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Number of Issues 17
Number of Articles 98
Number of Contributors 178
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Journal of Aerospace Defense, is an open access quarterly, double-blind peer reviewed publication which is published by Khatam Al-Anbia Air Defense Academy.   This journal is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws. All submitted manuscripts are checked for similarity through Hamyab software to ensure their authenticity to be assured about its originality and then rigorously peer-reviewed by the expert reviewers  (Read More...)


         


Original Article Maintenance and repair of the engine, wing and body of unmanned aerial vehicles/technology/construction/...

Experimental Analysis of the Energy Absorption Properties of Foam-Filled Sunflower-Inspired Honeycomb Structures Combined with Re-Entrant Geometry under Out-of-Plane Quasi-Static Loading

Pages 1-25

Reza Sarkhosh, Mohammad Kazemi Nasrabadi, Mahdi Zandieh

Abstract Introduction: Bio-inspired cellular structures and auxetic geometries have attracted considerable attention due to their superior energy absorption capabilities and deformation characteristics. However, the combined effects of sunflower-inspired radial arrangement, re-entrant geometry, and foam filling on the mechanical response and energy absorption performance of cellular structures remain largely unexplored.
Methods: This study experimentally investigates the quasi-static compressive behavior of conventional honeycomb, sunflower-inspired, and hybrid sunflower re-entrant lattice structures in both hollow and polyurethane foam-filled configurations. The specimens were fabricated using three-dimensional (3D) printing technology with polylactic acid (PLA) material and tested under quasi-static compression.
Findings: The results demonstrated that cellular geometry significantly influences the buckling mechanism, deformation stability, and energy absorption capacity. The hybrid sunflower re-entrant structure exhibited a more uniform stress distribution and a more progressive collapse mode than the conventional honeycomb structure due to its auxetic behavior and radial–spiral arrangement. Furthermore, polyurethane foam increased the initial stiffness, delayed the onset of buckling, and improved the progressive crushing behavior. The proposed structure achieved a 112% increase in energy absorption, a 6% improvement in specific energy absorption, and a 3% enhancement in crushing force efficiency compared with the conventional honeycomb structure.
Conclusion:
The synergistic combination of sunflower-inspired geometry, re-entrant auxetic configuration, and polyurethane foam filling considerably enhances the energy absorption performance and deformation stability of cellular structures, indicating significant potential for applications in aerospace, automotive, and sandwich panel systems.

Original Article Other related fields

Optimal Air Taxi Design Using Reinforcement Learning via the Q-Learning Algorithm

Pages 26-56

Iman Fozouni Talouki, Alireza Toloei

Abstract Introduction: Urban air mobility and air taxi systems have emerged as promising solutions for future transportation demands due to their potential for reducing travel time and improving transportation efficiency. However, achieving an optimal balance among aircraft weight, aerodynamic performance, fuel efficiency, and mission requirements remains a significant challenge during the conceptual design phase. Therefore, the development of intelligent optimization approaches integrated with conventional design methodologies is of considerable importance.
Methods: This study presents the optimal design of an 18-passenger air taxi through the integration of classical aircraft design methods and a Q-learning-based reinforcement learning framework. Initially, baseline parameters, including maximum takeoff weight, empty weight, fuel consumption, and wing area, were estimated using established conceptual design relations. A simulation environment was then developed in which the state space was defined by key nondimensional parameters, including thrust-to-weight ratio, wing area ratio, fuel weight ratio, and empty-weight-to-maximum-weight ratio. The action space consisted of bounded modifications to wing area, aspect ratio, and thrust-to-weight ratio. The reinforcement learning agent was trained for 2000 episodes with a maximum of 40 design steps per episode using an ε-greedy policy under a fixed mission profile defined by cruise altitude, cruise speed, range requirements, and field length constraints.
Findings: The optimization process resulted in a 3.8% reduction in wing area and a 2.1% increase in aspect ratio. Furthermore, the horizontal and vertical tail areas decreased by 2.9% and 3.2%, respectively. These geometric refinements led to reductions in empty weight (4.1%) and fuel consumption (5%). Significant improvements in aerodynamic and performance characteristics were also observed, including increases in lift-to-drag ratio (20%), rate of climb (33.3%), and cruise speed (6.7%). Consequently, the flight range increased by 14.5%.
Conclusion: The findings demonstrate that integrating classical aircraft design methodologies with reinforcement learning provides an effective and data-driven framework for improving air taxi design. The proposed approach successfully achieved simultaneous reductions in aircraft weight and fuel consumption while enhancing aerodynamic efficiency and mission performance, indicating its potential for future intelligent conceptual aircraft design applications.

