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Toward Joint Application of Fuzzy Systems and Augmented Reality in Aircraft Disassembly

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Intelligent and Fuzzy Techniques in Aviation 4.0

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 372))

Abstract

Advanced optimization models are required for the disassembly of complex products. There are stochastic variables in sequence planning, and real-time and data-driven approaches play an essential role in this context. In the case of aircraft at their end of life, the specifications and requirements of airworthiness should be followed. Hence, a collaborative and dynamic disassembly operation is required. Industry 4.0 is a promising paradigm for dealing with the uncertainties of value extracted from recovered parts and materials and the sustainability of the disassembly operation. Aviation 4.0 with its enabling technologies provides new tools and methods for addressing the challenges of the sustainability and efficiency of aircraft during the entire lifecycle. Advanced 3D simulation environment aids researchers and operators in testing and analyzing recovery options and working on different scenarios before performing a real operation. This chapter proposes a system architecture based on augmented reality and fuzzy intelligent decision-making for the disassembly of complex products. The application perspective for aircraft parts is discussed.

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References

  1. IATA Report. https://www.iata.org/contentassets/ffbed17ac843465aad778867cb23c45c/bipad.pdf (2018)

  2. Guyon, I., Amine, R., Tamayo, S., Fontane, F.: Analysis of the Opportunities of Industry 4.0 in the Aeronautical Sector (2019)

    Google Scholar 

  3. Junior, A.L., Lemos, G.F.C., Trabasso, L.G.: Proposal of a method for the implementation of the Industry 4.0-aircraft final assembly domain. In: FT2019. Proceedings of the 10th Aerospace Technology Congress, October 8–9, 2019, Stockholm, Sweden (No. 162, pp. 199-209). Linköping University Electronic Press

    Google Scholar 

  4. Barbosa, G.F., Aroca, R.V.: Advances of Industry 4.0 concepts on aircraft construction: an overview of trends. J Steel Struct Constr 2472-0437 (2017)

    Google Scholar 

  5. Keivanpour S.: End of Life Management of Complex Products in an Industry 4.0 Driven and Customer-Centric Paradigm: A Research Agenda, accepted in MOSIM 2020 (2020)

    Google Scholar 

  6. Vijayan, K.K., Mork, O.J.: IdeaLab: a learning factory concept for norwegian manufacturing SME. Procedia Manuf. 45, 411–416 (2020)

    Article  Google Scholar 

  7. Tvenge, N., Olga, O., Niels, P. Ø., and Kristian, M.: Added value of a virtual approach to simulation-based learning in a manufacturing learning factory. Procedia CIRP88, 36–41 (2020)

    Google Scholar 

  8. Mourtzis, D., Angelopoulos, J., Dimitrakopoulos, G.: Design and development of a flexible manufacturing cell in the concept of learning factory paradigm for the education of generation 4.0 engineers. Procedia Manuf. 45, 361–366 (2020)

    Article  Google Scholar 

  9. Mourtzis, D., Siatras, V., Angelopoulos, J., Panopoulos, N.: An augmented reality collaborative product design cloud-based platform in the context of learning factory. Procedia Manuf. 45, 546–551 (2020)

    Article  Google Scholar 

  10. Kerin, M., Pham, D.T.: A review of emerging industry 4.0 technologies in remanufacturing. J. Cleaner Prod. 117805 (2019)

    Google Scholar 

  11. Frizziero, L., Liverani, A., Caligiana, G., Donnici, G., Chinaglia, L.: Design for disassembly (DfD) and augmented reality (AR): case study applied to a gearbox. Machines 7(2), 29 (2019)

    Article  Google Scholar 

  12. Wang, C.H., Tsai, N.H., Lu, J.M., Wang, M.J.J.: Usability evaluation of an instructional application based on Google Glass for mobile phone disassembly tasks. Appl. Ergon. 77, 58–69 (2019)

    Article  Google Scholar 

  13. Xie, Y., Zhang, Y., Cai, Y.: Virtual reality engine disassembly simulation with natural hand-based interaction. In: VR, Simulations and Serious Games for Education, pp. 121–128. Springer, Singapore (2019)

    Google Scholar 

  14. Rocca, R., Rosa, P., Sassanelli, C., Fumagalli, L., Terzi, S.: Integrating virtual reality and digital twin in circular economy practices: a laboratory application case. Sustainability 12(6), 2286 (2020)

