Optimized normal and distance matching for heterogeneous object modeling

Samanta, Kuntal and Özbolat, İbrahim T. and Koç, Bahattin (2014) Optimized normal and distance matching for heterogeneous object modeling. Computers & Industrial Engineering, 69 . pp. 1-11. ISSN 0360-8352 (Print) 1879-0550 (Online)

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Abstract

This paper presents a new optimization methodology of material blending for heterogeneous object modeling by matching the material governing features for designing a heterogeneous object. 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 developed with the objective is 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 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 equal number of segments, a series of intermediate piecewise curves are generated to represent the material metamorphosis between the governing material features. Alternatively, a dynamic programming approach developed in our earlier work is presented for comparison purposes. Result and 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.
Item Type: Article
Uncontrolled Keywords: Heterogeneous object modeling, normal and distance matching, curved matching, ruled surface, metamorphosis
Subjects: T Technology > TS Manufactures
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
R Medicine > R Medicine (General) > R856-857 Biomedical engineering. Electronics. Instrumentation
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Depositing User: Bahattin Koç
Date Deposited: 10 Dec 2014 11:44
Last Modified: 31 Jul 2019 09:16
URI: https://research.sabanciuniv.edu/id/eprint/26172

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