An approach to representing heterogeneous non-uniform rational B-spline objects

Ting Zang , Anping Xu

Transactions of Tianjin University ›› 2011, Vol. 17 ›› Issue (4) : 275 -279.

PDF
Transactions of Tianjin University ›› 2011, Vol. 17 ›› Issue (4) : 275 -279. DOI: 10.1007/s12209-011-1629-x
Article

An approach to representing heterogeneous non-uniform rational B-spline objects

Author information +
History +
PDF

Abstract

The representation method of heterogeneous material information is one of the key technologies of heterogeneous object modeling, but almost all the existing methods cannot represent non-uniform rational B-spline (NURBS) entity. According to the characteristics of NURBS, a novel data structure, named NURBS material data structure, is proposed, in which the geometrical coordinates, weights and material coordinates of NURBS heterogeneous objects can be represented simultaneously. Based on this data structure, both direct representation method and inverse construction method of heterogeneous NURBS objects are introduced. In the direct representation method, three forms of NURBS heterogeneous objects are introduced by giving the geometry and material information of control points, among which the homogeneous coordinates form is employed for its brevity and easy programming. In the inverse construction method, continuous heterogeneous curves and surfaces can be obtained by interpolating discrete points and curves with specified material information. Some examples are given to show the effectiveness of the proposed methods.

Keywords

heterogeneous object / non-uniform rational B-spline (NURBS) / material data structure / direct representation method / inverse construction method

Cite this article

Download citation ▾
Ting Zang, Anping Xu. An approach to representing heterogeneous non-uniform rational B-spline objects. Transactions of Tianjin University, 2011, 17(4): 275-279 DOI:10.1007/s12209-011-1629-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Pasko A., Adzhiev V., Comninos P. Heterogeneous Objects Modeling and Applications[M]. 2008, Germany: Springer.

[2]

Kou X. Y., Tan S. T. Heterogeneous object modeling: A review[J]. Computer-Aided Design, 2007, 39(4): 284-301.

[3]

Wu X. J., Liu W. J., Michael Y. W. A CAD modeling system for heterogeneous object[J]. Advances in Engineering Software, 2008, 39(5): 444-453.

[4]

Kumar V., Burns D., Dutta D., et al. A framework for object modeling[J]. Computer-Aided Design, 1999, 31(9): 541-556.

[5]

Jackson T. R., Liu H., Patrikalakis N. M., et al. Modeling and designing functionally graded material components for fabrication with local composition control[J]. Materials and Design, 1999, 20(2/3): 63-75.

[6]

Xu A. P., Shaw L. L. Equal distance offset approach to representing and process planning for solid freeform fabrication of functionally graded materials[J]. Computer-Aided Design, 2005, 37(12): 1308-1318.

[7]

Xu A P, Zang T, Ji Z P et al. HO-CAD: A CAD system for heterogeneous objects modeling based on ACIS and HOOPS[C]. In: The 2nd International Conference on Intelligent Networks and Intelligent Systems (ICINIS’ 09). Tianjin, China, 2009.

[8]

Xu A. P., Zang T., Ji Z. P., et al. Heterogeneous object modeling approach based on ACIS and HOOPS [J]. Key Engineering Materials, 2010, 419/420, 793-796.

[9]

Ozbolat I. T., Koc B. Multi-directional blending for heterogeneous objects[J]. Computer-Aided Design, 2011, 43(8): 863-875.

[10]

Gupta V., Kasana K. S., Tandon P. Computer aided design modeling for heterogeneous objects[J]. International Journal of Computer Science Issues, 2010, 7(2): 31-35.

[11]

Zhou H. M., Liu Z. G., Lu B. H. Heterogeneous object modeling based on multi-color distance field[J]. Materials and Design, 2009, 30(4): 939-946.

[12]

Kou X. Y., Tan S. T., Sze W. S. Modeling complex heterogeneous objects with non-manifold heterogeneous cells[J]. Computer-Aided Design, 2006, 38(5): 457-474.

[13]

Pasko A., Shapiro V. Heterogeneous object models and their applications[J]. Computer-Aided Design, 2005, 37(3): 285

[14]

Jie C., Feng L. Approach of heterogeneous bio-modeling based on material features[J]. Computer-Aided Design, 2005, 37(11): 1115-1126.

[15]

Kou X. Y., Tan S. T. A hierarchical representation for heterogeneous object modeling[J]. Computer-Aided Design, 2005, 37(3): 307-319.

[16]

Wang M. Y., Wang X. M. A level-set based variational method for design and optimization of heterogeneous objects[J]. Computer-Aided Design, 2005, 37(3): 321-337.

[17]

Liu H., Maekawa T., Patrikalakis N. M., et al. Methods for feature-based design of heterogeneous solids[J]. Computer-Aided Design, 2004, 36(12): 1141-1159.

[18]

Chen K. Z., Feng X. A. CAD modeling for the components made of multi heterogeneous materials and smart materials[J]. Computer-Aided Design, 2004, 36(1): 51-63.

[19]

Biswas A., Shapiro V., Tsukanov I. Heterogeneous material modeling with distance fields[J]. Computer-Aided Geometric Design, 2004, 21(3): 215-242.

[20]

Chen K. Z., Feng X. A. Computer-aided design method for the components made of heterogeneous materials[J]. Computer-Aided Design, 2003, 35(5): 453-466.

[21]

Siu Y. K., Tan S. T. ’source-based’ heterogeneous solid modeling[J]. Computer-Aided Design, 2002, 34(1): 41-55.

[22]

Yang P. H., Qian X. P. A B-spline-based approach to heterogeneous objects design and analysis[J]. Computer-Aided Design, 2007, 39(2): 95-111.

[23]

Qian X. P., Dutta D. Feature-based design for heterogeneous objects[J]. Computer-Aided Design, 2004, 36(12): 1263-1278.

[24]

Piegl L. A., Tiller W. The NURBS Book[M]. 1996, Germany: Springer.

[25]

Shi F. Z. CAGD & NURBS[M]. 2001, Beijing, China: Higher Education Press.

AI Summary AI Mindmap
PDF

136

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/