Scholarlink

<p>To meet demands for advanced materials, new alloys with specific properties are being developed. NiTiCu is a shape memory alloy (SMA) with several uses in medicine, defense, and aerospace. High strength, accuracy, and precision of NiTiCu are required for these applications. It is challenging to machine them using the conventional machining process. Therefore, electric discharge drilling (EDD) is utilized to machine such SMA. In this study, EDD of NiTiCu SMA has been carried out using the Grey Relational Analysis (GRA) and Response Surface Methodology (RSM) for multi-objective optimization of material removal rate (MRR) and surface roughness (SR). Experimental analysis of performance criteria&#xa0;has been evaluated by conducting experiments following Taguchi L18 (2<sup>1</sup> x3<sup>5</sup>) mixed-level orthogonal array. Six process parameters, namely tool electrode material (TEM), pulse current (I<sub>p</sub>), gap voltage (V<sub>g</sub>), pulse on time (T<sub>on</sub>), pulse off time (T<sub>off</sub>), and rotational speed of tool electrode (N), have been used. The confirmatory results proved that the optimal parameters: TEM (CuW), I<sub>p</sub> (12 A), V<sub>g</sub> (40&#xa0;V), T<sub>on</sub> (90&#xa0;µs), T<sub>off</sub> (15&#xa0;µs), and N (350&#xa0;rpm), highest MRR and lowest SR have been achieved, 4.9150 mm<sup>3</sup>/min and 6.9&#xa0;µm, respectively, using GRA. The desirability approach in RSM has been used to find optimal parameters: TEM (CuW), I<sub>p</sub> (12 A), V<sub>g</sub> (40&#xa0;V), T<sub>on</sub> (30&#xa0;µs), T<sub>off</sub> (15&#xa0;µs), and N (397.4747&#xa0;rpm). The MRR and SR have been found to be 4.3865 mm<sup>3</sup>/min and 5.2285&#xa0;µm in the confirmatory experiments. Based on % change, GRA technique has been found more efficient than RSM in this study.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Experimental and Optimization Approach for Electric Discharge Drilling of NiTiCu Shape Memory Alloy

  • 期刊论文

  • 发表日期：

    2026年2月12日

查看全文
  • Hari Om,
  • Shankar Singh

摘要

To meet demands for advanced materials, new alloys with specific properties are being developed. NiTiCu is a shape memory alloy (SMA) with several uses in medicine, defense, and aerospace. High strength, accuracy, and precision of NiTiCu are required for these applications. It is challenging to machine them using the conventional machining process. Therefore, electric discharge drilling (EDD) is utilized to machine such SMA. In this study, EDD of NiTiCu SMA has been carried out using the Grey Relational Analysis (GRA) and Response Surface Methodology (RSM) for multi-objective optimization of material removal rate (MRR) and surface roughness (SR). Experimental analysis of performance criteria has been evaluated by conducting experiments following Taguchi L18 (21 x35) mixed-level orthogonal array. Six process parameters, namely tool electrode material (TEM), pulse current (Ip), gap voltage (Vg), pulse on time (Ton), pulse off time (Toff), and rotational speed of tool electrode (N), have been used. The confirmatory results proved that the optimal parameters: TEM (CuW), Ip (12 A), Vg (40 V), Ton (90 µs), Toff (15 µs), and N (350 rpm), highest MRR and lowest SR have been achieved, 4.9150 mm3/min and 6.9 µm, respectively, using GRA. The desirability approach in RSM has been used to find optimal parameters: TEM (CuW), Ip (12 A), Vg (40 V), Ton (30 µs), Toff (15 µs), and N (397.4747 rpm). The MRR and SR have been found to be 4.3865 mm3/min and 5.2285 µm in the confirmatory experiments. Based on % change, GRA technique has been found more efficient than RSM in this study.