Skip to main content

Optimization of the Gating System for Sand Casting Using Genetic Algorithm

International Journal of Metalcasting volume 11, pages 255–265 (2017)Cite this article

Abstract

The paper presents a methodology of optimization of the gating system for sand casting using the genetic algorithm. Software package for computer-aided design/computer-aided manufacturing (CAD/CAM) was used as the support to the design and verification of the optimized gating system. The geometry of the gating system of sand casting in excavator tooth holder was the subject of optimization. The objective was to maximize filling rate given the constraints posed by both the ingate module and Reynolds number. Mold filling time has been presented as a function of the ingate cross section and casting height. Given the conditions above, as the result of the optimization, a complete geometry of the gating system has been defined. Numerical simulation (software MAGMA5) has been used to verify the validity of the optimized geometry of the gating system.

This is a preview of subscription content, access via your institution.

Access options

Buy single article

Instant access to the full article PDF.

USD 39.95

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18

References

  1. E. Jacob, R. Sasikumar, B. Praveen, V. Gopalakrishna, J. Intell. Manuf. 15, 299–305 (2004)

    Article  Google Scholar 

  2. M.H. Masoumi, H. Hu, J. Hedjazi, M.A. Boutorabi, AFS Trans. 113, 185–196 (2005)

    Google Scholar 

  3. C.E. Esparza, M.P. Guerrero-Mata, R.Z. Rios-Mercado, Compt. Mater. Sci. 36, 457–467 (2006)

    Article  Google Scholar 

  4. S. Guharaja, A.N. Haq, K.M. Karuppannan, Int. J. Adv. Manuf. Technol. 30, 1040–1048 (2006)

    Article  Google Scholar 

  5. R. Tavakoli, P. Davami, Struct. Multidiscipl. Optim. 36, 193–202 (2007)

    Article  Google Scholar 

  6. Z. Sun, H. Hu, X. Chen, J. Mater. Process. Technol. 199, 256–264 (2008)

    Article  Google Scholar 

  7. J. Kor, X. Chen, H. Hu, in IEEE International Symposium on Intelligent Control (Saint Petersburg, 2009), pp. 428–433

  8. P. Kotas, C.C. Tutum, J.H. Hattel, O. Snajdrova, J. Thorborg, Int. J. Metalcast. 4, 61–76 (2010)

    Article  Google Scholar 

  9. V.D. Shinde, D. Joshi, B. Ravi, K. Narasimhan, J. Mater. Eng. Perform. 21, 1574–1581 (2012)

    Google Scholar 

  10. A. Kumaravadivel, U. Natarajan, Int. J. Adv. Manuf. Technol. 66, 695–709 (2012)

    Article  Google Scholar 

  11. J.O. Oji, S.G. Datau, K.J. Akinluwade, A.T. Taiwo, D.A. Isadare, S.H. Pamtoks, A.R. Adetunji, J. Miner. Mater. Charact. Eng. 1, 250–256 (2013)

    Google Scholar 

  12. B. Surekha, L.K. Kaushik, A.K. Panduy, P.R. Vundavilli, M.B. Parappagoudar, Int. J. Adv. Manuf. Technol. 58, 9–17 (2012)

    Article  Google Scholar 

  13. J.H. Holland, Adaptation in Natural and Artificial Systems (MIT Press/Bradford Book, Cambridge, 1992)

    Google Scholar 

  14. K. De Jong, in IEEE Transactions on Systems, Man, and Cybernetics (Springer, 1980), vol. 10(3), pp. 556–574

  15. K. De Jong, in Proceedings of the First International Conference on Genetic Algorithms and Their Applications (Pittsburgh, 1985)

  16. K. De Jong, Mach. Learn. 3, 121–138 (1988)

    Google Scholar 

  17. E.D. Goldberg, Genetic Algorithms (Pearson Education, Upper Saddle River, 2006)

    Google Scholar 

  18. B. Ravi, METAL CASTING, Computer-Aided Design and Analysis (Prentice-Hall, New Delhi, 2005)

    Google Scholar 

  19. P. Larsen, Iron melt flow in thin walled sections cast in vertically parted green sand moulds. Dissertation (Technical University of Denmark, 2004)

  20. J. Campbell, Complete Casting Handbook, 1st edn. (Elsevier, Oxford, 2011)

    Google Scholar 

  21. ASM Handbook Committee, ASM Metals HandBook (ASM International, Almere, 2002)

    Google Scholar 

Download references

Acknowledgments

The paper is the result of the work of the authors on two projects funded by the Ministry of Education and Science of Republic of Serbia: TR35037 and TR35015.

Author information

Authors and Affiliations

  1. Faculty of Technical Sciences Čačak, University of Kragujevac, Svetog Save 65, 32000, Čačak, Serbia

    Nedeljko Dučić, Radomir Slavković & Ivan Milićević

  2. Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000, Niš, Serbia

    Žarko Ćojbašić

  3. Lola Institute, Kneza Višeslava 70a, 11030, Belgrade, Serbia

    Srećko Manasijević & Radomir Radiša

Authors
  1. Nedeljko Dučić
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Žarko Ćojbašić
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Srećko Manasijević
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Radomir Radiša
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Radomir Slavković
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ivan Milićević
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Srećko Manasijević.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Dučić, N., Ćojbašić, Ž., Manasijević, S. et al. Optimization of the Gating System for Sand Casting Using Genetic Algorithm. Inter Metalcast 11, 255–265 (2017). https://doi.org/10.1007/s40962-016-0040-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40962-016-0040-8

Keywords

  • genetic algorithm
  • numerical simulation
  • gating system
  • optimization
  • sand casting