Skip to main content
Log in

An automated design system for compound washer dies

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

Abstract

The designing of stamping dies is a complex process influenced by numerous design parameters, which can be classified into independent and dependent parameters. Before starting the design process a designer must identify, analyze, and calculate these parameters needing a wide range of knowledge. The design task is then accomplished on the basis of these parameter values that must be incorporated into the die design’s elements, in order to achieve workable and quality designs. Since most of the 3D CADs provide insufficient help in this regard, an automated system has been developed in CATIA V5 for the automatic designing of compound dies intended for production of various washer configurations. This system operates on the basis of an integrated design knowledge embedded inside washer, strip, and die-parts’ generative models using user parameters and a programmatically established relations between them. The use of this system significantly shortens the design time, and denotes design quality.

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

Similar content being viewed by others

References

  1. Altan T (1987) Design and manufacturing of dies and molds. Ann CIRP 36(2):455–462

    Article  Google Scholar 

  2. Boljanovic V (2004) Sheet metal forming processes and die design. Industrial Press Inc, New York

    Google Scholar 

  3. Cheok BT, Nee AYC (1998) Trends and developments in the automation of design and manufacture of dies for metal stampings. J Mater Process Technol 75:240–252

    Article  Google Scholar 

  4. Cuckovic S, Devedzic G, Ghionea I (2010) Automatic determination of grinding tool profile for helical surfaces machining using catia/vb interface. U.P.B Sci Bull Ser D 72:1454–2358

    Google Scholar 

  5. Fallbohmer P, Altan T, Tonshoff H-K, Nakagawa T (1996) Survey of the die and mold manufacturing industry. J Mater Process Technol 59:158–168

    Article  Google Scholar 

  6. Groover MP (2010) Modern manufacturing materials, processes, and systems. Wiley, Hoboken

    Google Scholar 

  7. Jiang RD, Lauw BT, Nee AYC (2006) Insert design automation for progressive dies. Intern J Adv Manuf Technol 28:279–285

    Article  Google Scholar 

  8. Kumar S, Singh R, Sekhon GS (2006) CCKBS: a component check knowledge-based system for assessing manufacturability of sheet metal parts. J Mater Process Technol 172:64–69

    Article  Google Scholar 

  9. Lin BT, Chan CK, Wang JC (2008) A knowledge-based parametric design system for drawing dies. Intern J Adv Manuf Technol 36:671–680

    Article  Google Scholar 

  10. Lin BT, Hsu SH (2008) Automated design system for drawing die. Expert Syst Appl 34:1586–1598

    Article  Google Scholar 

  11. Paquin JR, Crowley RE (1986) Die design fundamentals. Industrial Press, New York

    Google Scholar 

  12. Potocnik D, Ulbin M, Dolsak B (2012) Knowledge-based system for supporting the design of a plate-press. J Comput Inf Sci Eng 12:024502

    Article  Google Scholar 

  13. Potocnik D, Pesan B, Balic J, Ulbin M (2011) Intelligent system for the automatic calculation of stamping parameters. Adv Prod Eng Manag 6:129–137

    Google Scholar 

  14. Salin F, Burry J (2010) Software openness: evaluating parameters of parametric modeling tools to support creativity and multidisciplinary design integration, Lecture Notes in Computer Science. Springer Berlin/Heidelber, pp 483–497. doi:10.1007/978-3-642-12179-1_40

  15. Saridakis KM, Dentsoras AJ (2005) Evolutionary neuro-fuzzy modeling in parametric design. Intelligent Production Machines and Systems, Sydney, pp 315–320

  16. Singh R, Sekhon GS (1999) An expert system for optional selection of a press for a sheet metal operation. J Mater Process Technol 86:131–138

    Article  Google Scholar 

  17. Skarka W (2006) Knowledge acquisition for generative model construction. In: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering, pp 263–270

  18. Soman A, Campbell M (2002) A grammar-based approach to sheet metal design, in DETC-02. ASME Design Engg. Tech. Conference Proceedings, Montreal, pp 485–493

  19. Tang D-B, Zheng L, Li Z-Z (2001) An intelligent feature-based design for stamping system. Intern J Adv Manuf Technol 18:193–200

    Article  Google Scholar 

  20. Tor SB, Britton GA, Zhang WY (2004) A knowledge-based blackboard framework for stamping process planning in progressive die design. Intern J Adv Manuf Technol 26:774–783

    Article  Google Scholar 

  21. http://www.fibro.com/folgeseite.asp?area=hauptmenue&site=normalien&cls=02. Accessed 23 July 2011

Download references

Acknowledgments

The operation part was financed by the European Union, European Social Fund. The operation was implemented in the framework of the Operational Programme for Human Resources Development for the Period 2007–2013, Priority axis 1: Promoting entrepreneurship and adaptability, Main type of activity 1.1.: experts and researchers for competitive enterprises.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Potočnik.

Additional information

Technical Editor: Fernando Forcellini.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Potočnik, D., Dolšak, B. & Ulbin, M. An automated design system for compound washer dies. J Braz. Soc. Mech. Sci. Eng. 35, 293–304 (2013). https://doi.org/10.1007/s40430-013-0027-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40430-013-0027-9

Keywords

Navigation