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The impact of nozzle temperature on the shrinkage of annealed 3D printed PLA Sugianto Sugianto; Meriatun Meriatun; Pristiansyah Pristiansyah; Ramli Ramli; Atikah Araminta Wardiyah; Hasdiansah Hasdiansah; Herianto Herianto
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8196

Abstract

Thermal annealing is used to strengthen the mechanical performance and thermal stability of fused deposition modeling (FDM) parts made from polylactic acid (PLA). This treatment frequently introduces dimensional shrinkage, compromising geometric accuracy and limiting the reliability of printed components in demanding applications. Among the printing parameters, nozzle temperature is a key variable because it influences melting behavior, interlayer diffusion, and the buildup of internal stresses, yet its role in managing shrinkage after annealing has not been clearly established. This study evaluates the influence of nozzle temperature on the anisotropic shrinkage of annealed PLA specimens across different specimen lengths and measurement directions (X and Y), with the main analysis conducted at selected nozzle temperatures ranged 195-230°C. Dimensional changes were quantified before and after annealing at 100°C for 60 min, and statistical evaluation was performed using analysis of variance (ANOVA) with post-hoc testing based on replicated specimens. The results confirm nozzle temperature as a significant contributor to shrinkage behavior, F (2,36) = 30.90, p 0.001, partial η²=0.63. Printing at 230°C consistently yielded the smallest dimensional reduction, outperforming both 210°C and 220°C. Within the examined range, 230°C emerges as the most effective nozzle setting for minimizing annealing-induced shrinkage, offering a practical processing window to improve dimensional accuracy and functional reliability in FDM-printed PLA parts.
Experimental evaluation of static thrust performance of an FDM-printed TPU 95A waterjet thruster Hasdiansah Hasdiansah; Herianto Herianto; Masdani Masdani; Ramli Ramli; Dafi Bazilah; Muhammad Haritsah Amrullah; Zaldy Sirwansyah Suzen; Muhamad Riva'i; Idiar Idiar; Muhammad Subhan
Jurnal Polimesin Vol 24, No 4 (2026): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i4.9048

Abstract

Waterjet propulsion systems manufactured by Additive Manufacturing (AM) offer potential advantages for lightweight marine applications, but experimental data on the static thrust performance of polymer-based waterjet thrusters remain limited. This study presents an experimental investigation of the static thrust performance of a waterjet thruster fabricated from Thermoplastic Polyurethane (TPU 95A) using Fused Filament Fabrication (FFF). Static thrust was measured at rotational speeds of 1500, 3000, 4500, 6000, 7500, and 9000 rpm using a 13 hp internal combustion engine. The results showed a consistent increase in static thrust with rotational speed, from 20 N at 1500 rpm to a maximum of 170 N at 9000 rpm. However, the increase in thrust became less proportional at higher rotational speeds, indicating increasing hydraulic and mechanical losses. These losses may be associated with flow separation, turbulence, tip leakage, and elastic deformation of the TPU impeller under hydrodynamic and centrifugal loading. Despite this behavior, there is not any abrupt thrust fluctuations were observed throughout the tested operating range, indicating stable static thrust generation. The maximum thrust of 170 N demonstrates the capability of the FDM-printed TPU 95A thruster to generate measurable propulsion force under static conditions. The results provide experimental reference data for the development and optimization of additively manufactured waterjet thrusters for small-scale marine propulsion applications.
PENERAPAN PREDICTIVE MAINTENANCE UNTUK MENDETEKSI CACAT RODA GIGI LEBIH DINI Terkisah Alif Rizky; Wahyu Dirgantara; Ariyanto Ariyanto; Ramli Ramli
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Gear transmission systems are critical components in industrial machinery that are susceptible to degradation due to continuous operational loads. Early detection of gear damage is essential to prevent catastrophic failure and minimize production downtime. This study aims to implement a predictive maintenance system based on vibration analysis and machine learning to detect and classify the conditions of spur gears and helical gears. The damage scenarios tested include wear, normal operating conditions, and structural damage such as chipping or fractures. Vibration data were acquired using a triaxial accelerometer on a gearbox test rig.