Skip to main content
Log in

Minimization of variation in volumetric shrinkage and deflection on injection molding of Bi-aspheric lens using numerical simulation

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

The profile of a bi-aspheric lens is such a way that the thickness narrows down from center to periphery (convex). Injection molding of these profiles has high shrinkage in localized areas, which results in internal voids or sink marks when the part gets cool down to room temperature. This paper deals with the influence of injection molding process parameters such as mold surface temperature, melt temperature, injection time, V/P Switch over by percentage volume filled, packing pressure, and packing duration on the volumetric shrinkage and deflection. The optimal molding parameters for minimum variation in volumetric shrinkage and deflection of bi-aspheric lens have been determined with the application of computer numerical simulation integrated with optimization. The real experimental work carried out with optimal molding parameters and found to have a shallow and steep surface profile accuracy of 0.14 and 1.57 mm, 21.38-45.66 and 12.28-26.90 μm, 41.56-157.33 and 41.56-157.33 nm towards Radii of curvatures (RoC), surface roughness (Ra) and waviness of the surface profiles (profile error Pt), respectively.

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. X. Chen and F. Gao, A study of packing profile on injection molded part quality, Material Science and Engineering: A, 358 (2003) 205–213.

    Article  Google Scholar 

  2. T. C. Chang and E. Faison, Shrinkage behaviour and optimization of injection molded parts studied by the Taguchi method, Polym. Eng. Sci., 41 (2001) 703–710.

    Article  Google Scholar 

  3. M. Altan, Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods, Mater Design, 31 (2010) 599–604.

    Google Scholar 

  4. G. H. Hu and Z. S Cui, Effect of packing parameters and gate size on shrinkage of aspheric lens parts, J. Snanghai Jiaotong Univ (Sci), 15 (2010) 84–87.

    Article  Google Scholar 

  5. N. Bhagavatula, D. Michalski, B. Lilly and G. Glozer, Modelling and verification of ejection forces in thermoplastic injection molding, Modelling Simul. Mater. Sci. Eng., 12 (2004) 239 -S254.

    Article  Google Scholar 

  6. R. Thomas and N. McCaffery, The prediction of real product shrinkages, calculated from a simulation of the injection molding process, Annual Technical Conf. (1989) 371–375.

    Google Scholar 

  7. K. M. Tsai, Effect of injection molding process parameters on optical properties of lenses, Appl. Opt., 49 (2010) 6149–6159.

    Article  Google Scholar 

  8. T. S. Kwak, T. Suzuki, W. B. Baeb, Y. Uehara and H. Ohmori, Application of neural network and computer simulation to improve surface profile of injection molding optic lens, J. Mater. Process. Technol., 170 (2005) 24–31.

    Article  Google Scholar 

  9. H. E. Lai and P. J. Wang, Study of process parameters on optical qualities for injection-moulded plastic lenses, Appl. Opt., 47 (2008) 2017–2027.

    Article  Google Scholar 

  10. X. Lu and L. S. Khim, A statistical experimental study of the injection moulding of optical lenses, J. Mater. Process. Technol., 113 (2001) 189–195.

    Article  Google Scholar 

  11. A. M. C. Aghanajafi and A. M. C. Ghazvin, Thermal analysis of HVAC and solar panels using genetic optimization algorithm, J. of Mechanical Science and Technology, 30 (3) (2016) 1405–1412.

    Article  Google Scholar 

  12. J. Beaumont, Shear induces flow imbalance and melt flipper in Autodesk Moldflow injection molding simulation, Autodesk University (2011).

    Google Scholar 

  13. R. Harold, Analysis of variance in experimental design, New York, USA. Springer (1992).

    MATH  Google Scholar 

  14. D. C. Montgomery, Design and analysis of experiments, Fifth Ed., New York: Wiley (2001) 65–72.

    Google Scholar 

  15. S. W. Kim and L. S. Turng, Developments of threedimensional computer-aided engineering simulation for injection moulding, Modelling Simul. Mater. Sci. Eng., 12 (2004) 151–173.

    Article  Google Scholar 

  16. G. Taguchi and S. Konishi, Taguchi method, orthogonal arrays and linear graphs: Tools for quality engineering, American Supplier Institute (1987) 35–58.

    Google Scholar 

  17. G. Venkateshwarlu, M. J. Davidson and G. R. N. Tagore, Influence of process parameters on the cup drawing of aluminium 7075 sheet, Int. J. of Engg., Sci and Tech., 2 (11) (2010) 41–49.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Joseph Bensingh.

Additional information

Recommended by Associate Editor Dae-Cheol Ko

R. Joseph Bensingh is working as a Scientist in ARSTPS, Chennai an R & D wing of CIPET, India. He is pursuing a Ph.D. at Anna University, Chennai. Currently, he is working in design and optimization of plastic products and process development.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bensingh, R.J., Boopathy, S.R. & Jebaraj, C. Minimization of variation in volumetric shrinkage and deflection on injection molding of Bi-aspheric lens using numerical simulation. J Mech Sci Technol 30, 5143–5152 (2016). https://doi.org/10.1007/s12206-016-1032-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-016-1032-6

Keywords

Navigation