Nedeljko Dučić, Žarko Ćojbašić, Radomir Radiša, Radomir Slavković, Ivan Milićević

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The paper proposes methodology of feeder design and optimization for sand casting process. Casting part is a part of excavator buckets, i.e. holder of the cutting tooth. Process of design and optimization is based on the application of the rules, which are the result of many years of work researchers in the field of metal casting. Computer Aided Design (CAD) is used as a methodology in the design of feeders. Genetic Algorithm (GA) as an artificial intelligence technique is used in the optimization process of the feeder geometry. Computer Aided Manufacturing (CAM) is used as methodology that involves numerical simulation of the casting process. Numerical simulation is used to verify the validity of the optimized geometry of the feeding system.


Sand Casting, Feeder System, Optimization, Genetic Algorithm, Numerical Simulation

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ASM Handbook Committee, 2002, ASM Metals HandBook, ASM International, 1246 p.

Ravi, B., Srinivasan, M., 1996, Casting solidification analysis by modulus vector method, Int. J. Cast. Met. Res., 9(1), pp. 1–7.

Jacob, E., Sasikumar, R., Praveen, B., Gopalakrishna, V., 2004, Intelligent design of feeders for castings by augmenting CAD with genetic algorithms, Journal of Intelligent Manufacturing, 15(3), pp. 299–305.

Tavakoli, R., Davami, P., 2008, Optimal riser design in sand casting process by topology optimization with SIMP method I: Poisson approximation of nonlinear heat transfer equation, Structural and Multidisciplinary Optimization, 36(2), pp. 193-202.

Tavakoli, R., Davami, P., 2009, Optimal riser design in sand casting process with evolutionary topology optimization, Structural and Multidisciplinary Optimization, 38(2), pp. 205-214.

Kotas, P., Tutum, C. C., Hattel, J. H., Snajdrova, O., Thorborg, J., 2010, A casting Yield optimization case study: forging ram, International Journal of Metalcasting, 4(4), pp. 61-76.

Sutaria, M., Joshi, D., Jagdishwar, M., Ravi, B., 2011, Automatic optimization of casting feeders using feed-paths generated by VEM, Proceedings of the ASME 2011 International Mechanical Engineering Congress & Exposition, 2011, Denver, Colorado, USA.

Choudhari, C. M., Dalal, N. S., Ghude, A. P., Sankhe, P. P., Dhotre A.S., 2013, Design and analyisis of riser for sand casting, International Journal of Students Research in Technology & Management, 1(2), pp. 176-191.

Campbell, J., 2011, Complete casting Handbook, 1st Edition, Elsevier, 661 p.

Holland, J. H., 1992, Adaptation in natural and artificial systems, MI: University of Michigan Press, Ann Arbor, 82 p.

De Jong, K., 1980, Adaptive system design: A genetic approach, IEEE Transactions on Systems, Man, and Cybernetics, 10(9), pp. 556-574.

De Jong, K., 1985, Genetic algorithms: A 10 year perspective, Proceedings of the First International Conference on Genetic Algorithms and Their Applications, Pittsburgh, PA: Lawrence Erlbaum.

De Jong, K., 1988, Learning with Genetic Algorithms: An Overview, Machine Learning, 3(2-3), pp. 121-138.

Goldberg, E. D., 2006, Genetic Algorithms, Pearson Education, 62 p.

Kotas, P., 2011, Integrated modeling of process, structures and performance in cast parts, Ph.D. Thesis, Technical University of Denmark - Department of Mechanical Engineering, Denmark, 50 p.

Fang, Y., Hu, J., Zhou, J., Yu, Y., 2014, Numerical Simulation of Filling and Solidification in Exhaust Manifold Investment Casting, International Journal of Metalcasting, 8(4), pp. 39-45.

Jeong, S., Jin, C., K., Seo, H., Y., Kim, J., D., Kang, C., G., 2015, Mold structure design and casting simulation of the high-pressure die casting for aluminum automotive clutch housing manufacturing, The International Journal of Advanced Manufacturing Technology, doi 10.1007/s00170-015-7566-4.



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