Original Article Structure/mechanics of solids/dynamics of solids/vibrations/aeroelasticity/...

shear Buckling Analysis of Laminated Composite Plates Containing Matrix Cracks Using a Hybrid Approach of Higher-Order Shear Deformation Theory and Experimental Damage Model

Pages 57-83

keramat khodamorady, Keramat Malakzadeh Fard, seid mehdi nabavi, reza sarhkosh

Abstract Introduction: Multilayered composite structures are widely used in aerospace and engineering applications due to their high strength-to-weight ratio. However, their structural performance is highly sensitive to manufacturing defects, particularly matrix cracks, which can significantly reduce the critical load-bearing capacity and accelerate buckling failure under shear loading. Therefore, developing accurate analytical models capable of accounting for damage-induced stiffness degradation is essential for reliable structural design.
Methods: An advanced analytical model was developed to predict the critical shear buckling load of thick laminated composite plates containing matrix cracks. The formulation is based on a higher-order shear deformation theory (HSDT) with 11 degrees of freedom, which accurately captures the parabolic distribution of transverse shear stresses and transverse normal strain effects without requiring shear correction factors. Stiffness degradation parameters resulting from matrix cracking were directly incorporated into the model using experimental tensile test data. The governing equations were derived through the principle of minimum potential energy and solved using the Galerkin method.
Findings: The effects of matrix crack density (0–1 crack/mm), plate thickness-to-length ratio (a/h = 5–100), and fiber orientation angle (θ = 0°–90°) on the normalized critical shear buckling load and its reduction percentage were investigated. The results demonstrated that matrix cracking substantially decreases the buckling resistance of composite plates. For the [±45]s laminate configuration, a crack density of 1 crack/mm resulted in a reduction of up to 64% in the critical shear buckling load. Furthermore, the proposed analytical predictions showed excellent agreement with three-dimensional elasticity solutions and finite element simulations.
Conclusion: The developed HSDT-based analytical model provides an accurate and efficient tool for evaluating the shear buckling behavior of damaged thick composite plates. The results highlight the significant influence of matrix crack density on structural stability and demonstrate the necessity of considering experimentally determined stiffness degradation in buckling analyses of composite structures.

Advanced materials (nano materials, absorbents, adhesives, lubricants, fire retardants, etc.)

Fabrication of High-Performance Supercapacitor Based on Nickel Metal-Organic Framework /Titanium Carbide Mexen/Graphene Aerogel Nanocomposite for Use Military Devices

Volume 3, Issue 4, Winter 2025, Pages 1-20

Seyyed Mehdi Khoshfetrat, Mansur Hadadi, Mohammadreza Baezzat

Abstract Supercapacitors are gaining attention for their high-power density, long lifespan, and rapid charge-discharge capabilities (Especially its use in defense industries and military equipment). The performance of these devices heavily relies on their electrode materials. A nickel-based metal-organic framework (Ni-MOF) with a high specific surface area was synthesized to enhance energy storage. To improve electrical conductivity and capacitive properties, titanium carbide MXene (Ti3C2 MXene) and graphene (Gr) were incorporated into the MOF. This combination was deposited onto nickel foam (NF) via a hydrothermal method, which allowed for better surface area utilization by reducing aggregation between Gr and MXene layers and facilitating electrolyte transport through the conversion of graphene oxide to Gr. The inclusion of Ni-MOF also enhances the quasi-capacitive properties due to its electroactivity. The Ni-MOF/MXene/Gr/NF electrode achieved a specific capacitance of 845 F g⁻¹ in a 3 M KOH electrolyte, while the cathode (graphene aerogel integrated with activated carbon, C-GA/NF) exhibited a capacitance of 373.5 F g⁻¹. For the asymmetric supercapacitor configuration (Ni-MOF/MXene/Gr/NF‖C-GA/NF), a specific capacitance of 637 F g⁻¹, specific energy of 22.8 W h kg⁻¹, and specific power of 0.69 kW kg⁻¹ were recorded. Additionally, the device maintained 55.2% of its initial capacity after 5000 charge-discharge cycles at a current density of 8 A g⁻¹, indicating excellent stability and cycle life. Taken together, these features facilitate the use of this device in military and defense equipment.

