Skip to main content
Log in

A model for achieving reconfiguration in a smart assembly work-cell

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The reconfigurable assembly system is a type of a smart assembly system that can survive the challenges of personalised customisation of product design in the manufacturing sector. Reconfigurable assembly fixtures (RAFs) have been identified as enabling equipment in assembly work cells of reconfigurable assembly systems. RAFs can rapidly adapt to different dimensions of product sizes in the same part family. In this article, a reconfiguration model (RM) for achieving rapid positioning and immobilisation of press brake models is developed for a reconfigurable assembly fixture used for assembling press brakes. The model sets the reconfiguration limits of the RAF based on fixture workspace synthesis and physical dimensions of the press bake. It converts the physical dimensions of the press brake into travel length of locators and computes the operating parameters of the RAF. It also attempts to integrate the operation of the RAF with the assembly procedure in the system. The reconfiguration model is validated using different dimensions of press brake models. The reconfiguration model yielded results for operating parameters of the RAF, which are presented graphically and discussed extensively in order to compare the response of the model to the expected behaviour of the RAF. Comparing the responses of the RM to different press brake models shows different values for the operating parameters of the RAF which is valid. Also, the article established and supports the fact that the operations of a RAF are incomplete without a RM. The originality of the article lies in the development of customised mathematical models for the RM that is meant for the RAF and its validation using different press brake models as the product to be assembled.

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
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23

Similar content being viewed by others

References

  1. ElMaraghy H, ElMaraghy W (2016) Smart adaptable assembly systems. Procedia CIRP 44:4–13

    Article  Google Scholar 

  2. Manzini M, Unglert J, Gyulai D, Colledani M, Jauregui-Becker JM, Monostori L, Urgo M (2018) An integrated framework for design, management and operation of reconfigurable assembly systems. Omega 78:69–84

    Article  Google Scholar 

  3. Salmi A, David P, Blanco E, Summers JD (2015) Assembly modelling and time estimating during the early phase of assembly systems design. IFAC-PapersOnLine 48(3):81–87

    Article  Google Scholar 

  4. Harari NS, Fundin A, Carlsson A-L (2018) Components of the design process of flexible and reconfigurable assembly systems. Procedia Manufacturing 25:549–556

    Article  Google Scholar 

  5. Hu SJ, Ko J, Weyand L, ElMaraghy H, Lien T, Koren Y, Bley H, Chryssolouris G, Nasr N, Shpitalni M (2011) Assembly system design and operations for product variety. CIRP Ann 60(2):715–733

    Article  Google Scholar 

  6. Yang S, Wang H, Hu S, Lin Y-t (2013) Modeling assembly systems with repetitive operations. CIRP Ann 62(1):5–8

    Article  Google Scholar 

  7. Cohen Y, Faccio M, Galizia FG, Mora C, Pilati F (2017) Assembly system configuration through Industry 4.0 principles: the expected change in the actual paradigms. IFAC-PapersOnLine. 50(1):14958–14963

    Article  Google Scholar 

  8. Olabanji O, Mpofu K, Battaïa O (2016) Design, simulation and experimental investigation of a novel reconfigurable assembly fixture for press brakes. Int J Adv Manuf Technol 82(1-4):663–679

    Article  Google Scholar 

  9. Olabanji OM (2015) Development of a reconfigurable assembly system for the assembly of press brakes. 2015, URL: https://books.google.com.ng/books?id=5VNDAQAACAAJ: A doctoral Thesis in the Department of industrial Engineering, Tshwane University of Technology, Pretoria West, South Africa.

  10. Padayachee J, Bright G (2013) The design of reconfigurable assembly stations for high variety and mass customisation manufacturing. South African J Ind Eng 24(3):43–57

    Google Scholar 

  11. Liu C, Li W, Lian J, Yin Y (2012) Reconfiguration of assembly systems: from conveyor assembly line to serus. J Manuf Syst 31(3):312–325

    Article  Google Scholar 

  12. Gyulai D, Vén Z, Pfeiffer A, Váncza J, Monostori L (2012) Matching demand and system structure in reconfigurable assembly systems. Procedia CIRP 3:579–584

    Article  Google Scholar 

  13. Yi G, Wang Y, Zhao X (2018) Evaluation and optimization of the design schemes of reconfigurable machine tools based on multiple-attribute decision-making. Adv in Mech Eng 10(12):1687814018813054

    Article  Google Scholar 

  14. Bem M, Deniša M, Gašpar T, Jereb J, Bevec R, Kovač I, and Ude A (2017) Reconfigurable fixture evaluation for use in automotive light assembly, in 2017 18th International Conference on Advanced Robotics (ICAR), IEEE. p. 61-67.

  15. Olabanji OM and Mpofu K (2014) Comparison of weighted decision matrix, and analytical hierarchy process for CAD design of reconfigurable assembly fixture, in Procedia CIRP. p. 264-269.

