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Jurnal Polimesin
Published by Politeknik Negeri Lhokseumawe
ISSN : 16935462     EISSN : 25491199     DOI : http://dx.doi.org/10.30811/jpl
Core Subject : Science, Engineering,
Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering
Polimesin mostly publishes studies in the core areas of mechanical engineering, such as energy conversion, machine and mechanism design, and manufacturing technology. As science and technology develop rapidly in combination with other disciplines such as electrical, Polimesin also adapts to new facts by accepting manuscripts in mechatronics. In Biomechanics, Mechanical study in musculoskeletal and bio-tissue has been widely recognized to help better life quality for disabled people and physical rehabilitation work. Such a wide range of Polimesin could be published, but it still has criteria to apply mechanical systems and principles. Exceeding the limitation has been a common reason for rejection by those outside the scope. Using chemical principles more than mechanical ones in material engineering has been a common reason for rejection after submission. Excessive exploration of the management within the discipline of Industrial Engineering in the manufacturing technology scope is also unacceptable. The sub-scope biomechanics that focuses on ergonomics and does not study movement involving applied force on the bio-tissue is also not suitable for submission.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 611 Documents
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Engineering of bamboo fiber and glass fiber composites with B₄C filler for fire-resistant structural material applications Andika Rafi Ryansyah; Andoko Andoko; Riduwan Prasetya
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8887

Abstract

The increasing demand for lightweight, high-strength, and fire-resistant materials has driven the development of hybrid epoxy composites reinforced with bamboo fibre (SB) and glass fibre (SK), incorporating boron carbide (B₄C) as a functional filler. This study investigates the effects of composition and B₄C content on the physical, mechanical, and fire-resistant properties of hybrid epoxy composites. Four formulations (100E, 70E30SB, 70E30SK, and 70E15SB15SK) were prepared with B₄C contents of 0, 2.5, and 5 wt%. The composites were evaluated for density, tensile strength, elongation, impact strength, Shore-D hardness, and fire resistance (limiting oxygen index (LOI), char yield, and burning rate). The results show that density increases with increasing B₄C content. A filler content of 2.5 wt% provides the most consistent improvement in mechanical properties, with the highest tensile strength observed in the 70E30SK composite (317 MPa). However, increasing the B₄C content to 5 wt% reduces several mechanical properties due to particle agglomeration. In the Shore-D hardness test, an increase is observed in 70E30SB, while 70E30SK and 70E15SB15SK decrease at 2.5 wt% B₄C before increasing again at 5 wt%. In impact testing, 70E30SK shows the highest toughness without B₄C, whereas 70E30SB and 70E15SB15SK improve at 5 wt% B₄C. In terms of flammability, B₄C increases the LOI and reduces the burning rate, particularly in glass fibre-rich composites, although changes in char yield are not always significant. Overall, B₄C improves fire resistance and can enhance mechanical performance when dispersed under optimal conditions.
Load cell-based measurement of compression spring constants in series and parallel configurations Meri Rahmi; Yuliar Yasin Erlangga; Aida Mahmudah; Rofan Yulian Romansyah
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8738

Abstract

Selecting appropriate springs is a critical factor in press tool construction, as incorrect selection compromises performance, safety, and production efficiency. This study investigates the elastic behavior of Misumi standard compression springs by measuring force and spring constant using a 100 kg-capacity load cell integrated into a custom spring tester. Experiments were conducted on four spring types (SWF, SWL, SWM, SWH) in single, series, and parallel configurations. This study experimentally investigates the elastic behavior of Misumi standard compression springs bymeasuring force and spring constant using a 100 kg-capacity load cell integrated into a custom spring tester. Results show that the parallel configuration increases the total spring constant proportionally with the number of springs (e.g., four SWF-60-100 springs in parallel yield a combined reaction force of 27.1 kg/10 mm, approximately 4.2 times the single-spring value of 6.4 kg/10 mm), while the series configuration reduces the constant due to the greater cumulative deflection. The load cell method demonstrated superior accuracy over manual methods, with spring-length deviations from Misumi catalog values ranging from 0% to 4.8%, confirming consistency with manufacturing tolerances. Spring constant values computed from load cell readings deviated by less than 5% from values estimated using Hooke's law. This study provides quantitative evidence supporting the use of load-cell-based testing in spring selection for press tool applications.
Effect of hardening holding time and tempering duration on the microstructure and hardness of CHQ 10B21 wire Melya D. Sebayang; Kimar Turnip
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8473

