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Influence of process parameters and post-molding condition on shrinkage and warpage of injection-molded plastic parts with complex geometry

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Abstract

The quality of injection molded polymer products can be compromised due to the occurrence of residual stresses inherent to the molding process. In order to determine the parameters that influence the dimensional changes and residual stresses of injection molded polypropylene; computer simulations, chemical, thermal and mechanical characterizations were performed. Statistically, we evaluated two conditions of part geometry (with and without rib), three holding pressures (25, 60 and 96 MPa) and three post-molding conditions (without restriction, with restriction followed by water, and with restriction followed by annealing). The specimens molded with ribs and lower holding pressures showed greater warpage, which agreed with the computer simulations. The smooth specimens submitted to annealing followed by air cooling showed lower warpage in relation to the other two post-molding conditions. The thermal analysis presented a lower degree of crystallinity in the samples without post-molding restrictions. The samples submitted to the annealing heat treatment showed an increase in impact strength, and there was no significant variation in the modulus of elasticity for the post-molding conditions evaluated. The ribbed specimens exhibited higher residual stresses than the smooth specimens. Samples with greater warpage had lower residual stresses. All samples showed a tensile-compression-tensile behavior along the hole depth. The results showed that the shrinkage values were not influenced by any of the parameters evaluated. However, on the warpage the factor that exerts the greatest influence is the geometry of the part, followed by the holding pressure; and the post-molding condition presented the least influence among the analyzed factors.

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References

  1. Zhao N, Lian J, Wang P, Xu Z (2022) Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review. Int J Adv Manuf Technol 120:85–101. https://doi.org/10.1007/s00170-022-08859-0

    Article  Google Scholar 

  2. Fu H, Xu H, Liu Y, Yang Z, Kormakov S, Wu D, Sun J (2020) Overview of Injection Molding Technology for Processing Polymers and Their Composites. ES Mater Manuf 8:3–23. https://doi.org/10.30919/esmm5f713

    Article  Google Scholar 

  3. Juster H, Aar B, Brouwer H (2019) A review on microfabrication of thermoplastic polymer-based microneedle arrays. Polym Eng Sci 59:877–890. https://doi.org/10.1002/pen.25078

    Article  Google Scholar 

  4. 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. https://doi.org/10.1007/s00170-014-6770-y

    Article  Google Scholar 

  5. Li K, Yan S, Pan W, Zhao G (2017) Warpage optimization of fiber-reinforced composite injection molding by combining back propagation neural network and genetic algorithm. Int J Adv Manuf Technol 90:963–970. https://doi.org/10.1007/s00170-016-9409-3

    Article  Google Scholar 

  6. Song Z, Liu S, Wang X, Hu Z (2020) Optimization and prediction of volume shrinkage and warpage of injection-molded thin-walled parts based on neural network. Int J Adv Manuf Technol 109:755–769. https://doi.org/10.1007/s00170-020-05558-6

    Article  Google Scholar 

  7. Gordon G, Kazmer DO, Tang X, Fan Z, Gao RX (2015) Quality control using a multivariate injection molding sensor. Int J Adv Manuf Technol 78:1381–1391. https://doi.org/10.1007/s00170-014-6706-6

    Article  Google Scholar 

  8. Guevara-Morales A, Figueroa-López U (2014) Residual stresses in injection molded products. J Mater Sci 49:4399–4415. https://doi.org/10.1007/s10853-014-8170-y

    Article  Google Scholar 

  9. Lin CM, Hsieh HK (2017) Processing optimization of Fresnel lenses manufacturing in the injection molding considering birefringence effect. Microsyst Technol 23:5689–5695. https://doi.org/10.1007/s00542-017-3375-z

    Article  Google Scholar 

  10. Macías C, Meza O, Pérez E (2015) Relaxation of residual stresses in plastic cover lenses with applications in the injection molding process. Eng Fail Anal 57:490–498. https://doi.org/10.1016/j.engfailanal.2015.07.026

    Article  Google Scholar 

  11. Peng Y, Zhao J, Chen L, Dong J (2021) Residual stress measurement combining blind-hole drilling and digital image correlation approach. J Constr Steel Res 176:106346–106352. https://doi.org/10.1016/j.jcsr.2020.106346

    Article  Google Scholar 

  12. Kung CL, Lin AD, Huang PW, Hsu CM (2018) Estimation formula for residual stress from the blind-hole drilling method. Adv Mech Eng 10:1–11. https://doi.org/10.1177/1687814018787409

    Article  Google Scholar 

  13. Zhang T, Chen K, Liu G, Zheng X (2019) Injection molding process optimization of polypropylene using orthogonal experiment methodbBased on tensile strength. IOP Conf Ser Mater Sci Eng 612:032102–0321029. https://doi.org/10.1088/1757-899X/612/3/032102

