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Integrating part modeling and assembly modeling from the perspective of process

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Abstract

Part modeling and assembly modeling are two important aspects of product modeling, which is crucial to manufacturing industrial completeness. Although the two aspects are greatly integrated, they are separated at the process level in current CAD systems. As a result, the design intent expressed at part modeling stage has to be expressed again at assembly modeling stage, through tedious and error-prone manual selection of geometric entities and assignment of mating constraints. To alleviate the problems, an approach to integrate part modeling and assembly modeling from the perspective of process is proposed. In this method, the previously developed concept of assembly feature pair (AFP), and the recently generalized and formalized phenomenon of structure pre-mapping (SPM) are introduced; AFP can be constructed in a mathematical way, and is utilized to describe the design intent existed in designers’ brain systematically; SPM is realized by associating AFPs into part solid models; in this way, the design intent is stored in part solid models at part modeling stage, thus bridging the gaps between part modeling and assembly modeling at process level, and providing heuristics for assembly modeling automation. On this basis, the natural relationships between part modeling and assembly modeling at process level are revealed, paving the way to formalize part modeling and assembly modeling from the perspective of process in a unified framework. Finally, an implementation sample is demonstrated to validate the feasibility of the proposed approach. The proposed integration theoretical system at process level may provide the potential to facilitate the paradigm shift in product modeling to make it simpler and integrate more downstream applications.

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References

  • Abdul-Ghafour, S., Ghodous, P., Shariat, B., & Perna, E. (2008). Towards an intelligent CAD models sharing based on semantic web technologies. In R. Curran, S. Y. Chou, A. Trappey (Eds.), Collaborative product and service life cycle management for a sustainable world (pp. 195–203). New York: Springer.

  • Albers, A., Ohmer, M., & Eckert, C. (2003). Engineering design in a different way: Cognitive perspective on the contact and channel model approach. In Proceedings of the visual and spatial reasoning in design (pp. 1–21). University of Sydney, Cambridge, MA, USA, 22–23 July 2003.

  • Alemanni, M., Destefanis, F., & Vezzetti, E. (2011). Model-based definition design in the product lifecycle management scenario. International Journal of Advanced Manufacturing Technology, 1–4, 1–14.

    Article  Google Scholar 

  • Borkar, B. R., & Puri, Y. M. (2015). Automatic extraction of machining features from prismatic parts using STEP for downstream applications. Journal of the Institution of Engineers (India): Series C, 96(3), 231–243.

    Article  Google Scholar 

  • Camba, J., Contero, M., Johnson, M., et al. (2014). Extended 3D annotations as a new mechanism to explicitly communicate geometric design intent and increase CAD model reusability. Computer-Aided Design, 57, 61–73.

    Article  Google Scholar 

  • Camba, J. D., & Contero, M. (2015). Assessing the impact of geometric design intent annotations on parametric model alteration activities. Computers in Industry, 71, 35–45.

    Article  Google Scholar 

  • Chan, C. K., & Tan, S. T. (2003). Generating assembly features onto split solid models. Computer-Aided Design, 35, 1315–1336.

    Article  Google Scholar 

  • Chen, X., Gao, S., Yang, Y., et al. (2012). Multi-level assembly model for top-down design of mechanical products. Computer-Aided Design, 44(10), 1033–1048.

    Article  Google Scholar 

  • Chin, K. S., Zhao, Y., & Mok, C. K. (2002). STEP-based multiview integrated product modelling for concurrent engineering. International Journal of Advanced Manufacturing Technology, 20, 896–906.

    Article  Google Scholar 

  • De Fazio, T. L. (1990). A prototype of feature-based design for assembly. In Proceedings of the ASME advances in design automation, Chicago, IL, USA (pp. 9–16).

  • Deneux, D. (1999). Introduction to assembly features: An illustrated synthesis methodology. Journal of Intelligent Manufacturing, 10, 29–39.

    Article  Google Scholar 

  • He, B., Song, W., & Wang, Y. G. (2013). A feature-based approach towards an integrated product model in intelligent design. International Journal of Advanced Manufacturing Technology, 69, 15–30.

