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Preprint ARTICLE | doi:10.20944/preprints202306.0155.v1

Numerical Investigation on Hypersonic Flat-Plate Boundary Layer Transition Subjected to Bi-frequency Synthetic Jet

Xinyi Liu, Zhenbing Luo, Qiang Liu, Pan Cheng, Yan Zhou

Subject: Engineering, Aerospace Engineering Keywords: hypersonic boundary layer transition; transition delay; bi-frequency synthetic jet; flow control; linear stability theory

Online: 2 June 2023 (08:22:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2194.v1

Research on the Distributed Propeller Slipstream Effect of UAV Wing Based on the Actuator Disk Method

Mingzhi Cao, Kun Liu, Chunqiang Wang, Jingbo Wei, Zijie Qin

Subject: Engineering, Aerospace Engineering Keywords: Distributed electric propulsion; Wing–propeller interaction; Actuator disk method; Genetic algorithm optimization

Online: 31 May 2023 (08:12:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2188.v1

Predicting the Effect of Surface Waviness on Fatigue Life of a Wire + Arc Additive Manufactured Ti-6Al-4V Alloy

Muhammad Shamir, Xiang Zhang, Abdul Khadar Syed, Wayne Sadler

Subject: Engineering, Aerospace Engineering Keywords: WAAM; surface waviness; fatigue; bending test; durability; fracture mechanics

Online: 31 May 2023 (07:47:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2176.v1

About the Combination of Cross-Correlation Analysis and Ultrasonic-GW Tomographic Technique for BVID Impact Detection Capability Assessment

Monica Ciminello, Natalino Daniele Boffa, Salvatore Ameduri, Ernesto Monaco

Subject: Engineering, Aerospace Engineering Keywords: Composite structures; Structural health monitoring; Cross-correlation analysis; Guided waves; Piezoelectric sensors

Online: 31 May 2023 (07:09:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2062.v1

Influence of Metal Magnesium Addition on Detonation Initiation in Shock Wave Focusing

Yu-Peng Hu, Yun-Tian Zhang, Peng Du, Rui Xue, Yi-Jun Wang, Ben-Quan Zhou

Subject: Engineering, Aerospace Engineering Keywords: Magnesium particle; Shock wave focusing; Detonation wave; DDT

Online: 30 May 2023 (07:11:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2042.v1

Correlative Method for Diagnosing Gas-Turbine Tribological Systems

Maciej Deliś, Sylwester Kłysz, Radoslaw Przysowa

Subject: Engineering, Aerospace Engineering Keywords: wear debris; oil analysis; emission spectroscopy; turboprop; propeller governor; ANOVA; interaction analysis; condition indicator

Online: 30 May 2023 (04:36:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1957.v1

A Low-Cost Perception and Control System for In-flight Collision Avoidance of UAVs Based on Background Subtraction

Jeonghwan Park, Andrew Jaeyong Choi

Subject: Engineering, Aerospace Engineering Keywords: unmanned aerial vehicle; collision avoidance; trajectory estimation; feature-point matching; op-tical flow; background subtraction

Online: 29 May 2023 (04:09:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1802.v1

Can the Orbital Debris Disease Be Cured Using Lasers?

Stefan Scharring, Jürgen Kästel

Subject: Engineering, Aerospace Engineering Keywords: Space debris; Space sustainability; Kessler syndrome; Debris removal; High energy lasers; Laser pulse repetition rate; Laser ablation; Laser momentum transfer; Laser-induced heating; Thermo-mechanical integrity

Online: 25 May 2023 (10:46:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1798.v1

Design and Operation of a Gripper for a Berthing Task

Alexander Titov, Matteo Russo, Marco Ceccarelli

Subject: Engineering, Aerospace Engineering Keywords: Space Robotics; On-Orbit Service Robotics; Space Berthing; Space Grippers; CubeSats

Online: 25 May 2023 (10:29:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1795.v1

Linear and Nonlinear Models for Drop Simulation of Aircraft Landing Gear System with MR Dampers

Byung-Hyuk Kang, Bang-Hyun Jo, Bo-Gyu Kim, Jai-Hyuk Hwang, Seung-Bok Choi

Subject: Engineering, Aerospace Engineering Keywords: magnetorheological (MR) fluid; MR landing gear; drop test performance; aircraft dynamic model

