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An integrated operation feasibility analysis method for manual assembly and disassembly in restricted space

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Abstract

Assembly and disassembly planning are essential parts of product design, manufacture, maintenance, and recycling, which exist through the full life cycle of products. During planning, operation feasibility must be guaranteed; otherwise, it will lead to infeasible work plan which means the actual operations cannot be completed. Especially for manual assembly and disassembly in restricted space, the operation feasibility should be considered from three respects: visibility, reachability, and geometric feasibility. And the rapid and effective feasibility analysis has extremely vital significance. However, currently the simulation method requires much manual intervention, and the geometric method focuses on assembly tools, ignoring human arm. Besides, the above three respects are always analyzed separately, which reduces the analysis efficiency. To solve these problems, this paper proposes an integrated operation feasibility analysis method, which utilizes a geometric method considering human arm to analyze visibility, reachability, and geometric feasibility together. Firstly, the simplified operation models are built to describe the assembly tool and human arm using less parameters. Secondly, two kinds of global accessibility cone with depth (GACd) are respectively constructed for the feasibility analysis of the assembly tool and the human arm. Thirdly, based on the GACds and simplified operation models, the geometric feasibility is analyzed first, and then the operation feasibility is evaluated by computing the adequacy index, reachability index, and visibility index. Finally, the proposed method is verified and discussed by the examples of simulated electronic cabin and excavator. The results show that this method is reasonable and effective in restricted space.

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References

  1. Ghandi S, Masehian E (2015) Review and taxonomies of assembly and disassembly path planning problems and approaches. Comput Aided Des 67-68:58–86

    Google Scholar 

  2. Bahubalendruni MVAR, Biswal BB, Kumar M, Nayak E (2015) Influence of assembly predicate consideration on optimal assembly sequence generation. Assem Autom 35(4):309–316

    Google Scholar 

  3. Chung C, Peng QJ (2009) Tool selection-embedded optimal assembly planning in a dynamic manufacturing environment. Comput Aided Des 41(7):501–512

    Google Scholar 

  4. Liu XH, Liu YH, Xu BH (2013) A converse method-based approach for assembly sequence planning with assembly tool. Int J Adv Manuf Technol 69(5-8):1359–1371

    Google Scholar 

  5. Peng GL, Yu HQ, Liu XH, He X (2010) A desktop virtual reality-based integrated system for complex product maintainability design and verification. Assem Autom 30(4):333–344

    Google Scholar 

  6. Su Q (2007) Computer aided geometric feasible assembly sequence planning and optimizing. Int J Adv Manuf Technol 33(1–2):48–57

    Google Scholar 

  7. Roberto V, Gilberto OG (2012) Assembly planning with automated retrieval of assembly sequences from CAD model information. Assem Autom 32(4):347–360

    Google Scholar 

  8. Jimenez P (2013) Survey on assembly sequencing: a combinatorial and geometrical perspective. J Intell Manuf 24(2):235–250

    Google Scholar 

  9. Zhang WL, Ma MX, Li HY, Yu JP (2017) Generating interference matrices for automatic assembly sequence planning. Int J Adv Manuf Technol 90(1–4):1187–1201

    Google Scholar 

  10. Qiu SG, Yang YF, Fan XM, HE QC (2014) Human factors automatic evaluation for entire maintenance processes in virtual environment. Assem Autom 34(4):357–369

    Google Scholar 

  11. Qiu SG, Fan XM, Wu DL, He QC, Zhou DJ (2013) Virtual human modeling for interactive assembly and disassembly operation in virtual reality environment. Int J Adv Manuf Technol 69(9–12):2355–2372

    Google Scholar 

  12. Moscheto AD, Cziulik C, Junior SM, Sulevis M (2017) Space claim analysis for addressing maintenance of key components in complex products. Assem Autom 37(1):71–83

