TAI focused on new technologies for national aircraft projects

According to the information obtained by the AA correspondent, TAI determined new areas for the R&D projects included in the Technology Road Map / Acquisition Plan and planned to be carried out with its stakeholders on priority technology issues.

In this context, the titles of Coating Aluminum Parts with Boron-Containing Structures, Development of Cognitive Pilot Models, Development of Worst Case Working Time Analysis Tool for Satellite Platforms, Laser (Measurement Instrument) Integrated Assembly Fixture Control System and Software Design were added to the ongoing studies.

Projects deemed appropriate to be implemented in these matters will be implemented with the appropriate model (R&D support, TÜBİTAK 2244 Industry Doctorate Program, Researcher Training Program for Defense Industry, TAI’s equity budget, and so on).

One of the fields of study that TAI has on its agenda is the “Coating of Aluminum Parts with Boron-Containing Structures Project”. Surface coatings are applied to increase the corrosion resistance of the aluminum parts used in the aircraft and to ensure the adhesion of the paint to the surface. Boron compounds are known to have anti-corrosion properties when applied to metal surfaces. In addition, boron compounds have superior physical properties such as fire retardant, electrical insulation or semiconductivity. In aviation, forming an oxide structure on aluminum with electrochemical methods is widely used.

Under the title of Coating Aluminum Parts with Boron-Containing Structures, it is expected that aluminum parts will be coated with boron-containing materials and confirmed by tests, instead of traditional chemical surface treatments applied in aviation.

Thinking model like pilots

TAI also aims at technology acquisition on “Development of Cognitive Pilot Models”.

In environments such as simulators, embedded training systems, and operational analysis tools, decision models that will provide realistic movement of enemy or friendly forces are not sufficient. Fully autonomous mission profiles need to act like highly skilled pilots. For this solution, it is imperative to establish a decision support system that will make the right decision at the right time and at all levels.

In order to teach pilot behavior in dynamic flight data by modeling it in an artificial neural network (explainable artificial intelligence), it is necessary to develop artificial intelligence-based cognitive pilot models from high-level decisions to low-level decisions. At the end of the project, it is aimed to bring a model that can realize the desired operation scenario in the simulation environment in a way that meets the specified success criteria.

Precise forecast for the worst case

Estimating the worst case execution time of time-critical software on determined hardware platforms is important in terms of reliability, qualification and certification of aircraft and spacecraft. Static, measurement-based, statistical probability-based and hybrid methods stand out in determining the upper limit of the worst case execution time. Especially measurement-based analysis on the target hardware causes performance problems to be detected late. The fact that these analyzes can be performed statically without the limitation of the target hardware during the development phase makes a significant contribution to the early detection of risks and problems that may occur.

When analysis tools integrated into existing performance and certification tools do not meet this need, they require process re-design, coding, and hardware solutions in software. Due to the increasing software / hardware needs of this period, these durations need to be estimated more precisely in air and space vehicles. With the call for Developing Worst Case Runtime Analysis Tool for Satellite Platforms, it is aimed to reach a software solution that can statically analyze the effective and realistic worst case runtime upper limits of real-time, complex algorithm and resource constrained software for satellite platforms for these target hardware platforms. .

Large aircraft parts will be assembled quickly and precisely

Another project that TAI aims to implement with its stakeholders is the Design of Laser (Measurement Tool) Integrated Mounting Fixture Control System and Software.

The sub-assembly of the aircraft is carried out with the assembly of large body parts, moving the body parts to the correct position, placing them and bringing them to the relevant assembly index, using standard methods, by controlling each mechanical actuator individually, the assembly precision of the personnel and the intense coordination of the personnel with each other for long periods.

On the other hand, in today’s assembly lines, due to increasing customer orders, there is a need for more flexible and shorter time to automatically place body parts and bring them to the assembly index. With the integrated mounting fixture control system and software supported by laser measurement, it is aimed to assemble large body parts in a short time, automatically and precisely.