    Article  Google Scholar 

  14. Modified Polypropylene Market Size (2020) Share & Trends Analysis Report By Application (Automotive, Medical, Electrical & Electronics, Building & Construction, Packaging), By Region, And Segment Forecasts, 2021 - 2030

  15. Li X, Meng L, Zhang Y, Qin Z, Meng L, Li C, Liu M (2022) Research and Application of Polypropylene Carbonate Composite Materials: A Review. Polym (Basel) 14:2159–2165. https://doi.org/10.3390/polym14112159

    Article  Google Scholar 

  16. Farotti E, Natalini M (2018) Injection molding. Influence of process parameters on mechanical properties of polypropylene polymer. A first study Procedia Struct Integr 8:256–264. https://doi.org/10.1016/j.prostr.2017.12.027

    Article  Google Scholar 

  17. Kitayama S, Yokoyama M, Takano M, Aiba S (2017) Multi-objective optimization of variable packing pressure profile and process parameters in plastic injection molding for minimizing warpage and cycle time. Int J Adv Manuf Technol 92:3991–3999. https://doi.org/10.1007/s00170-017-0456-1

    Article  Google Scholar 

  18. Li X, Wei Q, Li J, Yang J, Guan J, Qiu J, Xu J, Wang X (2019) Numerical simulation on crystallization-induced warpage of injection-molded PP/EPDM part. J Polym Res 26:228–234. https://doi.org/10.1007/s10965-019-1869-3

    Article  Google Scholar 

  19. Chen W, Nguyen M, Chiu W, Chen T, Tai P (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. https://doi.org/10.1007/s00170-015-7683-0

    Article  Google Scholar 

  20. Rosli M, Ahmad Termizi S, Khor C, Nawi M, Akmal A, Ikman Ishak M (2020) Simulation Based Optimization of Thin Wall Injection Molding Parameter Using Response Surface Methodology. IOP Conf Ser Mater Sci Eng 864:012193–012199. https://doi.org/10.1088/1757-899X/864/1/012193

    Article  Google Scholar 

  21. Rizvi SJA, Singh AK, Bhadu GR (2017) Optimization of tensile properties of injection molded α-nucleated polypropylene using response surface methodology. Polym Test 60:198–210. https://doi.org/10.1016/j.polymertesting.2017.03.021

    Article  Google Scholar 

  22. Wen T, ChenX YC, Liu L, Hao L (2014) Optimization of processing parameters for minimizing warpage of large thin-walled parts in whole stages of injection molding. Chin J Polym Sci 32:1535–1543. https://doi.org/10.1007/s10118-014-1541-7

    Article  Google Scholar 

  23. Erzurumlu T, Ozcelik B (2006) Minimization of warpage and sink index in injection-molded thermoplastic parts using Taguchi optimization method. Mater Des 27:853–861. https://doi.org/10.1016/j.matdes.2005.03.017

    Article  Google Scholar 

  24. Berihun EA, Bogale TM (2022) Parameter Optimization of PET Plastic Preform Bottles in Injection Molding Process Using Grey-Based Taguchi Method. Adv Mater Sci Eng 2022:1–9. https://doi.org/10.1155/2022/4416602

    Article  Google Scholar 

  25. Kim B, Min J (2017) Residual stress distributions and their influence on post-manufacturing deformation of injection-molded plastic parts. J Mater Process Technol 245:215–226. https://doi.org/10.1016/j.jmatprotec.2017.02.015

    Article  Google Scholar 

  26. Bociaga E (2010) Warpage of injection moulded parts as the result of mould temperature difference. Arch Mater Sci Eng 44:28–34

    Google Scholar 

  27. Sudsawat S, Sriseubsai W (2018) Warpage reduction through optimized process parameters and annealed process of injection-molded plastic parts. J Mech Sci Technol 32:4787–4799. https://doi.org/10.1007/s12206-018-0926-x

    Article  Google Scholar 

  28. ASTM D955 (2014) Standard Test Method of Measuring Shrinkage from Mold Dimensions of Thermoplastics

  29. Xie P, Guo F, Jiao Z, Ding Y, Yang W (2014) Effect of gate size on the melt filling behavior and residual stress of injection molded parts. Mater Des 53:366–372. https://doi.org/10.1016/j.matdes.2013.06.071

    Article  Google Scholar 

  30. Leães V (2008) Avaliação da influência da diferença de temperatura entre as placas de um molde de injeção no empenamento de peças injetadas. Dissertation, University of Santa Catarina

  31. Maxwell AS, Turnbull A (2003) Measurement of residual stress in engineering plastics using the hole-drilling technique. Polym Test 22:231–233. https://doi.org/10.1016/S0142-9418(02)00087-9

