International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
권호 표지
DOI QR코드

DOI QR Code

Design of reliability critical system using axiomatic design with FMECA

  • Goo, Bongeun (Dept. of Mechanical Engineering, KAIST) ;
  • Lee, Joohee (Dept. of Mechanical Engineering, KAIST) ;
  • Seo, Suwon (Dept. of Mechanical Engineering, KAIST) ;
  • Chang, Daejun (Dept. of Mechanical Engineering, KAIST) ;
  • Chung, Hyun (Department of Naval Architecture & Ocean Engineering, Chungnam National University)
  • Received : 2017.07.06
  • Accepted : 2017.11.24
  • Published : 2019.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

In product design, the initial design stage is being increasingly emphasized because it significantly influences the successive product development and production stages. However, for larger and more complex products, it is very difficult to accurately predict product reliability in the initial design stage. Various design methodologies have been proposed to resolve this issue, but maintaining reliability while exploring design alternatives is yet to be achieved. Therefore, this paper proposes a methodology for conceptual design considering reliability issues that may arise in the successive detailed design stages. The methodology integrates the independency of axiomatic design and the hierarchical structure of failure mode, effects, and criticality analysis (FMECA), which is a technique widely used to analyze product reliability. We applied the proposed methodology to a liquefied natural gas fuel gas supply system to verify its effectiveness in the reliability improvement of the design process.

