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OPTIMIZATION OF THE GATING SYSTEM FOR SAND CASTING USING GENETIC ALGORITHM

机译:使用遗传算法优化砂铸厂的浇注系统

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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.
机译:本文介绍了使用遗传算法的砂铸件的优化方法。 用于计算机辅助设计/计算机辅助制造(CAD / CAM)的软件包被用作对优化门控系统的设计和验证的支持。 挖掘机齿架中砂铸件的浇注系统的几何形状是优化的主题。 该目的是给定由Incate模块和雷诺数带来的约束的填充率。 模具灌装时间已作为相距横截面和铸造高度的函数呈现。 考虑到上述条件,由于优化的结果,已经定义了门控系统的完整几何形状。 数值模拟(软件岩浆5)已被用于验证门控系统的优化几何体的有效性。

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