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Multi-objective process parameter optimization for minimizing weldline and cycle time using heater-assisted rapid heat cycle molding

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Abstract

Rapid heat cycle molding (RHCM) that actively controls the mold temperature is an innovative plastic injection molding (PIM) technology. The melt plastic smoothly flows into cavity due to the high mold temperature, and weldline reduction can be achieved. The overall mold heating in the conventional RHCM leads to long cooling time, which makes the cycle time long. To shorten the cycle time as well as weldline reduction, the RHCM using a heater called the heater-assisted RHCM is developed. It is easy to install the heater in the mold, and the local region around which the weldline is observed is heated up. Consequently, the weldline will be reduced. Since the mold is locally heated up, short cycle time will be expected. Since the process parameters in the heater-assisted RHCM are unknown in advance, design optimization is used to determine the process parameters. The numerical simulation is computationally so expensive that sequential approximate optimization that response surface is repeatedly constructed and optimized is adopted to determine the optimal process parameters. It is found from the numerical result that the weldline and the cycle time are well reduced. Based on the numerical result, the experiment using the PIM machine (MS100, Sodick) is conducted. It is confirmed through the numerical and experimental result that the heater-assisted RHCM is effective to the weldline reduction and the short cycle time.

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References

  1. Fernandes C, Pontes AJ, Viana JC, Gaspar-cunha A (2018) Modeling and optimization of the injection-molding process: a review. Adv Polym Technol 37:21683. https://doi.org/10.1002/adv.21683

    Article  Google Scholar 

  2. 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. https://doi.org/10.1007/s00170-006-0411-z

    Article  Google Scholar 

  3. Wu CH, Liang WJ (2005) Effects of geometry and injection-molding parameters on weld-line strength. Polym Eng Sci 45(7):1021–1030. https://doi.org/10.1002/pen.20369

    Article  Google Scholar 

  4. Ozcelik B (2011) Optimization of injection parameters for mechanical properties of specimens with weld line of polypropylene using Taguchi method. Int Commun Heat Mass Transfer 38:1067–1072. https://doi.org/10.1016/j.icheatmasstransfer.2011.04.025

    Article  Google Scholar 

  5. Kim K, 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. https://doi.org/10.1007/s00170-016-8854-3

    Article  Google Scholar 

  6. Deng YM, Zheng D, Lu XJ (2008) Injection moulding optimisation of multi-class design variables using a PSO algorithm. Int J Adv Manuf Technol 39:690–698. https://doi.org/10.1007/s00170-007-1258-7

    Article  Google Scholar 

  7. Kitayama S, Tamada K, Takano M, Aiba S (2018) 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. https://doi.org/10.1007/s00170-018-2021-y

    Article  Google Scholar 

  8. Feng QQ, Zhou X (2019) Automated and robust multi-objective optimal design of thin-walled product injection process based on hybrid RBF-MOGA. Int J Adv Manuf Technol 101:2217–2231. https://doi.org/10.1007/s00170-018-3084-5

    Article  Google Scholar 

  9. Zhou H, Zhang S, Wang Z (2021) Multi-objective optimization of process parameters in plastic injection molding using a differential sensitivity fusion method. Int J Adv Manuf Technol 114:423–449. https://doi.org/10.1007/s00170-021-06762-8

    Article  Google Scholar 

  10. Yao D, Chen SC, Kim BH (2008) Rapid thermal cycling of injection molds: an overview on technical approaches and applications. Adv Polym Technol 27:233–255. https://doi.org/10.1002/adv.20136

    Article  Google Scholar 

  11. Chen SC, Jong WR, Chang JA (2006) Dynamic mold surface temperature control using induction heating and its effects on the surface appearance of weld line. J Appl Polym Sci 101:1174–1180. https://doi.org/10.1002/app.24070

    Article  Google Scholar 

  12. Chang PC, Hwang SJ (2006) Experimental investigation of infrared rapid surface heating for injection molding. J Appl Polym Sci 102:3704–3713. https://doi.org/10.1002/app.24515

    Article  Google Scholar 

  13. Li X, Zhao GQ, Guan YJ, Ma MX (2009) Optimal design of heating channels for rapid heat cycle injection molding based on response surface and genetic algorithm. Mater Des 30:4317–4323. https://doi.org/10.1016/j.matdes.2009.04.016

    Article  Google Scholar 

  14. Zhao G, Wang G, Guan Y, Li H (2011) Research and application of a new rapid heat cycle molding with electric heating and coolant cooling to improve the surface quality of large LCD TV panels. Polym Adv Technol 22:476–487. https://doi.org/10.1002/pat.1536

