Skip to main content
Log in

A simple optimization method for the design of a lightweight, explosion-proof housing for a coal mine rescue robot

  • Technical Paper
  • Published:
Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

Weight has a significant effect on the mobile performance of a robot. A coal mine rescue robot (CMRR) is a special type of mobile robot and is relatively heavy because it is explosion proof. In this study, a simple optimization method is proposed for the design of a lightweight, explosion-proof housing of a CMRR. A stress analysis of the individual panels is performed first and ANSYS software is used to perform a stress analysis of multiple stiffened panels. A simple stress equation is developed based on the results and represents the basis of the optimization method. Subsequently, the optimization equations of the explosion-proof housing are developed and the explosion-proof housing of the CUMT-IV robot is designed. Explosion tests were conducted using a physical prototype to verify the strength of the explosion-proof housing. Further, two simple guidelines are developed based on the optimized results to reduce the design difficulty for engineering applications. The simple optimization method proved suitable for designing the explosion-proof housing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Morris A, Ferguson D, Omohundro Z, Bradley D, Silver D, Baker C, Thayer S, Whittaker C, Whittaker W (2006) Recent developments in subterranean robotics. J Field Robot 23(1):35–57

    Article  MATH  Google Scholar 

  2. Wang W, Dong W, Su Y, Wu D, Du Z (2014) Development of search-and-rescue robots for underground coal mine applications. J Field Robot 31(3):386–407

    Article  Google Scholar 

  3. Zhao J, Gao J, Zhao F, Liu Y (2017) A search-and-rescue robot system for remotely sensing the underground coal mine environment. Sensors 17(10):2426–2448

    Article  Google Scholar 

  4. Li YT, Zhu H, Li MG, Li P (2016) A novel explosion-proof walking system: twin dual-motor drive tracked units for coal mine rescue robots. J Cent South Univ 23(10):2570–2577

    Article  Google Scholar 

  5. Reddy AH, Kalyan B, Murthy CSN (2015) Mine rescue robot system—a review. Proc Earth Planet Sci 11:457–462

    Article  Google Scholar 

  6. Dohare YS, Maity T, Das PS, Paul PS (2015) Wireless communication and environment monitoring in underground coal mines—review. IETE Tech Rev 32(2):140–150

    Article  Google Scholar 

  7. Ma X, Zhu H (2016) Gas concentration prediction based on the measured data of a coal mine rescue robot. J Robot 3:1–10

    Google Scholar 

  8. Li YW, Ge SR, Zhu H (2009) Design and manufacture of flameproof enclosure of coal mine rescue robot. Coal Mine Mach 30(2):104–106

    Google Scholar 

  9. Zhou D, Zhang J, Song Z (2009) Modeling and finite element analysis of flameproof enclosure of coal mine mobile robot. Coal Mine Mach 33(6):84–86

    Google Scholar 

  10. Krause T, Bewersdorff J, Markus D (2017) Investigations of static and dynamic stresses of flameproof enclosures. J Loss Prev Process Ind 49:775–784

    Article  Google Scholar 

  11. Sun Y, Liu L (2015) Optimization design of complex flameproof enclosure based on finite element analysis. Ind Mine Autom 41(4):52–54

    Google Scholar 

  12. Zhao JC, Hou YL, Liu JJ, Gao P (2015) Flame-proof enclosure hydraulic pressure test analysis of underground electrical equipment. Coal Mine Mach 36(4):102–104

    Google Scholar 

  13. Jang S, Goh CH, Choi HJ (2015) Multiphase design exploration method for lightweight structural design: example of vehicle mounted antenna-supporting structure. Int J Precis Eng Manuf Green Technol 2(3):281–287

    Article  Google Scholar 

  14. Toledo R, Aznárez JJ, Greiner D, Maeso O (2016) Shape design optimization of road acoustic barriers featuring top-edge devices by using genetic algorithms and boundary elements. Eng Anal Boundary Elem 63:49–60

    Article  MathSciNet  Google Scholar 

  15. Wang C, Zhao M, Ge T (2016) Structural topology optimization with design-dependent pressure loads. Struct Multidiscipl Optim 53(5):1005–1018

    Article  MathSciNet  Google Scholar 

  16. GB 3836.2-2010 (2011) Explosive atmospheres—part 2: equipment protection by flameproof enclosures “d”. China Standard Press, Beijing

    Google Scholar 

  17. Xu MC, Soares CG (2012) Numerical assessment of experiments on the ultimate strength of stiffened panels. Eng Struct 45(2284):460–471

    Article  Google Scholar 

  18. Wang Y, Wharton JA, Shenoi RA (2015) Ultimate strength assessment of steel stiffened plate structures with grooving corrosion damage. Eng Struct 94:29–42

    Article  Google Scholar 

  19. An Y, Wang C, Cui H (2016) Design of thinner and lighter explosion proof housing for coal mine flameproof electrical equipment. Colliery Mech Electr Technol 1:38–40

    Google Scholar 

Download references

Acknowledgments

The project is supported by the National High Technology Research and Development Program of China (863 Program) (Grant No. 2012AA041504) and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hua Zhu.

Additional information

Technical Editor: Victor Juliano De Negri.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Zhu, H. A simple optimization method for the design of a lightweight, explosion-proof housing for a coal mine rescue robot. J Braz. Soc. Mech. Sci. Eng. 40, 340 (2018). https://doi.org/10.1007/s40430-018-1264-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40430-018-1264-8

Keywords

Navigation