This comprehensive review delves into the transformative role of additive manufacturing (AM) within the aircraft industry. As a disruptive technology, AM has revolutionized the way aircraft components are designed, produced, and maintained. This article provides an in-depth analysis of AM's impact on aircraft manufacturing, emphasizing advancements in materials, processes, and the integration of AM in the aerospace supply chain. We explore the benefits, challenges, and potential future developments in the application of AM for aircraft parts, including reduced weight, enhanced fuel efficiency, and streamlined maintenance. By critically assessing the state of AM in aviation, this review aims to contribute to a deeper understanding of its current capabilities and its profound influence on shaping the future of aerospace engineering.

This study delves into the intricate world of modeling considerations for light aircraft landing gears, offering a comprehensive exploration of the factors influencing the touchdown dynamics. Utilizing advanced simulation techniques and aerodynamic principles, our research scrutinizes the complexities of light aircraft landings, with a specific focus on the design and functionality of landing gears. By examining the interplay of variables such as shock absorption, weight distribution, and material properties, this study aims to provide valuable insights for enhancing the safety and efficiency of light aircraft operations during the critical phase of landing.

This study presents a comprehensive simulation and analysis of light aircraft landing gear models, focusing on dynamics and performance optimization. The landing gear of light aircraft plays a crucial role in ensuring safe landings and takeoffs, affecting both operational efficiency and passenger comfort. Through detailed modeling and simulation using advanced computational tools, various configurations and design parameters are evaluated to enhance landing gear performance under different operational conditions. The analysis includes considerations of structural integrity, shock absorption capabilities, and overall weight optimization to achieve improved reliability and efficiency. The findings contribute to the advancement of light aircraft design and safety standards, offering insights into future developments and enhancements in landing gear technology.

The nose and nose landing gear of an aircraft are critical components that play pivotal roles in ensuring safe operations during landing, taxiing, and ground handling. This paper presents a comprehensive study focused on the design and analysis of aircraft nose and nose landing gear systems. Utilizing advanced engineering techniques and simulation methodologies, the study explores structural integrity, performance optimization, and operational efficiency considerations. Key aspects include geometric design, material selection, dynamic simulation, and stress analysis to enhance the overall reliability and functionality of these crucial aircraft components. The findings contribute to advancing aerospace engineering practices by providing insights into optimizing nose landing gear systems for improved safety, reduced maintenance costs, and enhanced operational performance.

Aircraft post-crash fires present significant challenges for engineering analysis and safety enhancement. This study introduces a predictive model designed to facilitate accurate engineering calculations in the context of full-scale aircraft post-crash fire scenarios. The model integrates key parameters such as fuel type, distribution, structural materials, and environmental conditions to simulate fire progression and intensity. Using advanced computational techniques and empirical data, the model predicts critical outcomes, including temperature distribution, structural integrity compromise, and potential survival zones. Validation of the model is achieved through comparison with historical data and controlled fire tests. The results demonstrate the model's reliability in predicting real-world fire behavior, providing a valuable tool for improving aircraft design, enhancing safety protocols, and informing emergency response strategies. This predictive model represents a significant advancement in aerospace safety engineering, offering a robust framework for mitigating the risks associated with post-crash fires.