Influence of energy input parameters on wire feed rate and surface characteristics during WECM of Nitinol SMA

Naresh Besekar, B. Bhattacharyya
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引用次数: 2

Abstract

Nitinol shape memory alloy (SMA) has outstanding chemical and mechanical properties which make the machining of Nitinol SMA more difficult than other materials due to super-elasticity and multiphase transformation. Wire electrochemical machining (WECM) is a nontraditional process, which removes conductive material through anodic dissolution despite of material’s properties. In this paper, the mathematical model is presented for slit width calculation for the influence of different parameters using vibration-assisted nozzle jet flushing. In this experimental investigation, the effect of prominent energy input parameters on wire feed rate to achieve better homogeneity, machining accuracy, and surface quality with a 300 µm thick sheet of Nitinol SMA micro-slits has been presented using an in-house developed WECM set-up. Experimental results revealed that the wire feed rate and surface roughness drastically increases with an increase in the most influencing energy input parameter, that is, pulse voltage with minimum average surface roughness (Ra) of 0.1076 µm and 123.60 µm average slit width at 7 V pulse voltage. Finally, the curved complex micro-feature of a 120 µm thick sheet of Nitinol SMA was fabricated successfully with a 137.795 µm average slit width under the controlled process parameter combination using WECM.
能量输入参数对镍钛诺SMA平轧过程中送丝速度和表面特性的影响
镍钛诺形状记忆合金(Nitinol shape memory alloy, SMA)具有优异的化学和机械性能,由于其超弹性和多相转变特性,使得其加工难度高于其他材料。线材电化学加工(WECM)是一种非传统的加工方法,不考虑材料的性能,通过阳极溶解去除导电材料。本文针对振动辅助喷管射流冲刷时不同参数对狭缝宽度的影响,建立了计算狭缝宽度的数学模型。在本实验研究中,利用自行开发的WECM装置,展示了突出的能量输入参数对送丝速度的影响,以获得更好的均匀性、加工精度和表面质量,并对300 μ m厚的镍钛诺SMA微缝板进行加工。实验结果表明,在7 V脉冲电压下,随着影响最大的能量输入参数——脉冲电压的增加,送丝速率和表面粗糙度急剧增加,平均表面粗糙度Ra最小为0.1076µm,平均狭缝宽度为123.60µm。最后,在可控的工艺参数组合下,成功制备了120µm厚、平均狭缝宽度为137.795µm的镍钛诺SMA板材的弯曲复杂微观形貌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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