Automated generation of virtual prototypes for extrusion dies

自动生成挤压模具虚拟原型

• 批准号: 240302041
• 负责人: Professor Dr.-Ing. Peter Köhler
• 金额: --
• 依托单位: Lehrstuhl für Konstruktion und Kunststoffmaschinen
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/240302041?language=en
• 关键词: Automated; generation; virtual; prototypes; extrusion

The motivation for this research project is the current lack of holistic approaches for the design and manufacturing of extrusion dies. Existing automatisms are limited to the optimization of the geometry of a die which forms out the final product geometry. All other parts of an extrusion die assembly like inlet, pre-distribution and nozzle region are mostly neglected, although they have an influence on the product quality. Because of this reason the aim of this research project is the implementation of a holistic approach for the automatic generation of a virtual prototype of an extrusion die. Besides the fully automated generation of all flow channel geometries under process technology aspects manufacturing knowledge becomes part of the model. In contrast to other projects a 3D-CAD-assembly that is manufacturing ready is used for the whole process. Combined with a consistent 3D-CFD-analysis the complexity of the results will be improved. Additionally the generality and efficiency of the whole optimization process is part of the process.In the second phase of the project, the research is once again composed of three essential key points. With regard to the approach of a holistic 3D CFD simulation an increase in quality of the results is intended. This will be achieved by adding additional factors of influence, such as the effects of the retention time of thermorheological complex materials or the implementation of three-dimensional transient currents, which allow the evaluation of the rinsing capabilities of tool assemblies. Another main focus of the research provides a methodology for the intelligent classification of successfully tested tool variants. This will be achieved by developing appropriate classification attributes for all influencing input parameters and the obtained optimization results, which will allow an easier identification of the correlation between those attributes. Furthermore, an enhancement of the master model variety for relevant tool variants is proposed, so that alternative predistributor variants can be included (in addition to the already examined star predistribution). The third key point will cover the development of new approaches for innovative design details for different components of the tool assembly. The second half of the project will still consider the design methodology of flow channels under both manufacturing and rheological aspects. For local details of the flow system however (for example the feed region of the secondary distribution), a detailed optimization is approached through innovative methods.

该研究项目的动机是目前缺乏挤压模具设计和制造的整体方法。现有的自动化仅限于优化形成最终产品几何形状的模具的几何形状。挤出模具组件的所有其他部件（如入口、预分配和喷嘴区域）大多被忽略，尽管它们对产品质量有影响。因此，该研究项目的目标是实施自动生成​​挤出模具虚拟原型的整体方法。除了在工艺技术方面完全自动生成所有流道几何形状外，制造知识也成为模型的一部分。与其他项目相比，整个过程使用已准备好制造的 3D-CAD 组件。结合一致的 3D-CFD 分析，结果的复杂性将会得到提高。另外，整个优化过程的通用性和效率也是过程的一部分。在项目的第二阶段，研究再次由三个基本关键点组成。整体 3D CFD 模拟方法旨在提高结果质量。这将通过添加额外的影响因素来实现，例如热流变复合材料的保留时间的影响或三维瞬态电流的实施，从而可以评估工具组件的冲洗能力。该研究的另一个主要重点是提供一种对成功测试的工具变体进行智能分类的方法。这将通过为所有影响输入参数和获得的优化结果开发适当的分类属性来实现，这将允许更容易地识别这些属性之间的相关性。此外，建议增强相关工具变体的主模型种类，以便可以包括替代的预分配器变体（除了已经检查的星形预分配之外）。第三个关键点将涵盖工具组件不同部件创新设计细节的新方法的开发。该项目的后半部分仍将考虑制造和流变方面的流道设计方法。然而，对于流动系统的局部细节（例如二次分配的进料区域），可以通过创新方法进行详细优化。