Chaudhari Rakesh, Ayesta Izaro, Doshi Mikesh, Khanna Sakshum, Patel Vivek K, Vora Jay, López de Lacalle Luis Norberto
Department of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar 382007, India.
Department of Mechanical Engineering, Escuela Superior de Ingenieros, University of the Basque Country, Alameda de Urquijo s/n., 48013 Bilbao, Spain.
Nanomaterials (Basel). 2022 Dec 9;12(24):4394. doi: 10.3390/nano12244394.
Nickel-based superalloys find their main use in missile engines, atomic devices, investigational aircraft, aerospace engineering, industrial applications, and automotive gas turbines, spacecraft petrochemical tools, steam power, submarines, and broader heating applications. These superalloys impose certain difficulties during the process fabrication owing to their levels of higher hardness. In the current study, the precise machining of Waspaloy was attempted through the wire electrical discharge machining (WEDM) technique. A multi-objective optimization has been performed, and the influence of multi-walled carbon nanotubes (MWCNTs) has been assessed using the passing vehicle search (PVS) algorithm. The effects of machining variables like current, T, and T were studied using the output measures of material removal rate (MRR), recast layer thickness (RLT), and surface roughness (SR). The Box-Behnken design was applied to generate the experimental matrix. Empirical models were generated which show the interrelationship among the process variables and output measures. The analysis of variance (ANOVA) method was used to check the adequacy, and suitability of the models and to understand the significance of the parameters. The PVS technique was executed for the optimization of MRR, SR, and RLT. Pareto fronts were derived which gives a choice to the user to select any point on the front as per the requirement. To enhance the machining performance, MWCNTs mixed dielectric fluid was utilized, and the effect of these MWCNTs was also analyzed on the surface defects. The use of MWCNTs at 1 g/L enhanced the performance of MRR, SR, and RLT by 65.70%, 50.68%, and 40.96%, respectively. Also, the addition of MWCNTs has shown that the machined surface largely reduces the surface defects.
镍基高温合金主要应用于导弹发动机、原子装置、试验飞机、航空航天工程、工业应用、汽车燃气轮机、航天器石化工具、蒸汽动力、潜艇以及更广泛的加热应用领域。由于这些高温合金具有较高的硬度，在加工制造过程中会带来一定困难。在当前研究中，尝试通过电火花线切割加工（WEDM）技术对Waspaloy合金进行精密加工。进行了多目标优化，并使用通行车辆搜索（PVS）算法评估了多壁碳纳米管（MWCNT）的影响。使用材料去除率（MRR）、重铸层厚度（RLT）和表面粗糙度（SR）等输出指标研究了电流、脉宽和脉间等加工变量的影响。采用Box-Behnken设计生成实验矩阵。生成了经验模型，显示了工艺变量与输出指标之间的相互关系。使用方差分析（ANOVA）方法检查模型的充分性和适用性，并了解参数的显著性。执行PVS技术以优化MRR、SR和RLT。得出了帕累托前沿，为用户提供了根据需求在前沿上选择任意点的选择。为了提高加工性能，使用了MWCNT混合工作液，并分析了这些MWCNT对表面缺陷的影响。在1 g/L的浓度下使用MWCNT分别使MRR、SR和RLT的性能提高了65.70%、50.68%和40.96%。此外，添加MWCNT表明加工表面大大减少了表面缺陷。
