OPTIMASI MULTI PARAMETER MESIN 3D PRINTER FDM UNTUK MATERIAL THERMOPLASTIC POLYURETHANE GUNA MENGHASILKAN ERROR DIMENSI TERKECIL MENGGUNAKAN METODE 2K FACTORIAL DESIGN

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Diterbitkan: Mei 14, 2024
DOI: https://doi.org/10.24912/jitiuntar.v12i1.27105

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Hudan Ahmad Latif
Program Studi Teknik Industri, Universitas Jenderal Achmad Yani Yogyakarta
Ibnu Abdul Rosid
Program Studi Teknik Industri, Universitas Jenderal Achmad Yani Yogyakarta
Grita Supriyanto Dewi
Program Studi Teknik Industri, Universitas Jenderal Achmad Yani Yogyakarta
Maria Gratiana Dian Jatiningsih
Program Studi Teknik Industri, Universitas Jenderal Achmad Yani Yogyakarta

Abstrak

Fused Deposition Modeling or FDM is a 3D printing technology that is commonly used in manufacturing processes based on Additive Manufacturing Technology. One of the materials that can be used on FDM machines is thermoplastic polyurethane (TPU). One measure of the quality of printed results is the machine's accuracy in producing workpieces that have the smallest possible dimensional error. So this research aims to obtain the printing parameters that have the most influence on print results and find out the optimal combination of printing process parameters on the machine to produce the smallest dimensional error for TPU material. The design of experiment method used is 2k factorial design using 4 process parameters, 2 levels and 3 responses. The parameters used are nozzle temperature, print speed, fill density, and enclosure box. The optimization results obtained an optimal combination of printing process parameters to produce the smallest dimensional error, namely nozzle temperature of 210°C, print speed of 30 mm/s, fill density of 100%, and not using an enclosure box.

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Vol 12 No 1 (2024): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
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Referensi

I. Akbar, Z.S. Suzen, and Idiar, “Analisis Proses 3D Printing terhadap Pengujian Impak Metode Charpy Pada Material PLA+,” J. Syntax Admiration, vol. 2, no. 8, pp. 1480–1493, 2021, doi: 10.46799/jsa.v2i8.297.

I.A. Rosid and A.E. Tontowi, “Parameter Optimization of Customized FDM 3D Printer Machine for Biocomposite Material [Sago/PMMA] Using 2k Fractional Factorial Design,” Opsi, vol. 14, no. 2, p. 188, 2021, doi: 10.31315/opsi.v14i2.5352.

W.H. Pratama, Hasdiansah, and Husman, “Optimasi Parameter Proses 3D Printing Terhadap Kuat Tarik Material Filamen PLA + Menggunakan Metode Taguchi,” Sprocket J. Mech. Eng., vol. 3, no. 1, pp. 39–45, 2021, doi: 10.36655/sprocket.v3i1.568.

A.W. Nugroho, D. Tohidin, and C. Budiyantoro, “Analisis pengaruh parameter proses terhadap kuat tarik produk 3D Printing dari bahan Polyvinyl Alcohol (PVA),” vol. 9, no. 2, pp. 154–161, 2020.

P. Ferretti et al., “Application of TPU-sourced 3d printed FDM organs for improving the realism in surgical planning and training,” in Proceedings of the International Conference on Industrial Engineering and Operations Management, 2021, pp. 6658–6669.

M. Mrówka, M. Szymiczek, and J. Lenża, “Thermoplastic Polyurethanes for Mining Application Processing by 3D Printing,” J. Achiev. Mater. Manuf. Eng., vol. 95, no. 1, pp. 13–19, 2019, doi: 10.5604/01.3001.0013.7620.

A.A. Setiawan, “Optimasi Parameter 3D Printing Terhadap Keakuratan Dimensi dan Kekasaran Permukaan Produk Menggunakan Metode Taguchi Grey Relational Analysis,” Proc. Conf. Des. Manuf. Eng. its Appl. Progr., no. 2654, pp. 1–5, 2018.

K. Sharma, K. Kumar, K.R. Singh, and M.S. Rawat, “Optimization of FDM 3D Printing Process Parameters using Taguchi Technique,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1168, no. 1, p. 012022, 2021, doi: 10.1088/1757-899x/1168/1/012022.

S.C. Nwafo, S.A. Oke, and C.A. Ayanladun, “Factor Analysis Approach-Taguchi-Pareto Method to Casting A356 Alloy Composite for Lightweight Wheel Rim Cover of Vehicles,” J. Keilmuan Tek. dan Manaj. Ind., vol. 10, no. 1, pp. 31–47, 2022, doi: https://doi.org/10.24912/jitiuntar.v10i1.9407.

D.C. Montgomery, Introduction To Statistical Quality Control., Sixth. Missouri: Wiley, 2009.

A.N.Y. Pettalolo, I.A. Rosid, and A.E. Tontowi, “Pengembangan Material Reusable Concrete untuk 3DP Building,” in Conference SENATIK STT Adisutjipto Yogyakarta, 2020, vol. 6, pp. 59–66. doi: 10.28989/senatik.v6i0.414.

A. Ahmad, L.L. Salomon, and J. Jessica, “Desain Eksperimen untuk Meningkatkan Kualitas Kekuatan Produk dengan Pendekatan Analisis Desain Faktorial,” J. Ilm. Tek. Ind., vol. 6, no. 3, pp. 209–220, 2019, doi: 10.24912/jitiuntar.v6i3.4247.

D.C. Montgomery, Design and Analysis of Experiments, 9th ed. Wiley, 2017.

L.L. Salomon, W. Kosasih, and S.O. Angkasa, "Perancangan Eksperimen untuk Meningkatkan Kualitas Ketangguhan Material dengan Pendekatan Analisis General Faktorial Design (Studi Kasus: Produk Solid Surface)," Jurnal Rekayasa Sistem Industri, vol. 4, no. 1, pp. 20-26, 2015.

Hasdiansah and Herianto, “Pengaruh Parameter Proses 3D Printing Terhadap Elastisitas Produk yang Dihasilkan,” Semin. Nas. Inov. Teknol. UN PGRI Kediri, pp. 187–192, 2018.

M. Christiliana, Pristiansyah, and Y. Oktriadi, “Optimasi Parameter Proses pada 3D Printing FDM Terhadap Akurasi Dimensi Filament PLA Food Grade,” Manutech J. Teknol. Manufaktur, vol. 13, no. 01, pp. 0–8, 2021.

K. Singh, “Experimental study to prevent the warping of 3D models in fused deposition modeling,” Int. J. Plast. Technol., 2018, doi: 10.1007/s12588-018-9206-y.