    Article  Google Scholar 

  15. Wang G, Zhao G, Li H, Guan Y (2010) Research of thermal response simulation and mold structure optimization for rapid heat cycle molding processes, respectively, with steam heating and electric heating. Mater Des 31:382–395. https://doi.org/10.1016/j.matdes.2009.06.010

    Article  Google Scholar 

  16. Wang G, Zhao G, Li H, Guan Y (2011) Multi-objective optimization design of the heating/cooling channels of the steam-heating rapid thermal response mold using particle swarm optimization. Int J Therm Sci 50:790–802. https://doi.org/10.1016/j.ijthermalsci.2011.01.005

    Article  Google Scholar 

  17. Wang G, Zhao G, Guan Y (2011) Research on optimum heating system design for rapid thermal response mold with electric heating based on response surface methodology and particle swarm optimization. J Appl Polym Sci 119:902–921. https://doi.org/10.1002/app.32771

    Article  Google Scholar 

  18. Wang G, Zhao G, Guan Y (2013) Thermal response of an electric heating rapid heat cycle molding mold and its effect on surface appearance and tensile strength of the molded part. J Appl Polym Sci 128:1339–1352. https://doi.org/10.1002/app.38274

    Article  Google Scholar 

  19. Wang M, Dong J, Wang W, Zhou J, Dai Z, Zhuag X, Yao X (2013) Optimal design of medium channels for water-assisted rapid thermal cycle mold using multi-objective evolutionary algorithm and multi-attribute decision-making method. Int J Adv Manuf Technol 68:2407–2417. https://doi.org/10.1007/s00170-013-4868-2

    Article  Google Scholar 

  20. Xiao CL, Huang HX (2014) Multiobjective optimization design of heating system in electric heating rapid thermal cycle mold for yielding high gloss parts, Journal of Applied Polymer Science, 131. https://doi.org/10.1002/app.39976.

  21. Xiao CL, Huang HX (2014) Optimal design of heating system for rapid thermal cycle mold using particle swarm optimization and finite element method. Appl Therm Eng 64:462–470. https://doi.org/10.1016/j.applthermaleng.2013.12.062

    Article  Google Scholar 

  22. Wang G, Zhao G, Wang X (2014) Heating/cooling channels design for an automotive interior part and its evaluation in rapid heat cycle molding. Mater Des 59:310–322. https://doi.org/10.1016/j.matdes.2014.02.047

    Article  Google Scholar 

  23. Wang G, Hui Y, Zhang L, Zhao G (2018) Research on temperature and pressure responses in the rapid mold heating and cooling method based on annular cooling channels and electric heating. Int J Heat Mass Transf 116:1192–1203. https://doi.org/10.1016/j.ijheatmasstransfer.2017.09.126

    Article  Google Scholar 

  24. Kitayama S, Ishizuki R, Takano M, Kubo Y, Aiba S (2019) Optimization of mold temperature profile and process parameters for weld line reduction and short cycle time in rapid heat cycle molding. Int J Adv Manuf Technol 103:1735–1744. https://doi.org/10.1007/s00170-019-03685-3

    Article  Google Scholar 

  25. Kirchheim A, Katrodiya Y, Zumofen L, Ehrig F, Wick C (2021) Dynamic conformal cooling improves injection molding. Int J Adv Manuf Technol 114:107–116. https://doi.org/10.1007/s00170-021-06794-0

    Article  Google Scholar 

  26. Xiao CL, Huang HX (2014) Development of a rapid thermal cycling molding with electric heating and water impingement cooling for injection molding applications. Appl Therm Eng 73:712–722. https://doi.org/10.1016/j.applthermaleng.2014.08.027

    Article  Google Scholar 

  27. Xiao CL, Huang HX, Yang X (2016) Development and application of rapid thermal cycle molding with electric heating for improving surface quality of microcellular injection molded parts. Appl Therm Eng 100:478–489. https://doi.org/10.1016/j.applthermaleng.2016.02.045

    Article  Google Scholar 

  28. Wang G, Zhao G, Wang X (2013) Effects of cavity surface temperature on mechanical properties of specimens with and without a weld line in rapid heat cycle molding. Mater Des 46:457–472. https://doi.org/10.1016/j.matdes.2012.10.054

    Article  Google Scholar 

  29. 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 

  30. Nian SC, Wu CY, Huang MS (2015) Warpage control of thin-walled injection molding using local mold temperatures. Int Commun Heat Mass Transfer 61:102–110. https://doi.org/10.1016/j.icheatmasstransfer.2014.12.008

    Article  Google Scholar 

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

    Article  Google Scholar 

  32. Kuo CC, Zhu YJ, Wu YZ, You ZY (2019) Development and application of a large injection mold with conformal cooling channels. Int J Adv Manuf Technol 103:689–701. https://doi.org/10.1007/s00170-019-03614-4

    Article  Google Scholar 

  33. Kuo CC, Jiang ZF, Lee JH (2019) Effect of cooling time of molded parts on rapid injection molds with different layouts and surface roughness of conformal cooling channels. Int J Adv Manuf Technol 103:2169–2182. https://doi.org/10.1007/s00170-019-03694-2

    Article  Google Scholar 

  34. Feng S, Kamat AM, Pei Y (2021) Design and fabrication of conformal cooling channels in molds: review and progress updates, International Journal of Heat and Mass Transfer, 171: https://doi.org/10.1016/j.ijheatmasstransfer.2021.121082.

