scholarly journals Sequential feature‐based mesh movement and adjoint error‐based mesh refinement

2020 ◽  
Vol 93 (1) ◽  
pp. 249-272
Author(s):  
Guglielmo Vivarelli ◽  
Ning Qin ◽  
Shahrokh Shahpar ◽  
David Radford
Keyword(s):  
Mesh Refinement ◽  
Mesh Movement ◽  
Feature Based

scholarly journals Entropy-Based Mesh Refinement, II: A New Approach to Mesh Movement

2009 ◽  
Author(s):  
Daniel Zaide ◽  
Philip Roe
Keyword(s):  
Mesh Refinement ◽  
New Approach ◽  
Mesh Movement

scholarly journals Feature-based adaptive mesh refinement for wingtip vortices

2010 ◽  
Vol 66 (10) ◽  
pp. 1274-1294 ◽  
Author(s):  
N. Kasmai ◽  
D. Thompson ◽  
E. Luke ◽  
M. Jankun-Kelly ◽  
R. Machiraju
Keyword(s):  
Adaptive Mesh Refinement ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Feature Based

Using Feature-Based Mesh Adaptation to Improve the Adjoint Optimisation of Transonic Compressor Blades

2020 ◽  
Author(s):  
Alistair John ◽  
Guglielmo Vivarelli ◽  
Ning Qin ◽  
Shahrokh Shahpar
Keyword(s):  
Mesh Adaptation ◽  
Blade Design ◽  
Compressor Blades ◽  
Fine Grid ◽  
Transonic Compressor ◽  
Mesh Movement ◽  
Flow Features ◽  
Feature Based ◽  
First Time ◽  
Adaptation Method

Abstract The benefit of mesh adaptation to improve the optimisation process of turbomachinery components is here demonstrated for the first time. Mesh movement is used to automatically cluster and align the cells with significant flow features such as shocks, shock-induced separation and wakes for every geometry tested during a transonic compressor blade optimisation. Using mesh movement means that the same size grid is used while significantly improving the accuracy of the simulation and resulting adjoint gradients. A method is demonstrated to automatically carry out feature based mesh movement during every step of an adjoint optimisation process. Optimisations are carried out using the adaptation method and also using the starting mesh as a comparison. It is shown that (when tested on a very fine grid) the adaptation-optimisation process results in a better design, due to more accurate flow and gradient prediction throughout the optimisation process. A cost breakdown of the process is given to show that using adaptation during the optimisation process only increases the overall optimisation cost by a small amount, but results in greater efficiency of the final blade design.

Efficient Adjoint-Based Mesh Adaptation Applied to Turbo-Machinery Flows

2018 ◽  
Author(s):  
Guglielmo Vivarelli ◽  
Ning Qin ◽  
Shahrokh Shahpar ◽  
David Radford
Keyword(s):  
Mesh Refinement ◽  
Mesh Adaptation ◽  
Spring Stiffness ◽  
Mesh Movement ◽  
Industrial Setting ◽  
Flow Features ◽  
Refinement Procedure ◽  
Turbo Machinery ◽  
Quantities Of Interest

Within an industrial setting, mesh adaptation has so far found very limited use. This is, in part, due to the complexity of the geometries and flow features that are to be dealt with. However, the successful utilisation of grid modification techniques, could help engineers achieve more accurate estimates of quantities of interest quickly and efficiently. For this reason, in this paper, adjoint error mesh adaptation technology is developed and applied to steady-3D turbo-machinery solutions. The grid modification strategy proposed comprises of a combined mesh movement and mesh refinement procedure, entirely based on errors related to the functional of interest. The node addition scheme makes use of the output to the flow adjoint solver and an interpolation to an embedded grid. The determined error is used in an edge-refinement approach developed in the in-house MeshPost software. The mesh relocation technique, instead, employs the sensitivity of the functional of interest with respect to the nodes’ coordinates to compute a Riemmannian metric. This parameter is then equi-distributed over the mesh by applying a spring-stiffness approach.

An Inability to Set Independent, Feature-Based Attention Sets By Hemisphere

2011 ◽  
Author(s):  
Mark W. Becker ◽  
Susan M. Ravizza
Keyword(s):  
Feature Based

What you like is what has decreased: Feature-based perception of the scarcity enhances object value

2013 ◽  
Author(s):  
Atsunori Ariga ◽  
Atsuko Inoue
Keyword(s):  
Feature Based

Supervised Feature Based Malicious Profile Detection System in Online Social Media

2019 ◽  
Vol 7 (6) ◽  
pp. 164-171
Author(s):  
Ms. Anamika Joshi ◽  
Dr. D.S. Bhilare
Keyword(s):  
Social Media ◽  
Detection System ◽  
Online Social Media ◽  
Feature Based

Feature-based recognition of trabecular microstructure using 1.5T magnetic resonance imaging: a new methodology

2015 ◽  
Author(s):  
Paul Dimitri ◽  
Karim Lekadir ◽  
Corne Hoogendoorn ◽  
Paul Armitage ◽  
Elspeth Whitby ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Trabecular Microstructure ◽  
Feature Based

Optimization of Formant Feature Based Speech Recognition

Informatica ◽  
2010 ◽  
Vol 21 (3) ◽  
pp. 361-374 ◽  
Author(s):  
Antanas Lipeika
Keyword(s):  
Speech Recognition ◽  
Feature Based

Feature-Based Registration of Thorax CT Scan Slices

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 439-452
Author(s):  
Mykolas J. Bilinskas ◽  
Gintautas Dzemyda ◽  
Mantas Trakymas
Keyword(s):  
Ct Scan ◽  
Feature Based ◽  
Thorax Ct
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