Radomir Radiša, Nedeljko Dučić, Srećko Manasijević, Nemanja Marković, Žarko Ćojbašić

DOI Number
First page
Last page


This paper presents the use of metaheuristic optimization techniques to support the improvement of casting process. Genetic algorithm (GA), Ant Colony Optimization (ACO), Simulated annealing (SA) and Particle Swarm Optimization (PSO) have been considered as optimization tools to define the geometry of the casting part’s feeder. The proposed methodology has been demonstrated in the design of the feeder for casting Pelton turbine bucket. The results of the optimization are dimensional characteristics of the feeder, and the best result from all the implemented optimization processes has been adopted. Numerical simulation has been used to verify the validity of the presented design methodology and the feeding system optimization in the casting system of the Pelton turbine bucket.


Metaheuristic Optimization, Sand Casting, Feeders, Numerical Simulation

Full Text:



Gravela, M., Priceb, L., W., Gagné, C., 2002, Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic, European Journal of Operational Research, 143 (1), pp. 218-229.

Santosa, C.A., Spimb, J.A., Garcia, A., 2003, Mathematical modeling and optimization strategies (genetic algorithm and knowledge base) applied to the continuous casting of steel, Engineering Applications of Artificial Intelligence, 16 (5-6), pp. 511-527.

Surekha, B., Kaushik, K.L., Panduy, K.A., Vundavilli, R.P., Parappagoudar, B. M., 2012, Multi-objective optimization of green sand mould system using evolutionary algorithms, The International Journal of Advanced Manufacturing Technology, 58 (1), pp. 9-17.

Slavković, R., Jugović, Z., Dragićević, S., Jovičić, A., Slavković, V., 2013, An application of learning machine methods in prediction of wear rate of wear resistant casting parts, Computers and Industrial Engineering, 64(3), pp. 850-857.

Dučić, N., Ćojbašić, Ž., Slavković, R., Jordović, B., Purenović, J., 2016, Optimization of chemical composition in the manufacturing process of flotation balls based on intelligent soft sensing, Hemijska industrija, 70(6), pp. 603-614.

Dučić, N., Ćojbašić, Ž., Manasijević, Radiša, R., Slavković, R., Milićević, I., 2017, Optimization of the Gating System for Sand Casting Using Genetic Algorithm, International journal of metalcasting, 11 (2), pp. 222-265.

Dabade, A. U., Bhedasgaonkar, C.R., 2013, Casting Defect Analysis using Design of Experiments (DoE) and Computer Aided Casting Simulation Technique, Procedia CIRP, 7, pp. 616-621.

Jie, Z., Dongqi, Z., Pengwei, W., Gang, W., Feng, L., Penglong, D., 2014, Numerical Simulation Research of Investment Casting for TiB2/A356 Aluminum Base Composite, Rare Metal Materials and Engineering, 43 (1), pp. 47-51.

Nimbulkara, L.S., Dalu, S.R., 2016, Design optimization of gating and feeding system through simulation technique for sand casting of wear plate, Perspectives in Science, 8, pp. 39-42.

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

Steel Founders' Society of America, 2001, Feeding & Risering Guidelines for Steel Castings, Steel Founders’ Society of America, 11 p.

Blum, C., Roli, A., 2003, Metaheuristics in combinatorial optimization: Overview and conceptual comparison, ACM Comput. Surv., 35, pp. 268-308.

Yang, X, -S., 2011, Metaheuristic Optimization, Scholarpedia, 6(8), 11472.

Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P., 1983, Optimization by simulated annealing, Science, 220(4598), pp. 671–680.

Official website of MagmaSoft software for casting simulation: (Last access 28th April 2017)

Manasijević, S., Radiša, R., Petrović, B., 2008, Skil and intuition of foundrymen or computer assisted casting, Livarstvo-Foundry, 47(1), pp. 1–11.

Radiša, R., Marković, S., Pristavec, J., Kvrgić, V., Manasijević, S., 2008, Use of CAE Techniques in Virtual design of Metalcasting technology-saving in Serbian Foundries, Livarstvo-Foundry, 47(1), pp. 12–24.

Radiša, R., Manasijević, S., Marković, S., 2009, Optimization technology of metal casting using software tool, Livarstvo-Foundy, 48(3), pp. 30–36.

Radiša, R., Gulišija Z., Manasijević, S., 2009, Optimization of casting process, Machine Design, 1, pp. 111–114.



  • There are currently no refbacks.

ISSN: 0354-2025 (Print)

ISSN: 2335-0164 (Online)

COBISS.SR-ID 98732551

ZDB-ID: 2766459-4