Optimization of Melt and Coolant Temperature on Defects of Injection Molded Toothbrush Handle

Mochammad Arief Susetyo, Andoko Andoko, Yanuar Rohmat Aji Pradana

Abstract


The toothbrush handle is an injection molded product that rejects up to 10%. One of the factors that cause defects is the injection molding process settings, namely melting and cooling temperature. The purpose of this optimization is to obtain the optimum value of melt and cooling temperature parameters on product quality (minimum defects) of toothbrush handles using RSM. The methods used include simulation using ANSYS to obtain mold temperature, Autodesk Moldflow to obtain product defects and quality prediction based on input parameters of melt temperature (190o , 200o , and 210o C) and coolant temperature (22o , 24o , and 26o C), and Minitab 19 for RSM optimization. The simulation results that cooling temperature and melt temperature that are too low and high result in high defect values (weld line and shrinkage) in the product, resulting in low quality prediction values. Based on the results of the optimized simulation, the best injection molding setting is at a melt temperature of 200oC and a cooling temperature of 24oC which obtains a toothbrush handle product quality response variable of 78.04% with a minimum weld line value of 0.0277o and a minimum shrinkage depth of 0.009 mm.

Keywords


Optimization; Toothbrush Handle; Injection Molding; RSM

Full Text:

PDF

References


R. Setiawan, F. Hrdlička, P. S. Darmanto, V. P. Fahriani, dan S. R. Pertiwi, “Thermal Design Optimization of Shell-and-Tube Heat Exchanger Liquid to Liquid to Minimize Cost using Combination Bell-Delaware Method and Genetic Algorithm,” J. Mech. Eng. Sci. Technol. JMEST, vol. 4, no. 1, Art. no. 1, Jul 2020, doi: 10.17977/um016v4i12020p014.

Y. Hendronursito, T. O. Rajagukguk, A. Anshori, dan A. Yunanto, “Optimization of Stir Casting of Aluminum Matrix Composites (AMCs) with Filler of Recycled Glass Powder (RGP) for The Mechanical Properties,” J. Mech. Eng. Sci. Technol. JMEST, vol. 4, no. 2, Art. no. 2, Nov 2020, doi: 10.17977/um016v4i22020p101.

M. S. Said, J. A. Ghani, M. S. Kassim, S. H. Tomadi, C. Hassan, dan C. Haron, “Comparison between Taguchi Method and Response Surface Methodology (RSM) In Optimizing Machining Condition”.

K. M. Prasath, T. Pradheep, dan S. Suresh, “Application of Taguchi and Response Surface Methodology (RSM) in Steel Turning Process to Improve Surface Roughness and Material Removal Rate,” Mater. Today Proc., vol. 5, no. 11, Part 3, hlm. 24622–24631, Jan 2018, doi: 10.1016/j.matpr.2018.10.260.

S. Shojaei, S. Shojaei, S. S. Band, A. A. K. Farizhandi, M. Ghoroqi, dan A. Mosavi, “Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites,” Sci. Rep., vol. 11, no. 1, Art. no. 1, Agu 2021, doi: 10.1038/s41598-021-95649-5.

A. K. Sahoo dan B. Sahoo, “Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach,” Int. J. Ind. Eng. Comput., vol. 2, no. 4, hlm. 819–830, Okt 2011, doi: 10.5267/j.ijiec.2011.06.001.

P. Bharti, M. Khan, dan S. Harbinder, “Recent methods for optimization of plastic injection molding process—a retrospective and literature review,” Int. J. Eng. Sci. Technol., vol. 2, Sep 2010.

P. H. Kauffer, Injection molding: Process, design, and applications. 2011, hlm. 292.

P. D. Kale, P. D. Darade, dan A. R. Sahu, “A literature review on injection moulding process based on runner system and process variables,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1017, no. 1, hlm. 012031, Jan 2021, doi: 10.1088/1757-899X/1017/1/012031.

G. Singh dan A. Verma, “A Brief Review on injection moulding manufacturing process,” Mater. Today Proc., vol. 4, no. 2, Part A, hlm. 1423–1433, Jan 2017, doi: 10.1016/j.matpr.2017.01.164.

Y. Peng dan W. Wei, “Melt temperature dynamic control strategy of injection molding machine based on variable structure control and iterative learning control,” J. Polym. Eng., vol. 31, Nov 2011, doi: 10.1515/POLYENG.2011.094.

