Investigation of the Impact of the Alumina Powder Presence in Dielectric on Electrical Discharge Machining Parameters of A413 Aluminum Workpiece using Taguchi's Experiment Design, Signal-to-noise Analysis, and Total Normalized Quality Loss

Journal of Modern Processes in Manufacturing and Production

دوره 12، شماره 1، اردیبهشت 2023، صفحه 79-92   

نوع مقاله: Research Paper

نویسندگان

Mojtaba Shahbazi Dastjerdi؛ Ali Mokhtarian^* ؛ Mojtaba Rahimi

Department of Mechanical, Civil, and Architectural Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran

چکیده

This study aimed to scrutinize the impact of the electrical discharge machining (EDM) parameters of A413 alloy for two cases of dielectric, one with alumina powder and one without, using Taguchi's experiment design method. The completed studies regarding the EDM of the metal-base composites reveal that insufficient research work has been carried out on this composite material. In this research, by using Taguchi's experiment design and through the simultaneous analysis of Total Normalized Quality Loss (TNQL) and Signal-to-Noise ratio (S/N) of the outputs, the impacts of the current intensity, voltage, pulse on-time, and pulse off-time on the material removal rate (MRR), surface roughness (SR), and tool wear rate (TWR) were investigated. The results showed that the use of 3g/L of alumina powder in kerosene dielectric averagely led to a 6.47%, 9.14%, and 19.40% reduction in MRR, SR, and TWR, respectively. Also, the results acquired using TNQL and S/N analyses demonstrated that the optimum experiment was composed of the third level of voltage (A3), the first level of current (B1), the first level of pulse on-time (C1), and the third level of pulse-off time (D3). It was concluded that the current intensity had the greatest impact on the MRR and SR. However, the pulse-on time had the greatest influence on the TWR. It was also observed that the MRR declined by adding 3g/L aluminum oxide powder in the kerosene dielectric which in turn caused a reduction in the SR and the TWR compared to the case of the kerosene dielectric without powder.

کلیدواژه‌ها

Electrical Discharge Machining؛ A413 Aluminum؛ Alumina Powder؛ Signal-to-Noise Ratio؛ Total Normalized Quality Loss

مراجع

[1] Hourmand, M., Farahany, S., Sarhan, A., and Noordin, M. 2015. Investigating the electrical discharge machining (EDM) parameter effects on Al-Mg2Si metal matrix composite (MMC) for high material removal rate (MRR) and less EWR–RSM approach. The International Journal of Advanced Manufacturing Technology. 77(8): 831-838.

[2] Satpathy, A., Tripathy, S., Senapati, N. and Brahma, M. 2017. Optimization of EDM process parameters for AlSiC-20% SiC reinforced metal matrix composite with multi-response using TOPSIS. Materials Today: Proceedings. 4(2): 3043-3052.

[3] Gopalakannan, S., Senthilvelan, T. and Ranganathan, S. 2012. Modeling and Optimization of EDM Process Parameters on Machining of Al 7075-B4C MMC Using RSM. Procedia Engineering. 38: 685-690.

[4] Ayesta, I. 2013. Influence of EDM Parameters on Slot Machining in C1023 Aeronautical Alloy. Procedia CIRP. 6: 129-134.

[5] Wei, D., Di, S., Wang, Y. and Wang, Z. 2016. Analyzing of Discharge Wave Oscillation Mechanism in Electrical Discharge Machining. Procedia CIRP. 42: 23-27.

[6] Shen, Y., Liu, Y. and Sun, W. 2016. High-efficient Dry Hybrid Machining of EDM and Arc Machining. Procedia CIRP. 42: 149-154.

[7] Razak, M., Abdul-Rani, A., Rao, T., Pedapati, S. and Kamal, S. 2016. Electrical Discharge Machining on Biodegradable AZ31 Magnesium Alloy Using Taguchi Method. Procedia Engineering. 148: 916-922.

[8] Rizvi, S., and Agarwal, S. 2016. An Investigation on surface integrity in EDM Process with a Copper Tungsten Electrode. Procedia CIRP. 42: 612-617.

[9] Arunnath, A.,  Madhu, S. and Mebratu, T. 2022. Experimental Investigation and Optimization of Material Removal Rate and Tool Wear in the Machining of Aluminum-Boron Carbide (Al-B4C) Nanocomposite Using EDM Process. Journal of Advances in Materials Science and Engineering. Article ID 4254024.

[10]  Azimi, M., Kolahdooz A. and Eftekhari, A. 2017. An Optimization on the DIN1.2080 Alloy in the Electrical Discharge Machining Process Using ANN and GA. Journal of Modern Processes in Manufacturing and Production. 6(1): 33-47.

[11] Jafari, E., Afsari A. and Abedpour, S. 2020. Predicting the Influence of Electrical Discharge Machining (EDM) Parameters on the Finished Work Surface in CK45 Steel. Journal of Modern Processes in Manufacturing and Production. 9(1): 63-78.

[12]  Motevasseli, H., Afsari, A. and Khosravifard, A. 2020. Investigation of Parameters Affecting Surface Integrity and Material Removal during Electrical Discharge Machining of HARDOX-400 Steel. Journal of Modern Processes in Manufacturing and Production. 9(2): 73-84.

[13] Nguyen, H., Ngo, N. and Tuan, Q. 2020. Optimizing process parameters in EDM using low frequency vibration for material removal rate and surface roughness. Journal of King Saud University. 33(4): 284-291.

[14]   Ramnath, B. 2014. Aluminium metal matrix composites–a review. Reviews on Advanced             Materials Science. 38: 55-60. 

[15]      Data, A. 2003. NADCA product specification standards for die castings. North American Die Casting Association (NADCA), Arlington Heights, IL.

[16]      Daneshmand, S., Neyestanak, A. and Monfared, V. 2008. Effects of Al2O3 powder on electro-discharge machining process of nickel-titanium shape memory alloy. Optoelectron Adv Mater Rapid Commun. 8(11-12): 1119-1124.

[17]      Daneshmand, S., Kahrizi, E., LotfiNeyestanak, A. and Monfared, V. 2014. Optimization of electrical discharge machining parameters for Niti shape memory alloy by using the Taguchi method. Journal of Marine Science and Technology. 22(4): 12.