Sound and acoustics (sound barriers, etc.)

Numerical Investigation of UAV Propeller Aeroacoustics in Low-Reynolds Number Hovering Flows

Volume 3, Issue 4, Winter 2025, Pages 75-96

Abbas Afshari, Reza Jafari Nia, Jaber Ragani Lamouki

Abstract This study presents a numerical analysis of a UAV propeller's aeroacoustic behavior under hovering conditions. The Unsteady Reynolds-Averaged Navier-Stokes (URANS) equations for incompressible flow were solved using ANSYS Fluent, with turbulence modeled using the k-ω SST approach. Far-field noise prediction was performed employing the Ffowcs Williams-Hawkings (FW-H) acoustic equation. Static pressure contours revealed extensive low-pressure regions on the blade's upper surface, particularly near the leading edge at the tip, significantly contributing to both thrust generation and loading noise. Surface pressure fluctuations were most pronounced along the leading edge, diminishing toward the trailing edge, suggesting the leading edge as the primary broadband noise source due to turbulent interaction with preceding blades. Far-field analysis showed dominant tonal noise at 100 Hz and its harmonics, with higher-order blade passing frequencies exhibiting near-linear attenuation. Directivity patterns indicated negligible tonal noise at 0° and 15° (suction side) and 165° and 180° (wake side) polar angles, while broadband noise decreased and tonal noise intensified at 90°.

Passive defense (detection, decontamination and protection and safety - chemical, biological and nuclear, etc.)

Investigating the amount of atmospheric transmission and distribution and deposition of radioactive pollutants in the radioactive waste cloud and the dose received by humans due to the nuclear bomb explosion in the central part of Iran.

Volume 3, Issue 4, Winter 2025, Pages 97-124

Zahra Dehghan bahabadi, Saeed Ghorbani Sehat

Abstract examines the extent of radioactive pollutant dispersion and radiation dose received due to hypothetical nuclear bomb explosion in central Iran using HYSPLIT and GDAS data, without considering chemical reactions. results indicate that the predominant direction of radioactive fallout is northeast, with a minor amount towards southeast of explosion site. The spread of radioactive materials reaches approximately 300 kilometers from the explosion site within 12 hours, affecting Yazd province, southern regions of South Khorasan, and northern Kerman province. Additionally, dispersion and deposition of particles, as well as dose distribution, are highly dependent on local meteorological conditions. Initially, cloud grows significantly and reaches an altitude of 5,000 meters. Over time, particles settle over time , leading to greater deposition. peak concentration of deposited particles exceeds concentration of those dispersed, with maximum concentration and deposition occurring in northeastern area about 200 kilometers from explosion site, where radiation dose received by individuals exceeds 100 millisieverts. Furthermore, the total dose received by individuals on ground at 0 meter is higher than total dose received at altitudes of 0 to 100 meters. As time passes, density of radioactive cloud decreases, subsequently reducing radiation dose received by individuals. doses received by most individuals are significantly above permissible limits set by International Commission on Radiological Protection (ICRP). In terms of radioactivity, very few areas fall within the controlled zone, while most are classified as prohibited zones. emphasizes the importance of predicting and modeling dispersion of radioactive pollutants and demonstrates that instantaneous atmospheric conditions greatly influence accuracy of predictions.

IT and cyber warfare (encryption and data security, penetration and disruption in information networks, radars, dealing with hackers, etc.)

A Novel Approach to Fake News Detection in Cyber Warfare Based on Transfer Learning and Stance Analysis

Volume 3, Issue 4, Winter 2025, Pages 21-42

Mahmood Farokhian

Abstract The spread of fake news on social networks has become a serious challenge in the fields of information and cybersecurity, particularly in the realm of passive defense. Early detection of such news can play a crucial role in improving cybersecurity and controlling the dissemination of misinformation. This paper presents a novel approach that uses the correlation between headlines and news content to identify fake news. Using deep neural networks, the headline and body of news articles are analyzed as two independent components, and their correlation is measured. We fine-tuned two BERT language models on the headline and body text as the two constituent parts of the news to determine whether there is a correlation between the news headline and body text. The results showed that this approach to fake news can enhance model accuracy compared to similar models.

