25 (8) ◽  
pp. 1421-1432 ◽  
Author(s):  
Xizhang Chen ◽  
Kun Liu ◽  
Wei Guo ◽  
Namrata Gangil ◽  
Arshad Noor Siddiquee ◽  
...  
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Selective Laser Melting ◽  
Process Analysis ◽  
Research Direction ◽  
Process Equipment ◽  
Niti Shape Memory Alloy ◽  
Laser Melting ◽  
Content Type ◽  
Niti Sma

Purpose In recent years, the use of high performing materials, and application of additive manufacturing technology for industrial production has witnessed a steady rise and its expanse is only to increase in the future. “Selective laser melting (SLM) technique” for an exotic nickel-titanium (NiTi) shape memory alloy (SMA) is expected to a great facilitator to research in this area. The purpose of this paper is to put forth the research direction of NiTi shape memory alloy by selective laser melting. Design/methodology/approach This review also summaries and skims out the information on process equipment, adopted methodologies/strategies, effects of process parameters on important responses e.g. microstructure and comprehensive functional and mechanical properties of SLM-NiTi. In particular, the functional characteristics (i.e. shape memory effects and super-elasticity behavior), process analysis and application status are discussed. Findings Current progresses and challenges in fabricating NiTi-SMA of SLM technology are presented. Practical implications This review is a useful tool for professional and researchers with an interest in the field of SLM of NiTi-SMA. Originality/value This review provides a comprehensive review of the publications related to the SLM techniques of NiTi-SMA while highlighting current challenges and methods of solving them.

Study on the junction zone of NiTi shape memory alloy produced by selective laser melting via a stripe scanning strategy

2020 ◽  
Vol 126 ◽  
pp. 106947
Author(s):  
Wenqian Guo ◽  
Zhen Sun ◽  
Ying Yang ◽  
Xiebin Wang ◽  
Zhiwei Xiong ◽  
...  
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Selective Laser Melting ◽  
Niti Shape Memory Alloy ◽  
Junction Zone ◽  
Laser Melting ◽  
Scanning Strategy

Selective Laser Melting of NiTi Shape Memory Alloy: Processability, Microstructure, and Superelasticity

2020 ◽  
Vol 6 (3) ◽  
pp. 342-353
Author(s):  
Carlo Alberto Biffi ◽  
Jacopo Fiocchi ◽  
Fabrizio Valenza ◽  
Paola Bassani ◽  
Ausonio Tuissi
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Selective Laser Melting ◽  
Niti Shape Memory Alloy ◽  
Laser Melting

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.

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