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Fadillah, Faqih
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Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Effect of Addition Titanium Dioxide Nanoparticle on Properties of Pineapple Leaf Fiber Mediated TEMPO Oxidation Oxidation Ikrom, Muhamad; Suryanto, Heru; Fikri, Ahmad Atif; Aminnudin, Aminnudin; Maulana, Jibril; Fadillah, Faqih; Mito, Mohamed T; Masera, Kemal
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um0168i12024p082

Abstract

Indonesia is an agricultural country with the potential to grow many plants as natural fiber sources. In order to improve its properties, natural fiber needs to be treated by applying nanomaterial so that it can compete with the characteristics of synthetic fibers. The study aims to determine the influence of adding titanium dioxide (TiO2) nanoparticles on pineapple leaf fiber (PALF) characteristics. The PALF was collected from the Subang plantation (Indonesia). The chemical treatment was carried out with pre-treatment using an alkalization process for 3 hours, and the oxidation process was carried out with TEMPO. TiO2 nanoparticle grafting was carried out by adding a silane solution with a ratio of 1:10 with alcohol. The characteristics of PALF were observed using XRD, FTIR, SEM, and tensile tests. The results show that the crystallinity of the PALF increased after TEMPO treatment. PALF form Si-O-C bond identified at a wavelength of 1158 cm-1 after silane treatment. Ti – O – Si functional groups were identified in the 660 cm-1 – 670 cm-1 wavelength range. In the fiber surface, agglomerated TiO2 nanoparticles are formed and increase with increasing TiO2 nanoparticle concentration. The tensile stress of treated PALF is increased by 125%, with the highest tensile strength of 1279.18 MPa, obtained by TiO2 nanoparticle concentration of 1.0%.
Study on Effect of 3D Printing Parameters on Surface Roughness and Tensile Strength Using Analysis of Variance Fadillah, Faqih; Suryanto, Heru; Suprayitno, Suprayitno
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 7, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v7i22023p096

Abstract

Fused deposition modeling of 3D printing is the process of making workpieces or parts by adding filaments to each layer. Some indicators of a high-quality product of 3D printing are the precisions dimensions, the surface roughness, and tensile strength. This research aims to find the parameters most affecting surface roughness and tensile strength. The research design used an experimental method with input parameters: (1) print speed (15-35 mm/s), (2) print temperature (200-210°C), (3) layer height (0.1 – 0.3 mm), (4) infill line directions (0-90°), and dependent variables were surface roughness and tensile strength. The data distribution used the L9 orthogonal array, and the statistic analysis used ANOVA. Material uses nanographite-reinforced polylactic acid (PLA) filament. The results indicate that print parameters that significantly affect surface roughness are layer height and infill line directions. The best surface roughness on the layer height parameter is 0.1 mm, and the infill line directions parameter is 90°. Based on ANOVA analysis, print speed, print temperature, and layer height do not significantly affect tensile strength, but infill line directions significantly affect tensile strength. The best tensile strength on infill line directions is 90°. The best average tensile strength with nanographite-reinforced PLA filament is 38.56 N/mm2, with 35 m/s print speed, 205 °C print temperature, 0.1 mm layer height, and 90° infill line direction parameter. The best average surface roughness with nanographite-reinforced PLA filament is 0.66 µm, with 35 m/s print speed, 205 °C print temperature, 0.1 mm layer height, and 90° infill line direction parameter.
Co-Authors Ahmad Atif Fikri, Ahmad Atif Aminnudin, Aminnudin Heru Suryanto Ikrom, Muhamad Masera, Kemal Maulana, Jibril Mito, Mohamed T Suprayitno Suprayitno