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Research on data mining and visualization technology for numerical simulation data based on the PDM platform

机译:基于PDM平台的数值模拟数据挖掘与可视化技术研究

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With the widespread applications of numerical simulation and improvement of informatization in foundry enterprises, in aspect of numerical simulation, enterprises have accumulated a large number of simulation data and documents; in aspect of informatization, enterprises have their own information management software such as PDM, ERP and so on. However, judging from the current situation, these two aspects have not integrated well. One reason is that the existing PDM systems are inconvenient and inefficient for designers to mine data of numerical simulation and then help them make out process plans of product's numerical simulation. Therefore, this paper firstly proposes a integration framework of data based on PDM platform. By analyzing the structure and special contents, simple and effective data is mined from those massive and complicated data of numerical simulation of casting. Then those simple and effective data is shared on line and then organized to knowledge base for enterprises. In addition, visualization techniques of numerical simulation pre-processing and post-processing data on the PDM platform are deeply researched. Finally, a case that mining massive numerical simulation data generated by HZCAE illustrates the application of this study.
机译:随着数值模拟在铸造企业中的广泛应用和信息化的改善,在数值模拟方面,企业积累了大量的模拟数据和文件。在信息化方面,企业拥有自己的信息管理软件,如PDM,ERP等。但是,从目前的情况来看,这两个方面还没有很好地融合在一起。原因之一是现有的PDM系统对于设计人员来说无法方便,效率低下地挖掘数值模拟数据,然后帮助他们制定产品数值模拟的过程计划。因此,本文首先提出了一种基于PDM平台的数据集成框架。通过分析结构和特殊内容,从铸件数值模拟的大量和复杂数据中提取简单有效的数据。然后将那些简单有效的数据在线共享,然后组织到企业的知识库中。此外,还对PDM平台上的数值模拟预处理和后处理数据的可视化技术进行了深入研究。最后,通过挖掘HZCAE生成的海量数值模拟数据的案例说明了该研究的应用。

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