Optimal injection casting parameters selection with the moldflow software


Аuthors

Larionov I. S.1*, Balkaev D. A.2**, Amirova L. M.1***

1. Institute of Aviation, Land Transport and Energy, KNRTU-KAI, 10, K. Marx str., Kazan, 420111, Russia
2. Kazan Federal University, 35, Kremlevskaya str., Kazan, 420008, Russia

*e-mail: larionov_igor1999@mail.ru
**e-mail: dinar.balkaev@yandex.ru
***e-mail: amirovaliliyam@mail.ru

Abstract

The presented article deals with polymer melt flow while injection casting studying, and quality improving of the part being casted by searching for optimal casting parameters. The high cost of equipment and casting tooling assigns a high threshold for polymer products input into production increasing the price of every error at the development phase. Which is why optimal casting parameters selection for each individual product is one of the crucial problems and tasks of the injection casting method. The problem is being partly solved by computer analysis methods application. The presented work employs the Moldflow software, on which basis studying of tendencies while casting parameters changing by evaluation of the residual stresses, deformation, shearing stress in the melt etc. Melt ejection temperature, casting mould temperature, the time of mould filling, pressure and packing time were selected as the parameters under consideration. A «Quadrocopter сover» part, being manufactured by the injection casting was developed for the analysis. By the result of this study, four sets of parameters were compiled with account the obtained regularities, from which the best one was selected. Thus, the authors managed to achieve the residual stresses reduction, preserving herewith the high quality of the polymer and retaining technological process parameters within the acceptable rate.

Keywords:

Injection molding, polymer, Moldflow software, casting parameters, casting modelling

References

  1. Spalding M.A., Chatterjee A. Handbook of industrial polyethylene and technology: Definitive guide to manufacturing, properties, processing, applications and markets set. John Wiley & Sons, 2017. 1410 p. DOI:10.1002/ 9781119159797

  2. Van Krevelen D.W., Te Nijenhuis K. Properties of polymers: their correlation with chemical structure; their numerical estimation and prediction from additive group contributions. Elsevier, 2009. 1032 p.

  3. Dangayach G., Guglani L. Application of Moldflow and Taguchi technique in improving the productivity of injection moulded energy meter base // International Journal of Process Management and Benchmarking, 2015, vol. 5, no. 3, pp. 375‒385. DOI:10.1504/IJPMB.2015. 070820

  4. Yanyan Ch., P’ye P.M., Malysheva G.V. Opredelenie kinetiki otverzhdeniya detaley iz polimernykh kompozitsionnykh materialov na osnove epoksidnykh svyazuyushchikh [Determination of the kinetics of curing of parts made of polymer composite materials based on epoxy binders] // Teplovye protsessy v tekhnike ‒ Thermal processes in engineering, 2020, vol. 12, no. 4, pp. 185‒191. DOI: 10.34759/tpt-2020-12-4-185-191. In Russ.

  5. Bryce D. Plastic injection molding: manufacturing process fundamentals. M.: Society of Manufacturing Engineers, 1996. 282 p. In Russ.

  6. Seow L., Lam Y. Optimizing flow in plastic injection molding // Journal of materials processing technology, 1997, vol. 72, no. 3, pp. 333‒341. https://doi.org/10.1016/ S0924-0136(97)00188-X

  7. Rahim S.Z.A., Sharif S., Zain A.M., Nasir S., Mohd Saad R. Improving the quality and productivity of molded parts with a new design of conformal cooling channels for the injection molding process // Advances in polymer technology, 2016, vol. 35, no. 1. DOI:10.1002/adv.21524

  8. Shen Y., Chien H., Lin Y. Optimization of the micro-injection molding process using grey relational analysis and MoldFlow analysis // Journal of reinforced plastics and composites, 2004, vol. 23, no.17, pp. 1799‒1814. https://doi.org/10.1177/0731684404041149

  9. Gunawan H., Anggono W. Improving quality of injection mold using moldflow software simulation case study: new design plastic cup // Proceeding of International seminar on Product Design and Development. 2006.

  10. Liu X.F., Hu Y.H., Huang W.J. Optimum design of plastic injection mould gate based on Moldflow // Advanced Materials Research. Trans Tech Publ, 2011, vol. 239, pp. 2541‒2544. DOI:10.4028/www.scientific.net/AMR.239-242.2541

  11. Guo W., Hua L., Mao H., Meng Z. Prediction of warpage in plastic injection molding based on design of experiments // Journal of Mechanical Science and Technology, 2012, vol. 26, no. 4, pp. 1133‒1139. DOI:10.1007/s12206-012-0214-0

  12. Li M., Zhang H. M., Nie Y. Simulation analysis of residual stress of the plastic gear based on moldflow // Key Engineering Materials. Trans Tech Publ, 2012, vol. 501, pp. 339‒343. DOI:10.4028/www.scientific.net/KEM. 501.339

  13. Sin L.T., Rahman W., Rahmat A., Tee T.-T., Bee S.T., Chong-Yu L. Computer aided injection moulding process analysis of polyvinyl alcohol—starch green biodegradable polymer compound // Journal of manufacturing processes, 2012, vol. 14, no. 1, pp. 8‒19.

  14. Mannella G., La Carrubba V., Brucato V., Zoetelief W., Haagh G. No‐flow temperature in injection molding simulation // Journal of Applied Polymer Science, 2011, vol. 119, no. 6, pp. 3382‒3392. DOI:10.1002/app.32987

  15. Vlachopoulos J., Alam M. Critcal stress and recoverable shear for polymer melt fracture // Polymer Engineering & Science, 1972, vol. 12, no. 3, pp. 184‒192. DOI:10.1002/ pen.760120305

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