Abstract

Heat treatment parameters play an important role in controlling the mechanical properties and microstructure of bolt materials. The research was conducted on the production of bolts produced from raw material wire CHQ 10B21. This study aims to evaluate the effect of hardening holding time and tempering duration on the hardness, tensile strength, and microstructure of CHQ 10B21 wire used for bolt production. The material was heated at 870°C with varying holding times, followed by oil quenching and tempering at 480°C with different tempering durations. Hardness testing was evaluated based on the HES D3211-99A standard with a target range of 22–32 HRC, while metallographic observations were conducted using sequential grinding and polishing. The results showed a direct relationship between holding time, tempering duration, and material properties. Longer hardening holding time increased hardness, with the highest value of 29 HRC obtained at 60 minutes, compared with 14 HRC in the raw material. Increasing tempering time improved tensile strength, reaching 891.91 N/mm² at 75 minutes after 60 minutes of hardening. Microstructural analysis showed the formation of tempered martensite and tempered bainite, with more homogeneous phase distribution at longer heat-treatment durations. These findings indicate that the optimal heat treatment condition for CHQ 10B21 bolt production is 60 minutes hardening followed by 75 minutes tempering.
Development and validation of a modified TM25 journal bearing test equipment for load-carrying capacity and frictional torque measurement Nurcahya Nugraha; Jamiatul Akmal; Martinus Martinus; Ahmad Su'udi; Rizal Nazarrudin; Eko Wahyu Saputra; Wahyu Adani; Fauzan Azima
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8490

Abstract

This study developed and validated a low-cost measurement platform by upgrading an existing TM25 journal bearing demonstration unit. The original apparatus was limited to pressure distribution observation through manometer tubes, whereas the modified system integrated load cells and an Arduino-based data acquisition system to measure load-carrying capacity and frictional torque in real time. Load cell calibration was conducted using an eight-point dead-weight method with three repetitions, resulting in a calibration deviation of less than 2% across the test range. Experimental testing was performed at five rotational speeds (1000–2000 rpm) using three lubricant grades (SAE 10W-30, SAE 10W-40, and SAE 20W-50) to evaluate their influence on bearing performance. The results show that both load-carrying capacity and frictional torque increase with rotational speed and lubricant viscosity, with the highest values obtained using SAE 20W-50. The measured trends agree well with the original TM25 pressure distribution data and are consistent with hydrodynamic lubrication theory. The modified test equipment provides stable and repeatable measurements and extends the functionality of the TM25 unit as an experimental platform for tribology education and journal bearing performance analysis.
Multimodal vehicle security system based on internet of things: integration of fingerprint authentication, face recognition, and GPS tracking Dodik Wahyu Wiratama; Muhammad Iman Nur Hakim; Helmi Wibowo; Arief Novianto
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.9032

Abstract

The surge in vehicle theft in Indonesia has exposed the weaknesses of conventional security systems such as mechanical keys and immobilizers. This study aims to develop an IoT-based vehicle security system integrating fingerprint authentication, facial recognition, and GPS tracking, and evaluates its performance quantitatively. The system was tested on a Toyota Avanza with six users. Facial recognition used a MobileNetV2 CNN model trained with 1,200 local images across four classes (registered, unregistered, masked, and sunglasses) using a learning rate of 0.001, batch size of 32, and 50 epochs. Fingerprint authentication employed minutiae extraction with Euclidean distance matching. The system successfully implemented two-factor authentication. Facial recognition achieved an accuracy of 94.2%, with a False Acceptance Rate (FAR) of 2.1% and a False Rejection Rate (FRR) of 3.7%. Fingerprint authentication reached 91.5% accuracy, with FAR of 4.3% and FRR of 4.2% under dry finger conditions, while FRR increased to 18.5% for scratched fingers. The system detected unregistered users and triggered engine shutdown while sending photos and GPS coordinates through Telegram. GPS tracking achieved 99.3% positional accuracy. The results demonstrate the feasibility of multimodal IoT-based vehicle security, although performance remains sensitive to lighting conditions, face coverings, and finger surface conditions.
Detection and root cause analysis of minor tread defects in tire manufacturing using optical laser profilometry and fault tree analysis Arwan Suwandoyo; Daisman Purnomo Bayyu Aji
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8903

