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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Jurnal Teknologi Jurnal EECCIS Jurnal Kelautan Nasional
Rizki Mendung Ariefianto
Department Of Electrical Engineering, Universitas Brawijaya, Jl. Veteran, Ketawanggede, Lowokwaru, Malang, Indonesia 65145
Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Engineering Environmental Science

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Analisis Turbin Darrieus Tipe V-Shaped Blade Untuk Aplikasi Konverter Energi Arus Laut Menggunakan Software QBlade Rizki Mendung Ariefianto; Rini Nur Hasanah; Wijono Wijono
Jurnal Kelautan Nasional Vol 17, No 2 (2022): AGUSTUS
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.647 KB) | DOI: 10.15578/jkn.v17i2.10842

Abstract

Turbin tipe Darrieus merupakan salah satu jenis turbin sumbu vertikal yang memiliki prospek menjanjikan dalam pengembangan turbin hidrokinetik, salah satunya dalam aplikasi untuk pembangkit arus laut. Berbagai penelitian telah dilakukan untuk meningkatkan performa turbin Darrieus yang pada umumnya memiliki performa efisiensi dan self-starting lebih rendah dibandingkan jenis turbin sumbu horisontal. Tujuan penelitian ini adalah untuk mengevaluasi performa turbin Darrieus yang ditinjau dari aspek efisiensi dan kemampuan self-starting. Skenario pengujian berupa penerapan bentuk foil dan blade swept angle (γ) pada desain turbin dipertimbangkan dalam penelitian ini. Pada evaluasi pengaruh bentuk foil, diterapkan foil NACA 634021 sebagai foil utama kemudian dibandingkan dengan foil lain seperti NACA 0018. Sedangkan evaluasi pengaruh blade swept angle, dipertimbangkan nilai γ = 30° agar menghasilkan turbin dengan bentuk V-shaped blade yang kemudian dibandingkan dengan turbin Straight blade dengan γ = 0°. Software QBlade digunakan untuk mensimulasikan turbin V-shaped blade selama kondisi kerja. Hasil simulasi menunjukkan bahwa turbin V-shaped blade yang berbasis foil NACA 634021 mampu mencapai efisiensi terbesar yaitu 0,425 dan memiliki self-starting yang baik pada cut-in speed arus laut sebesar 1,765 m/s. Selain itu, turbin ini juga mampu menghasilkan daya sebesar 27,64 kW pada kecepatan ratingnya dengan rata-rata peningkatan daya tiap 1 m/s arus laut sebesar 2,51 kW.
OPTIMASI TURBIN ARUS LAUT TIPE V-SHAPED BLADE DENGAN MEMPERTIMBANGKAN BLADE ASPECT RATIO DAN SOLIDITY Rizki Mendung Ariefianto; Rini Nur Hasanah; Wijono Wijono
Jurnal Teknologi Vol 15, No 1 (2023): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.15.1.1-12

Abstract

The V-shaped blade turbine is one of the turbine models with good self-starting capability, although its efficiency is still standard. Various studies, especially of foil shape and blade swept angle variations applied to V-shaped blade turbines, have been carried out to improve its performance. This study aims to optimize the ability of a V-shaped blade turbine in terms of efficiency and self-starting by investigating the effect of blade aspect ratio and solidity through several test scenarios. NACA 634021 foil and a blade swept angle of 30° were used to create the main form of a V-shaped blade turbine. The simulation results using the QBlade software show that the blade aspect ratio and solidity significantly affect the efficiency and self-starting capability of the V-shaped blade turbine. Finally, the optimal design configuration was achieved on the turbine dimensions with a height of 3.1344 m, a radius of 1.8288 m, a chord foil length of 0.2134 m, and a total of four blades. This configuration can achieve maximum efficiency of 0.441 and fulfills self-starting at the minimum tip speed ratio limit of 0.7.
Performance Study of a Humpback Whale Fluke Turbine on Foil Shape Variation Based on Double Multiple Streamtube Model Rizki Mendung Ariefianto; Rini Nur Hasanah; Wijono Wijono; Asfarur Ridlwan
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 20, No 3 (2023): October
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v0i0.53886

Abstract

Exploration of ocean current energy allows for the development of turbines as the primary conversion device. Turbine technologies have been developed in various types, including bio-inspired turbines, such as the humpback whale fluke turbine. In this study, the achievement of a humpback whale fluke turbine is investigated by applying various forms of foil, both symmetrical and asymmetrical, to obtain the appropriate foil profile. Symmetrical foils were represented by NACA 0012, NACA 0018, and NACA 0021, while asymmetric foils were represented by NACA 4312, NACA 4512, and NACA 4712 foils. Simulations were performed using QBlade software, which was developed based on the DMST theory. In general, symmetrical foils have a more stable performance than asymmetrical foils because they produce a better performance at positive and negative angles of attack. This result is also supported by a review of efficiency and self-starting capability where symmetrical foils have significantly higher CP values and positive CQ along the azimuth angle than asymmetrical foils. Finally, NACA 0021 foil is recommended for a humpback whale fluke turbine based on its efficiency and self-starting capability.
Advancing Fault Diagnosis for Parallel Misalignment Detection in Induction Motors Based on Convolutional Neural Networks Hanif Adi Rahmawan; Bambang Lelono Widjianto; Katherine Indrawati; Rizki Mendung Ariefianto
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1655

Abstract

Maintenance of machines is highly necessary to prolong the operational lifespan of induction motors. Prioritizing preventive measures is crucial in order to prevent more significant damage to the machinery. One of these measures includes detecting abnormalities, such as misalignment, in the motor shaft. This research is aimed to detect the misalignment of induction motor experimentally by varying the coupling between normal and parallel misalignment. The signal readings were analyzed in the frequency domain using Fast Fourier Transform (FFT). The results revealed that in the case of coupling misalignment, a peak appeared at f = 13.5 Hz, whereas in the parallel misalignment condition with a 1 cm misalignment, a peak was found at f+fr = 20 Hz. By utilizing the Convolutional Neural Network (CNN) system, normal and parallel conditions can be detected with an accuracy level of 87.5%.
Co-Authors Asfarur Ridlwan Bambang Lelono Widjianto Hanif Adi Rahmawan Katherine Indrawati Rini Nur Hasanah Rini Nur Hasanah Wijono Wijono Wijono Wijono