    Article  Google Scholar 

  15. Lee, M.C.M.: Augmented Reality Applications In Product Disassembly. Doctoral Dissertation (2019)

    Google Scholar 

  16. Hassan, S., Yoon, J.: Haptic guided optimized aircraft maintenance assembly disassembly path planning scheme. In ICCAS 2010, pp. 1667–1672. IEEE (2010)

    Google Scholar 

  17. Yoon, J.: Intelligent assembly/disassembly system with a haptic device for aircraft parts maintenance. In: International Conference on Computational Science, pp. 760–767. Springer, Berlin, Heidelberg (2007)

    Google Scholar 

  18. Dayi, O., Afsharzadeh, A., Mascle, C.: A Lean based process planning for aircraft disassembly. IFAC-PapersOnLine 49(2), 54–59 (2016)

    Article  MathSciNet  Google Scholar 

  19. Camelot, A., Baptiste, P., Mascle, C.: Decision support tool for the disassembly of reusable parts on an end-of-life aircraft. In: Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM), pp. 1–8. IEEE (2013a)

    Google Scholar 

  20. Camelot, A., Mascle, C., Baptiste, P.: Disassembly of spare parts on an EOL aircraft. In: 2013 IEEE International Symposium on Assembly and Manufacturing (ISAM), pp. 135–137. IEEE (2013b)

    Google Scholar 

  21. Tang, X.M., Zhong, S.S.: Petri nets based aircraft maintenance disassembly and assembly process planning. J. Civ. Aviat. Univ. China 5 (2006)

    Google Scholar 

  22. Zhong, L., Youchao, S., Gabriel, O.E., Haiqiao, W.: Disassembly sequence planning for maintenance based on metaheuristic method. Aircraft Engineering and Aerospace Technology (2011)

    Google Scholar 

  23. Zhang, K.F., Zhao, L., Li, Y., Shao, Y.: Effective component disassembly approach for aircraft assembly based on fuzzy-clustering algorithm. In: 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 850–855. IEEE (2008)

    Google Scholar 

  24. Zahedi, H., Mascle, C., Baptiste, P.: Advanced airframe disassembly alternatives; an attempt to increase the afterlife value. Procedia CIRP 40, 168–173 (2016)

    Article  Google Scholar 

  25. Sabaghi, M., Cai, Y., Mascle, C., Baptiste, P.: Sustainability assessment of dismantling strategies for end-of-life aircraft recycling. Resour. Conserv. Recycl. 102, 163–169 (2015)

    Article  Google Scholar 

  26. Sabaghi, M., Cai, Y., Mascle, C., Baptiste, P.: Towards a sustainable disassembly/dismantling in aerospace industry. Procedia CIRP 40, 156–161 (2016)

    Article  Google Scholar 

  27. Zou, F., Chen, Y., Wei, K.: Landing gear virtual disassembly and assembly system based on Unity3D. In: 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), vol. 1, pp. 2745–2748. IEEE (2019)

    Google Scholar 

  28. Zhou, Z., Liu, J., Pham, D.T., Xu, W., Ramirez, F.J., Ji, C., Liu, Q.: Disassembly sequence planning: recent developments and future trends. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 233(5), 1450–1471 (2019)

    Article  Google Scholar 

  29. Zhou, Z., Jiayi, L., Pham D T., Xu, W., Javier Ramirez, F., Chunqian, Ji., and Quan, L.: Disassembly sequence planning: Recent developments and future trends. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233(5) 1450-1471 (2019)

    Google Scholar 

  30. Gao, M., Zhou, M., Tang, Y.: Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets. IEEE Trans. Syst. Man Cybern. Part B (Cybernetics) 34(5), 2029–2034 (2004)

    Article  Google Scholar 

  31. Tang, Y., Turowski, M.: Adaptive fuzzy system for disassembly process planning with uncertainty. J. Chin. Inst. Ind. Eng. 24(1), 20–29 (2007)

    Google Scholar 

  32. Zhao, S.E., Li, Y.L., Fu, R., Yuan, W.: Fuzzy reasoning Petri nets and its application to disassembly sequence decision-making for the end-of-life product recycling and remanufacturing. Int. J. Comput. Integr. Manuf. 27(5), 415–421 (2014)

    Article  Google Scholar 

  33. Hsu, H.P.: A fuzzy knowledge-based disassembly process planning system based on fuzzy attributed and timed predicate/transition net. IEEE Trans. Syst. Man Cybern. Syst. 47(8), 1800–1813 (2016)

    Article  Google Scholar 

  34. Tian, G., Zhou, M., Li, P.: Disassembly sequence planning considering fuzzy component quality and varying operational cost. IEEE Trans. Autom. Sci. Eng. 15(2), 748–760 (2017)

