Soares de Alcantara Daniel, Balestrassi Pedro Paulo, Freitas Gomes José Henrique, Carvalho Castro Carlos Alberto
Institute of industrial Engineering, Federal University of Itajubá (UNIFEI), Itajubá 37500-903, Brazil.
Federal Center of Technological Education of Minas Gerais (CEFET-MG), Varginha 37022-560, Brazil.
Entropy (Basel). 2020 Jun 24;22(6):704. doi: 10.3390/e22060704.
Continuous drive friction welding is a solid-state welding process that has been experimentally proven to be a fast and reliable method. This is a complex process; deformations in the viscosity of a material alter the friction between the surfaces of the pieces. All these dynamics cause changes in the vibration signals; the interpretation of these signals can reveal important information. The vibration signals generated during the friction and forging stages are measured on the stationary part of the structure to determine the influence of the manipulated variables on the time domain statistical characteristics (root mean square, peak value, crest factor, and kurtosis). In the frequency domain, empirical mode decomposition is used to characterize frequencies. It was observed that it is possible to identify the effects of the manipulated variables on the calculated statistical characteristics. The results also indicate that the effect of manipulated variables is stronger on low-frequency signals.
连续驱动摩擦焊接是一种固态焊接工艺，已通过实验证明是一种快速且可靠的方法。这是一个复杂的过程；材料粘度的变化会改变焊件表面之间的摩擦力。所有这些动态变化都会导致振动信号发生变化；对这些信号的解读可以揭示重要信息。在摩擦和锻造阶段产生的振动信号在结构的固定部分进行测量，以确定操作变量对时域统计特征（均方根、峰值、波峰因数和峰度）的影响。在频域中，使用经验模态分解来表征频率。据观察，可以识别操作变量对计算出的统计特征的影响。结果还表明，操作变量对低频信号的影响更强。