Abstract

Tire tread quality plays an important role in tire performance, safety, and service life. Minor tread defects, characterized by local surface irregularities and thickness deviations, remain a common challenge in tire manufacturing due to their impact on dimensional consistency. This study presents a method for detecting minor thread defects using a non-contact optical laser profilometer, with a measurement accuracy of 0.1 mm, to obtain high-resolution tread surface profile mapping. The purpose of this study is to address the issue of minor tread defects by integrating a non-contact optical laser profilometer with Fault Tree Analysis (FTA). After improvements to the method, the results show that the average percentage of defects can be reduced from an average of 0.07% to an average of 0.03%. The factor causing severe tread defects is the material with a small volume in the tread thickness. In tread measurement, laser triangulation technology generates contour data without physical contact, preventing deformation and enabling measurements of elastic materials. The scanned data were processed using a contour-extraction algorithm and geometric deviation analysis to identify anomalies, such as variations in tire tread depth. Experimental results showed a thickness deviation of −0.69 mm at a width of 15 mm, exceeding the permissible tolerance limit of +0.3 mm, indicating a condition significantly outside the specifications or standards for the tire tread material. The measurement system demonstrated high repeatability and sensitivity in detecting local surface deviations that could not be identified through visual inspection. Furthermore, integrating the optical laser profilometer with FTA enabled the systematic identification of the root cause of the defect, traced to a dimensional mismatch in the tire tread extrusion die. The implementation results could reduce or decrease light tread defects and the total percentage of light tread defects in tires.
Integrating mechanical testing and finite element analysis for failure risk prediction in Ti-6Al-4V parts produced by laser powder bed fusion Franka Hendra Sukma; Riki Effendi; Supriyono Supriyono
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8905

Abstract

Additive Manufacturing (AM), particularly Laser Powder Bed Fusion (L-PBF), has become increasingly important for producing components in critical industries such as aerospace, automotive, and medical devices. However, predicting the failure risk of these components, especially due to fatigue, remains a challenge due to the variability in material properties and process-induced defects such as porosity. This research aims to develop a predictive model to assess the failure risk of components produced through Additive Manufacturing, with a focus on integrating mechanical testing data and Finite Element Analysis (FEA) simulations to predict the fatigue life and the associated risk of failure. The study utilizes an experimental-computational approach, incorporating mechanical testing for tensile strength, fatigue testing, and microstructural analysis to gather data on material properties and defects. These data are then combined with FEA simulations to create a predictive model using multiple regression analysis. The model's accuracy is validated through k-fold cross-validation (k=5), with performance metrics including R² and RMSE. The results demonstrate that the model successfully predicts the failure risk of AM components, with R² values near 0.95 and RMSE values indicating high accuracy in predicting fatigue life. The model also highlights the significant influence of porosity and stress concentration on fatigue failure, providing valuable insights into the optimization of AM process parameters to improve component durability.
Optimizing maintenance scheduling of water distribution pumps using Reliability Centered Maintenance (RCM) Achmad Muhazir; Mohammad Adam Jerusalem
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8983

