Multidisciplinary Laboratory of Active Materials and Structures (LaMMEA), Department of Mechanical Engineering, Federal University of Campina Grande, Campina Grande 58429-140, Brazil.
Sensors (Basel). 2021 Oct 27;21(21):7140. doi: 10.3390/s21217140.
The mechanical loading frequency affects the functional properties of shape memory alloys (SMA). Thus, it is crucial to study its effect for the successful use of these materials in dynamic applications. Based on the superelastic cyclic behavior, this work presents an experimental methodology for the determination of the critical frequency of the self-heating of a NiTi Belleville conical spring. For this, cyclic compressive tests were carried out using a universal testing machine with loading frequencies ranging from 0.5 Hz to 10 Hz. The temperature variation during the cyclic tests was monitored using a micro thermocouple glued to the NiTi Belleville spring. Numerical simulations of the spring under quasi-static loadings were performed to assist the analysis. From the experimental methodology applied to the Belleville spring, a self-heating frequency of 1.7 Hz was identified. The self-heating is caused by the latent heat accumulation generated by successive cycles of stress-induced phase transformation in the material. At 2.0 Hz, an increase of 1.2 °C in the average temperature of the SMA device was verified between 1st and 128th superelastic cycles. At 10 Hz, the average temperature increase reached 7.9 °C and caused a 10% increase in the stiffness and 25% decrease in the viscous damping factor. Finally, predicted results of the force as a function of the loading frequency were obtained.
机械加载频率会影响形状记忆合金(SMA)的功能特性。因此,研究其对这些材料在动态应用中成功使用的影响至关重要。基于超弹性循环行为,本工作提出了一种用于确定 NiTi 贝氏锥形弹簧自热临界频率的实验方法。为此,使用加载频率范围为 0.5 Hz 至 10 Hz 的万能试验机进行了循环压缩试验。使用粘在 NiTi 贝氏弹簧上的微型热电偶监测循环试验过程中的温度变化。对弹簧在准静态载荷下的数值模拟进行了辅助分析。从应用于贝氏弹簧的实验方法中,确定了 1.7 Hz 的自热频率。自热是由材料中应力诱导相变的连续循环产生的潜热积累引起的。在 2.0 Hz 时,在第 1 次和第 128 次超弹性循环之间,SMA 装置的平均温度升高了 1.2°C。在 10 Hz 时,平均温度升高达到 7.9°C,导致刚度增加 10%,粘性阻尼因子减少 25%。最后,获得了作为加载频率函数的力的预测结果。