Author(s)

Daniel Chen, Anish Ravindran, Pradeep Vishwabrahmanasaraf

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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.

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

D. Chen, A. Ravindran and P. Vishwabrahmanasaraf, "Reverse Engineering Closely-Spaced Free-Form Shapes for a Fabric-Over-Body Model," Engineering, Vol. 3 No. 10, 2011, pp. 1022-1029. doi: 10.4236/eng.2011.310127.