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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.
Optimization, Genetic Algorithm, Sand Casting, TJ1-1570, Mechanical engineering and machinery, Feeder System, Numerical Simulation
Optimization, Genetic Algorithm, Sand Casting, TJ1-1570, Mechanical engineering and machinery, Feeder System, Numerical Simulation
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