计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
9期
213-218
,共6页
MBD%CATIA%CAPP%制造特征%特征识别%数据提取
MBD%CATIA%CAPP%製造特徵%特徵識彆%數據提取
MBD%CATIA%CAPP%제조특정%특정식별%수거제취
MBD%CATIA%CAPP%manufacturing feature%feature recognition%data extraction
在三维CAD领域,随着基于模型定义(Model Based Definition, MBD)技术应用的不断深入, MBD零件设计模型(基于 MBD 设计的三维零件模型)可作为三维机加工艺规划系统的单一数据源,为工艺规划过程设计提供完整的制造信息。制造特征识别是三维机加工艺规划系统的核心技术,是进行工艺规划活动的前提,其基础数据来源于MBD模型的几何信息和非几何信息(MBD数据)。针对汽车、航天等领域广泛使用的CATIA三维模型MBD数据提取的关键技术和难点,介绍如何深入应用CATIA 的CAA二次开发技术提取零件设计模型的MBD数据,并应用于三维机加工艺规划系统的制造特征识别中,为后续的工艺规划过程提供保证。
在三維CAD領域,隨著基于模型定義(Model Based Definition, MBD)技術應用的不斷深入, MBD零件設計模型(基于 MBD 設計的三維零件模型)可作為三維機加工藝規劃繫統的單一數據源,為工藝規劃過程設計提供完整的製造信息。製造特徵識彆是三維機加工藝規劃繫統的覈心技術,是進行工藝規劃活動的前提,其基礎數據來源于MBD模型的幾何信息和非幾何信息(MBD數據)。針對汽車、航天等領域廣汎使用的CATIA三維模型MBD數據提取的關鍵技術和難點,介紹如何深入應用CATIA 的CAA二次開髮技術提取零件設計模型的MBD數據,併應用于三維機加工藝規劃繫統的製造特徵識彆中,為後續的工藝規劃過程提供保證。
재삼유CAD영역,수착기우모형정의(Model Based Definition, MBD)기술응용적불단심입, MBD령건설계모형(기우 MBD 설계적삼유령건모형)가작위삼유궤가공예규화계통적단일수거원,위공예규화과정설계제공완정적제조신식。제조특정식별시삼유궤가공예규화계통적핵심기술,시진행공예규화활동적전제,기기출수거래원우MBD모형적궤하신식화비궤하신식(MBD수거)。침대기차、항천등영역엄범사용적CATIA삼유모형MBD수거제취적관건기술화난점,개소여하심입응용CATIA 적CAA이차개발기술제취령건설계모형적MBD수거,병응용우삼유궤가공예규화계통적제조특정식별중,위후속적공예규화과정제공보증。
With the deepening of MBD(Model Based Definition) technology applications in the field of three-dimensional CAD, MBD Part Design Model(Three-Dimensional Part Model designed with definition of MBD) has been the only data source of the three-dimensional machining process planning and provides a complete manufacturing information for the design process in process planning. Manufacturing feature recognition is the core technology of Three-Dimensional machining process planning and the prerequisites of process planning activities. And its data mainly comes from the Geometric information and Non-geometric information(MBD Data)of MBD Part Model. This paper focuses on the pivotal technic and difficulty of MBD Data’s extraction of CATIA Three-Dimensional Model which is commonly used in auto and aviation field, describing how to apply CAA secondary development technology in depth, extracting MBD Data and useing it to feature recognition technic of three-dimensional machining process planning system, guaranteeing the following machining process planning.
