An effective freeform surface retrieval approach for potential machining process reuse

An effective freeform surface retrieval approach for potential machining process reuse
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一种有效的自由曲面检索方法,可重复利用潜在的加工工艺

DOI:
10.1007/s00170-017-0071-1
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发表时间:
2017-02
影响因子:
3.4
通讯作者:
陈正鸣
陈正鸣
中科院分区:
工程技术3区
文献类型:
--
作者:
黄瑞;蒋俊锋;何坤金;陈正鸣

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加工过程数据是熟练工程师知识、智能和经验的直接有效载体,随着加工过程数据的不断增加,加工过程数据驱动的智能加工工艺规划在制造业中变得越来越重要。关键技术之一是精细地检索具有加工过程复用价值的相似几何形状。然而,现有的用于制造重用的三维CAD模型检索方法主要集中在2 1/2轴数控铣削加工的非自由曲面特征组成的零件上,而包含复杂自由曲面的零件所占比例很大,涉及较少。提出了一种面向潜在加工过程重用的自由曲面检索方法。首先,引入相似张量场模式自由曲面特征,将复杂自由曲面表示为结构化自由曲面模型;然后给出了加速自由曲面检索的自由曲面内容代码,有效地过滤掉不匹配的自由曲面。提取表征特征路径整体演化趋势的主路径,并用D2形状描述子表示,建立特征相似度评估模型。最后,提出了基于子图同构的匹配特征对提取算法来计算匹配自由曲面之间的相似度。开发了一个基于CATIA的原型系统,验证了该方法的有效性。
With the increasing of the machining process data, which are the direct and effective carrier of knowledge, intelligence and experience of skilled engineers, machining process data-driven intelligent machining process planning is becoming more and more important in manufacturing industries. One of the key technologies is to retrieve the similar geometry with machining process reuse value in a fine manner. However, existing 3D CAD model retrieval methods for manufacturing reuse mainly focus on the parts composed of non-freeform surface features machined with 2 1/2-axis CNC milling, while the parts including complex freeform surfaces accounted for a large proportion are little involved. In this paper, a novel freeform surface retrieval approach for potential machining process reuse is presented. First, similar tensor field pattern freeform surface feature is introduced to represent the complex freeform surface into structured freeform surface model. Then, freeform surface content code for accelerating freeform surface retrieval is given to filter out unmatched freeform surfaces efficiently. Moreover, the principal pathline indicating the overall evolution trend of feature pathlines is extracted and represented using D2 shape descriptor to establish the feature similarity assessment model. Finally, sub-graph isomorphism-based matched feature pairs extraction algorithm is presented to calculate the similarity between matched freeform surfaces. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach.
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