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Improving a Low Pressure Mold Filling Sequence for Reduced Casting Defects Using Experimentation, Simulation and Numerical Optimization Techniques

机译:使用实验,仿真和数值优化技术改善铸造缺陷的低压模具填充序列

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The filling process of a low pressure die cast (LPDC) aluminium alloy (A356) wheel is being investigated at Ford Alloy Wheel Plant (AWP) in New Zealand. Until recently, attention was focused on the thermal and solidification stages of this casting process and their associated defect causing attributes. A previous publication (Singh et al.), demonstrated an 80% increase in productivity and subsequent decreases in scrap rate by optimising only the solidification phase of the casting process. The work presented in this paper shifts the focus to the metal filling stage and the effects this has on the finished product. Modeling and numerical optimisation techniques, coupled with laboratory experimentation and casting trials have been employed to quantify the relationship between inlet velocities, furnace pressures and mold filling times. The results of calibrating a 2D and 3D finite element model against experimental data have revealed adverse flow patterns of molten metal in typically defective regions of the cast product. These simulations identify some actual problematic areas within the wheel. The computationally predicted flow field is further supported with laboratory trials using a lull scale transparent die and water analog model Solutions to minimise these defects in both the design and process have been calculated and are currently being implemented at Ford Alloy Wheel Plant. Preliminary casting trials have already showed that an improved filling sequence can reduce typical defects attributable to metal flow, resulting in further improvement in casting quality.
机译:在新西兰福特合金轮厂(AWP)正在研究低压模铸(LPDC)铝合金(A356)轮的填充过程。直到最近,注意力集中在该铸造过程的热和凝固阶段及其相关的缺陷导致属性。先前的出版物(Singh等人。),通过仅优化铸造方法的凝固阶段,在生产率增加80%的生产率提高,随后的速率降低。本文提出的作品将重点转移到金属灌装阶段,并在成品上的效果。已经采用了建模和数值优化技术,与实验室实验和铸造试验相结合,以量化入口速度,炉压力和模具灌装时间之间的关系。校准2D和3D有限元模型对实验数据的结果揭示了铸造产品的缺陷区域中熔融金属的不利流动模式。这些模拟识别车轮内的一些实际问题区域。使用BULL SCALE透明模具和水模拟模型解决方案进一步支持计算预测的流场,以最小化已经计算设计和工艺的这些缺陷,目前在福特合金轮厂实施。已经表明,初步铸造试验已经表明改进的填充序列可以降低可归因于金属流的典型缺陷,从而进一步提高铸造质量。

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