Abstract
The modern industrial and consumer applications in accordance with the concepts of Industry 4.0 and the Internet of Things are characterized by autonomy and self-sufficiency. This has led to an increase in the interest for the so-called smart materials, capable of combining the functionalities of sensors, actuators and, in some applications, control systems. An important group of smart materials are shape-memory alloys, among which nickel–titanium (NiTi) alloys are the most known. In this article, the influence of phase transformation on the mechanical properties of thin NiTi alloy wires was investigated. During the test, the influence of the heating currents on the displacement and the force generated by the thin NiTi wires were analyzed. The temperature of the wires during heating was measured by a thermographic camera. This study proved the maximum value of the wires’ displacement was related to the value of the heating current. During the research, the dependence of the transformation dynamics on the value of the heating currents was also proved. In addition, the influence of the surface inhomogeneity of the thin NiTi alloy wires on the accuracy of the thermographic measurements was analyzed. For the experimental research described in this article, we used the NiTi alloy whose trade name is Flexinol, produced by DYNALLOY (Inc. 2801 McGaw Ave. Irvine, CA, USA).
Funder
statutory funds from the Faculty of Mechanical Engineering of Silesian University of Technology
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference31 articles.
1. (2016). Market for Multifunctional Smart Materials Will Exceed $1.4 Bn by 2021. Focus Powder Coat., 2016, 7.
2. Sharp, S.R., Clemeña, G.G., and (VTRC), Virginia Transportation Research Council (2022, November 23). State-of-the-Art Survey of Advanced Materials and Their Potential Application in Highway Infrastructure. Charlottesville, Virginia, November 2004. Available online: https://www.virginiadot.org/vtrc/main/online_reports/pdf/05-r9.pdf.
3. Kowol, P., Szczygiel, M., Lo Sciuto, G., and Capizzi, G. (2020, January 15–18). Modeling of Magnetorheological Fluids Relative Magnetic Permeability by Using a Neural Network Approach. Proceedings of the 20th IEEE Mediterranean Electrotechnical Conference (MELECON 2020), Palermo, Italy.
4. The Applications of Internet of Things in the Automotive Industry: A Review of the Batteries, Fuel Cells, and Engines;Pourrahmani;Internet Things,2022
5. Behera, A., Sahoo, A.K., and Mohapatra, S.S. (2022). Nickel-Titanium Smart Hybrid Materials: From Micro- to Nano-Structured Alloys for Emerging Applications, Elsevier.
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