Aircraft Aerodynamic Design / Aerospace Series (PEP) (PDF)

Optimal aircraft design is impossible without a parametric
representation of the geometry of the airframe. We need a
mathematical model equipped with a set of controls, or design
variables, which generates different candidate airframe shapes in
response to changes in the values of these variables. This model's
objectives are to be flexible and concise, and capable of yielding
a wide range of shapes with a minimum number of design variables.
Moreover, the process of converting these variables into aircraft
geometries must be robust. Alas, flexibility, conciseness and
robustness can seldom be achieved simultaneously.

Aircraft Aerodynamic Design: Geometry and Optimization
addresses this problem by navigating the subtle trade-offs between
the competing objectives of geometry parameterization. It
beginswith the fundamentals of geometry-centred aircraft design,
followed by a review of the building blocks of computational
geometries, the curve and surface formulations at the heart of
aircraft geometry. The authors then cover a range of legacy
formulations in the build-up towards a discussion of the most
flexible shape models used in aerodynamic design (with a focus on
lift generating surfaces). The book takes a practical approach and
includes MATLAB®, Python and Rhinoceros® code, as well as
'real-life' example case studies.

Key features:

* Covers effective geometry parameterization within the context
of design optimization

* Demonstrates how geometry parameterization is an important
element of modern aircraft design

* Includes code and case studies which enable the reader to apply
each theoretical concept either as an aid to understanding or as a
building block of their own geometry model

* Accompanied by a website hosting codes

Aircraft Aerodynamic Design: Geometry and Optimization is
a practical guide for researchers and practitioners in the
aerospace industry, and a reference for graduate and undergraduate
students in aircraft design and multidisciplinary design
optimization.