S. Rodinò, M. Siciliano, E. M. Curcio, F. Lamonaca, D. L. Carnì, G. Carbone, C. Maletta
{"title":"Development of an Automated Experimental System for Thermomechanical and Electrical Characterization of NiTi Shape Memory Alloys","authors":"S. Rodinò, M. Siciliano, E. M. Curcio, F. Lamonaca, D. L. Carnì, G. Carbone, C. Maletta","doi":"10.1007/s11340-024-01036-2","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Comprehensive datasets quantifying the coupled thermo-mechanical and electrical properties of shape memory alloys (SMAs) are lacking, as are standardized techniques for robust characterization. This hampers accurate modeling and design of SMA-based components. Objective: This work develops an automated experimental system to enable simultaneous measurement of stress-strain-temperature behavior and electrical resistivity evolution in NiTi SMA wires under controlled stress conditions. Methods: Customized test frames apply precise mechanical stresses while allowing for <i>in situ</i> electrical measurements and infrared imaging during complete thermal cycling protocols. Specialized instrumentation including a Keithley 2002 multimeter, Agilent E3631A programmable power supply, and FLIR A615 thermal camera are integrated with LabVIEW-based software routines for complete automation of the characterization process. Rigorous metrology principles are implemented throughout the measurement procedure to improve accuracy, repeatability, and consistency compared to prior manual techniques. Results: Extensive datasets are generated which reveal pronounced stress-dependencies in key SMA material parameters including transformation temperatures, recoverable strain, and electrical resistivity. A 3D regression model describes the comprehensive relationship between resistivity, temperature, and applied stress across the entire characterization domain. Conclusions: The automated measurement framework and methodology establishes a foundation for high-fidelity, reliable acquisition of coupled SMA property data. This will enable more accurate modeling and design of components and systems incorporating SMA actuation or sensing functions.</p></div>","PeriodicalId":552,"journal":{"name":"Experimental Mechanics","volume":"64 3","pages":"425 - 440"},"PeriodicalIF":2.0000,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11340-024-01036-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11340-024-01036-2","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Comprehensive datasets quantifying the coupled thermo-mechanical and electrical properties of shape memory alloys (SMAs) are lacking, as are standardized techniques for robust characterization. This hampers accurate modeling and design of SMA-based components. Objective: This work develops an automated experimental system to enable simultaneous measurement of stress-strain-temperature behavior and electrical resistivity evolution in NiTi SMA wires under controlled stress conditions. Methods: Customized test frames apply precise mechanical stresses while allowing for in situ electrical measurements and infrared imaging during complete thermal cycling protocols. Specialized instrumentation including a Keithley 2002 multimeter, Agilent E3631A programmable power supply, and FLIR A615 thermal camera are integrated with LabVIEW-based software routines for complete automation of the characterization process. Rigorous metrology principles are implemented throughout the measurement procedure to improve accuracy, repeatability, and consistency compared to prior manual techniques. Results: Extensive datasets are generated which reveal pronounced stress-dependencies in key SMA material parameters including transformation temperatures, recoverable strain, and electrical resistivity. A 3D regression model describes the comprehensive relationship between resistivity, temperature, and applied stress across the entire characterization domain. Conclusions: The automated measurement framework and methodology establishes a foundation for high-fidelity, reliable acquisition of coupled SMA property data. This will enable more accurate modeling and design of components and systems incorporating SMA actuation or sensing functions.
背景缺乏量化形状记忆合金 (SMA) 热机械和电气耦合特性的全面数据集,也缺乏用于稳健表征的标准化技术。这妨碍了基于 SMA 的部件的精确建模和设计。目标:本研究开发了一套自动化实验系统,可在受控应力条件下同时测量镍钛 SMA 线的应力-应变-温度行为和电阻率演变。测量方法:定制的测试框架施加精确的机械应力,同时允许在完整的热循环协议期间进行原位电学测量和红外成像。包括 Keithley 2002 万用表、Agilent E3631A 可编程电源和 FLIR A615 热像仪在内的专用仪器与基于 LabVIEW 的软件例程集成,实现了表征过程的完全自动化。在整个测量过程中采用了严格的计量原则,与以前的手动技术相比,提高了准确性、可重复性和一致性。结果生成的大量数据集揭示了 SMA 关键材料参数的明显应力依赖性,包括转化温度、可恢复应变和电阻率。三维回归模型描述了整个表征域中电阻率、温度和外加应力之间的综合关系。结论:自动化测量框架和方法为高保真、可靠地获取耦合 SMA 特性数据奠定了基础。这将使包含 SMA 执行或传感功能的组件和系统的建模和设计更加精确。
期刊介绍:
Experimental Mechanics is the official journal of the Society for Experimental Mechanics that publishes papers in all areas of experimentation including its theoretical and computational analysis. The journal covers research in design and implementation of novel or improved experiments to characterize materials, structures and systems. Articles extending the frontiers of experimental mechanics at large and small scales are particularly welcome.
Coverage extends from research in solid and fluids mechanics to fields at the intersection of disciplines including physics, chemistry and biology. Development of new devices and technologies for metrology applications in a wide range of industrial sectors (e.g., manufacturing, high-performance materials, aerospace, information technology, medicine, energy and environmental technologies) is also covered.