Journal of Advanced Research in Aeronautics and Space Science

Thermal Decomposition & Kinetic Studies of Metal-Neutralized AP-based Solid Propellants

Uma Vellaisamy — 2026-04-01

Ammonium perchlorate is the conventional oxidiser for solid composite propellant because of its high performance. The main disadvantage is the release of toxic HCl to the environment, which is overcome by infusing metal additives, and it becomes essential to understand its effect on the combustion process. In the current study, thermal decomposition of AP solid propellants is studied by thermal analysis. Kinetics of decomposition is investigated by two iso-conversional methods, the Flynn-Wall-Ozawa Method and the Kissinger-Akahira-Sunose Method. The addition of pure or binary metal Al-Mg (5% - 10%) as additives shows a reduction in complexity of the process by reducing the number of steps involved in the combustion reaction. This is because of the interaction of metals with the decomposition products of ammonium perchlorate, which leads to the formation of metal chloride, leading to the reduced HCl in the exhaust.

Integrated Flight Simulation Technologies: Enhancing Training and Mission Readiness

Akash Khandelwal — 2026-04-01

Integrated flight simulation technologies have become fundamental tools in modern aerospace training, operational planning, and system evaluation. Advances in computational modeling, virtual and augmented reality, artificial intelligence, and high-fidelity aerodynamic/structural simulations have transformed simulators from simple procedural trainers into immersive and predictive decision-support systems. This review examines the technological evolution, system architecture, applications, and emerging trends in integrated flight simulation platforms. Emphasis is placed on their role in improving pilot proficiency, reducing operational costs, enhancing mission readiness, and supporting aerospace system development. Challenges and future directions are also discussed, including interoperability issues, model validation, human–machine interaction, and the integration of AI-driven adaptive learning frameworks.

Nano-Engineered Materials and Devices in Aerospace Engineering: Advances from Protective Coatings to Smart Sensing Systems

Anshul Khanna — 2026-04-01

Nanotechnology has become a transformative driver in modern aerospace engineering, enabling the development of lightweight, multifunctional, and highly durable materials and devices. Nano-engineered coatings improve thermal stability and erosion resistance, while nanocomposites offer exceptional mechanical performance at reduced mass. Advances in nanoscale electronics, sensors, and structural health monitoring systems further enhance aircraft and spacecraft safety and efficiency. This review highlights the latest progress in nano-applications across aerospace materials, coatings, propulsion, sensing, and system integration, focusing on performance benefits, implementation challenges, and future prospects.

Radiation-Resistant Materials for Space Applications: Design, Performance, and Testing Strategies

Sanchit Goswami — 2026-04-01

Space environments expose materials to extreme conditions, including high-energy particle radiation, vacuum, thermal cycling, and micrometeoroid impacts. Radiation-resistant materials are essential for ensuring the reliability, longevity, and safety of spacecraft, satellites, habitats, and electronic systems. This review summarises the major types of radiation-resistant materials, their mechanisms of resistance, advancements in material design, performance characteristics, and contemporary testing strategies used to qualify materials for space missions. Future trends and research opportunities are also discussed.

Roll of AI and Sensor in Aerospace: A Study

Kutubuddin Sayyad Liyakat Kazi — 2026-04-01

The ceaseless pursuit of enhanced safety, efficiency, and autonomy in aeronautics has been profoundly reshaped by the synergistic integration of advanced sensors and Artificial Intelligence (AI). This paper explores the study on the pivotal role these technologies play across the entire aerospace lifecycle, from design and manufacturing to flight operations and maintenance. Sensors, the eyes and ears of modern aircraft, provide an unprecedented volume and fidelity of real-time data, encompassing environmental conditions, structural integrity, system performance, and pilot intent. This data, ranging from traditional parameters like airspeed and altitude to complex signatures from lidar, hyperspectral imaging, and structural health monitoring systems, forms the bedrock for intelligent decision-making. AI, in turn, unlocks the potential of this data deluge, employing sophisticated algorithms for pattern recognition, anomaly detection, predictive analytics, and control system optimization. This paper delves into specific applications, including AI-powered navigation and guidance, autonomous flight systems, enhanced situational awareness for pilots, intelligent fault diagnosis and prognostics, and the optimization of air traffic management. The transformative impact of combining sensor technology with AI is demonstrably leading to more robust, adaptable, and ultimately safer aerial vehicles, paving the way for the next generation of aeronautical advancements.