Numerical Analysis and Optimization of Engine Valves

Abdulkadir Yaşar, Ali Keskin, Kerimcan ÇELEBİ
79 15

Abstract


Application of mathematical modelling and numerical methods is a key element of optimum vehicle In this study, the effects of various materials, fillet radius and diameter of an engine valve on stress concentration error were investigated. Multiple regression analysis was employed to derive the predictive equations of the Von Mises Stress and displacement error achieved via experimental design and their results are found in ANSYS software. For this purpose, two material as cast iron and aluminum, radius condition as with radius and without radius and also diameter with 5 and 6 mm considered as control factors. Optimal control factors for the stress concentration were determined by using Taguchi technique. Minimum von mises stress and displacement were obtained by means of ANSYS software. Confirmation experiments showed that Taguchi method precisely optimized the control parameters on stress concentration.

Keywords


Engine valves, Computer Aided Design, Finite Element Analysis, Taguchi method

Full Text:

PDF


References


Atashkari, K., Nariman-Zadeh, N., Golcu, M. (2007). Khalkhali, A. and Jamali, A., Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms. Energy Conversion and Management, Volume 48, Issue 3, pp. 1029–1041.

Jaswin, M. A. and Mohan Lal, D. (2010). Optimization of the Cryogenic Treatment Process for En 52 Valve Steel Using the Grey-Taguchi Method. Materials and Manufacturing Processes, vol. 25, pp. 842–850.

Da Silva, F.J., Franco, S.D., Machado, A.R., Ezugwu, E.O. and Souza, Jr. A.M. (2006). Performance of cryogenically treated HSS tools. Wear, vol. 261, no. 5-6, pp. 674-685.

Young, A.Y.L., Seah, K.H.W. and Rahman, M. (2006). Performance evaluation of cryogenically treated tungsten carbide tools in turning. International Journal of Machine Tools & Manufacture, vol. 46, no. 15, pp. 2051-56.

Nalbant, M., Gokkaya, H., Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials and Design, vol. 28, no. 4, p. 1379-1385.

Korkut, I., Kucuk, Y. (2010). Experimental Analysis of the Deviation from Circularity of Bored Hole Based on the Taguchi Method. Strojniški vestnik - Journal of Mechanical Engineering, vol. 56, no. 5, p. 340-346.

Lin, Y.C., Chen, Y.F., Wang, D.A., Lee, H.S. (2009). Optimization of machining parameters in magnetic force assisted EDM based on Taguchi method. Journal of Materials Processing Technology, vol. 209, no. 7, p. 3374-3383.

Šibalija, T., Majstorović, V., Soković, M. (2011). Taguchi-Based and Intelligent Optimisation of a Multi- Response Process Using Historical Data. Strojniški vestnik - Journal of Mechanical Engineering, vol. 57, no. 4, p. 357-365.

Yang, J.L., Chen, J.C. (2001). A systematic approach for identifying optimum surface roughness performance in end-milling operations. Journal of Industrial Technology, vol. 17, no. 2, p. 1-8.

Furness, R.J., Wu, C.L., Ulsoy, A.G. (1996). Statistical analysis of the effects of feed, speed, and wear of hole quality in drilling. Journal of Manufacturing Science and Engineering, vol. 118, no. 3, p. 367-375.




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

ISSN: 2146-9067