G. Wang, Y. Wang, dan D. Yang, “Study on Automotive Back Door Panel Injection Molding Process Simulation and Process Parameter Optimization,” Adv. Mater. Sci. Eng., vol. 2021, hlm. e9996423, Mei 2021, doi: 10.1155/2021/9996423.

T. Zhang, K. Chen, G. Liu, dan X. Zheng, “Injection Molding Process Optimization of Polypropylene using Orthogonal Experiment Method Based on Tensile Strength,” IOP Conf. Ser. Mater. Sci. Eng., vol. 612, no. 3, hlm. 032102, Okt 2019, doi: 10.1088/1757-899X/612/3/032102.

W. Huang, D. Wu, Z. Tasi, dan C. Tsai, “Optimization of Process Parameters in Plastic Injection Mold Simulation for Auto Lock-Parts using Taguchi-Grey Method Based on Multi-Objective,” dipresentasikan pada 2015 International Conference on Structural, Mechanical and Material Engineering, Atlantis Press, Nov 2015, hlm. 52–55. doi: 10.2991/icsmme-15.2015.13.

E. Farotti dan M. Natalini, “Injection molding. Influence of process parameters on mechanical properties of polypropylene polymer. A first study.,” Procedia Struct. Integr., vol. 8, hlm. 256–264, Jan 2018, doi: 10.1016/j.prostr.2017.12.027.

H. Mao, Y. Wang, dan D. Yang, “Study of injection molding process simulation and mold design of automotive back door panel,” J. Mech. Sci. Technol., vol. 36, no. 5, hlm. 2331–2344, Mei 2022, doi: 10.1007/s12206-022-0415-0.

J. Wang, Q. Mao, N. Jiang, dan J. Chen, “Effects of Injection Molding Parameters on Properties of Insert-Injection Molded Polypropylene Single-Polymer Composites,” Polymers, vol. 14, no. 1, Art. no. 1, Jan 2022, doi: 10.3390/polym14010023.

M. Sarah, I. Madinah, dan S. Salamah, “Response Surface Methodology to Optimize Microwave Sterilization of Palm Fruit,” J. Phys. Conf. Ser., vol. 1028, no. 1, hlm. 012004, Jun 2018, doi: 10.1088/1742-6596/1028/1/012004.

S. Bhattacharya, “Central Composite Design for Response Surface Methodology and Its Application in Pharmacy,” 2021, hlm. 1–19. doi: 10.5772/intechopen.95835.

J.-H. Han dan Y.-C. Kim, “Study on Effects of Mold Temperature on the Injection Molded Article,” Arch. Metall. Mater., vol. 62, Jun 2017, doi: 10.1515/amm-2017-0191.

A. D. Anggono, “Prediksi Shrinkage Untuk Menghindari Cacat Produk Pada Plastic Injection,” Media Mesin Maj. Tek. Mesin, vol. 6, no. 2, 2015, doi: 10.23917/mesin.v6i2.2895.

P. T. Devalia dan Arief, “Analisis dan Optimasi Parameter Proses Injeksi Plastik Multi Cavity untuk Meminimalkan Cacat Short Mold,” hlm. 553–560.

A. A. Dzulkipli dan M. Azuddin, “Study of the Effects of Injection Molding Parameter on Weld Line Formation,” Procedia Eng., vol. 184, hlm. 663–672, 2017, doi: 10.1016/j.proeng.2017.04.135.

H. dan H. Indra Mawardi, “Analisis Kualitas Produk dengan Pengaturan Parameter Temperatur Injeksi Material Plastik Polypropylene ( PP ) Pada Proses Injection,” vol. 4, no. 2, hlm. 30–35, 2015.

I. S. Heri Yanto, “Tekanan Injeksi Moulding Terhadap Cacat,” vol. 10, no. 1, hlm. 1–6, 2018.

M. H. Othman, S. Hasan, S. Z. Khamis, M. H. I. Ibrahim, dan S. Y. M. Amin, “Optimisation of Injection Moulding Parameter towards Shrinkage and Warpage for Polypropylene-Nanoclay-Gigantochloa Scortechinii Nanocomposites,” Procedia Eng., vol. 184, hlm. 673–680, 2017, doi: 10.1016/j.proeng.2017.04.137.




DOI: https://doi.org/10.26905/jtmt.v19i2.10021

Refbacks



TRANSMISI

Universitas Merdeka Malang

Mailing Address:

Jalan Terusan Dieng 62-64 Malang, 65146, East Java, Indonesia
Phone: 081333961913 Fax: (0341) 560836
Email: [email protected]