Enhancement of Turbulence Models for Airframe Flow Simulations

The numerical simulation of turbulent flows is an important component in the process of the aircraft aerodynamic design and development. The computational Fluid Dynamics (CFD) solvers used for predicting the aerodynamic forces and moments should be capable of accurately predicting turbulence effects. Such accuracy is crucial to efficiently design aircrafts with improved quality and performance.

Aircraft optimization and sizing methodologies

The proposed research project concerns the development of optimization tools and sizing methodologies used to assess optimal structural airframe configurations and aerodynamic lines for given business cases. A PDF intern will be in charge of proposing improved optimization strategies, mainly related to composite material, and of adding specific capabilities inside the internally developed sizing tool (LibStress) with the aim to increase the reliability and accuracy of the optimization models.

Chemical nanosynthesis of laser filters for aviation applications

Protection from laser light has become increasingly important due to the proliferation of cheaper and more powerful laser systems, especially in regards to interference with aircraft operations. Laser attacks, otherwise known as laser illuminations can be serious safety risks for aircraft operations as it can cause temporary flash blindness or irreversible injuries to the eyes of the pilot during takeoff or touchdown. Such incidents are increasing at an alarming average annual rate of 63% over the past ten years.

Test Automation with TTCN-3

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete event aspects of avionics systems. This project will be used to improve verification and validation of CMC Electronics' innovative new avionics designs.

Improving Efficiency of Operations in Paint Shop and Pre-flight Processes at Bombardier Aerospace Company

The principles of lean engineering design are well documented for the automotive industry – where they have served to revolutionize the efficiencies of North American manufacturing operations. Lean engineering has subsequently been transferred into other sectors – where it continues to generate impressive results. The aerospace industry is faced with demands for efficiency of operations, and the throughput of existing plant operations are being challenged to meet increased needs for aircraft to support the growth of emerging markets, and the need for more fuel efficient aircraft.

Cold Spray Coatings Qualification for Repair of Aerospace Parts

Many aerospace parts on Boeing aircrafts cannot currently be easily repaired when damaged during operation due to the lack of existing economical-practical repair technologies. For example, damaged aluminum coatings or chromium plating require that the coating/plating be completely removed and then reapplied, an extremely costly and time consuming process.

Improving Coordination between Engineering Departments through Process Mapping and Analysis

The objective of the proposed project is to map all engineering processes involved in aeroelasticity calculations at Bombardier Aerospace and develop methods for holistic analysis and improvement of the aeroelasticity process, for the sake of performing better overall improvements and more realistic quantitative validations of those improvements. Existing methods and techniques for process mapping will be considered to develop a process framework which will be adapted to perform analysis and provide improvements to the process.

System identification and control of fixed wing unmanned aerial vehicles

MicroPilot, a company located in Manitoba, is specialized in design and manufacturing of autopilot systems for unmanned aerial vehicles (UAVs). The company’s interest is to develop accurate simulation models of various UAVs, upon which the autopilot systems are tuned and verified first. The goal of this project is to evaluate and improve the model structure adopted, and develop appropriate tools for extracting accurate models to be used by the simulation.

Advanced text clustering algorithm for aircraft applications

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences of defects previously reported. These are assembled into clusters, each of which is called a ‘chronic’. ChronicX performs reasonably well, but it has limitations that we believe can be improved.

Shot peening for fatigue life improvement and forming of aerospace structures

The principle objective of this collaborative project is to develop in collaboration with the industrial partners novel methodologies for characterizing the shot peening and peen forming processes. One part of the program is devoted to establish analytical and numerical models for the prediction of the shot peening and peen forming processes. Experimental campaigns are planned in order to qualify the effect of the shot peening parameters on the peening results as well as to validate the developed models.