Online: 25 May 2023 (10:25:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1787.v1

Dynamic Analysis and Numerical Simulation of Arresting Hook Engaging Cable in Carried-based Aircraft Landing

Haoyuan Shao, Zi Kan, Yifeng Wang, Daochun Li, Zhuoer Yao, Jinwu Xiang

Subject: Engineering, Aerospace Engineering Keywords: Carrier-based aircraft; engagement; FEM-MBD; rigid-flexible coupling model; dynamic analysis

Online: 25 May 2023 (09:49:02 CEST)

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The engagement of the arresting hook with the arresting cable is a critical maneuver that is essential to the safe operation of aircraft landing on aircraft carrier. A comprehensive understanding of the engagement process dynamics is necessary to optimize landing performance and ensure the safety and efficiency of carrier operations. In this paper, an efficient and accurate simulation and analysis method is presented for studying the arresting hook engaging arresting cable process. The Finite Element Method and Multibody Dynamics (FEM-MBD) approach is employed. By establishing a rigid-flexible coupling model encompassing the aircraft frame, arresting hook, carrier deck and arresting gear system, the dynamic model for the engagement process is obtained. The model incorporates multiple coordinate systems to effectively capture the relative motion between the rigid and flexible components, enabling a thorough understanding of the dynamics characteristics. The analysis conducted in this paper takes into account various factors, including the material properties of the components, the characteristics of the arresting gear system, and the state of the aircraft during the engagement process. The analysis method is verified by comparing the simulation results with experiments of arresting hook rebound obtained from reference. Finally, simulations are performed to analyze the engagement process under different touchdown points and rolling angle of aircraft. The simulation results provide valuable insights into the distribution of stresses during the arresting hook and cable engagement, the center of gravity variations, as well as the response of the tire touch and rollover cable under specific scenarios. The proposed rigid-flexible coupling arresting dynamics model in this paper enables effective analysis of the dynamic behavior during arresting hook engaging arresting cable. The results obtained from this analysis offer valuable insights into the performance of the engagement process, which can be used to improve the design of carrier-based aircraft and techniques for carrier landing.

Preprint ARTICLE | doi:10.20944/preprints202305.1629.v1

Balloon-based Exposed Payload Designed for Astrobiological Research in Earth’s Near Space

Yanqiu Wang, Chao Wang, Jianxun Shen, Weining Li, Gaohong Wang, Wei Lin, Yuanda Jiang

Subject: Engineering, Aerospace Engineering Keywords: Earth’s near space; Biological Samples Exposure; Mars; Venus; atmosphere; astrobiology

Online: 23 May 2023 (08:47:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1485.v1

Exploring the Performance Boundaries of a Reconfigurable Multi-Mission Military UAV through Multidisciplinary Analysis

Dioser Santos, Jeremy Rogers, Armando De Rezende, Victor Maldonado

Subject: Engineering, Aerospace Engineering Keywords: Unmanned Aerial Vehicle; Reconfigurable; Multi-mission; Computational Fluid Dynam- 16 ics; Additive Manufacturing; Finite Element Analysis

Online: 22 May 2023 (09:35:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1480.v1

A FEM Free Vibration Analysis of Variable Stiffness Composite Plates through Hierarchical Modelling

Gaetano Giunta, Domenico Andrea Iannotta, Marco Montemurro

Subject: Engineering, Aerospace Engineering Keywords: Free Vibration Analysis; Finite Element Method; Variable Angle Tow Plates; Carrera's Unified Formulation; Reissner's Mixed Variational Theorem

Online: 22 May 2023 (09:01:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1436.v1

Weak Spatial Target Extraction Based on Small-Field Optical System

Xuguang Zhang, Yunmeng Liu, Huixian Duan, E Zhang

Subject: Engineering, Aerospace Engineering Keywords: Small-field telescope; Space target detection; Image preprocessing; Target signal enhancement; Multi frame projection; Adaptive filtering

Online: 19 May 2023 (10:57:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1349.v1

Study on the Movement Characteristics of Fuel in the Fuel Tank during Maneuvering Process

Yameng Wang, Chenran Ruan, Song Lu, Zhenghong Li

Subject: Engineering, Aerospace Engineering Keywords: Aircraft fuel system; Maneuvering; Free surface; Wing fuel tank; Finite point set method

