Influence of the spark heat on the electrode behavior in Powder Mixed-EDM environment

Authors

  • M. A. Abbas Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia, 86400 Parit Raja, Johor Bahru, Malaysia, Phone: +60-11-63772493
  • M. A. Lajis Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia, 86400 Parit Raja, Johor Bahru, Malaysia
  • A. D. Jawad Engineering Technical College (ETCN), Al-Furat Al-Awsat Technical University (ATU), 54003 Main Hilla-Baghdad Road, Iraq
  • E. A. Rahim Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • S. Ahmed Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • N. A. Jamil Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia

DOI:

https://doi.org/10.15282/jmes.13.4.2019.25.0481

Keywords:

D2 steel, Powder Mixed-EDM, Electrode damage, Heat flux of the spark channel

Abstract

Most past studies did not attempt to improve the numerical model for the electrode removal rate which depends on the experimental results. Furthermore, these studies have not included the damage-sensing for the electrode in Powder Mixed-EDM (PMEDM) medium. Therefore, the current study aims to enhance this model for the copper electrode based on the heat flux for the spark channel. Besides, it focuses on sensing the copper electrode damage depending on the slope relation between eroding velocity and the pulse duration. In both studies, during machining D2 steel, Nano chromium powder in the dielectric liquid is applied. The correlation factor between the Numerical Heat Flux q(r) and the experimental results for the Tool Wear Rate (TWR) attained is 93.06%. The value of this factor improves the mathematical model for TWR instead of the traditional mechanism that adopts the crater volume. Also, the damage-sensing constant (STD) in the copper electrode is very efficient at the minimum value of the peak current (IP), powder concentration (PC) and the maximum level of the pulse duration (Ton). Thus, the statistical confirmation using Response Surface Methodology (RSM) produced a higher value of the composite desirability (96.76%) and error percent equals to (10.3%-1.55%) and (0.18%-2.40%) for TWR and q(r), respectively. On the other hand, the optimum operation values are IP = 10 Amps, Ton = 30 µs, and PC = 2 g/L. These confirmation values are similar to the trials No. (3) and No. (11). Therefore, these values confirm the main purpose in order to obtain the best performance for TWR at the minimum spark heat.

References

Chaudhury P, Samantaray S, Sahu S. Multi response optimization of powder additive mixed electrical discharge machining by Taguchi analysis. In: 5th International Conference of Materials Processing and Characterization, Hyderabad, India. 2017:2231–2241.

Khan MAR, Rahman MM, Kadirgama K, Maleque MA, Ishak M. Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model. Journal of Mechanical Engineering and Sciences. 2011;1:16–24.

Ali MY, Banu A, Salehan M, Adesta EYT, Hazza M, Shaffiq M. Dimensional accuracy in dry micro wire electrical discharge machining. Journal of Mechanical Engineering and Sciences. 2018;12:3321–9.

Tripathy S, Tripathy DK. Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis. Machining Science and Technology. 2017;21:362–384.

Shard A, Shikha D, Gupta V, Garg MP. Effect of B4C abrasive mixed into dielectric fluid on electrical discharge machining. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2018;40:1-11.

Luzia CAO, Laurindo CAH, Soares PC, Torres RD, Mendes LA, Amorim FL. Recast layer mechanical properties of tool steel after electrical discharge machining with silicon powder in the dielectric. The International Journal of Advanced Manufacturing Technology. 2019;103:15–28.

Kumar A, Mandal A, Dixit AR, Das AK, Kumar S, Ranjan R. Comparison in the performance of EDM and NPMEDM using Al2O3 nanopowder as an impurity in DI water dielectric. The International Journal of Advanced Manufacturing Technology. 2019;100:1327–39.

Kansal HK, Singh S, Kumar P. Technology and research developments in powder mixed electric discharge machining (PMEDM). Journal of Materials Processing Technology. 2007;184:32–41.

Kansal HK, Singh S, Kumar P. Effect of silicon powder mixed EDM on machining rate of AISI D2 die steel. Journal of Manufacturing Processes. 2007;9:13–22.

Roy C, Syed KH, Kuppan P. Machinability of Al/10% SiC/25% TiB2 metal matrix composite with powder-mixed electrical discharge machining. In: 1st Global Colloquium on Recent Advancements and Effectual Researches in Engineering, Science and Technology, Palai, India. 2016;1056–1063.

Prakash et al. Experimental investigations in powder mixed electric discharge machining of Ti-35Nb-7Ta-5Zrβ-titanium alloy. Materials and Manufacturing Processes. 2017;32: 274–285.

Syed KH, Palaniyandi K. Performance of electrical discharge machining using aluminum powder suspended distilled water. Turkish J. Eng. Environ. Sci. 2012;36:195–207.

