Automatic unstructured mesh generation with geometry attribution

Steve Karman; Nick Wyman

doi:10.2514/6.2019-1721

Automatic unstructured mesh generation with geometry attribution

Steve Karman, Nick Wyman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

A process is described that automatically creates unstructured meshes from water-tight geometry input. The mesh is constructed using Pointwise via the Glyph scripting language. Without any instructions from a user, isotropic tetrahedral meshes are produced. With instructions provided via geometry attribution, the meshing process can be guided to produce a mesh more aligned with the user’s intent. Examples are included that demonstrate automatic meshing for geometry with and without attribution.

Original language	English
Title of host publication	AIAA Scitech 2019 Forum
Publisher	American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)	9781624105784
DOIs	https://doi.org/10.2514/6.2019-1721
State	Published - 2019
Externally published	Yes
Event	AIAA Scitech Forum, 2019 - San Diego, United States Duration: Jan 7 2019 → Jan 11 2019

Publication series

Name	AIAA Scitech 2019 Forum

Conference

Conference	AIAA Scitech Forum, 2019
Country/Territory	United States
City	San Diego
Period	01/7/19 → 01/11/19

Funding

Funding for development of the automatic mesh generation capability through Glyph scripting in Pointwise was provided by Massachusetts Institute of Technology as a subcontract of the U. S. Air Force Contract FA8650-14-C-2472 “Computational Aircraft Prototype Syntheses (CAPS)”. This usps ipgatlyorpe rcapitaed.re

Funders	Funder number
U.S. Air Force	FA8650-14-C-2472
Massachusetts Institute of Technology

Access to Document

10.2514/6.2019-1721

Cite this

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title = "Automatic unstructured mesh generation with geometry attribution",

abstract = "A process is described that automatically creates unstructured meshes from water-tight geometry input. The mesh is constructed using Pointwise via the Glyph scripting language. Without any instructions from a user, isotropic tetrahedral meshes are produced. With instructions provided via geometry attribution, the meshing process can be guided to produce a mesh more aligned with the user{\textquoteright}s intent. Examples are included that demonstrate automatic meshing for geometry with and without attribution.",

author = "Steve Karman and Nick Wyman",

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doi = "10.2514/6.2019-1721",

language = "English",

isbn = "9781624105784",

series = "AIAA Scitech 2019 Forum",

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AU - Karman, Steve

AU - Wyman, Nick

PY - 2019

Y1 - 2019

N2 - A process is described that automatically creates unstructured meshes from water-tight geometry input. The mesh is constructed using Pointwise via the Glyph scripting language. Without any instructions from a user, isotropic tetrahedral meshes are produced. With instructions provided via geometry attribution, the meshing process can be guided to produce a mesh more aligned with the user’s intent. Examples are included that demonstrate automatic meshing for geometry with and without attribution.

AB - A process is described that automatically creates unstructured meshes from water-tight geometry input. The mesh is constructed using Pointwise via the Glyph scripting language. Without any instructions from a user, isotropic tetrahedral meshes are produced. With instructions provided via geometry attribution, the meshing process can be guided to produce a mesh more aligned with the user’s intent. Examples are included that demonstrate automatic meshing for geometry with and without attribution.

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U2 - 10.2514/6.2019-1721

DO - 10.2514/6.2019-1721

M3 - Conference contribution

AN - SCOPUS:85083942996

SN - 9781624105784

T3 - AIAA Scitech 2019 Forum

BT - AIAA Scitech 2019 Forum

PB - American Institute of Aeronautics and Astronautics Inc, AIAA

T2 - AIAA Scitech Forum, 2019

Y2 - 7 January 2019 through 11 January 2019

ER -

Automatic unstructured mesh generation with geometry attribution

Abstract

Publication series

Conference

Funding

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