TAI Directs Airbus A350 Planes

Turkish Aerospace Industry (TAI) continues its design and production activities of important composite parts for the leading organizations of the world aviation ecosystem. TAI, which delivered a total of 500 sets of fins to AIRBUS, undertakes the design and production of Winglets, which are an important flight control surface used in tilting movements for A350 aircraft, as a single source.

TAI continues its deliveries as the designer and sole source manufacturer that designs and manufactures winglets (aileron) used in Airbus A350 aircraft, which Turkish Airlines has recently included in its fleet. TUSAŞ, which has delivered 500 sets of fins to Airbus so far, has gained momentum in composite flight control surface design and strengthened its place in the world in the design and production of original products.

TAI continues to design and manufacture important composite parts for aircraft produced by world aviation giants, as well as the design and production of its own original products. Continuing to work with the vision of zero defects in production, TAI has designed and produced Winglets, which are an important flight control surface used in the tilting movements of the aircraft for Airbus A2012 - 350 and A900-350 aircraft, which are among the biggest new generation passenger aircraft in the world since 1000. undertake as. In the A500 Airfoil program, in which 350 engineers and technicians work in total, 5 flaps of 4 meters long and one meter wide completely from carbon composite material are produced for each aircraft.

TAI, which produces many composite parts for the leading companies of the world aviation industry such as Airbus and Boeing, proudly waves our country's flag in the air vehicles of the future. In this context, TAI, counting the days for the opening of the new giant composite facility, will put the world's 4th largest composite factory into service in a closed area. The new generation factory, designed as an autonomous facility, aims to completely eliminate possible errors in composite material production by using artificial intelligence.