“…The main idea of this method is to combine the unique behaviour of shape memory alloys (SMAs), i.e., shape memory effect and superelasticity, and the functionality of the graded material structures to achieve desired performance or new properties for various applications. Gradient of functional properties of NiTi can be achieved in three ways: compositional gradient [[4], [5], [6]], microstructural gradient [[7], [8], [9]], and geometrical gradient [[10], [11], [12]]. Geometrically graded NiTi can provide a stress or strain gradient for progressive transformation.…”
Section: Experimental Design Materials and Methodsmentioning
This article provides experimental and numerical data for the propagation of stress-induced martensitic transformation within NiTi structures with uniform and nonuniform geometries. This article is related to the research paper entitled “Computational and experimental analyses of martensitic transformation propagation in shape memory alloys” [1]. The heterogeneous transformation evolutions within geometrically graded NiTi structures are presented by thermal images recorded by a high-resolution infrared camera during tensile loading. The modelling of transformation and deformation behaviours of those structures is presented by finite element computational method.
“…The main idea of this method is to combine the unique behaviour of shape memory alloys (SMAs), i.e., shape memory effect and superelasticity, and the functionality of the graded material structures to achieve desired performance or new properties for various applications. Gradient of functional properties of NiTi can be achieved in three ways: compositional gradient [[4], [5], [6]], microstructural gradient [[7], [8], [9]], and geometrical gradient [[10], [11], [12]]. Geometrically graded NiTi can provide a stress or strain gradient for progressive transformation.…”
Section: Experimental Design Materials and Methodsmentioning
This article provides experimental and numerical data for the propagation of stress-induced martensitic transformation within NiTi structures with uniform and nonuniform geometries. This article is related to the research paper entitled “Computational and experimental analyses of martensitic transformation propagation in shape memory alloys” [1]. The heterogeneous transformation evolutions within geometrically graded NiTi structures are presented by thermal images recorded by a high-resolution infrared camera during tensile loading. The modelling of transformation and deformation behaviours of those structures is presented by finite element computational method.
“…With femtosecond laser cutting, microstructural grain recrystallization is avoided, hence mitigating potential adverse effects to the phase transformation temperatures. [134][135][136] Figure 29 shows an example of how ultrafast laser cutting has a negligible effect on the phase transformation temperatures. With a CW laser cut, there is a significant shift in the DSC results.…”
The nickel‐titanium (NiTi) alloy, “Nitinol”, has become a prominent name in the medical device industry amongst medical device manufacturers. The unique properties of the material, such as the shape memory effect and pseudoelasticity, have earned the material increasing popularity for new product innovations. Amongst the various manufacturing processes for metal alloys, laser micromachining has taken the lead for processing Nitinol‐based products. This literature review provides an analysis of the history and applications of Nitinol, an overview of the microstructure of the material, and a review of the current manufacturing methods for laser cutting medical‐grade Nitinol. A more in‐depth focus is placed on the realm of laser processing and the challenges associated with the manufacturing process. Ultrafast femtosecond pulse processing delivers promising results and quality for manufacturing Nitinol medical devices. However, there exists a need to investigate potential approaches to increase the cutting speed of the process to enhance throughput and stay competitive in a growing market due to the cutting speed being over 4‐times slower than long pulse cutting. Many tactics to address the problem are discussed, ranging from laser selection, processing parameters, and non‐traditional laser processing approaches.This article is protected by copyright. All rights reserved.
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