2000
DOI: 10.1016/s0010-4485(00)00046-4
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Multiple material objects: from CAD representation to data format for rapid prototyping

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Cited by 56 publications
(45 citation statements)
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“…Jackson et al proposed a local composition control (LCC) approach to represent heterogeneous object in which a mesh model is divided into tetrahedrons and different material compositions are evaluated on the nodes of the tetrahedrons by using Bernstein polynomials [3,4]. Chiu [5] developed material tree structure to store different compositions of an object. The material tree was then added to a data file to construct a modified format being suitable for RP manufacturing.…”
Section: Review Of Previous Researchmentioning
confidence: 99%
“…Jackson et al proposed a local composition control (LCC) approach to represent heterogeneous object in which a mesh model is divided into tetrahedrons and different material compositions are evaluated on the nodes of the tetrahedrons by using Bernstein polynomials [3,4]. Chiu [5] developed material tree structure to store different compositions of an object. The material tree was then added to a data file to construct a modified format being suitable for RP manufacturing.…”
Section: Review Of Previous Researchmentioning
confidence: 99%
“…al. developed material tree structure to store different compositions of an object (Chiu (2000)). The material tree was then added to a data file to construct a modified format suitable for RP manufacturing.…”
Section: Introductionmentioning
confidence: 99%
“…Jackson et al proposed a local composition control (LCC) approach to represent heterogeneous object in which a mesh model was divided into tetrahedrons and different material compositions were evaluated on the nodes of the tetrahedrons by using Bernstein polynomials [3,4]. Chiu [5] developed material tree structure to store different compositions of an object. The material tree was then added to a data file to construct a modified format suitable for RP manufacturing.…”
Section: Introductionmentioning
confidence: 99%