Data for Design of porthole aluminium extrusion dies through mathematical formulation

A mathematical approach to solve the porthole die design problem is achieved by statistical analysis of a large amount of geometric data of successful porthole die designs. Linear and logarithmic regression are used to analyse geometrical data of 596 different ports from 88 first trial dies. Non-significant variables or high correlated variables are discarded according to knowledge of the extrusion process and statistical criteria. This investigation focuses on a validation model for a typical case of porthole dies: four cavities and four ports per cavity dies. This mathematical formulation is a way of summarizing in a single expression the experience accumulated in a large number of designs over time. From 88 tried and tested four cavities and four ports per cavity porthole die designs, a huge number of geometrical variables of ports geometry and profiles geometries are analysed. Two files are provided: an SPSS data file and an SPSS result file

本研究通过对大量成功分流模（porthole die）设计的几何数据开展统计分析，建立了一种求解分流模设计问题的数学方法。研究采用线性回归与对数回归方法，对88套首试模具的596个不同分流孔的几何数据进行分析。结合挤压工艺知识与统计准则，剔除无显著性意义的变量及高相关性变量。本研究针对典型分流模结构构建验证模型，该结构为4个型腔且每个型腔带有4个分流孔的分流模。该数学公式可将长期以来大量模具设计中积累的经验，以单一表达式的形式进行归纳总结。本次研究针对88套经过验证的4型腔、每型腔4分流孔的分流模设计，对海量的分流孔几何与型材几何变量开展了分析。本数据集附带两个文件：SPSS数据文件与SPSS结果文件。