Knowledge-based product planning and engineering of injection-molded parts
基于知识的注塑件产品规划和工程
基本信息
- 批准号:284157356
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2015
- 资助国家:德国
- 起止时间:2014-12-31 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The motivation for this project is due to the absence of an integrated approach of supporting the designer in the construction of injection-molded parts. Starting at the product planning via part design to the final optimization of the part geometry, the designer will be supported by the developed procedures and methods of this research project which combine multidisciplinary knowledge. In the context of the product planning, the designer gets the opportunity of an objective manufacturing process and material selection by the application of Knowledge-Based systems. To achieve this aim, a method in which the existing expert knowledge is stored in form of a database, the knowledge base, will be developed. By a subsequent input and by the process-based comparison of product requirements with the expert knowledge, the available manufacturing methods can be assessed and an objective choice can be taken. The created knowledge base will be enhanced by boundary conditions, which arise from the choice of a particular manufacturing process. Based on this information, material properties, that have to be fulfilled by a specific material will be proposed to the designer in order to achieve the required product properties and to allow a processing using the selected production process. Using this information, a ranking of the possible materials can be created. The selection of a specific material is carried out by the user.An additional objective of this project includes the development of an integrated product simulation in order to reduce the necessary optimization steps during the molded part design and dimensioning. Firstly, the integrated product simulation includes the Knowledge-Based molded part design. This means that the compliance with material, production, and stress-specific boundary conditions is monitored during the creation of the molded part in the CAD environment and, if necessary, a corrective intervention in the design process is possible. For this purpose, solutions for the formalization of knowledge and implementation are developed in the CAD environment. It will be implemented in the form of design and analysis features for quality assurance. The evaluation is done through the integration of design guidelines, design rules and a link to the databases which have been created. Secondly, methods for Knowledge-Based analysis of injection molding simulations are developed which enable automated rheological and cycle time optimizing part design. In the rheological design will be determined procedure based. By a knowledge-based analysis it can be detected whether it is necessary to improve the quality of the mold-filling behavior by an implementation of flow aids and barriers in the part geometry. The method for cycle time optimization of the design allows the optimization of the geometry of the molded-part to the effect that a uniform and thus rapid cooling is achieved in the subsequent injection molding process.
该项目的动机是由于缺乏支持设计者构建注塑零件的集成方法。从产品规划到零件设计到零件几何形状的最终优化,设计师将得到该研究项目开发的程序和方法的支持,该程序和方法结合了多学科知识。在产品规划的背景下,设计师通过应用基于知识的系统获得客观的制造工艺和材料选择的机会。为了实现这一目标,将开发一种以数据库(即知识库)形式存储现有专家知识的方法。通过随后的输入以及通过将产品要求与专业知识进行基于流程的比较,可以评估可用的制造方法并做出客观的选择。创建的知识库将通过边界条件得到增强,边界条件是由于选择特定的制造工艺而产生的。基于此信息,将向设计者提出特定材料必须满足的材料特性,以便实现所需的产品特性并允许使用所选生产工艺进行加工。使用此信息,可以创建可能材料的排名。具体材料的选择由用户进行。该项目的另一个目标包括开发集成产品模拟,以减少模制零件设计和尺寸标注过程中必要的优化步骤。首先,集成产品仿真包括基于知识的成型零件设计。这意味着在 CAD 环境中创建模制零件的过程中会监控材料、生产和特定应力边界条件的符合情况,并且如有必要,可以在设计过程中进行纠正干预。为此,在 CAD 环境中开发了知识形式化和实施的解决方案。它将以设计和分析功能的形式实施,以保证质量。评估是通过整合设计指南、设计规则和已创建的数据库的链接来完成的。其次,开发了基于知识的注塑模拟分析方法,可以实现自动流变和周期时间优化零件设计。在流变设计中将确定程序的基础。通过基于知识的分析,可以检测是否有必要通过在零件几何形状中实施流动助剂和障碍来提高模具填充行为的质量。用于设计的循环时间优化的方法允许优化模制部件的几何形状,从而在随后的注塑过程中实现均匀且快速的冷却。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Knowledge-based material selection for injection-molded, thermoplastic parts
基于知识的注塑热塑性零件材料选择
- DOI:10.1063/1.5084872
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Porsch;Andrae;Köhler;Wortberg
- 通讯作者:Wortberg
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Professor Dr.-Ing. Peter Köhler其他文献
Professor Dr.-Ing. Peter Köhler的其他文献
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