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A generative process planning system for cold extrusion

机译:用于冷挤压的生产过程计划系统

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摘要

In this paper, a CAPP system GIFTEP (Generative, Interactive, Feature-based Technology for Extruded Products) based on a generative approach is proposed for forward cold extrusion of complex-shape solid components to be extruded through single-hole dies. This is an attempt, using the previous efforts of Kumar et al. 1999 and 2002), made by the authors to bridge the gap between CAD and CAM practices related to cold extrusion. A feature recognition methodology, an upper bound model, an optimum die profile, a defect prediction criteria, criteria to choose a die arrangement and a simple adiabatic model to account for the temperature of extrudate proposed in the previous work of Kumar are taken as the foundation modules for the purpose. Based on the component layout, a recognition module provides necessary data to carry out the die design process. The input parameter selection module first selects the input parameters provided by the user (material, reduction, billet condition, production type, etc.) or the default values from a database (die material, profile, die arrangement, accessories, etc.). The process parameter determination module carries out the optimization and calculates the optimal process parameters for two different criteria. Finally, an optimal process plan corresponding to both criteria are generated. The methodology is implemented in C through examples.
机译:本文提出了一种基于生成方法的CAPP系统GIFTEP(基于生成,交互,基于特征的挤压产品技术),用于对要通过单孔模具挤压的复杂形状固体组件进行正向冷挤压。这是使用Kumar等人先前的尝试进行的尝试。作者(1999年和2002年)提出,以弥补与冷挤压有关的CAD和CAM实践之间的差距。以特征识别方法,上限模型,最佳模具轮廓,缺陷预测标准,选择模具排列的标准以及考虑库马尔先前工作中提出的挤出物温度的简单绝热模型为基础目的模块。基于组件布局,识别模块提供必要的数据以执行模具设计过程。输入参数选择模块首先选择用户提供的输入参数(材料,压下量,坯料条件,生产类型等)或数据库中的默认值(模具材料,型材,模具布置,配件等)。过程参数确定模块执行优化,并针对两个不同的标准计算最佳过程参数。最后,生成与两个标准相对应的最佳工艺计划。该方法通过示例在C中实现。

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