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A Model To Predict Tie Bar Load Imbalance

机译:一种模型,以预测拉杆负荷不平衡

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The loads on the tie bars of a die casting machine are balanced to prevent flashing and tie bar failure. The distribution of the loads on the tie bars depend on the die footprint, die location, location of cavity center of pressure. The current die/machine setup guidelines uses only the location of center of pressure when determining the tie bar loads and moments. This approach assumes that the dies and machine platens are rigid. The objective of this study is to develop a regression model to predict the imbalance in the tie bars for given die and cavity setup and cavity pressure. The proposed model will also account for the elastic deformation of the dies and the platens. Seven factors namely, the die width, die height, cavity pressure and the die and cavity locations in the horizontal and vertical directions were studied. Five levels of each of these factors were considered and an experimental array with fifty runs representing different combinations of these factors was developed. For every treatment in the design array, the tie bar loads were predicted from static finite element simulations using ABAQUS FEA code and the load imbalances on the tie bars were calculated. A linear regression was performed on the data set with the seven factors as the predictor variables and the load imbalance on the four tie bars as the four response variables. The regression model is presented and the relative contribution of each of these factors on the tie bar load imbalance is discussed in this paper. The correlations between some of these factors are also investigated. The die location on the platen was found to be the most significant factor contributing to the tie bar load imbalance.
机译:压铸机连接杆上的负载平衡,以防止闪烁和系杆故障。系杆上的负载分布取决于模具占地面积,模具位置,腔压力中心的位置。当前模具/机器设置指南仅在确定系列杆负载和时刻时仅使用压力中心的位置。这种方法假定模具和机器压板是刚性的。本研究的目的是开发一种回归模型,以预测给定模具和腔体设置和腔压力的连接杆中的不平衡。所提出的模型还将考虑模具和压板的弹性变形。研究了七种因素,研究了水平和垂直方向上的模具宽度,模具高度,腔压力和模具和腔位置。已经考虑了这些因素中的每一个的五个水平,并且开发了具有五十次代表这些因素的不同组合的实验阵列。对于在设计阵列中的每种处理中,使用ABAQUS FEA码从静态有限元模拟预测连接杆载荷,并计算系带上的负载不平衡。在具有七个因素的数据集上执行线性回归作为预测变量以及四个绑定条上的负载不平衡作为四个响应变量。提出了回归模型,并在本文中讨论了这些因素中的每个因素的相对贡献。还研究了一些这些因素之间的相关性。压板上的模具位置被发现是导致领带杆负荷不平衡的最显着因素。

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