Online: 18 May 2023 (14:17:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1325.v1

Agile Methodology for the Standardization of Engineering Requirements using Large Language Models

Archana Tikayat Ray, Bjorn F Cole, Olivia J Pinon Fischer, Anirudh Prabhakara Bhat, Ryan T White, Dimitri N Mavris

Subject: Engineering, Aerospace Engineering Keywords: Requirements Engineering; Natural Language Processing; NLP; BERT; Requirements boilerplates; Model-Based Systems Engineering; MBSE; Requirements table; Large Language Models (LLMs); Transformer based language models

Online: 18 May 2023 (10:19:18 CEST)

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The increased complexity of modern systems is calling for an integrated and comprehensive approach to system design and development and in particular, a shift towards Model-Based Systems Engineering (MBSE) approaches for system design. The requirements that serve as the foundation for these intricate systems are still primarily expressed in Natural Language (NL), which can contain ambiguities and inconsistencies that hinder their direct translation into models. The colossal developments in the field of Natural Language Processing (NLP) in general and Large Language Models (LLMs) in particular can serve as an enabler for the conversion of NL requirements into semi-machine-readable requirements. This is expected to facilitate their standardization and use in a model-based environment. This paper discusses a two-fold strategy for converting NL requirements into semi-machine-readable requirements using language models. The first approach involves creating a requirements table by extracting information from free-form NL requirements. The second approach is an agile methodology that facilitates the identification of boilerplate templates for different types of requirements based on observed linguistic patterns. For this study, three different LLMs were utilized. Two of these models were fine-tuned versions of Bidirectional Encoder Representations from Transformers (BERT), specifically aeroBERT-NER and aeroBERT-Classifier, which were trained on annotated aerospace corpora. Another LLM, called flair/chunk-english, was utilized to identify sentence chunks present in NL requirements. All three language models were utilized together to achieve the standardization of requirements. To demonstrate the effectiveness of the methodologies, requirements from Parts 23 and 25 of Title 14 Code of Federal Regulations (CFRs) were employed, and a total of two, five, and three boilerplate templates were identified for design, functional, and performance requirements, respectively.

Preprint ARTICLE | doi:10.20944/preprints202305.1208.v1

Variable Stroke Fatigue Test Technology for Aircraft Landing Gears

Botao Hu, Chao Chen, Xiangming Chen, Chun Zhang, Yanan Chai

Subject: Engineering, Aerospace Engineering Keywords: landing gear; variable stroke; test; displacement control; follow-up

Online: 17 May 2023 (08:21:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1202.v1

Integrated Design System of Aircrafts Based on Generative Modeling Method

Wojciech Skarka, Rafał Nalepa, Robert Musik

Subject: Engineering, Aerospace Engineering Keywords: Generative model; Knowledge-Based Engineering; Design automation; Conceptual design; Aerospace Engineering; Computer Aided Design

Online: 17 May 2023 (07:14:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1195.v1

A GPU-Accelerated Particle Advection Methodology for 3D Lagrangian Coherent Structures in High-Speed Turbulent Boundary Layers

Christian Lagares, Guillermo Araya

Subject: Engineering, Aerospace Engineering Keywords: LCS; GPU Accelerated; Particle Advection; Distributed Memory Algorithms; High Speed 24 Turbulent Boundary Layers; DNS

Online: 17 May 2023 (05:36:15 CEST)