    Google Scholar 

  13. Kheder M, Trigui M, Aifaoui N (2017) Optimization of disassembly sequence planning for preventive maintenance. Int J Adv Manuf Technol 90(5–8):1337–1349

    Google Scholar 

  14. Mitrouchev P, Wang CG, Lu LX, Li GQ (2015) Selective disassembly sequence generation based on lowest level disassembly graph method. Int J Adv Manuf Technol 80(1–4):141–159

    Google Scholar 

  15. Soh SL, Ong SK, Nee AYC (2016) Design for assembly and disassembly for remanufacturing. Assem Autom 36(1):12–24

    Google Scholar 

  16. Geng J, Li Y, Wang RR, Wang ZL, Lv C, Zhou D (2017) A virtual maintenance-based approach for satellite assembling and troubleshooting assessment. Acta Astronaut 138:434–453

    Google Scholar 

  17. Kevin CT, Waleed E (2012) An intelligent system based on concurrent engineering for innovative product design at the conceptual design stage. Int J Adv Manuf Technol 63(5–8):421–447

    Google Scholar 

  18. Jimeno A, Puerta A (2007) State of the art of the virtual reality applied to design and manufacturing processes. Int J Adv Manuf Technol 33(9–10):866–874

    Google Scholar 

  19. Cecil J, Jones J (2014) VREM: an advanced virtual environment for micro assembly. Int J Adv Manuf Technol 72(1-4):47–56

    Google Scholar 

  20. Guo ZY, Zhou D, Chen JY, Geng J, Lv C, Zeng SK (2018) Using virtual reality to support the product’s maintainability design: immersive maintainability verification and evaluation system. Comput Ind 101:41–50

    Google Scholar 

  21. Christiand Yoon J (2010) Assembly simulations in virtual environments with optimized haptic path and sequence. Robot Comput Integr Manuf 27(2):306–317

    Google Scholar 

  22. Aleotti J, Caselli S (2011) Physics-based virtual reality for task learning and intelligent disassembly planning. Virtual Reality 15(1):41–54

    Google Scholar 

  23. Chen JT, Mitrouchev P, Coquillart S, Quaine F (2016) Disassembly task evaluation by muscle fatigue estimation in virtual reality environment. Int J Adv Manuf Technol 88:1523–1533

    Google Scholar 

  24. Guo ZY, Zhou D, Liu PY, He ZY, Lv C (2018) A quantitative assessment method for the space design of products based on ergonomics and virtual simulation. PLoS ONE 13(7):1–16

    Google Scholar 

  25. Geng J, Zhou D, Lv C, Wang ZL (2013) A modeling approach for maintenance safety evaluation in a virtual maintenance environment. Comput Aided Des 45(5):937–949

    Google Scholar 

  26. Louison C, Ferlay F, Keller D, Mestre DR (2017) Operators’ accessibility studies for assembly and maintenance scenarios using virtual reality. Fusion Eng Des 124:610–614

    Google Scholar 

  27. Wang QF, Liu SL, Zhao JL, Zheng SJ, Jiao N (2016) The man-machine-environment system evaluation method during the maintenance process based on virtual prototyping. In: Proceedings of the international conference on man-machine-environment system engineering. Xi’an, pp 553–565

  28. Zhou D, Chen JY, Lv C, Cao QY (2016) A method for integrating ergonomics analysis into maintainability design in a virtual environment. Int J Ind Ergonom 54:154–163

    Google Scholar 

  29. Zhou D, Jia X, Lv C, Kang L (2014) Using the swept volume to verify maintenance space in virtual environment. Assembly Autom 34(34):192–203

    Google Scholar 

  30. Kim YJ, Varadhan G, Lin MC, Manocha D (2004) Fast swept volume approximation of complex polyhedral models. Comput Aided Des 36(11):1013–1027

    Google Scholar 

  31. Gao W, Shao XD, Liu HL (2016) Enhancing fidelity of virtual assembly by considering human factors. Int J Adv Manuf Technol 83(5–8):873–886

