Chenrayan Venkatesh, Gelaw Mengistu, Manivannan Chandru, Rajamanickam Venkatesan, Venugopal Ellappan
School of Mechanical, Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia.
Dhirajlal Gandhi College of Technology, Salem, India.
Data Brief. 2020 Nov 6;33:106491. doi: 10.1016/j.dib.2020.106491. eCollection 2020 Dec.
The emerging technique of micro electro mechanical systems throws a lot of challenging in the micro and nanoscale of machining. The present research explores the development of hybrid aluminium composite with hard particles boron carbide and silicon carbide in 10% volume fraction, and drilling of micro-holes using micro Electro Chemical Machining (µECM) process. The experiments were conducted based on Taguchi's design of experiments. The chief drilling parameters considered for electrochemical drilling were frequency, voltage, current, and electrolyte concentration. The machining duration and electrode wear were observed as the machining responses. After the experimental trials, the observed machining responses were transformed into equivalent Multi Response Performance Index (MRPI) through Grey Relational Approach (GRA) approach. This MRPI were further analysed through Principal Component Analysis (PCA) so as to determine the exact interaction effect of each parameter on the machining responses. The supply current and electrolyte concentration were found to impact the responses at a bigger level, but frequency and voltage were at the meagre level. The research declared the purposeful finding of optimized micro-drilling parameters of 30 Hz frequency, 8 V voltage, 16A current, and 0.4 mol of electrolyte concentration. The data presented in the articles are highly contributed to enhancing the micro-drilling process in terms of good process capability.
微机电系统这一新兴技术在微纳加工尺度上带来了诸多挑战。本研究探索了体积分数为10%的含有硬质颗粒碳化硼和碳化硅的混合铝复合材料的开发,以及使用微电化学加工(µECM)工艺钻微孔。实验基于田口实验设计进行。电化学钻孔所考虑的主要加工参数为频率、电压、电流和电解液浓度。将加工持续时间和电极磨损作为加工响应进行观测。在实验测试之后,通过灰色关联分析法(GRA)将观测到的加工响应转化为等效多响应性能指标(MRPI)。通过主成分分析法(PCA)对该MRPI进一步分析,以确定各参数对加工响应的确切交互作用。发现供电电流和电解液浓度对响应的影响较大,而频率和电压的影响较小。该研究公布了有针对性地找到的优化微钻参数,即频率30Hz、电压8V、电流16A和电解液浓度0.4mol。文章中呈现的数据对于在良好工艺能力方面提升微钻加工过程有很大贡献。