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Politeknik Negeri Semarang, Indonesia
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INDONESIA
Jurnal Rekayasa Mesin
Published by Politeknik Negeri Semarang
ISSN : 14116863     EISSN : 25407678     DOI : -
Core Subject : Engineering,
Mechanical Engineering
Rekayasa Mesin(d/h MANDEGANI) diterbitkan sejak 1997, dengan frekuensi 3 kali setahun. Misi : media komunikasi bagi dosen, praktisi, dan ilmuwan tentang karya ilmiah (scientific article) hasil-hasil penelitian, survei, studi kasus dan telaah pustaka yang erat hubungannya dengan teknik mesin, meliputi topik/tema seperti perancangan mesin, instalasi, perawatan & perbaikan mesin, bahan konstruksi & komponen mesin, teknik pengerjaan logam, pembuatan komponen mesi n, pengujian bahan dan komponen mesin, teknik pengukuran & kontrol kualitas proses/produk industri manufaktur, manajemen & teknik produksi industri manufaktur, pembentukan dan pengembangan desain produk, aplikasi komputer dalam sistem kendali & operasi mesin, mesin-mesin kalor & fluida, sistem pembangkitan energi, mesin pendingin & pengkondisian udara, pembangkitan energi alternatif & terbarukan.
Arjuna Subject : -
Articles 478 Documents
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Evaluation of a Nylon 3D-Printed Wrist Splint Through Finite Element Analysis (FEA) and User-Based Assessment Pratama, Juan; Anggara, Ardhito Yogie; Saputra, Ganang Arya; Sugiyanto, Didik; As'yari
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7126

Abstract

A wrist splint is a medical assistive device designed to limit wrist movement and provide structural support during post-operative rehabilitation. This study investigates the applicability of 3D printing technology for the fabrication of a customized wrist splint. Finite element analysis (FEA) was carried out to evaluate the mechanical performance of a nylon-based 3D-printed wrist splint, while a user assessment involving ten respondents was conducted to compare the 3D-printed prototype with the commercially available alternatives. The analysis revealed that the 3D-printed nylon splint could sustain loads well above the maximum force generated by human muscles, with normal and von-Mises stresses representing only 5.25% and 7.9% of the material’s ultimate tensile strength (UTS), and maximum flexural stress corresponding to merely 1.4% of its ultimate flexural strength (UFS). Based on user assessment, the 3D-printed splint outperformed commercial ones in terms of lightness, comfort, functionality, and stiffness, though it was less favorable in price and ease of use. Additionally, the findings indicate that the nylon-based 3D-printed wrist splint adequately satisfies the fundamental functional requirements of a wrist support device. Eventually, the results affirm the significant potential of 3D printing technology as a reliable and customizable manufacturing approach for wrist splint application.
Design of Jominy Hardenability Testing Equipment in Accordance with ASTM A255 Standard Muhammad Isdy, Rizky; Listyanda, R. Faiz; Kussuma Hadi Sufyan, M. Fendy; Tafga Arfanindita, Her; Taufik, Ikhwan
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7149

Abstract

This study discusses the design and development of a Jominy Hardenability Test apparatus based on the ASTM A255 standard, which is used to determine the hardenability of metallic materials, particularly steel. The purpose of this research is to produce a Jominy testing device that meets standard specifications, perform structural analysis using CAD Software, and evaluate the functional performance of the manufactured tool. The research method consists of several stages, including 3D design using CAD Software, structural analysis simulation with the Finite Element Analysis (FEA) method covering von Mises stress, displacement, and safety factor, followed by the manufacturing process according to the design results. The simulation results show a maximum stress of 2.039 × 106 N/m², a maximum displacement of 5.8 × 10⁻¹ mm, and a safety factor value of 2.6, indicating that the design is structurally safe for production. The manufacturing process uses galvanized as the frame, body material and includes an additional cooling fan to maintain water temperature stability during the quenching process. The functional test results show that the tool can perform quenching effectively, producing a maximum hardness value of 370 VHN and a minimum value of 280 VHN on the steel specimen. This research is expected to contribute as a reference for the development of economical, efficient, and standard ASTM A255 compliant Jominy testing equipment for researh and development.
Performance Test of Airbus A380-like using GAMA Water Tunnel and Numerical Approach Syafria Wildan Hadi; Fauzun; Ata Syifa' Nugraha; Feri Hidayatulloh; Hijriawan, Miftah
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7159

