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All Journal Multitek Indonesia : Jurnal Ilmiah JMES: The International Journal of Mechanical Engineering and Sciences Jurnal Pendidikan Teknik Mesin
Faradilla Fauziyah Risnawati
Politeknik Negeri Malang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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ANALISIS KINERJA POROS RODA SEPEDA MOTOR MELALUI PENDEKATAN FINITE ELEMENT METHOD DENGAN DUKUNGAN SOFTWARE SOLIDWORKS Agus dwi Putra; Galuh Zuhria Kautzar; Nicko Nur Rakhmaddian; Faradilla Fauziyah Risnawati
Jurnal Pendidikan Teknik Mesin Vol. 12 No. 1 (2025): Jurnal Pendidikan Teknik Mesin
Publisher : Program Studi Pendidikan Teknik Mesin Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwiajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jptm.v12i1.56

Abstract

The motorcycle wheel shaft is a vital component that significantly impacts vehicle performance and rider safety. This study is motivated by the need to ensure an optimal wheel shaft design, considering its critical role in transmitting power, bearing loads, and maintaining the motorcycle's stability. The approach used in this research employs the Finite Element Method (FEM) through SolidWorks software to evaluate Von Mises stress, strain, and the factor of safety, with carbon steel a material known for its strength and corrosion resistance as the primary material. The analysis results reveal a maximum stress of 2.827x108 N/m², a maximum Displacement of 4.252x10-3 mm, and a minimum factor of safety of 5.111x102, indicating a reliable design. The study identifies critical areas prone to failure. Using a simulation-based approach, this research underscores the importance of FEM analysis in the development of safe and efficient mechanical components, contributing to enhanced performance and safety of vehicles.
RANCANG BANGUN ALGORITMA OBSTACLE AVOIDANCE ROBOT INSPEKSI MENGGUNAKAN SENSOR ULTRASONIK DAN LOGIKA FUZZY Mohammad Rizanto Juliarsyah; Faradilla Fauziyah Risnawati
MULTITEK INDONESIA Vol 19 No 2 (2025): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v19i2.12441

Abstract

Underground channels are subject to limited manual inspection owing to the fact that it is inefficient, high risk, and labor-intensive. These make obstacle-avoiding robots crucial in inspecting channels. This paper aims at designing an obstacle avoidance algorithm with ultrasonic sensors and fuzzy logic for enabling the free movement of inspection robots. The research approach includes the establishment of a fuzzy control system that accepts ultrasonic sensor distance input and provides decisions on robot movement direction. The two defuzzification strategies utilized in assessing the performance of the algorithms include Center of Maximum (COM) and Mean of Maximum (MOM). Testing included the presentation of various obstacle situations in front and along the robot. The result was that the Center of Maximum (COM) method created more precise straight and turn movements, yet at times the direction of motion was less consistent. In contrast, the Mean of Maximum (MOM) method could create a faster and more stable reaction to position change even when creating tighter turns. Overall, the system designed was successful in improving navigation capability of the inspection robots in confined spaces and could potentially serve as a base to develop more from for real-world applications in the field.
Analysis of Pressure Distribution and Flow Patterns in Francis Turbine Runners Resulting from Reverse Engineering Using CFD Mohammad Rizanto Juliarsyah; Irwanda Yuni Pungkiarto; Khoirul Anwar; Faradilla Fauziyah Risnawati; Dhia Fairuz Shabrina
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 2 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

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Abstract

The study tests how well a Francis turbine runner performs under hydraulic conditions by using reverse engineering methods together with steady-state computational fluid dynamics (CFD) testing. Researchers used 3D scanning to create runner geometry, which they turned into a digital model that they used for conducting numerical analysis. Six guide vane openings were tested using three different operating heads set at 60m, 100m, and 136m. The analysis studied different performance curves, hill-chart characteristics, pressure distribution patterns, and streamline flow patterns. The results showed that discharge and shaft power increased with guide vane opening for all operating heads, while efficiency increased only up to the best efficiency point and then decreased at larger openings. The tests showed that different guide vane openings produced different results because each head operated at its own peak efficiency zone. The hill chart identified a high-efficiency zone, while pressure contours and streamlines showed that medium guide vane openings produced more favorable flow behavior than larger openings. The plant data validation confirmed that the predicted power of 1076 kW matched the reference value of 1050 kW, which resulted in a 2.48% error.
Co-Authors Dhia Fairuz Shabrina Galuh Zuhria Kautzar Irwanda Yuni Pungkiarto Juliarsyah, Mohammad Rizanto Khoirul Anwar Nicko Nur Rakhmaddian Putra, Agus Dwi