FINITE ELEMENT ANALYSIS OF AN ALUMINIUM SHAPING TOOL AND TITANIUM WORKPIECE

Year 2021, Volume: 5 Issue: 3, 67 - 70, 30.09.2021

Blessıng Ngozı Goodluck Alıemeke , Tommy Iyore

Abstract

The Finite Element Analysis (FEA) of an Aluminium shaping tool on Titanium workpiece is presented. A detailed analysis of aluminium tool and titanium workpiece was conducted using Full factorial method and FEA technique. The finite element analysis was carried out using Explicit dynamic tool of the ANSYS workbench software. In recent years, Finite element analysis (FEA) have become widely used in research and industrial applications because of the advancements in computational efficiency and speed. In predicting cutting force of the aluminum tool a mathematical model was developed using Full factorial method and multiple linear regression technique.The developed mathematical model was adequate with R2 and adj R2 values of 98.0% and 89.0% respectively. The predicted R2 value was 0.89.The maximum and minimum stress values of the cutting tool are 495.42Mpa and 7.71Mpa respectively. Also, a maximum deformation of 79.49mm and strain of 3.95mm were obtained for the workpiece.
Keywords: Finite Element Analysis, Full factorial method, shaping tool and multiple linear regression.

Keywords

Finite Element Analysis, Full factorial method, shaping tool, multiple linear regression

Supporting Institution

Auchi Polytechnic, Nigeria

Project Number

1

Thanks

Thank you for presenting academics a platform to contribute to knowledge

References

• [1] K. P. Maity and P. K. Swain, “An Experimental Investigation of Hot-machining to Predict Tool Life”, Journal of Materials Processing Technology, Vol. 19, No. 198, pp. 344–349, 2008.
• [2] C. Z. Duan, T. Dou, Y. J. Cai and Y. Y. Li, “ Finite Element Simulation and Experiment of Chip Formation Process during High Speed Machining of AISI 1045 Hardened Steel”, International Journal of Recent Trends in Engineering, Vol 1, No. 5, pp. 47-50, 2009 .
• [3] M. Takács and B. Z. Farkas, “Theoretical and Experimental Investigation of Machining of AISI H13 Steel”, Advanced Materials Research 818, pp. 187-192, 2013.
• [4] J. Beno, “Outline of FEM Simulation and Modelling of Hard Turning Process”, Journal for Material Processing Technology, Vol. 86, No. 2, pp. 14–21, 2011.
• [5] K. V. Maheswara, “Optimization of AISI Steel in Lathe Turning Machine Using Taguchi Method”, International Journal of Advanced Science and Technology,Vol. 93,No. 2, pp. 1-14, 2006.
• [6] A. R. Bhattacharya and G. Faria, “ Regression analysis for Predicting surface finish and its application in the determination of optimum machining conditions”, Journal of Engineering for Industry, Vol. 4, No. 43, pp. 711-714, 2015.
• [7] L. Tang and J. Huang, “Finite element modeling and simulation in dry hard orthogonal cutting AISI D2 tool steel with CBN cutting tool”, International Journal of Advanced Manufacturing Technology, 23 (7). pp 827-835, (2011) [8] M. Sadeghifar, R. Sedaghati, W. Joma. and V. Songmene, “Finite element analysis and response surface method for robust multi-performance optimization of radial turning of hard 300M steel”, International Journal for Advanced Manufacturing, Vol. 94, No. 14, pp. 2457–2474, 2018.
• [9] N. Elmagrabi, C.H. Hassan, A. G. Jaharah and F. M. Shuaeib, “High Speed Milling of Ti-6Al-4V Using Coated Carbide Tools", European Journal of Scientific Research, Vol.22, No. 8 pp.153-162, 2008
• [10] X. Yang and C. R. Liu, “A New Stress based model of Friction Behavior in Machining and its significant Impact on Residual Stresses computed by Finite Element Method”, International Journal of Mechanical Sciences, Vol. 4, No. 44, pp. 703-723, 2002.
• [11] M. Davami and M. Zadshakoyan, “Investigation of Tool Temperature and Surface Quality in Hot Machining of Hard-to-Cut Materials”, World Academy of Science, Engineering and Technology, Vol. 2, No. 22, pp. 102-110, 2008.
• [12] K. M. Basil and R. Tina, “Optimization of Cutting parameters in Hard Turning of AISI 4340 Steel” , International Journal of Innovative Research in Advanced Engineering, Vol.1, No. 8, pp. 24-30, 2014.
• [13] B. N. G. Aliemeke and M. H. Oladeinde, “Genetic Algorithm Optimization of Sand Casting Process Parameters on the Fatigue Strength of Recycled Petrol Generator Pistons”, International Journal of Engineering Science and Application, Vol. 4, No.1, pp. 45-51, 2020.
• [14] H. K. Tönshoff, K. S. Woon, M. Rahman, F. Z. Fang, K. S. Neo and K. Liu, “Investigations of tool edge radius effect in micromachining: A FEM simulation approach”, Journal of Materials Processing Technology, Vol. 195, Issues 1-3, pp 204-211, 2008. [15] A. Maurel, M. Fontaine, S. Thibaud, G. Michel and J. C. Gelin, “Experiments and FEM Simulations of Milling Performed to Identify Material Parameters”, International Journal of Material Forming, Vol. 1, Issue 1, pp 1435-1438, 2008.
• [16] C. I. Ibrahim, “Mathematical Modeling of Process Parameters on Hard Turning of AISI316 SS by WC Insert”, Journal of Scientific Industrial and Research, Vol. 68, No. 63, pp. 592-599, 2010.
• [17] S. Y. Hong, I. Markus and W. C. Jeong, “New Cooling Approach and Tool Life Improvements in Cryogenic Machining of Titanium Alloy Ti- 6Al-4V”, International Journal of Machine Tools & Manufacture, Vol. 5, No. 41, pp. 2245-2260, 2007.