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All Journal JOURNAL ONLINE OF PHYSICS Jurnal Rekayasa Material, Manufaktur & Energi Jurnal Teknologi Dirgantara Indonesian Journal of Aerospace
Junjunan, Soleh Fajar
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Aerospace Engineering Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Physics

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Rocket Velocity Estimation for RX-450 Launches Using Image Processing Junjunan, Soleh Fajar; Nugroho, Yuniarto Wimbo; Jihad, Bagus Hayatul
Jurnal Teknologi Dirgantara Vol 20, No 2 (2022): Jurnal Teknologi Dirgantara
Publisher : National Institute of Aeronautics and Space - LAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jtd.2022.v20.a3935

Abstract

The RX-450 rocket, developed by the Rocket Technology Center BRIN, serves various purposes, from sounding to military applications. This study focuses on estimating rocket velocity during the launch phase. Using MATLAB for image processing and OpenRocket for simulation, we explore the potential of image processing for velocity estimation, providing a cost-effective alternative. Results show velocity estimations trailing those of OpenRocket, attributed to friction force and setup differences. The study emphasizes the importance of camera positioning for accuracy. Despite differences, image processing shows promise, warranting further refinement
Tinjauan Material High-Performance sebagai Nosel Roket: Nickel Superalloy, Refractory Metals, CMCs, dan C-C Composites Setyanjana, Andre Yoan; Yogaswara, Y. H; Marsono, Marsono; Junjunan, Soleh Fajar
Rekayasa Material, Manufaktur dan Energi Vol 8, No 1: Januari 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i1.20385

Abstract

The advancement of rocket propulsion technology relies heavily on the development and optimization of high-performance materials capable of withstanding the extreme conditions inside rocket nozzles. This review comprehensively discusses four major material classes for rocket nozzles: Nickel-Based Superalloys, Refractory Metals, Ceramic Matrix Composites (CMCs), and Carbon-Carbon (C-C) Composites. This review highlights the unique properties, advantages, and limitations of each material in rocket nozzle applications using the Systematic Literature Review research method. Nickel-Based Superalloys are renowned for their outstanding high-temperature strength and oxidation resistance, but face challenges in terms of density and cost, thus requiring improvements in composition and processing techniques. Refractory Metals such as tungsten, molybdenum, and tantalum have very high melting points and thermal conductivity, but brittleness and oxidation at high temperatures are major constraints, requiring further research into coatings and alloying strategies. CMCs, mainly based on silicon carbide (SiC), offer high thermal stability, low density, and resistance to thermal shock. However, CMCs materials are also prone to oxidation at high temperatures and rely heavily on fiber-matrix interactions, requiring exploration of manufacturing methods for structural integrity under dynamic thermal loads. Whereas, C-C Composites excel in thermal resistance and light weight, ideal for nozzle throats and exit cones, they are prone to oxidation, requiring protective coatings and treatments to enhance their longevity in oxidative environments.
Rocket Velocity Estimation for RX-450 Launches Using Image Processing Junjunan, Soleh Fajar; Nugroho, Yuniarto Wimbo; Jihad, Bagus Hayatul
Indonesian Journal of Aerospace Vol. 20 No. 2 (2022): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jtd.2022.v20.a3935

Abstract

The RX-450 rocket, developed by the Rocket Technology Center BRIN, serves various purposes, from sounding to military applications. This study focuses on estimating rocket velocity during the launch phase. Using MATLAB for image processing and OpenRocket for simulation, we explore the potential of image processing for velocity estimation, providing a cost-effective alternative. Results show velocity estimations trailing those of OpenRocket, attributed to friction force and setup differences. The study emphasizes the importance of camera positioning for accuracy. Despite differences, image processing shows promise, warranting further refinement.
PENILAIAN KESEHATAN MULTIDOMAIN BATERAI LITHIUM-ION UNTUK SISTEM DIRGANTARA BERBASIS PRINCIPAL COMPONENT ANALYSIS (PCA) DAN K-MEANS Wardhana, Indrawata; Isnaini, Vandri Ahmad; Wirman, Rahmi Putri; Junjunan, Soleh Fajar; Mursyitah, Dian; Parmo, Parmo
JOURNAL ONLINE OF PHYSICS Vol. 12 No. 1 (2026): JOP (Journal Online of Physics) Vol 12 No 3
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/h40b6971

Abstract

Baterai lithium-ion pada sistem dirgantara bekerja sebagai subsistem penyimpanan energi yang harus mempertahankan ketersediaan daya, kestabilan operasi, dan keandalan selama siklus penggunaan. Dari sudut pandang fisika, penuaan baterai merupakan perubahan bertahap pada respons listrik, termal, waktu pelepasan, dan proses elektrokimia sehingga tidak selalu dapat direpresentasikan hanya melalui penurunan kapasitas. Penelitian ini mengembangkan pendekatan penilaian kesehatan multidomain menggunakan empat sel National Aeronautics and Space Administration (NASA)  Ames Battery Aging, yaitu B0005, B0006, B0007, dan B0018. Tujuh besaran hasil pengukuran siklus digunakan untuk membentuk representasi kondisi baterai yang mencakup kapasitas, tegangan, temperatur, durasi pelepasan, dan resistansi transfer muatan (R_ct). Principal component analysis (PCA) digunakan untuk mereduksi ruang pengamatan, sedangkan K-means digunakan untuk mengidentifikasi beberapa rezim kondisi dengan jumlah kluster K=2–5. Selanjutnya, Multi-Domain Health Index (HI) digunakan untuk menggambarkan tingkat degradasi secara kontinu, sementara R_ct dikaji sebagai besaran elektrokimia untuk prognosis. Dua komponen utama mempertahankan lebih dari 90% variansi pada seluruh sel. Hasil menunjukkan bahwa pendekatan multidomain mampu menghubungkan besaran fisis yang terukur dengan kondisi baterai secara lebih komprehensif. Kerangka ini memberikan dasar interpretasi yang menggabungkan fisika baterai, pengukuran instrumentasi, karakterisasi kondisi, dan kebutuhan pemantauan kesehatan baterai pada sistem
Co-Authors Dian Mursyitah Indrawata Wardhana Jihad, Bagus Hayatul Marsono Marsono Nugroho, Yuniarto Wimbo Parmo Parmo Rahmi Putri Wirman Setyanjana, Andre Yoan Vandri Ahmad Isnaini Yogaswara, Y. H