Finite Element Method and Experimental Investigation of Hot Turning of Inconel 718

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In the present work, a finite element modeling of hot turning has been carried out for predicting computationally the state variables like temperature distribution on chip surface and cutting forces in hot machining of Inconel 718. The hot turning operation has been carried out with L9 orthogonal design of experiment (DOE) with varying cutting speed, feed rate, heating temperature and constant depth of cut to analyze the responses. The model predicts the temperature distribution, cutting forces with and without heating. DEFORM 2D is applied for modeling hot turning simulation as similar as possible to the experimental result. Flow stress and input parameters should be modeled according to the actual machining conditions. The predicting results i.e. cutting forces and temperature distribution were partially validated with the experimental data.

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24-32

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April 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Singh, M. Teli, A. Samanta, and R. Singh, Finite element modeling of laser-assisted machining of AISID2 tool steel, Materials and Manufacturing Processes. 28, (2013) 443-448.

DOI: 10.1080/10426914.2012.700160

Google Scholar

[2] H. Zamini, J. Hermani, B. Sonderegger, and C. Sommitsch, Numerical and Experimental Investigation of Laser Assisted side Milling of Ti6Al4V Alloy, Material Science and Technology (MS&T) (2012).

DOI: 10.4028/www.scientific.net/kem.554-557.2054

Google Scholar

[3] H. Zamini, J. Hermani, B. Sonderegger, and C. Sommitsch, 3D Simulation of Laser Assisted side Milling of Ti6Al4V alloy using Modified Johnson-Cook Material Model, Key Engineering Materials, Vols. 554-557 (2013) 2045-(2061).

DOI: 10.4028/www.scientific.net/kem.554-557.2054

Google Scholar

[4] B. Shi, H. Attia, R. Vargas and S. Tavakoli, Numerical and Experimental Investigation of laser-assisted machining of Inconel 718. Machining Science and Technology. 12 (2008) 498-513.

DOI: 10.1080/10910340802523314

Google Scholar

[5] R. Muhammad, N. Ahmed, Y. Shariff and V. Silberschmidt, Finite-Element Analysis of Forces in Drilling of Ti-Alloys at Elevated Temperature, Solid State Phenomena. Vol. 188 (2012) 250-255.

DOI: 10.4028/www.scientific.net/ssp.188.250

Google Scholar

[6] R. Muhammad, N. Ahmed, Y. Shariff and V. Silberschmidt, Hot ultrasonic assisted turning of β-Ti alloy. Procedia CIRP 1 (2012) 336-341.

DOI: 10.1016/j.procir.2012.04.060

Google Scholar

[7] R. Muhammad, N. Ahmed, Y. Shariff and V. Silberschmidt, Numerical Modeling of Vibration-Assisted Turning of Ti-15333, Procedia CIRP 1 (2012) 347-352.

DOI: 10.1016/j.procir.2012.04.062

Google Scholar

[8] C. Duan, Y. Cai, Y. Li, and M. Wang, Finite element simulation of cutting temperature field during high speed machining hardened steel based on ABAQUS, Second International Conference on Intelligent Computing Technology and Automation. (2009).

DOI: 10.1109/icicta.2009.549

Google Scholar

[9] P. Mottaghizadeh, M. Bagheri, 3D modeling of temperature by finite element in machining with experimental authorization. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol 6, (2012).

Google Scholar

[10] Y. R. Bhoyar, and P.D. Kamble, Finite element analysis on temperature distribution turning process using DEFORM-3D, International Journal of Research in Engineering and Technology, ISSN: 2319-1163.

DOI: 10.15623/ijret.2013.0205030

Google Scholar

[11] A. Attanasio, E. Ceretti, A. Fiorentino, C. Cappellini, and C. Giardini, Investigation and FEM-based simulation of tool wear in turning operations with uncoated carbide tools, Wear 269 (2010) 344-350.

DOI: 10.1016/j.wear.2010.04.013

Google Scholar

[12] DEFORM 2D version 8. 2 User's Manual, Scientific Forming Technologies Corporation Columbus, Ohio. (2008).

Google Scholar

[13] F. Klocke, D. Lung, and S. Buchkremer, Inverse identification of the constitutive equation of Inconel 718 and AISI 1045 from FE machining simulation, Procedia CIRP 8 (2013) 212-217.

DOI: 10.1016/j.procir.2013.06.091

Google Scholar

[14] L. Filice, F. Micari, S. Rizzuti, and D. Umbrello, Dependence of machining simulation effectiveness on material and friction modeling, Machining Science and Technology, 12 (2008) 370-389.

DOI: 10.1080/10910340802305969

Google Scholar