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Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

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FEATURE-BASED MULTIBLOCK FINITE ELEMENT MESH GENERATION.

Kiran H Shivanna¹, Srinivas C Tadepalli, Nicole M Grosland

¹Center for Computer Aided Design, The University of Iowa, Iowa City, IA 52246, USA.

Computer Aided Design

|November 16, 2010

Summary

This summary is machine-generated.

Developing hexahedral finite element meshes for anatomical structures and implants is simplified using new multi-feature data methods. This approach automates processes and enhances mesh quality for better biomedical simulations.

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Area of Science:

Biomedical Engineering
Computational Mechanics
Finite Element Analysis

Background:

Hexahedral finite element mesh generation for complex anatomical structures and biomedical implants is challenging.
Traditional methods often fail to capture intricate details accurately, leading to suboptimal models.

Purpose of the Study:

To present novel methodologies for generating hexahedral finite element meshes from multi-feature datasets.
To automate mesh generation processes for anatomical structures and orthopaedic implants.
To enhance the quality of finite element meshes for improved simulation accuracy.

Main Methods:

Development of techniques to handle multi-feature datasets, including feature edges and surfaces.
Integration of multi-feature information with multiblock meshing strategies.
Automation of projection, node, and element set creation.
Adaptation of Laplacian- and optimization-based algorithms for mesh improvement on multi-feature data.

Main Results:

Successful meshing of anatomical structures and orthopaedic implants using the proposed methods.
Significant reduction in user interaction required for model development.
Demonstrated improvement in mesh quality through adapted enhancement algorithms.

Conclusions:

The described methodologies effectively address the challenges of hexahedral finite element mesh development for complex geometries.
Automation and improved mesh quality facilitate more efficient and accurate computational modeling in biomedical applications.
This work enables easier and more reliable finite element analysis of anatomical and implant-based systems.