  16. Kern W, Rusitschka F, Bauernhansl T (2016) Planning of workstations in a modular automotive assembly system. Procedia CIRP 57:327–332

    Article  Google Scholar 

  17. Eguia I, Lozano S, Racero J, Guerrero F (2013) Cell design and loading with alternative routing in cellular reconfigurable manufacturing systems. IFAC Proceedings 46(9):1744–1749

    Article  Google Scholar 

  18. Bortolini M, Ferrari E, Gamberi M, Pilati F, Faccio M (2017) Assembly system design in the Industry 4.0 era: a general framework. IFAC-PapersOnLine. 50(1):5700–5705

    Article  Google Scholar 

  19. Colledani M, Yemane A, Lugaresi G, Frigerio N, Borzi G, Bassi A, Callegaro D (2018) A decision support methodology for the design of reconfigurable assembly systems. IFAC-PapersOnLine. 51(11):108–115

    Article  Google Scholar 

  20. Bikas C, Argyrou A, Pintzos G, Giannoulis C, Sipsas K, Papakostas N, Chryssolouris G (2016) An automated assembly process planning system. Procedia CIRP 44:222–227

    Article  Google Scholar 

  21. Gyulai D, Kádár B, Monostori L (2017) Scheduling and operator control in reconfigurable assembly systems. Procedia CIRP 63:459–464

    Article  Google Scholar 

  22. Scholz-Reiter B, Freitag M (2007) Autonomous processes in assembly systems. CIRP Ann 56(2):712–729

    Article  Google Scholar 

  23. Jovane F, Koren Y, Boer C (2003) Present and future of flexible automation: towards new paradigms. ANNALS-CIRP. 52(2):543–560

    Article  Google Scholar 

  24. Kong Z, Ceglarek D (2003) Rapid deployment of reconfigurable assembly fixtures using workspace synthesis and visibility analysis. CIRP Ann 52(1):13–16

    Article  Google Scholar 

  25. Kong Z, Ceglarek D (2006) Fixture workspace synthesis for reconfigurable assembly using procrustes-based pairwise configuration optimization. J Manuf Syst 25(1):25–38

    Article  Google Scholar 

  26. Schuh G, Gartzen T, Wagner J (2015) Complexity-oriented ramp-up of assembly systems. CIRP J Manuf Sci Tech 10:1–15

    Article  Google Scholar 

  27. Benkamoun N, Huyet A.-L, and Kouiss K (2013) Reconfigurable assembly system configuration design approaches for product change, in Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM), IEEE. p. 1-8.

  28. Gaspar T, Ridge B, Bevec R, Bem M, Kovač I, Ude A, and Gosar Ž (2017) Rapid hardware and software reconfiguration in a robotic workcell. in 2017 18th International Conference on Advanced Robotics (ICAR). IEEE.

  29. Yu H, Li B, Wang Y, Hu Y (2012) Conceptual design and workspace analysis of reconfigurable fixturing robots for sheet metal assembly. Assem Autom 32(3):293–299

    Article  Google Scholar 

  30. Sela M, Gaudry O, Dombre E, Benhabib B (1997) A reconfigurable modular fixturing system for thin-walled flexible objects. Int J Adv Manuf Technol 13(9):611–617

    Article  Google Scholar 

  31. Yu K, Wang S, Wang Y, Yang Z (2018) A flexible fixture design method research for similar automotive body parts of different automobiles. Adv in Mech Eng 10(2):1–8

    Google Scholar 

  32. Olabanji OM and Mpofu K, Assembly fixture, in patent journal volume 48, No 11., T.U.o. Technology, Editor. 2015: South Africa. p. 1-9.

  33. Jonsson M, Ossbahr G (2010) Aspects of reconfigurable and flexible fixtures. Prod Eng 4(4):333–339

    Article  Google Scholar 

  34. Hussmann H, Meixner G, and Zuehlke D (2011) Model-driven development of advanced user interfaces. 340:2011: Springer; ISBN 978-3-642-14561-2; Pg. 43-143.

  35. Kumar VV, Yadav SR, Liou FW, Balakrishnan S (2013) A digital interface for the part designers and the fixture designers for a reconfigurable assembly system. Math Probl Eng 2013:1–13

    Google Scholar 

  36. Fitzgerald J and Larsen PG (2009) Modelling systems: practical tools and techniques in software development. 2009: Cambridge University Press. ISBN 978-0-521-89911-6: 287:Pg; 1-48.

  37. Ahmad Zeshan LS, Zoppi Matteo, Molfino Rezia (2013) Conceptual design of flexible and reconfigurable gripper for automotive subassemblies. in Proceedings of the World Academy of Science, Engineering and Technology. World Acedemy of Science, Engineering and Technology (WASET). Pg. 206-211.

  38. Benyon D, Green T, and Bental D (1999) Conceptual modelling for user interface development (practitioner series). 1999, Midland Company, Loughbrough Springer-Vedag London Limited. ISBN-13: 978-1-4471-0797: Pg. 1-60.

  39. Wallack AS, Canny JF (1997) Planning for modular and hybrid fixtures. Algorithmica. 19(1-2):40–60

    Article  MathSciNet  Google Scholar 

  40. Ertelt C, Gmeiner T, and Shea K (2009) A flexible fixture and reconfiguration process for the cognitive machine shop. in Proceedings of the 3rd International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2009).

  41. Chakraborty D, Edward C, Szuba PS (2001) Part location algorithms for an Intelligent Fixturing System Part 2: algorithm testing and evaluation. J Manuf Syst 20(2):135–148

    Article  Google Scholar 

Download references

Funding

The author(s) disclosed receipt of the following financial support for the research: Technology Innovation Agency (TIA) South Africa, Gibela Rail Transport Consortium (GRTC), National Research Foundation (NRF), South Africa and the Tshwane University of Technology (TUT), Pretoria West South Africa.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olayinka Mohammed Olabanji.

Ethics declarations

Conflict of interest

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The results and the conclusions presented in this article are those of the authors’ opinion and should not necessarily be attributed to the funding organisations.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Olabanji, O.M., Mpofu, K. A model for achieving reconfiguration in a smart assembly work-cell. Int J Adv Manuf Technol 109, 2777–2793 (2020). https://doi.org/10.1007/s00170-020-05748-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-05748-2

Keywords

Navigation