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Cluster Computing

, Volume 22, Supplement 6, pp 13235–13245 | Cite as

Simulation and analysis of airbag parameter variation under different gas flows

  • FengJun HuEmail author
Article
  • 218 Downloads

Abstract

In order to improve the accuracy of the airbag-based flexible robot in simulating the human body, and make its surface fit the human body surface better. For the balloon filled airbag in flexible robot, the process of airbag parameters under different gas flow is simulated and analyzed. First, for the traditional airbag inflatable simulation method ignoring the different gas volume flow on the impact of airbag deformation. The air bag inflation control model based on gas volume flow is constructed, the pressure of the airbag inflated is optimized by calculation of gas mass flow simulation inflation and leakage. Finally, the grid unit is used to divide the internal volume of the airbag, and its discrete optimization is carried out to simulate the expansion of the airbag. The simulation results show that the simulation method proposed in this paper can complete the process of spherical airbag. The maximum safety pressure of the airbag and the corresponding temperature are obtained from the simulation results, which can provide the theoretical basis for the surface fitting of the flexible garment fitting robot based on airbag.

Keywords

Flexible robot Spherical airbag Parameter variation Surface fitting Finite element analysis 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 51675490), and Young Academic Team Project of Zhejiang Shuren University.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  1. 1.
    Ck, G., Hu, S.Z.: Study on the clothing virtual digital display and online customized business system. Shanghai Text. Sci. Technol. 42(4), 57–60 (2014)Google Scholar
  2. 2.
    Zeng, Y., Chen, Y.Y., Zhang, Y.: Online virtual fitting system based on humanbody recognition. TV Eng. 38(11), 206–210 (2014)Google Scholar
  3. 3.
    Chen, X., Hao, K.R., Ding, Y.S.: Simulation of visual servo control for multi-aerocyst flexible fitting robot. Comput. Simul. 31(10), 381–385 (2014)Google Scholar
  4. 4.
    Sun, W.Y.: Application and prospect of 3D clothing fitting technique in fashion design industry. Shanghai Text. Sci. Technol. 44(10), 38–39 (2016)Google Scholar
  5. 5.
    Shi, Y.L., Zhang, M.L., Zhang, X.J., Bai, F.: Design and analysis of a rotary-type robot flexible joint. China Mech. Eng. 27(18), 2494–2500 (2016)Google Scholar
  6. 6.
    Zhang, Q., Xiao, X.H., Wang, Y., You, Penghui, Xie, Tao: Compliant joint for biped robot considering energy consumption optimization. J. Cent. South Univ. Sci. Technol. 46(11), 4070–4076 (2015)Google Scholar
  7. 7.
    Wang, X.Z., Li, H.Y., Wang, Y.C., Cui, L.: High-precision adaptive backstepping control of flexible joint robots. Inf. Control 45(1), 1–7 (2016)Google Scholar
  8. 8.
    Zhang, X.R., Liu, Q., Huang, J.Y., Zhu, Y.S.: Simulation of airbag deployment and pressure analysis based on CFD. Sci. Technol. Eng. 15, 209–213 (2015)Google Scholar
  9. 9.
    Deng, W.B., Peng, B.Y., Ma, L.: A study on airbag inflation and passenger safety based on finite element method. Automob. Technol. z1(1), 29–31 (2006).Google Scholar
  10. 10.
    Xu, J.J., Ma, L., Wang, X.H.: Numerical simulation of the dynamic permeability of airbag fabrics. J. Donghua Univ. 36(3), 229–232 (2010)Google Scholar
  11. 11.
    Wang, N., Peng, X.Q., Lu, H.S., Jiang, Y.G.: Folded airbag simulation based on corpuscular particle method. Chin. J. Mech. Eng. 51(12), 120–126 (2015)CrossRefGoogle Scholar
  12. 12.
    Cheng, G., Wang, W.D., Shi, B.J., Wang, Z.L.: FEM and experiment study on compression properties of airbag. China Elastomerics 20(1), 8–12 (2010)MathSciNetGoogle Scholar
  13. 13.
    Yang, Y.L., Huang, Y.Q., Xu, Y.L., Lu, P., He, J.G.: Analysis of instrument panel airbag deployment based on particle method. Automob. Technol. 9, 58–61 (2014)Google Scholar
  14. 14.
    Chen, W.J., Tang, Y.F., Ren, X.Q., Dong, S.L.: Analysis methods of structural design and characteristics of numerical algorithm for ETFE air inflated film structures. Spat. Struct. 4, 38–43 (2010)Google Scholar
  15. 15.
    Yu, L., Cheng, H., Liu, X.: Numerical simulation of airbag during deploying process. J. Nanjing Univ. Aeronaut. Astronaut. 42(4), 472–476 (2010)Google Scholar
  16. 16.
    Sun, J.H., Zhou, T., Li, M.Q., Wang, C.L., Yue, C.: Numerical analysis of emergent airbag deployment and ditching crashworthiness process. J. Nanjing Univ. Aeronaut. Astronaut. 44(5), 713–717 (2012)Google Scholar
  17. 17.
    Zhou, S.M., Li, D.K., Tang, G.J.: Nonlinear finite element analysis of inflatable self-sealing bladder. Lubr. Eng. 10, 59–63 (2010)Google Scholar
  18. 18.
    Dai, X.F., Zong, Z., Wang, X.J., Nie, C.: A comparative study on the CV and ALE methods for simulating folded airbag deployment. Automot. Eng. 30(8), 676–680 (2008)Google Scholar
  19. 19.
    Yang, Y.Z., Jin, X.L., Zhang, G., Wei, W.: Numerical simulation of ALE multi-material method for a composite membrane air-charge mattress. J. Vibr. Shock 31(8), 107–111 (2012)Google Scholar
  20. 20.
    Lu, S.B., Dong, L.P., Chen, G., Zhang, J.Y., Yang, Z.C.: Numerical simulation of curtain airbag deployment based on arbitrary Lagrangian–Eulerian algorithm. Automot. Eng. 31(12), 1158–1161 (2009)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Information TechnologyZhejiang Shuren UniversityHangzhouChina

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