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Numerical Analysis and Optimization of Engine Valves

Year 2017, 2017: Special Issue, 19 - 25, 11.10.2017

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.

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.
Year 2017, 2017: Special Issue, 19 - 25, 11.10.2017

Abstract

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.
There are 10 citations in total.

Details

Journal Section Article
Authors

Abdulkadir Yaşar

Ali Keskin

Kerimcan Çelebi

Publication Date October 11, 2017
Submission Date October 10, 2017
Published in Issue Year 2017 2017: Special Issue

Cite

APA Yaşar, A., Keskin, A., & Çelebi, K. (2017). Numerical Analysis and Optimization of Engine Valves. International Journal of Automotive Engineering and Technologies19-25.
AMA Yaşar A, Keskin A, Çelebi K. Numerical Analysis and Optimization of Engine Valves. International Journal of Automotive Engineering and Technologies. Published online October 1, 2017:19-25.
Chicago Yaşar, Abdulkadir, Ali Keskin, and Kerimcan Çelebi. “Numerical Analysis and Optimization of Engine Valves”. International Journal of Automotive Engineering and Technologies, October (October 2017), 19-25.
EndNote Yaşar A, Keskin A, Çelebi K (October 1, 2017) Numerical Analysis and Optimization of Engine Valves. International Journal of Automotive Engineering and Technologies 19–25.
IEEE A. Yaşar, A. Keskin, and K. Çelebi, “Numerical Analysis and Optimization of Engine Valves”, International Journal of Automotive Engineering and Technologies, pp. 19–25, October 2017.
ISNAD Yaşar, Abdulkadir et al. “Numerical Analysis and Optimization of Engine Valves”. International Journal of Automotive Engineering and Technologies. October 2017. 19-25.
JAMA Yaşar A, Keskin A, Çelebi K. Numerical Analysis and Optimization of Engine Valves. International Journal of Automotive Engineering and Technologies. 2017;:19–25.
MLA Yaşar, Abdulkadir et al. “Numerical Analysis and Optimization of Engine Valves”. International Journal of Automotive Engineering and Technologies, 2017, pp. 19-25.
Vancouver Yaşar A, Keskin A, Çelebi K. Numerical Analysis and Optimization of Engine Valves. International Journal of Automotive Engineering and Technologies. 2017:19-25.