Reverse Engineering Closely-Spaced Free-Form Shapes for a Fabric-Over-Body Model

Daniel Chen, Anish Ravindran, Pradeep Vishwabrahmanasaraf

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DOI: 10.4236/eng.2011.310127                

Abstract

This paper presents a case study of reverse engineering closely-spaced free-form shapes. The raw point cloud data captured from a body scanner was processed to filter most noise and redundancy. They were used to generate meshes through triangulation of points. Upon removal of inconsistencies resulted from residual noise, the clean-up meshes were then used to reconstruct the free-form surfaces that represented a fabric layer and a human body surface. The solid produced between these two surfaces is the fabric-over-body model. It helped generate a FEA (finite-element analysis) mesh with quality checks, such as distortion and stretch, were performed for all the meshed tetrahedral elements. The purpose is to prepare a FEA-ready model for future CFD (computational fluid dynamics) analysis.

Keywords

Reverse Engineering, Point Cloud Data, Mesh Generation, Delaunay Meshing, Quality Checks

Conflicts of Interest

The authors declare no conflicts of interest.

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