Farklı termofiziksel özelliklere sahip metallerin tel elektro erozyon ile işlenmesinde performans parametrelerinin optimizasyonu

Abstract

CNC tel elektro erozyon (WEDM), iletken, gerilmiş küçük çaplı ince telin takım olarak kullanıldığı bir erozyon işlemidir (EDM). Makine elemanlarını, elektriksel kıvılcımlarla şekillendirmek için yaygın olarak kullanılmaktadır. WEDM ile kesmede, iş parçası malzemesi için uygun giriş parametrelerinin seçimi, malzemenin özellikleri dikkate alınarak yapılmalıdır. Ancak bu şekilde arzu edilen işparçası işleme hızı (İİH) ve yüzey pürüzlülüğü (Ra) parametreleri bu şekilde kontrol edilebilir. Bu çalışmada, WEDM'de elektriksel iletkenlik ve iş parçası malzemesinin diğer termofiziksel özelliklerinin rolü araştırılmıştır ve Grey analizi ile optimum işleme parametreleri tespit edilmiştir. Bu amaçla, alüminyum, bakır ve yüksek hız çeliği (HSS) çeşitli parametreler ile işlenmiştir. Sonuç olarak, en büyük MRR, bakırın kesilmesinde ve sırasıyla HSS ve alüminyum işlemlerinde elde edilmiştir. Ayrıca tespit edilen yüzey pürüzlülük değerleri ise en düşükten en yükseğe doğru sırasıyla bakır, HSS ve alüminyum metallerinin işlenmesi sonrasında ölçülmüştür.

Keywords

• Gri ilişkisel analiz,tel EEİ,ideal kesme değerleri

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

Abstract

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.

Keywords

• Grey relational analysis,wire EDM,optimum machining parameters

References

1. 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).
2. 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).
3. 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).
4. El-Hofy, H.A.G., Advanced machining processes: nontraditional and hybrid machining processes, McGraw Hill Professional, (2005).
5. 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).
6. 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).
7. 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).
8. 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).

9. 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).
10. 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).
11. 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).
12. 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).
13. 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).
14. 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).
15. 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).
16. 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).
17. Weingärtner, E., Kuster, F. and Wegener, K., Modeling and simulation of electrical discharge machining, Procedia CIRP, 2, 74-78, (2012).
18. 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).
19. Gathers, G., Thermophysical properties of liquid copper and aluminum. International journal of Thermophysics, 4, 209-226, (1983).
20. Grimvall, G., Thermophysical properties of materials, 255, Elsevier Science B.V., (1999).
21. https://www.matdat.com
22. 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).
23. 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).