Optimization of machining performance parameters in wire EDM of metals with different thermophysical properties

Hacı Bekir Özerkan

Öz


CNC Wire electric discharge machining (WEDM) is different mode of electro discharge machining (EDM) in which conductive, stretched small diameter thin wire is used as tool. It has been widely used to shape machine elements by electrical sparks. In cutting with WEDM, suitable input parameters for the work piece material should be selected due to the its specifications. However the desired machining performace outputs like material removal rate (MRR) and surface roughness (Ra) parameters can be controlled in this way. In this study the role of thermophysical properties of work piece materials are researched in WEDM. And also, in this presented study an attempt has been made to Grey relational analysis to obtain desirable performance characteristics through the selection of appropriate process parameters. For this purpose, aluminum, copper and high speed steel (HSS) are machined with various parameters. As a result, the greatest MRR was obtained in the cutting of copper and in HSS and aluminum processes, respectively. And also if the detected surface roughness values are evaluated from lowest to highest copper, HSS and aluminum metals, respectively. 


Tam Metin:

PDF

Referanslar


Rao, R.V., Pawar, P.J., Modeling and optimization of process parameters of wire electrical discharge machining, Journal of Engineering Manufacturing, 223, 11,1431–1440, (2009).

Gauri, S.K, Chakraborty, S., A study on the performance of some multi-response optimization methods for WEDM processes, International Journal of Advanced Manufacturing Technology, 49, (1–4),155–166, (2010).

Mohan, B., Rajadurai, A. and Satyanarayana, K., Effect of SiC and rotation of electrode on electric discharge machining of Al–SiC composite, Journal of Materials Processing Technology, 124, 3, 297-304, (2002).

El-Hofy, H.A.G., Advanced machining processes: nontraditional and hybrid machining processes, McGraw Hill Professional, (2005).

Rozenek, M., Kozak, J., Dabrowski, L. and Łubkowski, K., Electrical discharge machining characteristics of metal matrix composites, Journal of Materials Processing Technology, 109, 3, 367-370, (2001).

Padhi, P., Mahapatra, S., Yadav, S. and Tripathy, D. Multi-objective optimization of wire electrical discharge machining (WEDM) process parameters using weighted sum genetic algorithm approach, Journal of Advanced Manufacturing Systems,15, 85-100, (2016).

Goswami, A. and Kumar, J., Investigation of surface integrity, material removal rate and wire wear ratio for WEDM of Nimonic 80A alloy using GRA and Taguchi method, Engineering Science and Technology, an International Journal, 17, 4, 173-184, (2014).

Torres, A., Puertas, I. and Luis, C., Modelling of surface finish, electrode wear and material removal rate in electrical discharge machining of hard-to-machine alloys, Precision Engineering, 40, 33-45, (2015).

Bobbili, R., Madhu, V. and Gogia, A. Modelling and analysis of material removal rate and surface roughness in wire-cut EDM of armour materials, Engineering Science and Technology, an International Journal, 18, 4, 664-668 (2015).

Soundararajan, R., Ramesh, A., Mohanraj, N. and Parthasarathi, N., An investigation of material removal rate and surface roughness of squeeze casted A413 alloy on WEDM by multi response optimization using RSM, Journal of Alloys and Compounds, 685, 533-545 (2016).

Arikatla, S.P., Mannan, K.T. and Krishnaiah, A., Experimental Investigations on Kerf width and Material Removal Rate in Wire Electric Discharge Machining of Titanium Alloy, International Journal of Emerging Research in Management &Technology, 4, 11, 105-109, (2015).

Lodhi, B.K. and Agarwal, S., Optimization of machining parameters in WEDM of AISI D3 steel using Taguchi technique, Procedia CIRP, 14, 194-199, (2014).

Mathew, B. and Babu, J., Multiple process parameter optimization of WEDM on AISI304 using Taguchi grey relational analysis, Procedia Materials Science, 5, 1613-1622, (2014).

Mandal, A., Dixit, A.R., Das, A.K. and Mandal, N., Modeling and optimization of machining nimonic C-263 superalloy using multicut strategy in WEDM, Materials and Manufacturing Processes, 31, 7, 860-868, (2016).

Devarasiddappa, D., George, J., Chandrasekaran, M. and Teyi, N., Application of Artificial Intelligence Approach in Modeling Surface Quality of Aerospace Alloys in WEDM Process, Procedia Technology, 25, 1199-1208, (2016).

Hsia, K. H. and Wu, J. H., A study on the data preprocessing in Grey relation analysis, Journal of the Chinese Grey System Association, 1, 47–53, (1998).

Weingärtner, E., Kuster, F. and Wegener, K., Modeling and simulation of electrical discharge machining, Procedia CIRP, 2, 74-78, (2012).

Klocke, F., Schneider, S., Harst, S., Welling, D. & Klink, A. Energy-based approaches for multi-scale modelling of material loadings during Electric Discharge Machining (EDM), Procedia CIRP, 31, 191-196, (2015).

Gathers, G., Thermophysical properties of liquid copper and aluminum. International journal of Thermophysics, 4, 209-226, (1983).

Grimvall, G., Thermophysical properties of materials, 255, Elsevier Science B.V., (1999).

https://www.matdat.com

Acır, A., Canlı, M.E., Ata, İ., Çakıroğlu, R., Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis, Applied Thermal Engineering, 122, 330-338, (2017).

Huang, J. and Liao, Y., Optimization of machining parameters of wire-EDM based on grey relational and statistical analyses, International Journal of Production Research, 41, 1707-1720, (2003).


Refback'ler

  • Şu halde refbacks yoktur.


Telif Hakkı (c) 2019 Hacı Bekir Özerkan

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.