Skip to main content
Log in

Numerical and experimental investigation on process parameters optimization in plastic injection molding for weldlines reduction and clamping force minimization

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

Abstract

Weldlines are one of the major defects in plastic injection molding (PIM). The weldlines have an influence on not only the appearance of product but also the strength, so it is important to reduce the weldlines as much as possible. The melt plastic will be quickly solidified with the low weldline temperature that makes the weldlines long. On the other hand, clamping force also affects the product quality, but the relationship between the weldlines and the clamping force is rarely discussed in the literature. In this paper, the minimum weldline temperature is maximized for the weldlines reduction, whereas the clamping force is minimized for the high product quality. Therefore, a multi-objective design optimization of the process parameters is performed and the pareto-frontier between them is identified. Numerical simulation in PIM is generally so intensive that a sequential approximate optimization using a radial basis function network is used to identify the pareto-frontier. 3D cooling channel is used for the design optimization. Through the numerical simulation, the trade-off between the minimum weldline temperature and the clamping force is clarified. In addition, it is found that the 3D cooling channel is effective for the weldlines reduction and clamping force minimization, compared with the straight-type cooling channel. Finally, to examine the validity of the proposed approach, the experiment using the PIM machine (GL30-LP, Sodick) is carried out. It is found through the experimental result that the weldlines are reduced by the proposed approach.

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. Chang RY, Yang WH (2001) Numerical simulation of mold filling in injection molding using a three-dimensional finite volume approach. Int J Numer Methods Fluids 37:125–148

    Article  MATH  Google Scholar 

  2. Bikas A, Pantelelis N, Kanarachos A (2002) Computational tools for the optimal design of the injection moulding process. J Mater Process Technol 122:112–126

    Article  Google Scholar 

  3. Lam YC, Britton GA, Deng YM (2003) A computer-aided system for an optimal moulding conditions design using a simulation-based approach. Int J Adv Manuf Technol 22:574–586

    Article  Google Scholar 

  4. Dang XP (2014) General frameworks for optimization of plastic injection molding process parameters. Simul Model Pract Theory 41:15–27

    Article  Google Scholar 

  5. Kurtaran H, Ozcelik B, Erzurumlu T (2005) Warpage optimization of a bus ceiling lamp base using neural network and genetic algorithm. J Mater Process Technol 169:314–319

    Article  Google Scholar 

  6. Kurtaran H, Erzurumlu T (2006) Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm. Int J Adv Manuf Technol 27:468–472

    Article  Google Scholar 

  7. Shen C, Wang L, Cao W (2007) Optimization for injection molding process conditions of the refrigerator top cover using combination method of artificial neural network and genetic algorithms. Polym-Plast Technol Eng 46:105–112

    Article  Google Scholar 

  8. Chiang KT, Chang FP (2007) Analysis of shrinkage and warpage in an injection-molded part with a thin shell feature using the response surface methodology. Int J Adv Manuf Technol 35:468–479

    Article  Google Scholar 

  9. Gao Y, Wang X (2008) An effective warpage optimization method in injection molding based on the Kriging model. Int J Adv Manuf Technol 37:953–960

    Article  Google Scholar 

  10. Gao Y, Wang X (2009) Surrogate-based process optimization for reducing warpage in injection molding. J Mater Process Technol 209:1302–1309

    Article  Google Scholar 

  11. Zhang Y, Deng YM, Sun BS (2009) Injection molding warpage optimization based on a mode-pursuing sampling method. Polym Plast Technol Eng 48:767–774

    Article  Google Scholar 

  12. Deng YM, Zhang Y, Lam YC (2011) A hybrid of mode-pursuing sampling method and genetic algorithm for minimization of injection molding warpage. Mater Des 31:2118–2123

    Article  Google Scholar 

  13. Li C, Wang FL, Chang YQ, Liu Y (2010) A modified global optimization method based on surrogate model and its application in packing profile optimization of injection molding process. Int J Adv Manuf Technol 48:505–511

    Article  Google Scholar 

  14. Shi H, Gao Y, Wang X (2010) Optimization of injection molding process parameters using integrated artificial neural network model and expected improvement function method. Int J Adv Manuf Technol 48:955–962

    Article  Google Scholar 

  15. Xia W, Luo B, Liao XP (2011) An enhanced optimization approach based on Gaussian process surrogate model for process control in injection molding. Int J Adv Manuf Technol 56:929–942

    Article  Google Scholar 

  16. Cheng J, Liu Z, Tan J (2013) Multiobjective optimization of injection molding parameters based on soft computing and variable complexity method. Int J Adv Manuf Technol 66:907–916

    Article  Google Scholar 

  17. Shi H, Xie S, Wang X (2013) A warpage optimization method for injection molding using artificial neural network with parametric sampling evaluation strategy. Int J Adv Manuf Technol 65:343–353

    Article  Google Scholar 

  18. Kitayama S, Onuki R, Yamazaki K (2014) Warpage reduction with variable pressure profile in plastic injection molding via sequential approximate optimization. Int J Adv Manuf Technol 72:827–838

    Article  Google Scholar 

  19. Zhao J, Cheng G, Ruan S, Li Z (2015) Multi-objective optimization design of injection molding process parameters based on the improved efficient global optimization algorithm and non-dominated sorting-based genetic algorithm. Int J Adv Manuf Technol 78:1813–1826

    Article  Google Scholar 

  20. Xu, G., Yang, Z., (2015), Multiobjective optimization of process parameters for plastic injection molding via soft computing and grey correlation analysis, Int J Adv Manuf Technol, 78: 525–536.