    Article  Google Scholar 

  • He, B., Zhang, P. C., Zhu, N. F., et al. (2015). Skeleton model-based approach to integrated engineering design and analysis. International Journal of Advanced Manufacturing Technology,. doi:10.1007/s00170-015-8047-5.

    Article  Google Scholar 

  • He, K. J., Chen, Z. M., & Zhao, L. H. (2011). A new method for classification and parametric representation of freeform surface feature. International Journal of Advanced Manufacturing Technology, 57, 271–283.

    Article  Google Scholar 

  • Henson, B. W., Baxter, J. E., & Juster, N. P. (1993). Assembly representation within a product data framework. ASME Advances in Design Automation, 65(1), 195–205.

    Google Scholar 

  • Hoffmann, P., Feng, S. C., Ameta, G., et al. (2007). Towards a multi-view semantic model for product feature description. Collaborative product and service life cycle management for a sustainable world. London: Springer.

    Google Scholar 

  • Horváth, L., & Rudas, I. (2004). Modeling and problem solving techniques for engineers. Cambridge, MA: Elsevier, Academic Press.

    Google Scholar 

  • Kallmann, M., & Thalmann, D. (2002). Modeling behaviors of interactive objects for real-time virtual environments. Journal of Visual Languages and Computing, 13(2), 177–195.

    Article  Google Scholar 

  • Lam, T. K. (2001). A non-manifold feature-based approach for integrating mechanical conceptual design and assemblies. Thesis. Hong Kong Polytechnic University, Hongkong, China.

  • Lau, H. Y. K. (2003). A hidden Markov model-based assembly contact recognition system. Mechatronics, 13, 1001–1023.

    Article  Google Scholar 

  • Lee, K., & Andrews, G. (1985). Inference of positions of components in an assembly: Part 2. Computer-Aided Design, 17(1), 20–24.

    Article  Google Scholar 

  • Leu, M. C., Elmaraghy, H. A., Nee, A. Y. C., et al. (2013). CAD model based virtual assembly simulation, planning and training. CIRP Annals Manufacturing Technology, 62(2), 799–822.

    Article  Google Scholar 

  • Li, G. D., Zhou, L. S., An, L. L., et al. (2009). A methodology for rapid assembly modeling of components with typical assembly feature. In Proceedings of 2009 international conference on measuring technology and mechatronics automation (Vol. 2, pp. 179–183). IEEE.

  • Liu, J. H., & Sun, Z. Y. (2007). Representing design intents for design thinking process medelling. Global design to gain a competitive edge. London: Springer.

    Google Scholar 

  • Liu, Z. Y., & Tan, J. R. (2007). Constrained behavior manipulation for interactive assembly in a virtual environment. International Journal of Advanced Manufacturing Technology, 32, 797–810.

    Article  Google Scholar 

  • Mascle, C. (2002). Feature-based assembly model for integration in computer-aided assembly. Robotics and Computer-Integrated Manufacturing, 18, 373–378.

    Article  Google Scholar 

  • Ma, Y. S., Britton, G. A., Tor, S. B., et al. (2007). Associative assembly design features: Concept implementation and application. International Journal of Advanced Manufacturing Technology, 32, 434–444.

    Article  Google Scholar 

  • Ma, Y. S., Chen, G., & Thimm, G. (2008). Paradigm shift: Unified and associative feature-based concurrent and collaborative engineering. Journal of Intelligent Manufacturing, 19, 625–641.

    Article  Google Scholar 

  • Plumed, R., Varley, P., & Company, P. (2012). Features and design intent in engineering sketches. Intelligent Computer Graphics, SCI, 441, 77–106.

    Google Scholar 

  • Qian, L., & Gero, J. S. (1996). Function–behavior–structure paths and their role in analogy-based design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 10(4), 289–312.

    Article  Google Scholar 

  • Quintana, V., Rivest, L., & Pellerin, R. (2010). Will model-based definition replace engineering drawings throughout the product lifecycle? A global perspective from aerospace industry. Computers in Industry, 61, 497–508.

    Article  Google Scholar 

  • Roy, U., & Bharadwaj, B. (2002). Design with part behaviors: Behavior model, representation and applications. Computer-Aided Design, 34, 613–636.

