Skip to main content
Log in

Algorithm for automatic boss feature recognition and ejector sleeve design

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

Abstract

When having boss features in the mold core, the plastic products cannot be smoothly removed from the mold core. Through ejector sleeve design, during the ejection process, the ejector sleeve can eject products to successfully leave the mold core. Under the framework of CAD software, this study developed the boss feature recognition, integrated the mold design, and automated ejector sleeve production. Based on the geometric relationship of the surfaces, edges of the core’s boss, this study summarized an algorithm to automatically recognize the boss feature by programming an algorithm. Through computer programming calculation and judgment, the proposed method can automatically recognize boss features to reduce the labeling time at the recognition stage and record the diameters of the center pin and sleeve in feature parameters. At the mold design stage, through the acquisition of its parameters, it can automatically produce a suitable ejector sleeve. Through standardized design process, it can reduce 97% of mouse clicks and design time to guide users to quickly complete the design, while reducing design errors to improve working efficiency by the automatic integration function.

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.

Similar content being viewed by others

References

  1. Ye XG, Fu YH, Lee XS (2000) Automated assembly modeling for plastic injection moulds. Int J Adv Manuf Technol 16:739–747

    Article  Google Scholar 

  2. Mok CK, Chin KS, Ho KL (2001) An interactive knowledge-based CAD system for mould design in injection moulding processes. Int J Adv Manuf Technol 17:27–38

    Article  Google Scholar 

  3. Low MLH, Lee KS (2003) A parametric-controlled cavity layout design system for a plastic injection mould. Int J Adv Manuf Technol 21:807–819

    Article  Google Scholar 

  4. Neo TL, Lee KS (2001) Three-dimensional kernel development for injection mould design. Int J Adv Manuf Technol 17:453–461

    Article  Google Scholar 

  5. Ma YS, Tor SB, Britton GA (2003) The development of a standard component library for plastic injection for plastic injection mould design using an object-oriented approach. Int J Adv Manuf Technol 22:611–618

    Article  Google Scholar 

  6. Kumar V, Madan J, Gupta P (2013) A system for design of multicavity die casting dies from part product model. Int J Adv Manuf Technol 67:2083–2107

    Article  Google Scholar 

  7. Penoyer JA, Burnett G, Fawcett DJ (2000) Knowledge based product life cycle system:principles of integration of KBE and C3P. Comput Aided Des 32:311–320. https://doi.org/10.1016/S0010-4485(00)00014-2.

    Article  Google Scholar 

  8. Jong WR, Wu CH, Liu HH, Li MY (2009) A collaborative navigation system for concurrent mold design. Int J Adv Manuf Technol 40:215–225. https://doi.org/10.1007/s00170-007-1328-x

    Article  Google Scholar 

  9. Jong WR, Ting YH, Li TC (2014) Application of knowledge-based engineering for automated slide design. Int J Adv Manuf Technol 74:637–651. https://doi.org/10.1007/s00170-014-5978-1

    Article  Google Scholar 

  10. Kulon J, Broomhead P, Mynors DJ (2006) Applying knowledge-based engineering to traditional manufacturing design. Int J Adv Manuf Technol 30:945–951. https://doi.org/10.1007/s00170-005-0067-0.

    Article  Google Scholar 

  11. Zheng J, Wang Y, Li Z (2007) KBE-based stamping process paths generated for automobile panels. Int J Adv Manuf Technol 31:663–672. https://doi.org/10.1007/s00170-005-0239-y.

    Article  Google Scholar 

  12. Chan I, Pinfold M, Kwong C, Szeto W (2011) A review of research, commercial software packages and patents on family mould layout design automation and optimization. Int J Adv Manuf Technol 57:23–47

    Article  Google Scholar 

  13. Menges G, Michaeli W, Mohren P (2001) How to make injection molds, 3rd edn. Hanser Publishers, Munich

    Book  Google Scholar 

  14. Malloy R, Majeski P (1989) Design of pin ejector systems for injection molds. In 47th Annual Technical Conference of SPE (ANTEC’89), pp. 1231–1235

  15. Wang Z, Lee KS, Fuh JYH, Li Z, Zhang YF, Nee AYC, Yang DCH (1996) Optimum ejector system design for plastic injection molds. Int J Comput Appl Technol 9(4):211–218

    Google Scholar 

  16. Kwak S, Kim T, Park S, Lee K (2003) Layout and sizing of ejector pins for injection mould design using the wavelet transform. Proc Inst Mech Eng 217(B):463–473

    Article  Google Scholar 

  17. Wang Z, Lee KS, Fuh JYH, Li Z, Zhang YF, Nee AYC, Yang DCH (1996) Optimum ejector system design for plastic injection mould. Int J Mater Prod Technol 11(5/6):371–385

    Article  Google Scholar 

  18. Mercado-Colmenero JM, Rubio-Paramio MA, Vizan-Idoipe A, Martin-Doate C (2017) A new procedure for the automated design of ejection systems in injection molds. Robot Comput Integr Manuf 46(C):68–85

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jing Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, J., Zhou, L. Algorithm for automatic boss feature recognition and ejector sleeve design. Int J Adv Manuf Technol 97, 583–597 (2018). https://doi.org/10.1007/s00170-018-1918-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-1918-9

Keywords

Navigation