Article Per Year (5 Year)
p-Index From 2020 - 2025
1.431
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TEKNIK Mechatronics, Electrical Power, and Vehicular Technology Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknosains Jurnal Teknologi Telematika Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika IJITEE (International Journal of Information Technology and Electrical Engineering) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Fransisco Danang Wijaya
Universitas Gadjah Mada
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Mechatronics, Electrical Power, and Vehicular Technology

 1 
Quasi-flat linear PM generator optimization using simulated annealing algorithm for WEC in Indonesia Azhari, Budi; Wijaya, Fransisco Danang
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3156.212 KB) | DOI: 10.14203/j.mev.2019.v10.29-35

Abstract

Linear permanent magnet generator (LPMG) is an essential component in recent wave energy converter (WEC) which exploits wave’s heave motion. It could be classified into tubular-type, flat-tricore type, and quasi-flat type. In previous researches, these three models have been studied and designed for pico-scale WEC. Design optimization has further been conducted for flat-tricore LPMG, by using simulated annealing (SA) algorithm. It modified some parameters to minimize the resulted copper loss. This paper aims to optimize a quasi-flat LPMG design by applying SA algorithm. The algorithm would readjust the initial LPMG parts dimension. Then, the output of the optimized design would be analyzed and compared. The results showed that the optimization could reduce the copper loss by up to 73.64 % and increase the efficiency from 83.2 % to 95.57 %. For various load resistances, the optimized design also produces larger efficiency. However, the optimized design has a larger size and produces larger cogging force than the initial design.
Quasi-flat linear PM generator optimization using simulated annealing algorithm for WEC in Indonesia Budi Azhari; Fransisco Danang Wijaya
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2019.v10.29-35

Abstract

Linear permanent magnet generator (LPMG) is an essential component in recent wave energy converter (WEC) which exploits wave’s heave motion. It could be classified into tubular-type, flat-tricore type, and quasi-flat type. In previous researches, these three models have been studied and designed for pico-scale WEC. Design optimization has further been conducted for flat-tricore LPMG, by using simulated annealing (SA) algorithm. It modified some parameters to minimize the resulted copper loss. This paper aims to optimize a quasi-flat LPMG design by applying SA algorithm. The algorithm would readjust the initial LPMG parts dimension. Then, the output of the optimized design would be analyzed and compared. The results showed that the optimization could reduce the copper loss by up to 73.64 % and increase the efficiency from 83.2 % to 95.57 %. For various load resistances, the optimized design also produces larger efficiency. However, the optimized design has a larger size and produces larger cogging force than the initial design.
Effect of different core materials in very low voltage induction motors for electric vehicle Fransisco Danang Wijaya; Iftitah Imawati; Muhammad Yasirroni; Adha Imam Cahyadi
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 12, No 2 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2021.v12.95-103

Abstract

The use of squirrel cage induction motor for electric vehicle (EV) has been increasingly popular than permanent magnet and brushless motors due to their independence on rare materials. However, its performance is significantly affected by the core materials. In this research, induction motors performance with various core materials (M19_24G, Arnon7, and nickel steel carpenter) are studied in very low voltage. Three phases, 50 Hz, 5 HP, 48 V induction motor were used as the propulsion force testbed applied for a golf cart EV. The aims are to identify loss distribution according to core materials and compare power density and cost. The design process firstly determines the motor specifications, then calculates the dimensions, windings, stator, and rotor slots using MATLAB. The parameters obtained are used as inputs to ANSYS Maxwell to calculate induction motor performance. Finally, the design simulations are carried out on RMxprt and 2D transient software to determine the loss characteristics of core materials. It is found that the stator winding dominates the loss distribution. Winding losses have accounted for 52-55 % of the total loss, followed by rotor winding losses around 25-27 % and losses in the core around 1-7 %. Based on the three materials tested, nickel steel carpenter and M19_24G attain the highest efficiency with 83.27 % and 83.10 %, respectively, while M19_24G and Arnon7 possess the highest power density with 0.37 kW/kg and 0.38 kW/kg whereas, in term of production cost, the Arnon7 is the lowest.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad, Fariz Adha Imam Cahyadi Adlan Bagus Pradana Agus Adiwismono Amrisal Kamal Fajri Andriyatna Agung Kurniawan Artakusuma, Dwi Dharma Bambang Sutopo Bambang Sutopo Budi Azhari Budi Azhari Denny Haryanto Sinaga Dwi Dharma Artakusuma Dyah Ayu Kartika Sari Edi Susilo Eka Firmansyah Eka Firmansyah Ekrar Winata Gusti Agung Ayu Putri Hartanto Prabowo Hilman Zarory Husni Rois Ali I Wayan Adiyasa iftitah imawati Johan Agung Irawan Kevin Gausultan Kristianto Adi Widiatmoko Kukuh Daud Pribadi L. Heru Pratomo Leonardus Heru Pratomo Lesnanto Multa Putranto Mohammad Rustam M. L. Mohd. Brado Frasetyo Mokhammad Isnaeni Bambang Setyonegoro Muhammad Ridwan Muhammad Rifa'i Putra Sugita Muhammad Yasirroni Ningtias, Dieta Wahyu Asry Noviarianto, Noviarianto Pebri Prihatmoko Ridi Ferdiana Roni Irnawan Roy Bayu Negara Rudy Hartanto S.Pd. M Kes I Ketut Sudiana . Sarjiya Sayuri Egaravanda Sidik, Yohan Fajar Sriyono Stephanus, Harnoko Suharyanto Suharyanto T. Haryono Tiyono Toni Prasetya Tumiran Wiwik Handajadi, Wiwik Yuwono Bimo Purnomo Zarory, Hilman