Reverse Engineering Closely-spaced Free-form Shapes for A Fabric-over-body Model

Anish Ravindran, Mean-Shang Chen

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1022-1029
JournalJournal of Engineering
Volume3
Issue number10
StatePublished - Oct 30 2011

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