    Article  Google Scholar 

  • Shah, J. J., & Rogers, M. T. (1993). Assembly modeling as an extension of feature-based design. Research in Engineering Design, 5, 212–237.

    Article  Google Scholar 

  • Shang, Y., Huang, K. Z., & Zhang, Q. P. (2009). Genetic model for conceptual design of mechanical products based on functional surface. The International Journal of Advanced Manufacturing Technology, 42(3–4):211–221.

  • Singh, P., & Bettig, B. (2004). Port-compatibility and connectability based assembly design. Journal of Computing and Information Science in Engineering, 4, 197–205.

    Article  Google Scholar 

  • Sodhi, R., & Turner, J. U. (1991). Representing tolerance and assembly information in a feature-based design environment. In Proceedings of the 1991 ASME design automation conference, Miami, Florida, USA (vol. DE-vol. 32-1, pp. 101–108).

  • Sosa, R., Lee, J. B., Albarran, D., et al. (2015). From concept to specification maintaining early design intent. In ICoRD’15—Research into design across boundaries (Vol. 2, pp. 445–457). Springer, India.

  • van Holland, W., & Bronsvoort, W. F. (2000). Assembly features in modeling and planning. Robotics and Computer-Integrated Manufacturing, 16, 277–294.

    Article  Google Scholar 

  • Wang, H., Xiang, D., Duan, G., et al. (2007). Assembly planning based on semantic modeling approach. Computers In Industry, 58, 227–239.

    Article  Google Scholar 

  • Welch, R. V., & Dixon, J. R. (1992). Representing function, behavior and structure during conceptual design. In Proceedings of the ASME design theory and methodology conference (pp. 11–18).

  • Xu, Z., Li, Y., Zhang, J., et al. (2013). Product modeling framework based on interaction feature pair. Computer-Aided Design, 45(12), 1591–1603.

    Article  Google Scholar 

  • Xu, Z., Wang, Q., & Li, J. (2016). Product modeling based on structure pre-mapping. Journal of Mechanical Engineering. http://www.cnki.net/kcms/detail/11.2187.TH.20160830.0900.048.html. Accessed 30 Aug 2016. (in Chinese with English Abstract).

  • Yoo, M. J., Um, J. Y., Stroud, I., et al. (2014). Integration of design intent during the product lifecycle management. Product lifecycle management for a global market. Berlin: Springer.

    Google Scholar 

  • Zhang, J., Wang, P., Zuo, M., et al. (2015). Automatic assembly simulation of product in virtual environment based on interaction feature pair. Journal of Intelligent Manufacturing. doi:10.1007/s10845-015-1173-y.

  • Zhang, J., Xu, Z., Li, Y., et al. (2015). Framework for the integration of assembly modeling and simulation based on assembly feature pair. International Journal of Advanced Manufacturing Technology, 2015(78), 765–780.

  • Zhu, H., Wu, D., & Fan, X. (2010). Interactive assembly tool planning based on assembly semantics in virtual environment. International Journal of Advanced Manufacturing Technology, 51, 739–755.

    Article  Google Scholar 

Download references

Acknowledgements

This work is financially supported by Nature Science Foundation of China (51505152, 51275177), the China Postdoctoral Science Foundation (2016T90780), the Fundamental Research Funds for the Central Universities (2015NM027), the Open Foundation of the State Key Laboratory of CAD&CG of Zhejiang University (A1508), and the Science & Technology Research Program of Guangdong (2016A030310409). Great thanks are also given to the anonymous reviewers for their comments and suggestions, which helped us to improve the manuscript.

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  1. School of Mechanical and Automotive Engineering, South China University of Technology, Wushan Road 381#, Guangzhou, 510640, People’s Republic of China

    Zhi-Jia Xu, Qing-Hui Wang & Jing-Rong Li

  2. The Ministry of Education Key Lab of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an, 710072, People’s Republic of China

    Pan Wang

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  1. Zhi-Jia Xu
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Correspondence to Zhi-Jia Xu.

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Xu, ZJ., Wang, P., Wang, QH. et al. Integrating part modeling and assembly modeling from the perspective of process. J Intell Manuf 30, 855–878 (2019). https://doi.org/10.1007/s10845-016-1288-9

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