Airframe design is strongly linked to aircraft mission and performance. This module will cover the influences of these for subsonic, fixed wing aircraft in order to design airframes and their controls to deal with a range of ‘dead’ and ‘live’ loads through the complete flight envelope. This module will develop students’ ability and confidence to use practical, mathematical and numerical methods to analyse and solve a set of requirements related to aero-structures and flight mechanics, and to judge the validity of their solutions.
This links to the requirements for students in the QAA Materials benchmark statement 2017 of “fluency in mathematics, and familiarity with a range of mathematical and computational methods, for expressing the laws of science, for formulating and solving problems” and the AHEP3 learning outcomes
Learning Outcomes
Upon successful completion of this module, students
Will be able to describe the configurations and designs of fixed-wing aircraft and discuss their performance in a range of operating environments.
Will be able to analyse the loads on an airframe to suggest suitable airframe configurations
Will be able to analyse flight dynamics problems and translate them into systems of equations (with appropriate simplification where needed).
Will be able to apply methods for working with differential equations and vectors/matrices to solve systems of equations developed.
Will be able to apply their comprehension of solving flight dynamics problems numerically using a computer language Will be able to measure, analyse and write up ‘ loads experimentally through laboratory classes.
Will be able to verify the dimensional consistency of solutions and explain their trustworthiness.
AHEPV4:
Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Some of the knowledge will be at the forefront of the particular subject of study (C1)
Analyse complex problems to reach substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles (C2)
Select and apply appropriate computational and analytical techniques to model complex problems, recognising the limitations of the techniques employed (C3)
Design solutions for complex problems that meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards (C5)
Apply an integrated or systems approach to the solution of complex problems (C6/M6)
Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity (C9/M9)
Adopt a holistic and proportionate approach to the mitigation of security risks (C10/M10)
Use practical laboratory and workshop skills to investigate complex problems (C12/M12)
Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations (C13/M13)
Discuss the role of quality management systems and continuous improvement in the context of complex problems (C14/M14)
Apply knowledge of engineering management principles, commercial context, project and change management, and relevant legal matters including intellectual property rights (C15/M15)