
Nanotechnology has emerged as a transformative force in aeronautical engineering, offering the potential to drastically improve the strength, weight, thermal stability, and durability of aircraft materials. Despite their great performance, conventional aerospace materials like titanium, carbon fiber composites, and aluminium alloys have limitations with regard to temperature tolerance, corrosion behavior, and fatigue resistance. This paper explores the integration of nanomaterials—such as carbon nanotubes (CNTs), graphene, and nano-ceramic reinforcements—into aircraft structural components, coatings, and propulsion systems. Through computational modeling and experimental trials using MATLAB and ANSYS, mechanical and thermal behaviors of nanocomposite structures were analyzed under high-stress flight conditions. Results indicate that CNT-reinforced composites improved tensile strength by 25%, reduced material weight by up to 15%, and enhanced fatigue life by nearly 40%. Moreover, nano-ceramic coatings demonstrated superior oxidation resistance and thermal protection on turbine blades. The findings affirm that nanotechnology can enable next-generation aircraft that are lighter, safer, and more energy-efficient, marking a new era in aeronautical materials design and performance optimization.
Nanotechnology, aeronautical materials, carbon nanotubes, graphene, nano-coatings, composite structures, fatigue life, ANSYS simulation, thermal resistance, aerospace engineering
Nanotechnology, aeronautical materials, carbon nanotubes, graphene, nano-coatings, composite structures, fatigue life, ANSYS simulation, thermal resistance, aerospace engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
