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Year 2024 Volume 05 Issue 02
Aerodynamic Investigation of Fixed Pitch Aircraft Propeller
Tarih: 28-12-2024 | Yazar(lar): Erdogan Kaygan, Dogukan Dogan, Ozan Mahir Alpagut
Abstract (Özet)
An investigation of fixed pitch propeller aerodynamics is described in this paper. The impetus for the work was to identify proposed propeller’s efficiency, thrust coefficient, power coefficient and pressure contours are characterized. All computational analysis were performed using Computational Fluid Dynamics (CFD) software called Cradle scFLOW. During the simulation process, velocity set to 60 knots (30.87 m/s) and initially RPM (Revolution per Minute) kept constant at 3100 to specify efficiency at that point. Following that RPM value was varied to achieve thrust force. According to results, with increase in advance ratio was found to raise propeller efficiency at some point and then reduction was observed in terms of efficiency due to thrust reduction. Subsequent to these investigations, obtained thrust force was compared with an experimental data. The CFD results indicated that there is a good agreement with the experimental results.
Analyzing the New Global Reporting Format from the Pilot Perspective
Tarih: 28-12-2024 | Yazar(lar): Arif Tuncal, Ufuk Erol
Abstract (Özet)
Global Reporting Format (GRF) for runway surface conditions is an important step in improving aviation safety by providing standardized and consistent information. The aim of the study was to evaluate the effectiveness and implementation of the GRF among pilots. Qualitative and quantitative methods were used to comprehensively address all aspects of the study. The sample consisted of 266 pilots. Findings showed that the majority of pilots are aware of the GRF and value its benefits, such as consistency, reliability, and standardized terminology, despite it being a new method. Pilots highlighted the role of the GRF in improving communication and decision-making for take-off and landing. However, the study also identified challenges, including occasional inaccuracies in reporting, the need for real-time updates, the length of ATIS reports, and inconsistencies in application across airports in different regions. These issues highlight the human factor and the need to develop the GRF. The study makes a unique contribution by highlighting both the practical benefits and the challenges of the GRF from the perspective of the pilots. It is recommended that future research include a more diverse sample of pilots from all regions and that technical studies be undertaken to compare runway surface conditions with aircraft performance under the GRF. This will provide a more complete understanding of the effectiveness of the GRF and identify areas for further improvement.
Wildlife Hazard Management – An Intuitive Web-Based Risk Matrix for Airport Stakeholders
Tarih: 28-12-2024 | Yazar(lar): Chien-tsung Lu, Ming Cheng, Haoruo Fu, Mengyi Wei
Abstract (Özet)
This study employs Tableau and R to create a web-based system for early wildlife hazard alerts at airports. The result shows specific time, season, altitude, size, and frequency related to wildlife reports in the United Stated. A user-friendly risk assessment tool, utilizing the Shiny platform, offers airport stakeholders color-coded risk levels by analyzing wildlife hazard report frequencies and sizes. The proposed tool is exemplified by its application at two commercial airports, and algorithm is shared to readers for implementation across various airport settings. This paper enhances understanding of wildlife hazard reports, empowering airport stakeholders to make proper decisions for proactive wildlife control, ultimately improving airport safety and sustainability.
An Empirical Analysis on The Use of Sustainable Fuels in The Aviation Industry
Tarih: 28-12-2024 | Yazar(lar): Yaşar Köse, Emre Oğuzhan Polat
Abstract (Özet)
This study aims to analyze and evaluate different types of alternative fuels for aviation from a life cycle and cost perspective. It aims to analyze different alternative fuels and their use in aircraft for this purpose in the aviation sector in relation to their potential to be a suitable transition solution towards sustainable transformation. Using the GREET (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) aviation module developed by the US National Research Laboratory (Argonne), the life cycles of petroleum and six different sustainable aviation fuel production methods were calculated, and the environmental impact of kerosene and sustainable aviation fuels in terms of cost and carbon dioxide emissions on long, medium and short-haul flights were analyzed. As a result of the study, it was determined that the cost of the sustainable aviation fuels examined was higher than fossil fuel. The key to greater acceptance and deployment of sustainable aviation fuel is cost reduction. In the long term, this will require investment in advanced technologies to process feedstocks more efficiently on a larger scale and in the development of sustainable and scalable feedstock options. However, in the short term, temporary support from governments and other stakeholders through policy incentives is needed. In this sense, this study is of interest to managers of domestic and global airline companies, industry professionals and interested stakeholders.
Utilizing Mel-Frequency Cepstral Coefficients for Acoustic Diagnostics of Damaged UAV Propellers
Tarih: 28-12-2024 | Yazar(lar): Bahadir Cinoglu, Umut Durak, T. Hikmet Karakoc
Abstract (Özet)
In this study, the diagnostic potential of the acoustic signatures of Unmanned Aerial Vehicle (UAVs) propellers which is one of the critical components of these vehicles were examined under different damage conditions. For this purpose, a test bench was set up and acoustic data of five different damaged propellers and one undamaged propeller were collected. The methodology emphasized contains using an omnidirectional microphone to collect data under three different thrust levels which correspond to 25%, 50% and 75%. Propeller acoustics sound characteristics extracted using the Mel Frequency Cepstrum Coefficient (MFCC) technique that incorporates Fast Fourier Transform (FFT) in order to obtain feature extracted data, and the visual differences of sound patterns were discussed to underline its importance in terms of diagnostics. The results indicated that there is a potential for classifying slightly and symmetrically damaged and undamaged propellers successfully in an Artificial Intelligence-based diagnostic application using MFCC. This study aimed to demonstrate a way to effectively use MFCC detecting damaged and undamaged propellers through their sound profiles and highlighted its usage potential for future integration into Artificial Intelligence (AI) methods in terms of UAV diagnostics. The findings provided a foundation for creating an advanced diagnostic method for increasing UAV safety and operational efficiency.