Abstract

Water distribution pump systems are critical assets in public utility services, where failures can directly disrupt service continuity and increase operational costs. Empirical evidence from water utility operations indicates that conventional maintenance strategies are often unable to effectively control downtime and reliability degradation. This study aims to analyze maintenance scheduling for water distribution pumps using the Reliability Centered Maintenance (RCM) approach to improve system reliability and availability. A quantitative case study was conducted at a regional water utility company using one-year historical operational and maintenance data from January to December 2025. The research methodology integrates Pareto analysis to identify critical assets, Failure Mode and Effect Analysis (FMEA) to prioritize dominant failure modes, and reliability analysis based on the Weibull distribution to estimate Mean Time To Failure (MTTF) and Mean Time To Repair (MTTR). The RCM Decision Worksheet was applied to determine appropriate maintenance actions and optimal preventive replacement intervals. The results show that the distribution pump is the most critical asset, contributing the highest downtime (620 hours per year across 11 failures), with an MTTF of 1,683 hours and an MTTR of 4.74 hours. The optimal preventive replacement interval was identified at 1,450 operating hours, reducing annual downtime to 127.1 hours (79.5% reduction) and increasing system availability to 99.793%. These findings confirm that RCM-based maintenance scheduling significantly enhances reliability, availability, and operational performance of water distribution pump systems, providing practical guidance for maintenance optimization in water utility industries.
Effect of GTAW current variation on the mechanical properties and microstructure of Al-6061/Al-7075 dissimilar welds Surya Dharma; Rahmawaty Rahmawaty; Rihat Sebayang; Yetti Meuthia Hasibuan; Syita Nabila Tazkia
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.8501

Abstract

Aluminum and its alloys serve as foundational materials in the manufacturing industry, particularly in the aerospace, marine, and automotive sectors. While dissimilar welding is one of aluminum alloys’ most widely used joining techniques. This study assesses the impact of different welding currents (140 A, 150 A, and 160 A) on the Gas Tungsten Arc Welding (GTAW) of dissimilar Al-6061 and Al-7075 in terms of the mechanical properties (tensile strength and hardness) and microstructure of the welds. Tensile testing showed that a maximum tensile strength of 42.83 N/mm² was recorded at a welding current of 160 A, while a minimum strength of 22.66 N/mm² was seen at 140 A. All tensile specimens exhibiting failure also showed complete fracture within the weld zone, which suggests that the weld region is the predominant failure location. Vickers microhardness testing indicated the Al-6061 base material exhibited the most excellent hardness of 111.2 VHN (160 A) and decreased in the Heat-Affected Zone (HAZ) to 54.7 VHN in the weld metal. Moreover, hardness values averaged higher at 150 A compared to 140 A and 160 A. Microstructural examination at 500× revealed two main constituents in the weld joint: an aluminum solid solution (white) and the Mg2Si compound (black), which plays a significant role in the mechanical properties of the weld. The result of the study demonstrates the importance of adjusting welding parameters, particularly current strength, to attain the desired mechanical properties and ensure the structural integrity of various welded aluminum alloys.
Remaining useful life prediction of railway wheelsets using a composite wear index under sparse monitoring data Agustinus Winarno; Ahmad Fauzan Karnadi; Herjuno Rizki Priatomo; Slamet Afif Mansuri; Rioko Aji; Sudianto Sudianto; Miming Kuncoro
Jurnal Polimesin Vol 24, No 3 (2026): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i3.9078

Abstract

Accurate prediction of the Remaining Useful Life (RUL) of railway wheelsets is important for operational safety and efficient maintenance planning. This study proposes a physics-informed composite wear index integrating wheel diameter and flange wear and validates it against field operational data. The composite index, W=f(D)∘f(L), combines diameter wear and flange wear through a reprofiling coefficient k, representing diameter reduction per unit flange restoration. Using machining records from a 60-wagon freight train operated by PT Kereta Api Indonesia (1,791 monthly records over 3 years), the field-based median k was estimated at 2.75 mm/mm for the train set and 3.00 mm/mm fleet-wide. The selected modelling value of k = 3.2 mm/mm lies near the upper range of field observations and provides a conservative approximation. Applied to the operational dataset, the index successfully tracked coupled wear progression, showing that 62% of wagons had exceeded the midlife threshold (W ≥ 0.50). A deterministic benchmark using 201 observations across five reprofiling cycles was used to compare five machine-learning models under 30–60% monitoring densities. Linear regression achieved the lowest error (R² ≈ 1.000), while gradient boosting showed the most reliable non-linear performance. The results support the proposed composite wear index as a practical basis for wheelset RUL estimation under limited monitoring data.

Page 60 of 62 | Total Record : 611

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