Investigation of the effect of thermal diffusivity coefficient of tool material on electrode-tool wear in the EDM process

• Autorzy: Joudivand Sarand M. H. , Shabgard M. R.

Identyfikatory

DOI

10.1016/j.acme.2015.06.009

• Języki publikacji: EN

Abstrakty

EN

Tool wear occurrence causes a variety of difficulties including expensive and inaccurate cutting processes. Therefore, it is imperative to determine which parameter has the most influence on tool erosion rate. Since EDM is basically a thermal process, it is mostly affected by thermo physical properties of tool material. This becomes more important in numerically modeling of EDM process which contributes a better understanding of the wear mechanism. This study aimed to examine the effect of thermal diffusivity on tool erosion rate which has not yet been investigated in detail. Therefore, the experiments were conducted using copper alloy, copper-iron alloy, aluminum alloy and graphite as tools and AISI H13 as workpiece. Additionally, numerical simulation of tool wear was performed using Levenberg–Marquardt technique to gain better understanding of tool wear phenomenon. Results revealed that, increase of thermal diffusivity of tool material decreases tool wear rate. It is observed that in the experiments, performed using tool electrodes with low thermal diffusivity coefficient, the increase of wear rate is significantly intensified with increase of current and pulse on-time. Comparative analysis of the experimental and numerical results indicates that the introduced numerical simulation is capable of estimating tool wear rate with 5% average error, approximately.

Słowa kluczowe

EN

EDM; diffusivity; inverse; resolidified; wear

PL

EDM; obróbka skrawaniem; zużycie narzędzi

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2015
• Tom: Vol. 15, no. 4
• Strony: 806--821
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Joudivand Sarand M. H.

• Mechanical Engineering, Mechanic Faculty, Tabriz University, 29 Bahaman Boulevard, Tabriz, Iran

autor

Shabgard M. R.

• Mechanical Engineering, Mechanic Faculty, Tabriz University, 29 Bahaman Boulevard, Tabriz, Iran

Bibliografia

• [1] P.T. Eubank, M.R. Patel, M.A. Barrufet, B. Bozkurt, Theoretical models of the electrical discharge machining process. III. The variable mass, cylindrical plasma model, Journal of Applied Physics 73 (1993) 7900–7909.
• [2] T. Muthuramalingam, B. Mohan, A review on influence of electrical process parameters in EDM process, Archives of Civil and Mechanical Engineering 15 (2015) 87–94.
• [3] T. Muthuramalingam, B. Mohan, Performance analysis of iso current pulse generator on machining characteristics in EDM process, Archives of Civil and Mechanical Engineering 14 (2014) 383–390.
• [4] N. Mathew, D. Kumar, Study of tool wear rate of different tool materials during electric discharge machining of H11 steel at reverse polarity, International Journal of Mechanical Engineering and Robotics Research 3 (2014) 53–63.
• [5] R. Roth, H. Balzer, F. Kuster, K. Wegener, Influence of the anode material on the breakdown behavior in dry electrical discharge machining, Procedia CIRP 1 (2012) 639–644.
• [6] F. Klocke, M. Schwade, A. Klink, D. Veselovac, Analysis of material removal rate and electrode wear in sinking EDM roughing strategies using different graphite grades, Procedia CIRP 6 (2013) 163–167.
• [7] H. Kansal, S. Singh, P. Kumar, Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method, Mathematical and Computer Modelling 47 (2008) 1217–1237.
• [8] J.V. Beck, B. Blackwell, C.R.S. Clair, Inverse Heat Conduction: Ill-Posed Problems, first ed., Wiley, New York, 1985.
• [9] H. Qiang, H. Yong, Z. Wansheng, Research of two-dimension EDM spark locations detection using electromagnetic method, Measurement 31 (2002) 117–122.
• [10] S. Yeo, W. Kurnia, P. Tan, Critical assessment and numerical comparison of electro-thermal models in EDM, Journal of Materials Processing Technology 203 (2008) 241–251.
• [11] S. Suthangathan Paramashivan, J. Mathew, S. Mahadevan, Mathematical modeling of aerosol emission from die sinking electrical discharge machining process, Applied Mathematical Modelling 36 (2012) 1493–1503.
• [12] D.W. Hahn, N. Ozisik, Heat Conduction, third ed., Wiley, New York, 2012.
• [13] N. Ozisik, Inverse Heat Transfer: Fundamentals and Applications, first ed., Taylor & Francis, New York, 2000.
• [14] S.N. Joshi, S.S. Pande, Thermo-physical modeling of die-sinking EDM process, Journal of Manufacturing Processes 12 (2010) 45–56.
• [15] S. Joshi, S. Pande, Intelligent process modeling and optimization of die-sinking electric discharge machining, Applied Soft Computing 11 (2011) 2743–2755.