基于导向式搜索的航天舱体结构件特征识别方法
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摘要
为解决航天舱体结构件中凹、凸特征并存的识别问题,同时排除不规则起伏轮廓对识别过程产生的干扰,提出了基于导向式搜索的特征识别方法。建立了虚拟特征库以描述特征模型,并依据库中信息制定搜索条件;同时采用全局导向搜索的方式,存储满足搜索条件的特征表面,在完成搜索后确定特征类型,从而避免对模型进行局部分割时受干扰信息影响。实例验证结果表明,该方法能够有效地识别舱体结构件中的凹、凸特征。
To solve the problem of feature recognition with concave and convex mixed features coexisting in space cabin structure and filter interfering from irregular contours,an oriented search algorithm of feature recognition was proposed.A virtual feature library was designed to describe the model of manufacturing features and conditions for searching were selected according to the library.The algorithm faced to all manufacturing features in whole field was chosen to avoid the disturbance by irregular contours when module was segmented.According to the conditions provided by library,the process of search was leaded to features cater to conditions.At the end of the process,the affirmation of features was completed with appointed conditions.Verified by the practical example of the recognition parts,the algorithm can recognize concave and convex features.
To solve the problem of feature recognition with concave and convex mixed features coexisting in space cabin structure and filter interfering from irregular contours,an oriented search algorithm of feature recognition was proposed.A virtual feature library was designed to describe the model of manufacturing features and conditions for searching were selected according to the library.The algorithm faced to all manufacturing features in whole field was chosen to avoid the disturbance by irregular contours when module was segmented.According to the conditions provided by library,the process of search was leaded to features cater to conditions.At the end of the process,the affirmation of features was completed with appointed conditions.Verified by the practical example of the recognition parts,the algorithm can recognize concave and convex features.
引文
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[2]ZBICIAK R,GRABOWIK C.Feature recognition methods review[C]//Proceedings of the 13th International Scientific Conference:Computer Aided Engineering.Cham:Springer International Publishing,2017:605-615.
[3]JOSHI S,CHANG T C.Graph-based heuristics for recognition of machined features from a 3Dsolid model[J].ComputerAided Design,1988,20(2):58-66.
[4]GAO S,SHAH J J.Automatic recognition of interacting machining features based on minimal condition subgraph[J].Computer-Aided Design,1998,30(9):727-739.
[5]GAO S,ZHAO W,LIN H,et al.Feature suppression based CAD mesh model simplification[J].CAD Computer Aided Design,2010,42(12):1178-1188.
[6]王会凤,周雄辉,王婉.基于特征的模型多目标优化分割算法[J].机械工程学报,2008,44(7):241-247.
[7]曾顺.箱体类零件CAD/CAPP集成技术与系统开发[D].上海:上海交通大学材料科学与工程学院,2013.
[8]王军,欧道江,舒启林,等.基于STEP-NC的相交特征识别技术[J].计算机集成制造系统,2014,22(5):1051-1061.
[9]闫海兵.飞机结构件复杂加工特征识别技术的研究与实现[D].南京:南京航空航天大学机电学院,2010.
[10]韩娟,张发平,高博,等.基于图和规则的混合式特征识别技术[J].机械设计与制造,2013(3):97-100.
[11]周亚平,张洁,秦威.大型航天薄壁结构件特征识别方法[J].计算机集成制造系统,2016,22(11):2505-2512.
[12]周亚平.大型航天薄壁结构件制造特征MBD模型自动构建方法研究[D].上海:上海交通大学机械与动力工程学院,2016.