Abrol A, Sharma S. Effect of chromium powder mixed dielectric on performance characteristic of AISI D2 die steel using EDM. International Journal of Research in Engineering and Technology. 2015;4:232–246.

Kolli M, Kumar A. Effect of boron carbide powder mixed into dielectric fluid on electrical discharge machining of titanium alloy. In: International Conference on Advances in Manufacturing and Materials Engineering, Karnataka, India. 2014:1957–1965.

Singh H. Experimental study of distribution of energy during EDM process for utilization in thermal models. International Journal of Heat and Mass Transfer. 2012; 55:5053–5064.

Ali MY et al. Powder mixed micro electro discharge milling of Titanium alloy: Analysis of surface roughness. Advanced Materials Research. 2012;341-342: 142-146.

Liu Y et al. The simulation research of tool wear in small hole EDM machining on Titanium alloy. Applied Mechanics and Materials. 2014;624:249-254.

Sanghani CR, Acharya GD, Kothari KD. Finite element analysis of tool wear rate in electrical discharge machining and comparison with experimental results. Trends in Machine Design. 2016;3:18–22.

Izquierdo B et al. A numerical model of the EDM process considering the effect of multiple discharges. International Journal of Machine Tools and Manufacture. 2009;49:220–229.

Kansal HK, Singh S, Kumar P. Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method. Mathematical and Computer Modelling. 2008;47:1217–1237.

Jatti VS, Bagane S. Thermo-electric modeling, simulation and experimental validation of powder mixed electric discharge machining (PMEDM) of BeCu alloys. Alexandria Engineering Journal. 2017;57: 643-653.

Khan A. A. Electrode wear and material removal rate during EDM of aluminum and mild steel using copper and brass electrodes. The International Journal of Advanced Manufacturing Technology. 2008; 39:482–487.

Patel S, Thesiya D, Rajurkar A. Aluminium powder mixed rotary electric discharge machining (PMEDM) on Inconel 718. Australian Journal of Mechanical Engineering. 2018;16:21–30.

Jawahar M, Reddy CS, Srinivas C. A review of performance optimization and current research in PMEDM. Materials Today: Proceedings. 2019.

Khan AA, Mridha S. Performance of Copper and Aluminum Electrodes during EDM of Stainless Steel and Carbide. Journal for Manufacturing Science and Production. 2006;7:1–8.

Joshi SN, Pande SS. Thermo-physical modeling of die-sinking EDM process. Journal of Manufacturing Processes. 2010; 12:45–56.

Long BT et al. Optimization of PMEDM process parameter for maximizing material removal rate by Taguchi’s method. The International Journal of Advanced Manufacturing Technology. 2016;87:1929–1939.

Kumar S, Batra U. Surface modification of die steel materials by EDM method using tungsten powder-mixed dielectric. Journal of Manufacturing Processes. 2012;14:35–40.

Bhatt G, Batish A, Bhattacharya A. Experimental investigation of magnetic field assisted powder mixed electric discharge machining. Particulate Science and Technology. 2015;33:246–256.

Batish A, Bhattacharya A, Kumar N. Powder mixed dielectric: an approach for improved process performance in EDM. Particulate Science and Technology. 2015;33:150–158.

Shabgard MR, Kabirinia F. Effect of dielectric liquid on characteristics of WC-Co powder synthesized using EDM process. Materials and Manufacturing Processes. 2014;29:1269–1276.

Rathi MG, Mane DV. Study on effect of powder mixed dielectric in EDM of Inconel 718. International Journal of Scientific and Research. 2014;4:1–7.

Del Castillo E, Montgomery DC, McCarville DR. Modified desirability functions for multiple response optimization. Journal of Quality Technology. 1996;28:337–345.

Myers RH, Montgomery DC, Anderson-Cook CM. Response surface methodology: Process and product optimization using designed experiments. 3rd. New Jersey: John Wiley and Sons; 2016.

Ali MY, Moudood MA, Maleque MA. Electro-discharge machining of alumina: Investigation of material removal rate and surface roughness. Journal of Mechanical Engineering and Sciences. 2017;11:3015-3026.

Downloads

Published

2019-12-30

How to Cite

[1]
M. A. Abbas, M. A. Lajis, A. D. Jawad, E. A. Rahim, S. Ahmed, and N. A. Jamil, “Influence of the spark heat on the electrode behavior in Powder Mixed-EDM environment”, J. Mech. Eng. Sci., vol. 13, no. 4, pp. 6125–6143, Dec. 2019.

Similar Articles

<< < 2 3 4 5 6 7 8 9 10 11 > >> 

You may also start an advanced similarity search for this article.