Optimized normal and distance matching for heterogeneous object modeling

  • Authors:
  • Kuntal Samanta;Ibrahim T. Ozbolat;Bahattin Koc

  • Affiliations:
  • Siemens PLM Software, India Headquarters, Gurgaon 122002, Haryana, India;Mechanical and Industrial Engineering Department, The University of Iowa, 2130 Seamans Center, Iowa City, IA 52242, USA and Center for Computer-Aided Design, The University of Iowa, 216 Engineerin ...;Faculty of Engineering and Natural Sciences, Sabanci University, FENS G013 Orhanli-Tuzla, Istanbul 34956, Turkey

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a new optimization methodology of material blending for heterogeneous object modeling by matching the material-governing features. The proposed method establishes point-to-point correspondence represented by a set of connecting lines between two material directrices. To blend the material features between the directrices, a heuristic optimization method is developed to maximize the sum of the inner products of the unit normals at the end points of the connecting lines and minimize the sum of the lengths of the connecting lines. The geometric features with material information are matched to generate non-self-intersecting and non-twisted connecting surfaces. By subdividing the connecting lines into an equal number of segments, a series of intermediate piecewise curves is generated to represent the material metamorphosis between the governing material-features. A dynamic programming approach developed in our earlier work is presented for comparison purposes, and the computational efficiency of the proposed heuristic method is also compared with earlier techniques in the literature. Computer interface implementation and illustrative examples are also presented in this paper.