    Google Scholar 

  32. Puthenveetil SC, Daphalapurkar CP, Zhu WJ, Leu MC, Liu XQ (2015) Computer-automated ergonomic analysis based on motion capture and assembly simulation. Virt Real 19(2):119–128

    Google Scholar 

  33. Geng J, Peng X, Li Y, Wang ZL, Zhou D (2018) A semi-automatic approach to implement rapid non-immersive virtual maintenance simulation. Assembly Autom 38(3):291–302

    Google Scholar 

  34. Pan J, Zhang LJ, Lin MC, Manocha D (2010) A hybrid approach for simulating human motion in constrained environments. Comput Animat Virt W 21(3–4):137–149

    Google Scholar 

  35. Chaffin DB (2010) Human motion simulation for vehicle and workplace design. Hum Factor Ergon Man 17 (5):475–484

    Google Scholar 

  36. Qiu SG, He QC, Fan XM, Wu DL (2014) Virtual human hybrid control in virtual assembly and maintenance simulation. Int J Prod Res 52(3):867–887

    Google Scholar 

  37. Wilson RH (1997) Geometric reasoning about assembly tools. Artif Intell 98(1–2):237–279

    MATH  Google Scholar 

  38. Yin ZP, Ding H, Xiong YL (2000) Visibility theory and algorithms with application to manufacturing processes. Int J Prod Res 38(13):2891–2909

    Google Scholar 

  39. Chung C, Peng QJ (2006) A novel approach to the geometric feasibility analysis for fast assembly tool reasoning. Int J Adv Manuf Technol 31(1–2):125–134

    Google Scholar 

  40. Kang XM, Peng QJ (2008) Tool feasibility analysis for fixture assembly planning. J Manuf Sci Eng 130 (4):1–9

    MathSciNet  Google Scholar 

  41. Yu JP, Wang CE (2013) Method for discriminating geometric feasibility in assembly planning based on extended and turning interference matrix. Int J Adv Manuf Technol 67(5–8):1867–1882

    Google Scholar 

  42. Li JR, Xu YH, Ni JL, Wang QH (2016) Glove-based virtual hand grasping for virtual mechanical assembly. Assem Autom 36(4):349–361

    Google Scholar 

  43. Liu XH, Cui XL, Song GM, Xu BH (2014) Development of a virtual maintenance system with virtual hand. Int J Adv Manuf Technol 70(9-12):2241–2247

    Google Scholar 

  44. ISO 15534-2 (2000) Ergonomic design for the safety of machinery–part 2: principles for determining the dimensions required for access openings

  45. ISO 15534-3 (2000) Ergonomic design for the safety of machinery–part 3: anthropometric data

  46. Limaiem A, ElMaraghy HA (1997) A general method for analyzing the accessibility of features using concentric spherical shells. Int J Adv Manuf Technol 13:101–108

    Google Scholar 

  47. Suthunyatanakit K, Bohez ELJ, Annanon K (2009) A new global accessibility algorithm for a polyhedral model with convex polygonal facets. Comput Aided Des 41(12):1020–1033

    Google Scholar 

  48. Zhu WM, Fan XM, Tian L, He QC (2018) An integrated simulation method for product design based on part semantic model. Int J Adv Manuf Technol 96(9-12):3821–3841

    Google Scholar 

  49. ISO 15534-1 (2000) Ergonomic design for the safety of machinery–part 1: principles for determining the dimensions required for openings for whole-body access into machinery

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Funding

This work was financially supported by the National Natural Science Foundation of China (No. 51475291).

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Correspondence to Xiumin Fan.

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Zhu, W., Fan, X. & He, Q. An integrated operation feasibility analysis method for manual assembly and disassembly in restricted space. Int J Adv Manuf Technol 106, 3721–3740 (2020). https://doi.org/10.1007/s00170-019-04740-9

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  • DOI: https://doi.org/10.1007/s00170-019-04740-9

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