Passive defense (detection, decontamination and protection and safety - chemical, biological and nuclear, etc.)

Study the effect of magnesium on the photocatalytic activity of cobalt ferrite nanopowder destruction of chemical pollution

Volume 3, Issue 4, Winter 2025, Pages 57-74

Nader Ghobadi

Abstract Cobalt ferrite with a spinel structure is an important magnetic material.‌ These materials have interesting electrical and magnetic properties with high thermal and chemical stability. In this study, ferritic compound CO1-xMgxFe2O4 was prepared with different values of X 0.0, 0.2, 0.4, 0.6 and 0.8 using a sol-gel combustion method. The crystalline structure of the prepared samples was studied using an X-ray diffraction device (XRD). The particle Morphology was studied using scanning electronic microscope (SEM). The magnetic properties of the samples were investigated by a VSM Magnetized Magnetometer device. Also, the photocatalytic activity of nanostructures prepared for the destruction of organic contamination was studied using ultraviolet-spectrometer spectroscopy. The powder diffusion pattern showed that the produced powders had a spinel crystal structure and no impurities were observed. Investigating the magnetic properties of the samples showed that, by increasing the amount of magnesium, the nature of the sample varies from hard to soft ferromagnetic. Photocatalytic results showed that these materials are capable of destroying organic colors in the presence of visible light.

plasma

Investigation of the phase matching condition in the generation of second harmonic by the Wiggler magnetic field in plasma blades in successive reflections with aerospace defense application

Volume 3, Issue 4, Winter 2025, Pages 43-56

Seyed Ali Hosseini Moradi

Abstract In this paper, the generation of the second harmonic due to the propagation of a short laser pulse in a low-density cold plasma in the presence of a Wiegler magnetic field is investigated with respect to successive collisions and reflections. Using a non-magnetic isotropic plasma, only odd harmonics can be produced. Tthe nonlinear Lorentz forces can be strengthened, which creates a transverse gradient in the electron number density, which is one of the factors producing even harmonics Next, using the perturbation theory, the components of the first and second harmonic electric field are calculated up to the first order of perturbation, and the effect of successive reflections on the amplitude of the first and second harmonic electric field, as well as the reflected power efficiency of the second harmonic, is investigated, and conclusions are drawn by analyzing the desired relationships and drawing the desired graphs.. Finally, the behavior of the harmonic field amplitude for zeroth and first order perturbation in the plasma blade is investigated for different cases and their changes are plotted in terms of different parameters and the results and optimal conditions for different applications are discussed and suggestions are made. This technology can revolutionize laser systems, electronic warfare, advanced radars, and aerospace defense in the near future. Its combination with nonlinear plasmas and the Wiggler magnetic field allows the generation and guidance of electromagnetic waves that can be effective in countering modern threats such as hypersonic missiles, stealth drones, and hostile space systems.

Structure/mechanics of solids/dynamics of solids/vibrations/aeroelasticity/...

Designing the Block of Vibration Absorbing System for Energy Supply of Carrier Rockets Using the Optimized LQR Algorithm

Volume 4, Issue 1, Spring 2025, Pages 22-48

Keramat Malakzadeh Fard, Alireza Shahi, Alireza pourmoayed

Abstract This article examines the design of active isolators using the optimal algorithm (LQR). For this purpose, the dynamic model of the satellite launch vehicle as 6 degrees of freedom has been considered. Because the satellite carrier structure has a shell with reinforced ribs and stringers, Stiffness Calculation Methods(SCM) for reinforced shells were used. Also, to calculate the final frequency of the system, the equations of motion obtained from the dynamic model of the satellite launch vehicle were used. For damp vibrations generated with a vibration amplitude of less than 100 Hz, no method in the research conducted has been proposed. In this research, for the first time, a combined system of passive and active isolators to damp vibrations introduced into the energy supply block was used. The results of the present study show that combining these two systems improves the performance of each of the passive and active systems.In this combination, according to the results obtained by this system, vibrations with a vibration amplitude of less than 50 Hz are damped by up to 88 percent, and vibrations on the energy supply block with a vibration amplitude between 50 and 500 Hz by up to 96 percent are damped.

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