Modeling for assembly simulations: Data description and a data-driven construction framework

被引：0
作者：
Qiao L. [1 ]
Qie Y. [1 ]
Zhu Y. [1 ]
机构：
[1] School of Mechanical Engineering and Automation, Beihang University, Engineering Research Center of Complex Product
来源：
International Journal of Modeling, Simulation, and Scientific Computing | 2017年 / 8卷 / 02期
关键词：
Assembly simulation; data-driven; fast modeling;
D O I：
10.1142/S1793962317500441
中图分类号：
学科分类号：
摘要：
Assembly simulations such as assembly process simulation and assembly tolerance simulation have become an effective means to evaluate and analyze product assembly design and assembly process planning. Being core aspect of simulation implementation, building an assembly simulation model is rather time-consuming because of its high complexity. Furthermore, modeling has a significant influence on the popularization and application of simulation technology. In this paper, data needed by assembly process and tolerance simulation are addressed to propose a data-driven approach for assembly simulation modeling. The application process and the architecture of modeling framework for assembly simulation are presented as well. An assembly sequence simulation example is given to illustrate the application of the framework. The framework provides a new idea for the realization of automatic modeling for assembly simulation. © 2017 World Scientific Publishing Company.
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  • [1] Muelaner J.E., Martin O.C., Maropoulos P.G., Achieving low cost and high quality aero structure assembly through integrated digital metrology systems, Procedia Cirp., 7, 5, pp. 688-693, (2013)
  • [2] Song X., Wu Y., Ma Y., Military simulation big data: Background, state of the art, and challenges, Math. Probl. Eng., 2015, 1, pp. 1-20, (2015)
  • [3] Ju Y.L., Kang H.S., Kim G.Y., Sang D.N., Concurrent material flow analysis by P3R-driven modeling and simulation in PLM, Comput. Ind., 63, 5, pp. 513-527, (2012)
  • [4] Jeong K.Y., Allan D., Integrated system design, analysis and database-driven simulation model generation, 37th Annual Symp. Simulation, pp. 80-85, (2004)
  • [5] Tannock J., Cao B., Farr R., Et al., Data-driven simulation of the supply-chain-Insights from the aerospace sector, Int. J. Prod. Econ., 110, 1-2, pp. 70-84, (2007)
  • [6] Johansson M., Johansson B., Skoogh A., Leong S., Riddick F., Lee Y.T., Et al., A test implementation of the core manufacturing simulation data specification, Winter Simulation Conf., Wsc, 1, pp. 1673-1681, (2007)
  • [7] Song X., Zhang L., Gong G., Digital product data exchange in semantic serviceoriented architecture, COMPEL., 28, 6, pp. 1560-1578, (2009)
  • [8] Song X., Chai X.D., Zhang L., Modeling framework for product lifecycle information, Simul. Model. Pract. Theory, 18, 8, pp. 1080-1091, (2010)
  • [9] Li J.Z., Uma J., OkJoon K., Semantic applications enabling reasoning in product assembly ontologies-Moving past modeling, J. Comput. Inf. Sci. Eng., 12, 1, (2012)
  • [10] Wang H., Xiang D., Duan G., Et al., Assembly planning based on semantic modeling approach, Comput. Ind., 58, 3, pp. 227-239, (2007)
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