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In this work, we introduce a scalable and efficient GPU-accelerated methodology for volumetric particle advection and finite-time Lyapunov exponent (FTLE) calculation, focusing on the analysis of Lagrangian Coherent Structures (LCS) in large-scale Direct Numerical Simulation (DNS) datasets across incompressible, supersonic, and hypersonic flow regimes. LCS play a significant role in turbulent boundary layer analysis, and our proposed methodology offers valuable insights into their behavior in various flow conditions. Our novel owning-cell locator method enables efficient, constant-time cell search, and the algorithm draws inspiration from classical search algorithms and modern multi-level approaches in numerical linear algebra. The proposed method is implemented for both multi-core CPUs and Nvidia GPUs, demonstrating strong scaling up to 32,768 CPU cores and up to 62 Nvidia V100 GPUs. By decoupling particle advection from other problems, we achieve modularity and extensibility, resulting in consistent parallel efficiency across different architectures. Our methodology was applied to calculate and visualize the FTLE on four turbulent boundary layers at different Reynolds and Mach numbers, revealing that coherent structures grow more isotropic proportional to the Mach number, and their inclination angle varies along the streamwise direction. We also observed increased anisotropy and FTLE organization at lower Reynolds numbers, with structures retaining coherency along both spanwise and streamwise directions. Additionally, we demonstrated the impact of lower temporal frequency sampling by upscaling with an efficient linear upsampler, preserving general trends with only 10% of the required storage. In summary, we present a particle search scheme for particle advection workloads in the context of visualizing LCS via FTLE that exhibits strong scaling performance and efficiency at scale. Our proposed algorithm is applicable across various domains requiring efficient search algorithms in large structured domains. While this manuscript focuses on the methodology and its application to LCS, an in-depth study of the physics and compressibility effects in LCS candidates will be explored in a future publication.

Preprint ARTICLE | doi:10.20944/preprints202305.0578.v1

Dynamic Characteristics of a Rotating Blade with a Dovetail Structure

Xiaoyu Fan, Wenchao Liang, Jin Zeng, Yang Yang, Hui Ma, Chenguang Fan, Shunguo Fu

Subject: Engineering, Aerospace Engineering Keywords: rotating blade with a dovetail structure; fixed-interface component mode synthesis method; aerodynamic force; interface contact; dynamic characteristics

Online: 9 May 2023 (05:40:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0350.v1

Large-Eddy Simulations of a Hypersonic Re-entry Capsule Coupled With the Supersonic Disk-Gap-Band Parachute

Lakshmi Narayana Phaneendra Peri, Ingenito Antonella, Paolo Teofilatto

Subject: Engineering, Aerospace Engineering Keywords: disk-gap-band (DGB) parachute; Schiaparelli capsule; re-entry vehicle/capsule,; Aerothermodynamics; compressible flows

Online: 5 May 2023 (10:27:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0313.v1

Aircraft Failures Prediction via Adaptive Neuro-Fuzzy Inference System

Masoud Latifinavid, Cemal Balıkçı, Suat Dengiz

Subject: Engineering, Aerospace Engineering Keywords: ANFIS; Decision-making; Failure prediction; Aviation

Online: 5 May 2023 (07:17:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0310.v1

Study of the Feasibility of Decoupling Temperature and Strainfrom a ϕ-PA-OFDR over an SMF Using Neural Networks

Andrés Pedraza, Daniel Del Río, Víctor Bautista-Juzgado, Antonio Fernández-López, Ángel Sanz-Andrés

Subject: Engineering, Aerospace Engineering Keywords: decoupling; distributed sensing; XAI; Machine Learning; ϕ-PA-OFDR

Online: 5 May 2023 (06:06:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1251.v1

Improved Curve–Flattening for Flexible Space Robotics

Wenxin Li, Timothy Sands

Subject: Engineering, Aerospace Engineering Keywords: robotics; flexible; control; structural filter; space robotics

Online: 30 April 2023 (03:39:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1048.v1

Optimization of Airplane Landing in Crosswind Conditions for Minimum Tire Wear

Stefano Cacciola, Carlo E.D. Riboldi, Edoardo Generali

Subject: Engineering, Aerospace Engineering Keywords: Landing; Flight simulation; Tire wear; Optimization; Crosswind; Nonlinear flight dynamics; Trim; Ground-contact detection

Online: 27 April 2023 (05:19:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0866.v1

Effect of Scarf Repair Geometry on the Impact Performance of Aerospace Composites

Vijay Shakaran Sridharan, Sridhar Idapalapati

Subject: Engineering, Aerospace Engineering Keywords: Scarf patch; Film adhesive; Secondary bonding; Impact loading; Failure analysis

Online: 25 April 2023 (02:49:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0421.v1

Mixture Culver Filter for Space Object Orbit Determination

Syed Amer Ahsan Gilani, Lyudmila S Mihaylova, Maheen Fatima Bhutta

Subject: Engineering, Aerospace Engineering Keywords: Bayesian Filtering, Fokker Planck Kolmogorov Equation, Hermite Polynomial, Gram Charlier Series, Space Object Orbit Determination.

