基于切削体分解组合策略的工艺特征识别方法研究
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摘要
良好的工艺特征识别方法是有效集成CAD/CAPP/CAM系统的重要手段。论文以金属加工零件的切削体为研究对象,对切削体工艺特征识别方法进行研究。提出一种切削体分解组合策略,研究该策略下切削体分解、组合、匹配等工艺特征识别操作,探讨特征识别过程中设计、工艺信息转换,以实现工艺特征智能化识别。论文的主要研究工作如下：
(1)构建了基于切削体分解组合策略的工艺特征识别框架,对该策略下工艺特征识别的原理、流程进行研究,并将本文特征识别方法与多种类似特征识别方法进行比较区分。
(2)提出了一种基于扩展属性邻接图(EAAG)的切削体过程模型统一描述方法。定义工艺特征识别中的各类过程模型,描述过程模型的主要操作模式,提出过程模型信息提取方法。
(3)提出了切削体分解组合策略。研究切削体分解组合策略中分割面产生原理和表示方法、切削体分解和组合规则的生成、排序以及规则冲突消解,并对特征识别过程中的分割面新增和失效、切削体多重组合等现象进行了探索。
(4)研究了工艺特征识别过程中信息的转化和处理方法。改进定位面的定位能力计算方法,并设计出自动产生工序的定位方案的算法；引入小位移旋量(SDT)数学模型描述了工序切削体的工序公差,构建工序尺寸公差网络,建立公差回路上的工序公差累积模型,利用基于小生境的协同进化算法实现三维工序尺寸公差的优化分配。
(5)在SolidWorks设计平台上,开发了部分典型工艺特征识别功能模块。描述了功能模块的开发目标、开发环境以及相关开发工具；实现了切削体生成、分解、组合等十余个子功能。最后通过应用实例给出工艺特征识别功能模块的主要应用过程。
论文提出的基于切削体分解组合策略的工艺特征识别方法不仅有助于提高工艺设计的智能化,同时为CAD/CAPP/CAM的集成应用提供了一条有效的途径,具有一定的理论意义和实际应用价值。
Appropriate feature recognition technology is always considered as an important and effective method for integration of CAD/CAPP/CAM systems. Treating delta-volume of metal machining part as research object, this dissertation researches process feature recognition approach of delta-volume.Delta-volume decomposition and combination strategy is proposed, and some operations such as decomposition、combination and matching are researched, the translation between design and process information is discussed to realize intelligent process feature recognition. The main contributions and works are as follows:
(1) The framework of process feature recognition is constructed, then the basis theory, recognition process and the realization method of the proposed process feature recognition approach are analyzed after the current main feature recognition approaches are compared each other.
(2) The unified description method of delta-volume procedure models is put forward as Extended Attribute Adjacency Graph (EAAG). All kinds of procedure models related to process feature recognition are defined, whose primary operation modes are expounded. The extraction method of the information of procedure models is discussed, too.
(3) The delta-volume decomposition and combination strategy is researched, which includes the generation theory and description method of partition surfaces, the creating and ordering and conflicts resolving of the rules for decomposing and combining the delta-volumes. In addition, some phenomenons are analyzed such as new-adding and losing effectiveness of partition surfaces and multi-combination of delta-volumes.
(4) The information transferring and processing during the process of feature recognition are researched. Locating capability of selected surfaces is computed, and then location program is generated automatically. Small Displacement Torsor (SDT) theory is used to describe process tolerances of operation cut volumes, and operation tolerance net is organized, then the process tolerance stack-up models are constructed. Using dynamical niche sets-based cooperative evolutionary algorithm, operation tolerances assignment is achieved.
(5) The function on process feature recognition is researched and realized. Its development goals, environments and tools are mentioned. More than ten sub-functions are developed, including generation, decomposition and combination of delta-volumes. At last, one application case is afforded to show the primary flow of the given functions.
The proposed approach on process feature recognition based on delta-volume decomposition and combination strategy is not only helpful to enhance the intelligence of process feature recognition, but also provides an effective way to integrate CAD/CAPP, with certain theory significance and practice application values.
(1)构建了基于切削体分解组合策略的工艺特征识别框架,对该策略下工艺特征识别的原理、流程进行研究,并将本文特征识别方法与多种类似特征识别方法进行比较区分。
(2)提出了一种基于扩展属性邻接图(EAAG)的切削体过程模型统一描述方法。定义工艺特征识别中的各类过程模型,描述过程模型的主要操作模式,提出过程模型信息提取方法。
(3)提出了切削体分解组合策略。研究切削体分解组合策略中分割面产生原理和表示方法、切削体分解和组合规则的生成、排序以及规则冲突消解,并对特征识别过程中的分割面新增和失效、切削体多重组合等现象进行了探索。
(4)研究了工艺特征识别过程中信息的转化和处理方法。改进定位面的定位能力计算方法,并设计出自动产生工序的定位方案的算法；引入小位移旋量(SDT)数学模型描述了工序切削体的工序公差,构建工序尺寸公差网络,建立公差回路上的工序公差累积模型,利用基于小生境的协同进化算法实现三维工序尺寸公差的优化分配。
(5)在SolidWorks设计平台上,开发了部分典型工艺特征识别功能模块。描述了功能模块的开发目标、开发环境以及相关开发工具；实现了切削体生成、分解、组合等十余个子功能。最后通过应用实例给出工艺特征识别功能模块的主要应用过程。
论文提出的基于切削体分解组合策略的工艺特征识别方法不仅有助于提高工艺设计的智能化,同时为CAD/CAPP/CAM的集成应用提供了一条有效的途径,具有一定的理论意义和实际应用价值。
Appropriate feature recognition technology is always considered as an important and effective method for integration of CAD/CAPP/CAM systems. Treating delta-volume of metal machining part as research object, this dissertation researches process feature recognition approach of delta-volume.Delta-volume decomposition and combination strategy is proposed, and some operations such as decomposition、combination and matching are researched, the translation between design and process information is discussed to realize intelligent process feature recognition. The main contributions and works are as follows:
(1) The framework of process feature recognition is constructed, then the basis theory, recognition process and the realization method of the proposed process feature recognition approach are analyzed after the current main feature recognition approaches are compared each other.
(2) The unified description method of delta-volume procedure models is put forward as Extended Attribute Adjacency Graph (EAAG). All kinds of procedure models related to process feature recognition are defined, whose primary operation modes are expounded. The extraction method of the information of procedure models is discussed, too.
(3) The delta-volume decomposition and combination strategy is researched, which includes the generation theory and description method of partition surfaces, the creating and ordering and conflicts resolving of the rules for decomposing and combining the delta-volumes. In addition, some phenomenons are analyzed such as new-adding and losing effectiveness of partition surfaces and multi-combination of delta-volumes.
(4) The information transferring and processing during the process of feature recognition are researched. Locating capability of selected surfaces is computed, and then location program is generated automatically. Small Displacement Torsor (SDT) theory is used to describe process tolerances of operation cut volumes, and operation tolerance net is organized, then the process tolerance stack-up models are constructed. Using dynamical niche sets-based cooperative evolutionary algorithm, operation tolerances assignment is achieved.
(5) The function on process feature recognition is researched and realized. Its development goals, environments and tools are mentioned. More than ten sub-functions are developed, including generation, decomposition and combination of delta-volumes. At last, one application case is afforded to show the primary flow of the given functions.
The proposed approach on process feature recognition based on delta-volume decomposition and combination strategy is not only helpful to enhance the intelligence of process feature recognition, but also provides an effective way to integrate CAD/CAPP, with certain theory significance and practice application values.
引文
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