KaydedilenlerDerginizi ekleyin

Dergiler / Black Sea Journal of Engineering and Science / 2026 / Cilt: 9 Sayı: 5

Experimental Investigation of the Effects of Process Parameters on Product Geometry and Weight in the Injection Molding Process with PE100 Material

Yavuz Turan(TRADE AND INDUSTRY MANAGEMENT PR.)0000-0001-8537-3989
İbrahim Keles(Samsun Üniversitesi)0000-0001-8252-2635
Sayfa
2232–2238
Yayın Tarihi
2026-09-15
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The experimental findings offer practical and reliable insights for optimizing injection molding processes involving dense materials like PE100, providing meaningful contributions to both design and production strategies.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This study investigates the influence of key process parameters on the geometric and physical properties of parts produced by injection molding using high-density polyethylene (PE100).
📊
Temel Bulgular & Veri:Samples are analyzed using an ATOS Q 3D scanning system and a high-precision digital scale.
💡
Sonuç & Katkı:The experimental findings offer practical and reliable insights for optimizing injection molding processes involving dense materials like PE100, providing meaningful contributions to both design and production strategies.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:PE100 · Injection molding · Packing pressure

Özet

This study investigates the influence of key process parameters on the geometric and physical properties of parts produced by injection molding using high-density polyethylene (PE100). The parameters include packing pressure, melt temperature, and cooling time which are systematically varied based on MoldFlow simulations. Samples are analyzed using an ATOS Q 3D scanning system and a high-precision digital scale. Results show that increasing packing pressure improves flatness and dimensional accuracy. While higher melt temperature enhances surface flatness, it also increases cylindrical deformations. Cooling time positively affects flatness but may lead to deformation in the upper cylinder. Regarding product weight, packing pressure has the most significant effect, followed by melt temperature, whereas cooling time shows minimal impact. The experimental findings offer practical and reliable insights for optimizing injection molding processes involving dense materials like PE100, providing meaningful contributions to both design and production strategies.

Abstract

This study investigates the influence of key process parameters on the geometric and physical properties of parts produced by injection molding using high-density polyethylene (PE100). The parameters include packing pressure, melt temperature, and cooling time which are systematically varied based on MoldFlow simulations. Samples are analyzed using an ATOS Q 3D scanning system and a high-precision digital scale. Results show that increasing packing pressure improves flatness and dimensional accuracy. While higher melt temperature enhances surface flatness, it also increases cylindrical deformations. Cooling time positively affects flatness but may lead to deformation in the upper cylinder. Regarding product weight, packing pressure has the most significant effect, followed by melt temperature, whereas cooling time shows minimal impact. The experimental findings offer practical and reliable insights for optimizing injection molding processes involving dense materials like PE100, providing meaningful contributions to both design and production strategies.

🔖

Bu Makaleye Atıf Yap

Turan, Y., Keles, İ. (2026). Experimental Investigation of the Effects of Process Parameters on Product Geometry and Weight in the Injection Molding Process with PE100 Material. Black Sea Journal of Engineering and Science, Cilt: 9 Sayı: 5, 2232–2238. https://doi.org/10.34248/bsengineering.1977435

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (16)

  1. Ahmad, A. H., Leman, Z., Azmir, M. A., Muhamad, K. F., Harun, W. S. W., Juliawati, A., & Alias, A. B. S. (2009). Optimization of warpage defect in injection moulding process using ABS material. In 2009 Third Asia International Conference on Modelling & Simulation (pp. 470-474). IEEE.Altan, M. (2010). Reducing shrinkage in injection molding via the Taguchi, ANOVA and neural network methods. Materials & Design, 31, 599–604.
  2. Angstadt, D. C., & Coulter, J. P. (1999). Cavity pressure and part quality in the injection molding process. In ASME International Mechanical Engineering Congress and Exposition (Vol. 16622, pp. 7-17). American Society of Mechanical Engineers.
  3. Bushko, W. C., & Stokes, V. K. (1996). Solidification of thermoviscoelastic melts. Part 3: Effects of mold surface temperature differences on warpage and residual stresses. Polymer Engineering & Science, 36(3), 322-335.
  4. Garcı́a, N., González, E., Baselga, J., & Bravo, J. (2003). Critical thickness estimation in ISO-MC cards injection using CAE tools. Journal of materials processing technology, 143, 491-494.
  5. Hussin, R., Saad, R. M., Hussin, R., & Dawi, M. S. I. M. (2012). An optimization of plastic injection molding parameters using Taguchi optimization method. Asian Transactions on Engineering, 2(5), 75-80.
  6. Jafarian, A. R., & Shakeri, M. (2005). Investigating the Influence of Different Process Parameters on Shrinkage of Injection-Molded Parts. American Journal of Applied Sciences, 2(3), 688-700.
  7. Jansen, K. M. B., Van Dijk, D. J., & Husselman, M. H. (1998). Effect of processing conditions on shrinkage in injection molding. Polymer Engineering & Science, 38(5), 838-846.
  8. Jansen, K. M. B., & Titomanlio, G. (1996). Effect of pressure history on shrinkage and residual stresses—injection molding with constrained shrinkage. Polymer Engineering & Science, 36(15), 2029-2040.
  9. Kazmer, D., & Barkan, P. (1997). Multi‐cavity pressure control in the filling and packing stages of the injection molding process. Polymer Engineering & Science, 37(11), 1865-1879.
  10. Mustaffa, M. T., Radhwan, H., Annuar, A. F., Azmi, H., Zakaria, M. Z., & Khalil, A. N. M. (2015). An optimization of shrinkage in injection molding parts by using Taguchi method. Journal of Advanced Research in Applied Mechanics, 10(1), 1-8.
  11. Mathivanan, D., Nouby, M., & Vidhya, R. (2010). Minimization of sink mark defects in injection molding process–Taguchi approach. International Journal of Engineering, Science and Technology, 2(2), 13-22.
  12. Postawa, P., & Koszkul, J. (2005). Change in injection moulded parts shrinkage and weight as a function of processing conditions. Journal of materials processing technology, 162, 109-115.
  13. Tang, S. H., Kong, Y. M., Sapuan, S. M., Samin, R., & Sulaiman, S. (2006). Design and thermal analysis of plastic injection mould. Journal of materials processing technology, 171(2), 259-267.
  14. Titomanlio, G., & Jansen, K. M. B. (1996). In‐mold shrinkage and stress prediction in injection molding. Polymer Engineering & Science, 36(15), 2041-2049.
  15. Turng, L. S., & Peić, M. (2002). Computer aided process and design optimization for injection moulding. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 216(12), 1523-1532.
  16. Zhang, L., Theurer, C. B., Gao, R. X., & Kazmer, D. O. (2001). Design of a wireless sensor for injection molding cavity pressure measurement. In ASME International Mechanical Engineering Congress and Exposition (Vol. 35609, pp. 1-7). American Society of Mechanical Engineers.