Online: 17 April 2023 (07:25:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0377.v1

Effect of Injection Strategy on the Flow Structure and Performance of Water Ramjet Engine using Magnesium Powder

Yu-Peng Hu, Ben-Quan Zhou, Gang Zhang, Rui Xue, Yun-Kai Wu, Jun-Li Liu

Subject: Engineering, Aerospace Engineering Keywords: solid-magnesium powder water ramjet engine; inlet structure; magnesium-water reaction; numerical simulation

Online: 17 April 2023 (03:05:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0252.v2

Neural Network Technology for Cryptographic Protection of Data Transmission at UAV

Ivan Tsmots, Vasyl Teslyuk, Andrzej Łukaszewicz, Yurii Lukashchuk, Iryna Kazymyra, Andriy Holovatyy, Yurii Opotyak

Subject: Engineering, Aerospace Engineering Keywords: neural network technology; cryptographic protection; UAV; UAS, onboard system; encryption; decryption; tabular-algorithmic method; scalar product; real time

Online: 14 April 2023 (07:13:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0290.v1

Development and Evaluation of an Enhanced Virtual-Reality Flight Simulation Tool for Airships

Mohsen Rostami, Jafer Kamoonpuri, Pratik Pradhan, Joon Chung

Subject: Engineering, Aerospace Engineering Keywords: Virtual Reality; Flight Simulation; Ground Control Station; Airship; Flight Test; Training

Online: 13 April 2023 (03:31:00 CEST)

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A real-time flight simulation tool is proposed using a Virtual Reality Head-Mounted Display (VR-HMD) for airships operating in beyond the line-of-sight (BLOS) conditions. Particularly, the VR-HMD is developed for stratospheric airships flying at low/high altitudes. The proposed flight simulation tool uses the corresponding aerodynamics characteristics of the airship, the buoyancy effect, mass balance, added mass, propulsion contributions and ground reactions in the FlightGear Fight Simulator (FGFS). The VR headset has been connected to the FGFS along with the radio controller containing the real-time orientation/state of each button that is also simulated to provide better situational awareness and a Head-Up Display (HUD) that has been developed to provide the required flight data. In this work, a system was developed to connect the FGFS and the VR-capable graphics engine, Unity, to a PC and a wireless VR-HMD in real-time with minimal lag between data transmission. A balance was found for FGFS to write to a CSV file at a period of 0.01s. For Unity, the file was read every frame which translates to around 0.0167s (60 Hz). A test procedure was also conducted with a similar rating technique based on the NASA TLX questionnaire that identifies the pilot’s spare mental capacity when completing an assigned task to assure the comfortability of the proposed VR-HMD. Accordingly, a comparison has been made for the aircraft control using the desktop simulator and the VR-HMD tool. Results, showed that the current iteration of the system is ideal to train pilots on using similar systems in a safe and immersive environment. Furthermore, such an advanced portable system may even increase the situational awareness of pilots and allow them to complete a sizeable portion of actual flight tests with the same data transmission procedures in simulation. The resulting VR-HMD flight simulator is also conceived to express the ground control station (GCS) concept and transmit flight information as well as the point of view (POV) visuals in real-time using the real environment broadcasted using an onboard camera.

Preprint ARTICLE | doi:10.20944/preprints202304.0252.v1

Neural Network Technology for Cryptographic Protection of Data Transmission at UAV

Ivan Tsmots, Vasyl Teslyuk, Andrzej Łukaszewicz, Yurii Lukashchuk, Iryna Kazymyra, Andriy Holovatyy, Yurii Opotyak

Subject: Engineering, Aerospace Engineering Keywords: neural network technology; cryptographic protection; UAV; UAS, onboard system; encryption; decryption; tabular-algorithmic method; scalar product; real time

Online: 12 April 2023 (07:32:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0190.v1

Experimental Performances Evaluation on Counter-Rotating Coaxial Performances for Multirotors

Nicola Russo, Aniello Daniele Marano, Giuseppe Maurizio Gagliardi, Michele Guida, Tiziano Polito, Francesco Marulo

Subject: Engineering, Aerospace Engineering Keywords: Multirotors; Coaxial rotors; Counter-rotating propellers; Thrust performances; Noise

Online: 11 April 2023 (04:23:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0097.v1

Fiber Bragg Grating Sensor Networks enhances the in-situ real time monitoring capabilities of MLI Thermal Blankets for Space Applications

Carlo Giovanni Ferro, Alessandro Aimasso, Matteo Davide Lorenzo Dalla Vedova, Paolo Maggiore, Matteo Bertone

Subject: Engineering, Aerospace Engineering Keywords: Aerospace, Fiber Bragg Gratings, Thermal Measurements, Thermal Control, MLI, Onboard System, Optical Fibers, Sensors Network, Smart Systems.

