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All Journal Jurnal Techno Bahari RING Mechanical Engineering
Abdul Hamid
Politeknik Negeri Banyuwangi
Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Optimization of Process Parameters and Post-Processing of SLA 3D Printing on the Hardness of Photopolymer Resin Using the Taguchi Method Candra Hadi Prayoga; Abdul Hamid; Prabuditya Bhisma Wisnu Wardhana; Mega Lazuardi Umar; M. Abdul Wahid
RING ME Vol 6 No 1 (2026): RING Mechanical Engineering
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/rme.v6i1.25505

Abstract

The limited availability of plastic components for classic automotive vehicles has encouraged the utilization of stereolithography (SLA) 3D printing technology as an alternative manufacturing method. However, studies regarding the optimization of SLA printing and post-processing parameters on the hardness characteristics of photopolymer resin are still limited. This study aimed to optimize SLA process and post-process parameters to improve resin hardness. The investigated parameters were layer thickness, exposure time, washing time, and curing time. The experimental design employed the Taguchi method with an L9 (3⁴) orthogonal array. Specimens were fabricated using an Anycubic Photon Mono 2 printer ABS-Like Resin Pro 2 material, followed by washing and curing processes according to experimental parameters. Hardness testing was conducted using the Shore D method based on ASTM D2240 standards. The experimental data were analyzed using signal-to-noise (S/N) ratio analysis, analysis of variance (ANOVA), and percentage contribution analysis with Minitab software. The results indicated that layer thickness exhibited the highest contribution ratio (47.24%), followed by exposure time (34.62%) and washing time (14.21%). However, ANOVA results indicated none of the investigated factors were statistically significant at the 95% confidence level (p > 0.05). The optimal parameter combination consisted of 0.20 mm layer thickness, 9 s exposure time, 5 min washing time, and 20 min curing time. Confirmation experiments produced a hardness value of 87.8 Shore D, which was close to the predicted value of 88.0333 Shore D. These findings demonstrate that Taguchi method is effective for determining optimal SLA printing parameters to enhance photopolymer resin hardness.
Analisa Kekuatan Konstruksi Pad Eye Towing Hook Kapal Tugboat 27 Meter Dengan Metode Elemen Hingga Tenario Aruza Mizan; Anggra Fiveriati; M. Abdul Wahid; I Gusti Ngurah Agung Satria Prasetya Dharma Yudha; Abdul Hamid
Techno Bahari Vol. 12 No. 1 (2025): Maret
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v12i1.342

Abstract

Towing hook merupakan alat yang digunakan untuk menghubungkan tali penarik (towing line) atau wire rope dari tugboat ke kapal atau objek yang akan ditarik. Beberapa beban tarik mengakibatkan terjadinya distribusi tegangan yang terjadi pada bagian buritan kapal dan daerah sekitar pad eye towing hook akibat gerakan menarik yang dilakukan kapal, yang dapat menimbulkan banyak masalah seperti deformasi, keretakan, kerusakan, patah dll. Analisa tersebut bertujuan untuk mengetahui nilai equivalent stress, deformation dan safety factor dari konstruksi foundation towing hook kapal tugboat, serta mengetahui letak titik kritis pada tiga variasi bracket towing hook yaitu variasi 1 bracket 100 x 100 x 12, variasi 2 bracket 100 x 100 x 16, dan variasi 3 bracket 100 x 165 x 8. Adapun hasil analisis dan perhitungan variasi 1 nilai equivalent stress sebesar 189,64 Mpa, sedangkan untuk variasi 2 nilai equivalent stress sebesar 183,56 Mpa, dan variasi 3 nilai equivalent stress sebesar 183,38 Mpa. Kriteria dari struktur Pad eye Towing Hook dari hasil simulasi yang didapat yaitu Pad eye Towing Hook dengan variasi ketiga lebih baik untuk digunakan atau dioperasikan dikarenakan nilai dari tegangan maksimum lebih kecil dan tingkat deformasi lebih rendah dibanding variasi 1 dan variasi 2.
Optimasi Parameter Pasca Cetak SLA 3D Printing Terhadap Karakteristik Kekerasan Material Menggunakan Metode Grey Relational Analysis (GRA) Abdul Hamid; Rochmad Eko Prasetyaning Utomo; Ganda Surahman
RING ME Vol 5 No 2 (2025): RING Mechanical Engineering
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/rme.v5i2.24595

Abstract

The demand for durable custom vehicle components requires enhancing the mechanical characteristics of Stereolithography (SLA) materials, which are generally brittle—a gap that must be addressed through post-processing optimization. This study aims to identify the optimal post-processing parameter combinations to maximize the hardness of SLA resin using the Grey Relational Analysis (GRA) method. The experimental design followed a Taguchi L9 orthogonal array, testing four factors Washing Time, Curing Time, Annealing Time, and Annealing Temperature at three levels each, with Shore D hardness as the quality response. The results demonstrated a significant increase in hardness from a baseline of 79.2 Shore D to 82.5 Shore D under optimal conditions. The GRA identified the combination of 15 min Washing Time, 25 min Curing Time, 30 min Annealing Time, and 80°C Annealing Temperature as the optimum setting, resulting in a 16.4% improvement in the Grey Relational Grade (GRG) compared to the experimental mean. ANOVA results confirmed that Washing Time (50.79% contribution, P=0.028) and Annealing Time (41.49% contribution, P=0.034) were the most significant factors (P < 0.05) influencing hardness variation. Conversely, Curing Time was found to be insignificant (P=0.189), suggesting that 15 minutes is sufficient, while residual monomer removal and thermal stress relief during annealing are more critical. Overall, this study concludes that enhancing SLA material hardness depends heavily on thorough cleaning and controlled heat treatment.
Co-Authors Anggra Fiveriati Candra Hadi Prayoga Ganda Surahman I Gusti Ngurah Agung Satria Prasetya Dharma Yudha M. Abdul Wahid Mega Lazuardi Umar Rochmad Eko Prasetyaning Utomo Tenario Aruza Mizan Wisnu Wardhana, Prabuditya Bhisma