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Plates Pre-dimensioning for Injection Molds by Using Computational Design and Inclusion of the Parts in BIM Methodology

  • Daniel Diaz-Perete
  • Abelardo Torres-Alba
  • Jorge Manuel Mercado-Colmenero
  • Cristina Martin-DoñateEmail author
Conference paper
  • 128 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

This paper presents an algorithm for pre-dimensioning of plates of injection molds based on the measures of the part which will be manufactured. The pre-dimensioning plates are: the cavity plate, the core plate and the support plate. These plates will be pre-dimensioned according to the pressure loads generated in each case, derived from the specific requirements needed for the injection and manufacture of each plastic part. Additionally, the used equations will be introduced into computational design software linking each variable with his relative parameter in order to generalize the process of injection mold designing for simple plastic parts. After calculus process and the pre-dimensioning of the plates the final geometry will be introduced into BIM methodology using specifics BIM software in order to measure the quantities of material required, to collect dimensions and number of parts needed in an automatic way to get other interesting attributes like budget control. The implementation of BIM methodology in injection molds industry to project development gives engineering field many new possibilities of co-working between companies, making easier the communication of their design specialists optimizing the process of creation of new injection molds. This methodology will contribute to save resources improving the quality of the projects final results

Keywords

Injection molding Computer aided manufacturing CAD 

Notes

Acknowledgments

The research work was supported by the University of Jaen with the Plan de Apoyo a la Investigación 2019-2020- ACCION1 PAIUJA2019-20: TIC-159. The authors would like to thank the reviewers for their comments, which greatly improved the exposition.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Engineering Graphics, Design and ProjectsUniversity of JaénJaenSpain

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