On the one hand, new generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire (FBW) controller.
The proposed project will contribute to Bombardiers research initiative Virtual Aircraft with the overall objective to improve modelling and simulation throughout the development process to enable innovation and reduce development risk to extensive design space exploration.
The objective of the project is to develop models of thermal aspects, traditionally investigated later in the design, when the aircraft architecture is already defined, to enable the development of an aircraft thermal architecture analysis and optimization.
New generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire controller. This requires control law design that take into account the flexible dynamics. Robust control techniques have been investigated over the past 20 years for this purpose. They result in highly complex black box dynamical controller with a large number of states. It requires strong efforts to simplify the controller.
Composite materials have been increasingly used in todays aerospace products such as Bombardier CSeries and Boeing787 airplanes. A widely used composite manufacturing process is Automated Fiber Placement (AFP) utilizing robotics, precision control, and other high tech tools. Quality requirements for aerospace products are at very high level for product safety and performance. Statistical quality control have been widely used for many decades in automotive, aerospace and other manufacturing as well as service industries.
Composite structures are vulnerable to impact damage, and have to satisfy certification procedures for high velocity impact from bird strike and foreign object damage. Since performing full scale impact tests is highly expensive and thus impractical, the development of validated analytical tools for the prediction of the structural response is essential for the industry to reduce development costs and to speed up the development process.
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