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Automated feature recognition system for supporting engineering activities downstream of conceptual design.

机译:自动特征识别系统,用于支持概念设计下游的工程活动。

摘要

Transfer of information between CAD models and downstream manufacturing process planning software typically involves redundant user interaction. Many existing tools are process-centric and unsuited for selection of a "best process" in the context of existing concurrent engineering design tools. A computer based Feature-Recognition (FR) process is developed to extract critical manufacturing features from engineering product CAD models. FR technology is used for automating the extraction of data from CAD product models and uses wire-frame geometry extracted from an IGES neutral file format. Existing hint-based feature recognition techniques have been extended to encompass a broader range of manufacturing domains than typical in the literature, by utilizing a combination of algorithms, each successful at a limited range of features. Use of wire-frame models simplifies product geometry and has the potential to support rapid manufacturing shape evaluation at the conceptual design stage. Native CAD files are converted to IGES neutral files to provide geometry data marshalling to remove variations in user modelling practice, and to provide a consistent starting point for FR operations. Wire-frame models are investigated to reduce computer resources compared to surface and solid models, and provide a means to recover intellectual property in terms of manufacturing design intent from legacy and contemporary product models. Geometric ambiguity in regard to what is ?solid? and what is not has plagued wire-frame FR development in the past. A new application of crossing number theory (CNT) has been developed to solve the wire-frame ambiguity problem for a range of test parts. The CNT approach works satisfactorily for products where all faces of the product can be recovered and is tested using a variety of mechanical engineering parts.Platform independent tools like Extensible Mark-up Language are used to capture data from the FR application and provide a means to separate FR and decision support applications. Separate applications are composed of reusable software modules that may be combined as required. Combining rule-based and case-based reasoning provides decision support to the manufacturing application as a means of rejecting unsuitable processes on functional and economic grounds while retaining verifiable decision pathways to satisfy industry regulators.
机译:CAD模型和下游制造过程计划软件之间的信息传递通常涉及冗余的用户交互。许多现有工具以过程为中心,不适合在现有并发工程设计工具的背景下选择“最佳过程”。开发了基于计算机的特征识别(FR)流程,以从工程产品CAD模型中提取关键的制造特征。 FR技术用于自动从CAD产品模型中提取数据,并使用从IGES中性文件格式中提取的线框几何形状。通过利用算法的组合,现有的基于提示的特征识别技术已经扩展到涵盖比文献中更典型的范围更广的制造领域,每种算法都在有限的特征范围内成功。线框模型的使用简化了产品的几何形状,并有可能在概念设计阶段支持快速的制造形状评估。原始CAD文件被转换为IGES中性文件,以编排几何数据以消除用户建模实践中的变化,并为FR操作提供一致的起点。与表面模型和实体模型相比,对线框模型进行了研究以减少计算机资源,并提供了一种从旧有和现代产品模型中恢复制造设计意图方面的知识产权的方法。关于什么是“实体”,在几何上存在歧义。过去没有什么困扰着线框FR的发展。已经开发出交叉数理论(CNT)的新应用,以解决一系列测试零件的线框模糊性问题。碳纳米管(CNT)方法对于可以回收产品的所有面并使用各种机械工程零件进行测试的产品均令人满意地工作。可扩展标记语言等平台独立工具用于捕获FR应用程序中的数据并提供一种方法单独的FR和决策支持应用程序。单独的应用程序由可重复使用的软件模块组成,可以根据需要进行组合。将基于规则的推理和基于案例的推理相结合,为制造应用程序提供决策支持,这是一种从功能和经济方面拒绝不合适的流程的方法,同时保留了可验证的决策途径来满足行业监管者的要求。

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