Analisa Termal Sistem Pemanas pada Alat Mesin Cetak Baut Platik Skala UMKM

Authors

  • Panji Fitrah Ramadhan Universitas Muhammadiyah Jakarta
  • Gunawan Hidayat Universitas Muhammadiyah Jakarta

DOI:

https://doi.org/10.59031/jnts.v3i4.744

Keywords:

Band Heater, Energy Efficiency, LDPE, Plastic Molding Machine, Thermal Analysis

Abstract

This study aims to analyze the thermal performance of the heating system in a small-scale plastic bolt molding machine using LDPE material, in order to determine process parameters that are efficient while maintaining product quality. The method used includes experimental testing at two set-point temperatures (90 °C and 120 °C), measurement of melting time and feed mass per cycle, as well as heat balance calculations separating the contributions of conduction, convection, and radiation on the barrel heated by a band heater. In addition, the power/energy requirement per cycle and productivity projections based on hopper capacity were calculated. The results show that increasing the set-point from 90 °C to 120 °C accelerates melting from ±240 s to ±180 s (≈25% faster). Heat transfer analysis confirmed the dominance of conduction (≈329.7 W at 90 °C and ≈471 W at 120 °C), while convection and radiation contributions were much smaller; the total system heat rate was ≈342.7 W (90 °C) and ≈490.8 W (120 °C). The discussion highlights the process trade-off: higher set-points increase production rate and mold filling quality (due to lower melt viscosity), but may raise energy consumption per cycle and require tighter mold temperature control to limit shrinkage/warpage. The practical implications for SMEs are the need for efficiency strategies based on barrel insulation, heater contact area optimization, and correlation of temperature-time settings with quality and energy consumption targets. This study concludes that controlled temperature and heating duration, supported by simple yet targeted thermal design, can improve cycle time consistency, dimensional precision, and energy efficiency in small-scale plastic bolt molding machines.

References

Akhmad, S., Lumintu, I., & Arendra, A. (2018). Development of hot press molding for HDPE recycling and process characterization. Atlantis Highlights in Engineering, 1, 925–932.

Gaspar-Cunha, A., Melo, J., Marques, T., & Pontes, A. (2025). A review on injection molding: Conformal cooling channels, modelling, surrogate models and multi-objective optimization. Polymers, 17(7), 919.

Gupta, P., & Saxena, R. (2024). Performance analysis of biodegradable polymers in injection molding: A review. Materials Science and Engineering: R: Reports, 158, 1–15. https://doi.org/10.1016/j.mser.2023.101057

Hwang, J., & Lee, S. (2024). Effect of processing parameters on the mechanical properties of injection molded parts: A comprehensive review. Journal of Applied Polymer Science, 131(10), 17589. https://doi.org/10.1002/app.49761

Junaedi, H., Baig, M., Dawood, A., Albahkali, E., & Almajid, A. (2022). Effect of the matrix melt flow index and fillers on mechanical properties of polypropylene-based composites. Materials, 15(21), 7568.

Kim, D., Lee, H., & Lim, C. H. (2023). Improving efficiency in injection molding with intelligent manufacturing systems. Manufacturing Science and Engineering, 145(4), 120–130. https://doi.org/10.1115/1.4057123

Kwon, M., Lee, D. H., & Kim, S. S. (2024). Numerical analysis of injection molding process for polymeric materials: Recent developments and future challenges. Journal of Polymer Engineering, 44(3), 333–350. https://doi.org/10.1515/polyeng-2023-0134

Li, X., Wang, Y., & Zhao, L. (2023). Advances in injection molding simulation: From material selection to process optimization. Journal of Manufacturing Processes, 61, 245–257. https://doi.org/10.1016/j.jmapro.2022.11.031

Liu, B., Zhou, J., & Xu, L. (2024). Multi-objective optimization of injection molding process for high-performance polymers. Materials Design & Processing, 8(1), 55–70. https://doi.org/10.1016/j.mdp.2023.04.004

Patel, A., & Sharma, S. (2025). The role of mold design in minimizing defects in injection molded parts: A computational approach. Polymer Engineering and Science, 65(2), 410–420. https://doi.org/10.1002/pen.26348

Smith, J. T., & Zhang, Z. (2023). Advanced polymer composites for injection molding: Materials and process optimization. Journal of Composite Materials, 57(2), 124–138. https://doi.org/10.1177/0021998322114027

Tan, W., & Lu, S. (2023). Enhancing mold design for low-shrinkage polymers in injection molding: A computational study. Journal of Polymer Science and Technology, 48(2), 198–207. https://doi.org/10.1016/j.jpolytec.2023.07.005

Tang, Y., Hu, H., Ding, Y., Wang, T., Xie, P., & Yang, W. (2025). Thermal performance analysis of integrated energy management system for mold cooling/heat pump/material preheating of injection-molding machine. Symmetry, 17(5), 637.

Xu, Z., Yang, J., & Liang, Q. (2025). Simulation and optimization of cooling systems in injection molding: Recent advances and applications. International Journal of Advanced Manufacturing Technology, 127(5), 1231–1244. https://doi.org/10.1007/s00170-024-10420-9

Zhou, Z.-W., Yang, H.-Y., Xu, B.-X., Ting, Y.-H., Chen, S.-C., & Jong, W.-R. (2023). Prediction of short-shot defects in injection molding by transfer learning. Applied Sciences, 13(23), 12868.

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Published

2025-09-19

How to Cite

Fitrah Ramadhan, P., & Gunawan Hidayat. (2025). Analisa Termal Sistem Pemanas pada Alat Mesin Cetak Baut Platik Skala UMKM. Journal of New Trends in Sciences, 3(4), 01–15. https://doi.org/10.59031/jnts.v3i4.744