Online: 6 April 2023 (12:40:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0022.v1

Deep Learning Neural Network Performance on NDT Digital X-ray Radiography Images: Analyzing the Impact of Image Quality Parameters - An Experimental Study

Bata Hena, Ziang Wei, Clemente Ibarra Castanedo, Xavier Maldague

Subject: Engineering, Aerospace Engineering Keywords: non-destructive testing; deep learning; automated defect recognition (ADR); semantic segmentation; digital X-ray radiography

Online: 3 April 2023 (10:25:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0180.v1

Stick-free Flight Stability Problem Revisited: A Modeling and Simulation Approach

Ege Cagri ALTUNKAYA, Ibrahim OZKOL

Subject: Engineering, Aerospace Engineering Keywords: Stick-free flight stability; Flight dynamics; Modeling and simulation; Aircraft design; Aircraft design optimization

Online: 9 December 2022 (10:26:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0007.v1

Optimal Propellant-less Control of a Solar Sail

Andre Pittella, Timothy Sands

Subject: Engineering, Aerospace Engineering Keywords: optimal control; solar sails; Lagrange points; Pontryagin’s Principle

Online: 3 October 2022 (12:13:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202209.0193.v1

Surface Engineering of Nanomaterials: Processing and Applications

Mainak Saha

Subject: Engineering, Aerospace Engineering Keywords: nanomaterials; chemical vapour deposition; atomic layer deposition; pseudocapacitors; batteries

Online: 14 September 2022 (05:46:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0168.v1

The Use of Drones in the Spatial Social Sciences

Ola Hall, Ibrahim Wahab

Subject: Engineering, Aerospace Engineering Keywords: Drones; legislation; ethics; spatial social sciences

Online: 9 September 2021 (10:33:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0148.v1

Radical Reduction of Aircraft Fuel Consumption by Optimizing Aerofoil by New Evolutionary Algorithms

Jan Müller

Subject: Engineering, Aerospace Engineering Keywords: Evolutionary algorithms; shape of aerofoil; optimization of shape; Bezier-PARSEC model

Online: 7 June 2021 (07:54:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0238.v1

Design and Testing of the TeamIndus ECA Lunar Rover Navigation and Control

Vishesh Vatsal, Venkat Bhargav

Subject: Engineering, Aerospace Engineering Keywords: lunar, rover, navigation, control

Online: 11 May 2021 (11:06:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0527.v1

Using Convolutional Neural Networks to Automate Aircraft Maintenance Visual Inspection

Anil Dogru, Soufiane Bouarfa, Ridwan Arizar, Reyhan Aydogan

Subject: Engineering, Aerospace Engineering Keywords: Aircraft Maintenance Inspection; Anomaly Detection; Defect Inspection; Convolutional Neural Networks; Mask R-CNN; Generative Adversarial Networks; Image Augmentation

Online: 20 November 2020 (09:16:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0480.v2

Pest Animal's Detection and Habitat Identification in Low-resolution Airborne Thermal Imagery

Anwaar Ulhaq, Asim Khan

Subject: Engineering, Aerospace Engineering Keywords: invasive species; thermal imaging; habitat identification; deep learning

Online: 21 September 2020 (06:01:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0480.v1

Pest Animal's Detection, and Habitat Identification in Low-resolution Airborne Thermal Imagery

Anwaar Ulhaq

Subject: Engineering, Aerospace Engineering Keywords: invasive species; thermal imaging; habitat identification; deep learning

Online: 20 September 2020 (14:53:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0001.v1

Variable Cant Angle Winglets for Improvement of Aircraft Flight Performance

Joel Guerrero, Kevin Wittkowski, Marco Sanguineti

Subject: Engineering, Aerospace Engineering Keywords: Variable cant angle; Winglets; Drag reduction; Lift-induced drag; CFD

Online: 1 July 2019 (11:02:29 CEST)

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