Optimization of the Gating System for Sand Casting Using Genetic Algorithm

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 MAGMA 5 ) has been used to verify the validity of the optimized geometry of the gating system.

Enhanced control of radiator heating system

“…For controller optimization three metaheuristic techniques have been used: genetic algorithms (GA), simulated annealing (SA), and particle swarm optimization (PSO). The GA [9] are the most popular and widely used metaheuristic optimization technique, representing abstraction model of biological natural selection, based on Darwin's theory of evolution. The SA optimization was designed using analogy with metal annealing [9], and as other metaheuristic optimization algorithms is a technique possessing main ability to avoid being trapped in local optima unlike deterministic optimization techniques.…”

“…The GA [9] are the most popular and widely used metaheuristic optimization technique, representing abstraction model of biological natural selection, based on Darwin's theory of evolution. The SA optimization was designed using analogy with metal annealing [9], and as other metaheuristic optimization algorithms is a technique possessing main ability to avoid being trapped in local optima unlike deterministic optimization techniques. Finally, the PSO is a technique developed on resembling swarm behavior, such as fish and bird schooling [9].…”

“…The SA optimization was designed using analogy with metal annealing [9], and as other metaheuristic optimization algorithms is a technique possessing main ability to avoid being trapped in local optima unlike deterministic optimization techniques. Finally, the PSO is a technique developed on resembling swarm behavior, such as fish and bird schooling [9].…”

Application of CAD/CAE/CAM Systems in Permanent-Mold Casting Improvement

“…Particularly, the authors emphasized the significance of gating system design and feeding system design for the correctness of the casting part through numerous simulations in the mentioned software [9]. Dučić et al (2017) presented the optimization of the sand-casting process by using the MAGMASoft software package. By simulating casting process, the authors verified the validity of designed casting system (basin, sprue, runner, ingates, feeders) [10,11].…”

Casting Improvement Based on Metaheuristic Optimization and Numerical Simulation

“…Duĉić et al [5] presented optimization of chemical composition in the manufacturing process of flotation balls based on intelligent soft sensing. Duĉić et al [6] presented optimization of the gating system for sand casting using genetic algorithm. The implementation of modern CAD/CAM software systems is frequent in the research projects of the casting process, as well as the combination of modern CAD/CAM software systems and methods of metaheuristic optimization.…”