Keywords

References

  1. Abdelkader, B., Daoud, A.K., 1994. A state of the art review of FMEA/FMECA. Int. J. Reliab. Qual. Saf. Eng. 1 (4), 515-543. https://doi.org/10.1142/S0218539394000362
  2. Arcidiacono, G., 1997. FMECA application to a continuous rolling machine for sole leather. In: International Conference on Engineering Design, vol. 25, pp. 647-650.
  3. Arcidiacono, G., 2000. Axiomatic design for reliability. ATA Mot. Car Eng. J. 53, 309-315.
  4. Arcidiacono, G., Delogu, M., 2001. The integration of reliability techniques as an aid to the design optimization of an earth moving machine. In: ASME International, Proceedings of International ME 2001 Congress and Exposition, New York (USA).
  5. Arcidiacono, G., Campatelli, G., 2004. Reliability improvement of a diesel engine using the FMETA approach. Qual. Reliab. Eng. Int. 20, 143-154. https://doi.org/10.1002/qre.627
  6. An, C., Lee, D., Son, Y., Lee, H.,S., 2010. A study for reliability improvement of belt type door system using FMECA. Korean Soc. Railw. 13, 58-64.
  7. Chen, Z., Tan, R., 2006. Study on integrating application method for AD and TRIZ. IFIP Int. Fed. Inf. Process. 207, 421-432.
  8. Goo, B.G., Ahn, J.G., Kwak, J.M., Chang, D.J., Chung, H., 2011. A methodology to improve the reliability of the design: axiomatic design with FMECA. In: Proceedings of the Society of CAD/CAM Engineers Conference, vol. 1, pp. 717-731.
  9. Heo, G.Y., Lee, T.S., Do, S.H., 2010. Interactive system design using the complementarity of axiomatic design and fault tree analysis. Nucl. Eng. Technol. 39, 51-62. https://doi.org/10.5516/NET.2007.39.1.051
  10. IEEE Std 352, 1987. IEEE Guide for General Principles of Reliability Analysis of Nuclear Power Generating Station Safety Systems. The Institute of Electrical and Electronics.
  11. Joseph, A., Childs, A.M., 1999. A modified FMEA tool for use in identifying and addressing common cause failure risks in industry. Annu. Rel. Maint. Sym 1, 19-24.
  12. Kulak, O., Kahraman, C., Oztaysi, B., Tanyas, M., 2005. Multi-attribute information technology project selection using fuzzy axiomatic design. J. Enterp. Inf. Manag. 18, 275-288. https://doi.org/10.1108/17410390510591978
  13. Lee, K.S., Choi, J.H., 2009. A conceptual design of new automatic bicycle transmission by TRIZ and design axiom. J. Korean Soc. Mech. Eng. 33, 269-275. https://doi.org/10.3795/KSME-A.2009.33.3.269
  14. Park, G.J., 2007. Introduction to Mechanical Design. Dong-Myeong Press, Paju, Republic of Korea.
  15. Pickard, K., Muller, P., Bertsche, B., 2005. Multiple failure mode and effects analysis - an approach to risk assessment of multiple failures with FMEA. Rel. Maint. Sym 1, 457-462.
  16. Rausand, M., Hoyland, A., 2004. System Reliability Theory Models, Statistical Methods, and Applications, second ed. John Wiley & Sons, Inc., Hoboken, New Jersey.
  17. Suh, N.P., 1998. Axiomatic design theory for systems. Res. Eng. Des. 10, 189-209. https://doi.org/10.1007/s001639870001
  18. Suh, N.P., 1990. Principles of Design. Oxford University Press, New York.
  19. Seung, J.R., Kosuke, I., 2003. Using cost based FMEA to enhance reliability and serviceability. Intell. Maint. Syst. 17, 179-188.
  20. Shin, G.S., Park, G.J., 2004. Conceptual design of a beam splitter for the laser marker using axiomatic design and TRIZ. J. Korean Soc. Precis. Eng. 21, 166-173.
  21. Shin, G.S., Kim, Y.I., Park, G.J., 2007. Decoupling process of a coupled design in axiomatic design using the Triz. Proc. Korean Soc. Mech. Eng. 31, 77-88. https://doi.org/10.3795/KSME-A.2007.31.1.077
  22. Shirwaiker, R., Okudan, G., 2008. Triz and axiomatic design: a review of case-studies and a proposed synergistic use. J. Intell. Manuf. 19, 33-47. https://doi.org/10.1007/s10845-007-0044-6
  23. Seo, S.W., 2012. A Pump-free Pressure Boosting System for LNG Fuel Gas Supply System. MS Thesis. Dept. of Mechanical Engineering, KAIST. http://library.kaist.ac.kr/thesis02/2012/2012M020104341_S1Ver2.pdf.
  24. Seo, S.W., Chu, B.S., Noh, Y.Y., Jang, W.H., Lee, S.I., Seo, Y.T., Chang, D.J., 2014. An economic evaluation of operating expenditures for LNG fuel gas supply systems onboard. Ships Offshore Struct. 11 (2), 213-223.
  25. Telsang, M., 2006. Industrial Engineering and Production Management. S Chand & Co Ltd, New Delhi.
  26. Wuersig, G.M., 2014. LNG as Ship Fuel. DNV GL, Hamburg.
  27. Yang, K., Zhang, H., 2000. A comparison of TRIZ and axiomatic design. In: First International Conference on Axiomatic Design, vol. 1, pp. 235-242.
  28. Zigmund, B., Rafi, P., Pavel, G., 2005. Bouncing failure analysis (BFA): the unified FTA-FMEA methodology. Annu. Rel. Maint. Sym 1, 463-467.

Cited by

  1. Clinical risk evaluation of medical device software: an axiomatic design-based methodology vol.301, 2019, https://doi.org/10.1051/matecconf/201930100005
  2. Research on Designing an Industrial Product-Service System with Uncertain Customer Demands vol.2021, 2019, https://doi.org/10.1155/2021/8897539
  3. Model-Based Safety Analysis and Design Enhancement of a Marine LNG Fuel Feeding System vol.9, pp.1, 2019, https://doi.org/10.3390/jmse9010069
  4. A holistic method of complex product development based on a neural network-aided technological evolution system vol.48, 2021, https://doi.org/10.1016/j.aei.2021.101294
  5. Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information vol.34, pp.1, 2021, https://doi.org/10.1186/s10033-021-00539-6