  21. Chen WC, Nguyen MN, Chiu WH, Chen TN, Tai PH (2016) Optimization of the plastic injection molding process using the Taguchi method, RSM, and hybrid GA-PSO. Int J Adv Manuf Technol 83:1873–1886

    Article  Google Scholar 

  22. Li H, Guo Z, Li D (2007) Reducing the effects of weldlines on appearance of plastic products by Taguchi experimental method. Int J Adv Manuf Technol 32:927–931

    Article  Google Scholar 

  23. Chen MY, Tzeng HW, Chen YC, Chen SC (2008) The application of fuzzy theory for the control of weld line positions in injection-molded part. ISA Trans 47:119–126

    Article  Google Scholar 

  24. Wu CY, Ku CC, Pai HY (2011) Injection molding optimization with weld line design constraint using distributed multi-population genetic algorithm. Int J Adv Manuf Technol 52:131–141

    Article  Google Scholar 

  25. Deng YM, Zheng D, Lu XJ (2008) Injection moulding optimization of multi-class design variables using a PSO algorithm. Int J Adv Manuf Technol 39:690–698

    Article  Google Scholar 

  26. Kim KH, Park JC, Suh YS, Koo BH (2017) Interactive robust optimal design of plastic injection products with minimum weldlines. Int J Adv Manuf Technol 88:1333–1344

    Article  Google Scholar 

  27. Yin F, Mao H, Hua L (2011) A hybrid of back propagation neural network and genetic algorithm for optimization of injection molding process parameters. Mater Des 32:3457–3464

    Article  Google Scholar 

  28. Zhai M, Xie Y (2010) A study of gate location optimization of plastic injection molding using sequential liner programming. Int J Adv Manuf Technol 49:97–103

    Article  Google Scholar 

  29. Kitayama S, Natsume S (2014) Multi-objective optimization of volume shrinkage and clamping force for plastic injection molding via sequential approximate optimization. Simul Model Pract Theory 48:35–44

    Article  Google Scholar 

  30. Zhang J, Wang J, Lin J, Guo Q, Chen K, Ma L (2016) Multiobjective optimization of injection molding process parameters based on Opt LHD, EBFNN, and MOPSP. Int J Adv Manuf Technol 85:2857–2872

    Article  Google Scholar 

  31. Sachs E, Wylonis E, Allen S, Cima M, Guo H (2000) Production of injection molding tooling with conformal cooling channels using the three dimensional printing process. Polym Eng Sci 40(5):1232–1247

    Article  Google Scholar 

  32. Xu, X., Sachs, E., Allen, S., (2001), The design of conformal cooling channels in injection molding tooling, Polym Eng Sci, 41(7): 1265–1279

  33. Ferreira JC, Mateus A (2003) Studies of rapid soft tooling with conformal cooling channels for plastic injection moulding. J Mater Process Technol 142:508–516

    Article  Google Scholar 

  34. Dimla DE, Camilotto M, Miani F (2005) Design and optimisation of conformal cooling channels in injection moulding tools. J Mater Process Technol 164-165:1294–1300

    Article  Google Scholar 

  35. Au KM, Yu KM (2007) A scaffolding architecture for conformal cooling design in rapid plastic injection moulding. Int J Adv Manuf Technol 34:496–515

    Article  Google Scholar 

  36. Kitayama S, Miyakawa H, Takano M, Aiba S (2017) Multi-objective optimization of injection molding process parameters for short cycle time and warpage reduction using conformal cooling channel. Int J Adv Manuf Technol 88:1735–1744

    Article  Google Scholar 

  37. Kitayama S, Arakawa M, Yamazaki K (2011) Sequential approximate optimization using radial basis function network for engineering optimization. Optim Eng 12:535–557

    Article  MATH  Google Scholar 

  38. Shayfull Z, Sharif S, Zain AM, Ghazali MF, Saad RM (2014) Potential of conformal cooling channels in rapid head cycle molding: a review. Adv Polym Technol 33. https://doi.org/10.1002/adv.21381.

  39. Zhou M, Alexandersen J, Sigmund O, Pedersen CB (2016) Industrial application of topology optimization for combined conductive and convective heat transfer problems. Struct Multidiscip Optim 54:1045–1060

    Article  Google Scholar 

  40. Coffin P, Maute K (2016) Level set topology optimization of cooling and heating devices using a simplified convection model. Struct Multidiscip Optim 53:985–1003

    Article  Google Scholar 

  41. Lohan DJ, Dede EM, Allison JT Topology optimization for heat conduction using generative design algorithms. Struct Multidiscip Optim. https://doi.org/10.1007/s0158-016-1563-6

  42. Deb, K.(2001) Multi-objective optimization using evolutionary algorithms, Wiley .

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Satoshi Kitayama.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kitayama, S., Tamada, K., Takano, M. et al. Numerical and experimental investigation on process parameters optimization in plastic injection molding for weldlines reduction and clamping force minimization. Int J Adv Manuf Technol 97, 2087–2098 (2018). https://doi.org/10.1007/s00170-018-2021-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-2021-y

Keywords

Navigation