    Article  Google Scholar 

  35. Galantucci, L.M., Percoco, G., Spina, R.: Assembly and disassembly planning by using fuzzy logic & genetic algorithms. Int. J. Adv. Robot. Syst. 1(2), 7 (2004)

    Article  Google Scholar 

  36. Gonnuru, V.K.: Disassembly planning and sequencing for end-of-life products with RFID enriched information. Robot. Comput. Integr. Manuf. 29(3), 112–118 (2013)

    Article  Google Scholar 

  37. Xiaoyong, P., Guanghong, D., Dong, X., Peng, M.: Intelligent disassembly sequence planning for EOL recycling based on hierarchical fuzzy cognitive map. In: Proceedings of the 2005 IEEE International Symposium on Electronics and the Environment, pp. 255–259. IEEE, 2005

    Google Scholar 

  38. Feng, Y., Zhou, M., Tian, G., Li, Z., Zhang, Z., Zhang, Q., Tan, J.: Target disassembly sequencing and scheme evaluation for CNC machine tools using improved multiobjective ant colony algorithm and fuzzy integral. IEEE Trans. Syst. Man Cybern. Syst. 49(12), 2438–2451 (2018)

    Article  Google Scholar 

  39. Chang, M.M.L., Nee, A.Y.C., Ong, S.K.: Interactive AR-assisted product disassembly sequence planning (ARDIS). Int. J. Prod. Res. 1–16 (2020)

    Google Scholar 

  40. Chang, M.M.L., Ong, S.K., Nee, A.Y.C.: AR-guided product disassembly for maintenance and remanufacturing. Procedia Cirp 61, 299–304 (2017)

    Article  Google Scholar 

  41. Mircheski, I., Rizov, T.: Improved nondestructive disassembly process using augmented reality and RFID product/part tracking. TEM J. (2017)

    Google Scholar 

  42. Osti, F., Ceruti, A., Liverani, A., Caligiana, G.: Semi-automatic design for disassembly strategy planning: an augmented reality approach. Procedia Manuf. 11, 1481–1488 (2017)

    Article  Google Scholar 

  43. Tegeltija, S.S., Lazarević, M.M., Stankovski, S.V., Ćosić, I.P., Todorović, V.V., Ostojić, G.M.: Heating circulation pump disassembly process improved with augmented reality. Therm. Sci. 20(suppl. 2), 611–622 (2016)

    Article  Google Scholar 

  44. Ceruti, A., Liverani, A., Marzocca, P.: A 3D User and Maintenance Manual for UAVs and Commercial Aircrafts Based on Augmented Reality. SAE Technical Paper 2015-01-2473 (2015)

    Google Scholar 

  45. Ceruti, A., Marzocca, P., Liverani, A., Bil, C.: Maintenance in aeronautics in an industry 4.0 context: the role of augmented reality and additive manufacturing. J. Comput. Des. Eng. 6(4), 516–526 (2019)

    Google Scholar 

  46. Yong, S.W., Sung, A.N.: A mobile application of augmented reality for aircraft maintenance of fan cowl door opening. Int. J. Comput. Netw. Inf. Secur. 11(6), 38 (2019)

    Google Scholar 

  47. Divakaran, V.N., Kumar, G.R., Rao, P.S.: Aircraft Landing Gear Design and Development (2015). https://www.infosys.com/engineering-services/white-papers/documents/landing-gear-design-and-development.pdf

  48. Hao, W., Hongfu, Z.: Using genetic annealing simulated annealing algorithm to solve disassembly sequence planning. J. Syst. Eng. Electron. 20(4), 906–912 (2009)

    Google Scholar 

  49. Liu, T., Chen, M., Wang, Y.: Design and research of virtual disassembly system for aircraft landing gear. In: 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017). Atlantis Press (2016)

    Google Scholar 

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Authors and Affiliations

  1. Department of Mathematical and Industrial Engineering, Polytechnique Montreal, Montreal, Quebec, Canada

    Samira Keivanpour

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  1. Samira Keivanpour
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Correspondence to Samira Keivanpour .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Air Force Academy, National Defence University, Istanbul, Turkey

    Serhat Aydın

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Keivanpour, S. (2022). Toward Joint Application of Fuzzy Systems and Augmented Reality in Aircraft Disassembly. In: Kahraman, C., Aydın, S. (eds) Intelligent and Fuzzy Techniques in Aviation 4.0. Studies in Systems, Decision and Control, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-75067-1_11

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