We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Computational fluid dynamics (CFD) requires a computational mesh: a subdivision of the flow region into millions of computational “cells” as a basis for making a computationally feasible discrete mathematical representations of the governing partial differential equation (PDE). Tools are needed to make a computerized geometric model of the aircraft skin, possibly extended by details of propulsion – propeller disks, jet engine intakes, and exhausts. Once the airframe geometry is defined, its exterior volume must be subdivided into small cells – the computational grid or mesh – for the numerical solution of the PDE. This was a trivial task for the 1D nozzle problem, but grid generation for detailed configurations is very demanding of the engineer's time. This chapter presents relevant details of computational geometry applied to the representation and manipulation of aircraft surfaces. The tutorial Surface Modeler indicates how this is done with open-source software. Intended to be a fail-safe unsupervisedtool in algorithmic shape optimization, automated grid generation is currently becoming a reality. This chapter uses the Sumo and TetGen tools, which take a geometry description format, specialized for aircraft, into a high-quality grid for Euler CFD, demonstrated in hands-on tutorials with many examples of generated grids.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.