基于工艺知识图谱的异构CAM模型结构化建模方法
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摘要
随着数字化设计制造技术的深入,不同商用CAM系统在企业中得到广泛应用,大量的异构CAM模型不断地生成并存储在企业数据库中.为了实现对已有异构CAM模型的重用和共享,提出了一种基于工艺知识图谱的异构CAM模型的结构化建模方法.首先构建以特征、耦合特征、零件为层次基础,多层次、多要素的工艺知识图谱模型,作为异构CAM模型的数据交换和共享的桥梁;其次建立了异构CAM系统的本体模型,同时采用多策略相似性本体映射的方法,生成了初步统一的异构CAM模型语义表示;最后利用规则推理获取隐含语义及检查匹配结果的准确性,以丰富工艺知识图谱,保证工艺知识图谱表达的统一性.开发了异构CAM模型结构化建模原型系统,验证了所提方法的有效性.
With the deepening of digital design and manufacturing technology, different commercial CAM systems have been widely applied in enterprises, and a huge number of heterogeneous CAM models have been generated in the repository. A structural modeling method of heterogeneous CAM model based process knowledge graph is presented in this paper to realize the reuse and sharing of heterogeneous CAM models created by product manufacturing activities. Firstly, based on features, coupled features and part level respectively, a multi-hierarchy and multi-attribute process knowledge model is constructed, which is the bridge of data exchange and sharing for heterogeneous CAM models. Then, the ontology models of heterogeneous CAM systems are established, and the preliminary unique semantic representation is acquired by using the multi-strategy similarity mapping method. Finally, the implied semantic and the accuracy of mapping results are obtained through rule reasoning, to enrich the process knowledge graph with the unique representation. A prototype system is developed to verify the effec-tiveness of the proposed approach.
With the deepening of digital design and manufacturing technology, different commercial CAM systems have been widely applied in enterprises, and a huge number of heterogeneous CAM models have been generated in the repository. A structural modeling method of heterogeneous CAM model based process knowledge graph is presented in this paper to realize the reuse and sharing of heterogeneous CAM models created by product manufacturing activities. Firstly, based on features, coupled features and part level respectively, a multi-hierarchy and multi-attribute process knowledge model is constructed, which is the bridge of data exchange and sharing for heterogeneous CAM models. Then, the ontology models of heterogeneous CAM systems are established, and the preliminary unique semantic representation is acquired by using the multi-strategy similarity mapping method. Finally, the implied semantic and the accuracy of mapping results are obtained through rule reasoning, to enrich the process knowledge graph with the unique representation. A prototype system is developed to verify the effec-tiveness of the proposed approach.
引文
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[16]Huang Rui,Zhang Shusheng,Bai Xiaoliang.Manufacturability driven interacting machining feature recognition algorithms for3D CAD models[J].Journal of Computer-Aided Design&Computer Graphics,2013,25(7):1089-1098(in Chinese)(黄瑞,张树生,白晓亮.可制造性驱动的三维模型相交制造特征识别方法[J].计算机辅助设计与图形学学报,2013,25(7):1089-1098)
[17]Huang R,Zhang S S,Bai X L,et al.Multi-level structuralized model-based definition model based on machining features for manufacturing reuse of mechanical parts[J].International Journal of Advanced Manufacturing Technology,2014,75(5-8):1035-1048
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[19]Myers R,Wison R C,Hancock E R.Bayesian graph edit distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(6):628-635
[2]Hardwick M,Zhao Y F,Proctor F M,et al.A roadmap for STEP-NC-enabled interoperable manufacturing[J].International Journal of Advanced Manufacturing Technology,2013,68(5-8):1023-1037
[3]Bai J,Gao S M,Tang W H,et al.Design reuse oriented partial retrieval of CAD models[J].Computer-Aided Design,2010,42(12):1069-1084
[4]Luha P B,Liua F,Moserb B.Scheduling of design projects with uncertain number of iterations[J].European Journal of Operational Research,1999,113(3):575-592
[5]Wu Y Q,He F Z,Zhang D J,et al.Service-Oriented Feature-Based Data Exchange for Cloud-Based Design and Manufacturing[J].IEEE Transactions on Services Computing,2018,11(2):341-353
[6]Zhang D J,He F Z,Han S H,et al.Quantitative optimization of interoperability during feature-based data exchange[J].Integrated Computer-Aided Engineering,2016,23(1):31-50
[7]Zhang X Z,Nassehi A,Safaieh M,et al.Process comprehension for shopfloor manufacturing knowledge reuse[J].International Journal of Production Research,2013,51(23/24):7405-7419
[8]Kang M J,Kim G,Lee T,et al.Selection and sequencing of machining processes for prismatic parts using process ontology model[J].International Journal of Precision Engineering and Manufacturing,2016,17(3):387-394
[9]Barbau R,Krima S,Rachuri S,et al.Onto STEP:Enriching product model data using ontologies[J].Computer-Aided Design,2012,44(6):575-590
[10]Tessier,S,Wang Y.Ontology-based feature mapping and verification between CAD systems[J].Advanced Engineering Informatics,2013,27(1):76-92
[11]Qin F W,Gao S M,Yang X L,et al.An ontology-based semantic retrieval approach for heterogeneous 3D CAD models[J].Advanced Engineering Informatics,2016,30(4):751-768
[12]Zhang Y Z,Luo X F,Zhang H,et al.A knowledge representation for unit manufacturing processes[J].International Journal of Advanced Manufacturing Technology,2014,73(5-8):1011-1031
[13]Mawussi K B,Tapie L.A knowledge base model for complex forging die machining[J].Computers&Industrial Engineering,2011,61(1):84-97
[14]Yang B,Qiao L H,Cai N,et al.Manufacturing process information modeling using a meta modeling approach[J].The International Journal of Advanced Manufacturing Technology,2018,94(5-8):1579-1596
[15]Paulheim H.Knowledge graph refinement:a survey of approaches and evaluation methods[J].Semantic Web,2017,8(3):489-508
[16]Huang Rui,Zhang Shusheng,Bai Xiaoliang.Manufacturability driven interacting machining feature recognition algorithms for3D CAD models[J].Journal of Computer-Aided Design&Computer Graphics,2013,25(7):1089-1098(in Chinese)(黄瑞,张树生,白晓亮.可制造性驱动的三维模型相交制造特征识别方法[J].计算机辅助设计与图形学学报,2013,25(7):1089-1098)
[17]Huang R,Zhang S S,Bai X L,et al.Multi-level structuralized model-based definition model based on machining features for manufacturing reuse of mechanical parts[J].International Journal of Advanced Manufacturing Technology,2014,75(5-8):1035-1048
[18]Huang R,Zhang S S,Bai X L,et al.An effective numerical control machining process reuse approach by merging feature similarity assessment and data mining for computer-aided manufacturing models[J].Proceedings of the Institution of Mechanical Engineers,Part B:Journal of Engineering Manufacture,2015,229(7):1229-1242
[19]Myers R,Wison R C,Hancock E R.Bayesian graph edit distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(6):628-635