    Article  Google Scholar 

  32. Sperling L (2005) Introduction to Physical Polymer Science. EUA, New Jersey

    Book  Google Scholar 

  33. ASTM D638 (2014) Standard Test Method for Tensile Properties of Plastics

  34. ASTM D256 (2015) Standard Test Methods for Determining the Izod Pendulum Impact Resistance of Plastics

  35. ASTM E837 (2013) Standard Test Method for Determining Residual Stresses by the Hole-Drilling Strain-Gage Method

  36. Withers PJ, Bhadeshia HK (2001) Residual stress. Part 1 – Measurement techniques. Mater Sci Technol 17:355–365. https://doi.org/10.1179/026708301101509980

    Article  Google Scholar 

  37. Montgomery DC (2012) Design and analysis of experiments. EUA, New Jersey

    Google Scholar 

  38. Wang X, Zhao G, Wang G (2013) Research on the reduction of sink mark and warpage of the molded part in rapid heat cycle molding process. Mater Des 47:779–792. https://doi.org/10.1016/j.matdes.2012.12.047

    Article  Google Scholar 

  39. Usman QM, Habib T, Noor S, Abas M, Azim S, Yaseen QM (2020) Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage’s using integrated approach of S/N ratio and composite desirability function. Cogent Eng 7:1781424–1781429. https://doi.org/10.1080/23311916.2020.1781424

    Article  Google Scholar 

  40. Hiyane-Nashiro G, Hernández-Hernández M, Rojas-García J, Rodriguez-Resendiz J, Álvarez-Alvarado JM (2022) Optimization of the Reduction of Shrinkage and Warpage for Plastic Parts in the Injection Molding Process by Extended Adaptive Weighted Summation Method. Polym (Basel) 14:5133–5138. https://doi.org/10.3390/polym14235133

    Article  Google Scholar 

  41. Bejarano LA, Espitia H, Montenegro C (2022) Clustering Analysis for the Pareto Optimal Front in Multi-Objective Optimization. Computation 10:37–42. https://doi.org/10.3390/computation10030037

    Article  Google Scholar 

  42. Sánchez R, Aisa J, Martinez A, Mercado D (2012) On the relationship between cooling setup and warpage in injection molding. Measurement 45:1051–1056. https://doi.org/10.1016/j.measurement.2012.01.039

    Article  Google Scholar 

  43. Dizon JR, Valino AD, Souza LR, Espera A, Chen Q, Advincula R (2019) Three-dimensional-printed molds and materials for injection molding and rapid tooling applications. MRS Commun 9:1267–1283. https://doi.org/10.1557/mrc.2019.147

    Article  Google Scholar 

  44. Kościuszko A, Marciniak D, Sykutera D (2020) Post-Processing Time Dependence of Shrinkage and Mechanical Properties of Injection-Molded Polypropylene. Mater (Basel) 14:22–26. https://doi.org/10.3390/ma14010022

    Article  Google Scholar 

  45. Yu X, Wu H, Li J, Guo S, Qiu J (2009) Structure and property of injection-molded polypropylene along the flow direction. Polym Eng Sci 49:703–712. https://doi.org/10.1002/pen.21302

    Article  Google Scholar 

  46. Kościuszko A, Rojewski M, Nowinka B, Patalas F (2022) Post-Molding Shrinkage, Structure and Properties of Cellular Injection-Molded Polypropylene. Mater (Basel) 15:7079–7096. https://doi.org/10.3390/ma15207079

    Article  Google Scholar 

  47. Dar UA, Xu Y, Zakir S, Saeed M (2017) The effect of injection molding process parameters on mechanical and fracture behavior of polycarbonate polymer. J Appl Polym Sci 134:44474–44481. https://doi.org/10.1002/app.44474

    Article  Google Scholar 

  48. Ugochukwu CO, Anthony OO, Ejiroghene O (2015) Software for Stresses and Mohr’s Circle Computation, Transformation and Sensitivity Analysis. Int J Eng Trends Technol 28:123–129. https://doi.org/10.14445/22315381/IJETT-V28P224

    Article  Google Scholar 

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Acknowledgements

This work was partially supported by the Coordenação Aperfeiçoamento de Pessoal de Nível Superior Brasil (CAPES) Finance Code 001 and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)—Grants 308567/2018 (C.A.F.) and Fundação de Amparo à Pesquisa do 765 Estado do Rio Grande do Sul (FAPERGS). Project 2019/766-18460-4 FAPESP-FAPERGS.

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Nayrim B. Guerra: writing—original draft and editing. Tiago M. Reis: writing—reviewing and editing. Tiago Scopel: methodology, validation and investigation. Michele S. de Lima: writing— reviewing and editing. Carlos A. Figueroa: writing— reviewing and editing. Alexandre F. Michels: conceptualization, supervision, visualization, and writing—reviewing and editing.

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Correspondence to Alexandre Fassini Michels.

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Guerra, N.B., Reis, T.M., Scopel, T. et al. Influence of process parameters and post-molding condition on shrinkage and warpage of injection-molded plastic parts with complex geometry. Int J Adv Manuf Technol 128, 479–490 (2023). https://doi.org/10.1007/s00170-023-11782-7

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