  35. Ozcelik B, Kuram E, Topal MM (2012) Investigation the effects of obstacle geometries and injection molding parameters on weld line strength using experimental and finite element methods in plastic injection molding. Int Commun Heat Mass Transfer 39:275–281. https://doi.org/10.1016/j.icheatmasstransfer.2011.11.012

    Article  Google Scholar 

  36. Kitayama S (2022) Process parameters optimization in plastic injection molding using metamodel-based optimization: a comprehensive review. Int J Adv Manuf Technol 121:7117–7145. https://doi.org/10.1007/s00170-022-09858-x

    Article  Google Scholar 

  37. Kitayama S, Hashimoto S, Takano M, Yamazaki Y, Kubo Y, Aiba S (2020) Multi-objective optimization for minimizing weldline and cycle time using variable injection velocity and variable pressure profile in plastic injection molding. Int J Adv Manuf Technol 107:3351–3361. https://doi.org/10.1007/s00170-020-05235-8

    Article  Google Scholar 

  38. Kitayama S, Arakawa M, Yamazaki K (2011) Sequential approximate optimization using radial basis function network for engineering optimization. Optim Eng 12:535–557. https://doi.org/10.1007/s11081-010-9118-y

    Article  MATH  Google Scholar 

  39. Kitayama S, Saikyo M, Kawamoto K, Yamamichi K (2015) Multi-objective optimization of blank shape for deep drawing with variable blank holder force via sequential approximate optimization. Struct Multidiscip Optim 52:1001–1012. https://doi.org/10.1007/s00158-015-1293-1

    Article  MathSciNet  Google Scholar 

  40. Kitayama S, Koyama H, Kawamoto K, Noda T, Yamamichi K, Miyasaka T (2017) Numerical and experimental case study on simultaneous optimization of blank shape and variable blank holder force trajectory in deep drawing. Struct Multidiscip Optim 55:347–359. https://doi.org/10.1007/s00158-016-1484-4

    Article  Google Scholar 

  41. Kitayama S, Koyama H, Kawamoto K, Miyasaka T, Yamamichi K, Noda T (2017) Optimization of blank shape and segmented variable blank holder force trajectories in deep drawing using sequential approximate optimization. Int J Adv Manuf Technol 91:1809–1821. https://doi.org/10.1007/s00170-016-9877-5

    Article  Google Scholar 

  42. Kitayama S, Kadoya S, Takano M, Kobayashi A (2021) Multi-objective optimization of process parameters in cold forging minimizing risk of crack and forging energy. Arch Civil Mech Eng 21:132. https://doi.org/10.1007/s43452-021-00289-1

    Article  Google Scholar 

  43. Kitayama S, Saikyo M, Nishio Y, Tsutsumi K (2015) Torque control strategy and optimization for fuel consumption and emission reduction in parallel hybrid electric vehicles. Struct Multidiscip Optim 52:595–611. https://doi.org/10.1007/s00158-015-1254-8

    Article  Google Scholar 

  44. 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. https://doi.org/10.1007/s00170-010-2719-y

    Article  Google Scholar 

  45. Li XP, Zhao GQ, Guan YJ, Ma MX (2010) Multi-objective optimization of heating channels for rapid heat cycle injection mold using Pareto-based genetic algorithm. Polym Adv Technol 21:669–678. https://doi.org/10.1002/pat.1488

    Article  Google Scholar 

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Funding

This research is partially supported by Grants-in-Aided for Scientific Research from Japan Society for the Promotion of Science (JSPS).

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Satoshi Kitayama organized the whole research, performed the design optimization, and wrote the manuscript. Shogo Tsurita conducted the numerical simulation using Moldex3D. Masahiro Takano developed the cooling channel. Yusuke Yamazaki, Yoshikazu Kubo, and Shuji Aiba conducted the experiment using the PIM machine.

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Correspondence to Satoshi Kitayama.

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Kitayama, S., Tsurita, S., Takano, M. et al. Multi-objective process parameter optimization for minimizing weldline and cycle time using heater-assisted rapid heat cycle molding. Int J Adv Manuf Technol 128, 5635–5646 (2023). https://doi.org/10.1007/s00170-023-12245-9

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