Vol.125, No.2, 2020, pp.597-610, doi:10.32604/cmes.2020.09965
Inverse Construction Methods of Heterogeneous NURBS Object Based on Additive Manufacturing
  • Ting Zang1, Dongbin Zhu2,*, Guowang Mu1
1 School of Science, Hebei University of Technology, Tianjin, 300130, China
2 School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China
* Corresponding Author: Dongbin Zhu. Email: zhudongbin@hebut.edu.cn
(This article belongs to this Special Issue: Design & simulation in Additive Manufacturing)
Received 31 January 2020; Accepted 15 June 2020; Issue published 12 October 2020
According to the requirement of heterogeneous object modeling in additive manufacturing (AM), the Non-Uniform Rational B-Spline (NURBS) method has been applied to the digital representation of heterogeneous object in this paper. By putting forward the NURBS material data structure and establishing heterogeneous NURBS object model, the accurate mathematical unified representation of analytical and free heterogeneous objects have been realized. With the inverse modeling of heterogeneous NURBS objects, the geometry and material distribution can be better designed to meet the actual needs. Radical Basis Function (RBF) method based on global surface reconstruction and the tensor product surface interpolation method are combined to RBF-NURBS inverse construction method. The geometric and/or material information of regular mesh points is obtained by RBF interpolation of scattered data, and the heterogeneous NURBS surface or object model is obtained by tensor product interpolation. The examples have shown that the heterogeneous objects fitting to scattered data points can be generated effectively by the inverse construction methods in this paper and 3D CAD models for additive manufacturing can be provided.
NURBS; heterogeneous object; inverse construction method; RBF; scattered data points
Cite This Article
Zang, T., Zhu, D., Mu, G. (2020). Inverse Construction Methods of Heterogeneous NURBS Object Based on Additive Manufacturing. CMES-Computer Modeling in Engineering & Sciences, 125(2), 597–610.
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