Abstract

This study investigates the aerodynamic characteristics of the Airbus A380 model using a combination of water tunnel experimentation and Computational Fluid Dynamics (CFD) analysis. The research aims to analyze the relationship between the angle of attack (AOA) and the resulting lift and drag coefficients, providing insights into aerodynamic performance at low-speed flow conditions. Experiments were conducted using the GAMA Water Tunnel with a 1:416 scaled model of the A380. Lift and drag forces were measured using a load-cell sensor connected to an Arduino microcontroller, while CFD simulations were performed using Computational Fluid Dynamics (CFD) with the k–ω SST turbulence model. The simulation and experimental results were compared to validate the numerical approach. The findings show that both lift and drag coefficients increase with AOA up to a critical point, beyond which stall occurs at approximately 14°. The CFD results closely align with the experimental data, demonstrating strong agreement between the two methods. This research validates the reliability of water tunnel testing for aerodynamic studies and contributes to the development of cost-effective experimental methodologies for aircraft performance evaluation.
Optimization of Surface Roughness in CNC Turning of SS 304 Stainless Steel Using Respon Surface Methodology Aiwa, Toto; Husman; Zaldy Kurniawan
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7169

Abstract

Surface roughness is one of the important indicators in assessing machining results, especially in stainless steel (SS 304). This study aims to determine the influence of machining parameters, namely spindle speed, feeding speed, and feeding depth on the surface roughness of stainless steel material (SS 304) in the turning process using the mori seiki sl-25 CNC machine. The research was conducted using the Response Surface Methodology (RSM) method and the experimental design of Box-Behnken Design (BBD) to obtain the best combination of parameters. Previous research has only examined two variables separately without considering the feed rate at the same time. The results of this study show that among the 3 factor variables, only one factor, namely the speed of interpretation that can reject Ho with a value of f calculated as 4.79>4.77, which means that the speed of interpretation has a significant influence on the degree of roughness compared to other variables.  
Performance Enhancement of 2D CNN-Based Visual Inspection Using Data Augmentation for Defect Classification in Metal Casting Products Imaduddien Ariefa; Hutomo Jiwo Satrio; Della Kumalaningrum; Rieky Handoko; Anton Harseno; Fariz Wisda Nugraha
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7170

Abstract

Deep learning-based automated visual inspection has become increasingly important for reducing the subjectivity and mistakes that come with manual inspection.  However, when the image dataset is small, Convolutional Neural Networks (CNN) often do not perform optimally because the model overfits and fails to generalize effectivelyl.  This study investigates the effect of data augmentation on enhancing the performance of an AlexNet-based CNN model for classifying defect and non-defect casting images.  There were 13266 grayscale images in total, and they were divided into two groups: defect and non-defect.  To increase data variability, several augmentation techniques were used, such as rotation, flipping, zooming, and brightness adjustment.  We evaluated two different training scenarios: training a model without adding anything and training a model with adding something.  We used accuracy, precision, recall, F1-score, validation loss, and confusion matrix analysis to evaluate model perfomance.  The findings demonstrate that data augmentation significantly improves model performance.  The validation loss decreased from 0.019747 to 0.014853, and the accuracy, precision, recall, and F1-score all showed slight improvements.  The enhanced model also achieved higher true positive and true negative values, signifying improved recognition proficiency.  Tests on previously unseen samples yielded 100% correct predictions, indicating enhanced generalization.  To sum up, data augmentation is an effective strategy for mitigating small datset limitations and improving the reliability of CNN-based visual inspection systems in industrial environments.
Mechanical Contact Stress Analysis of Rollers at Various Hot Rolling Reductions Using Finite Element Approach Hanafi, Agung Fauzi; Siregar, Ansor Salim; Wisnu Wardhaanaa, Prabuditya Bhisma; Mega Lazuardi Umar
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7190

Abstract

Hot rolling is a fundamental process in metal manufacturing; however, the operational integrity of the rollers is frequently threatened by excessive stress, which can lead to premature fatigue failure. This study aims to quantitatively analyze the effect of the cross-sectional reduction percentage on the distribution and magnitude of equivalent (von Mises) stress in hot rolling rollers. The Finite Element Analysis (FEA) method was employed to simulate the rolling process on rollers made of Ductile Cast Iron and a Structural Steel billet at a temperature of 800°C. Eleven simulation scenarios were executed by varying the reduction from 22% (industry standard) to 44%. The results indicate that the standard 22% reduction yields a very safe stress level (157.36 MPa), which is only 46.5% of the roller material's fatigue strength (338 MPa). It was found that roller stress increases non-linearly with increasing reduction, with a significant stress surge observed after a 41% reduction. The maximum safe operational limit was identified at a 43% reduction, which produced a stress of 275.43 MPa (81.5% of the fatigue limit). At a 44% reduction, the roller stress (369.37 MPa) exceeded the safe limit, indicating a high risk of component failure. This study provides a practical quantitative guide for the industry to optimize production throughput by establishing 43% as the maximum theoretical reduction limit.
Front Matter Jurnal Rekayasa Mesin Vol. 20 No. 3 December 2025 Rekayasa Mesin, Jurnal
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7336

Abstract

Back Matter Jurnal Rekayasa Mesin Vol. 20 No. 3 December 2025 Rekayasa Mesin, Jurnal
Jurnal Rekayasa Mesin Vol. 20 No. 3 (2025): Volume 20, Nomor 3, Desember 2025
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v20i3.7338

Abstract

Page 48 of 48 | Total Record : 478

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