Physics-Based Modeling for Heterogeneous Objects

Heterogeneous objects are composed of different constituent materials. In these objects, material properties from different constituent materials are synthesized into one part. Therefore, heterogeneous objects can offer new material properties and functionalities. The task of modeling material heterogeneity (composition variation) is a critical issue in the design and fabrication of such heterogeneous objects. Existing methods cannot efficiently model the material heterogeneity due to the lack of an effective mechanism to control the large number of degrees of freedom for the specification of heterogeneous objects. In this research, we provide a new approach for designing heterogeneous objects. The idea is that designers indirectly control the material distribution through the boundary'conditions of a virtual diffusion problem in the solid, rather than directly in the native CAD (B-spline) representation for the distribution. We show how the diffusion problem can be solved using the B-spline shape function, with the results mapping directly to a volumetric B-Spline representation of the material distribution, We also extend this method to material property manipulation and time dependent heterogeneous object modeling. Implementation and examples, such as a turbine blade design and prosthesis design, are also presented. They demonstrate that the physics based B-spline modeling method is a convenient, intuitive, and efficient way to model object heterogeneity.

[1]  Debasish Dutta,et al.  Design of heterogeneous turbine blade , 2003, Comput. Aided Des..

[2]  Debasish Dutta,et al.  Constructive Representation of Heterogeneous Objects , 2001, J. Comput. Inf. Sci. Eng..

[3]  Richard H. Crawford,et al.  Volumetric multi-texturing for functionally gradient material representation , 2001, SMA '01.

[4]  Igor G. Tsukanov,et al.  Transfinite interpolation over implicitly defined sets , 2001, Comput. Aided Geom. Des..

[5]  M. Cima,et al.  Modeling and designing functionally graded material components for fabrication with local composition control , 1999 .

[6]  V. Kumar,et al.  An Approach to Modeling & Representation of Heterogeneous Objects , 1998 .

[7]  S. H. Lo,et al.  Finite element implementation , 1996 .

[8]  Les A. Piegl,et al.  The NURBS Book , 1995, Monographs in Visual Communication.

[9]  K. S. Ramesh,et al.  Modelling studies applied to functionally graded materials , 1995 .

[10]  Hong Qin,et al.  Dynamic NURBS with geometric constraints for interactive sculpting , 1994, TOGS.

[11]  Dimitris N. Metaxas,et al.  Dynamic deformation of solid primitives with constraints , 1992, SIGGRAPH.

[12]  Andrew P. Witkin,et al.  Variational surface modeling , 1992, SIGGRAPH.

[13]  George Celniker,et al.  Deformable curve and surface finite-elements for free-form shape design , 1991, SIGGRAPH.

[14]  CelnikerGeorge,et al.  Deformable curve and surface finite-elements for free-form shape design , 1991 .

[15]  M. Bendsøe,et al.  Generating optimal topologies in structural design using a homogenization method , 1988 .

[16]  Dr. Morton H. Friedman Principles and Models of Biological Transport , 1986, Springer Berlin Heidelberg.

[17]  Mark M. Meerschaert,et al.  Mathematical Modeling , 2014, Encyclopedia of Social Network Analysis and Mining.

[18]  Xiaoping Qian,et al.  Feature methodologies for heterogeneous object realization. , 2001 .

[19]  Nicholas M. Patrikalakis,et al.  ALGORITHMS FOR DESIGN AND INTERROGATION OF FUNCTIONALLY GRADIENT MATERIAL OBJECTS , 2000 .

[20]  Joseph J. Beaman,et al.  Functionally Gradient Material Representation by Volumetric Multi-Texturing for Solid Freeform Fabrication 350 , 2000 .

[21]  Fritz B. Prinz,et al.  Shape deposition manufacturing of heterogeneous structures , 1997 .

[22]  M. B. Bickell,et al.  Selection of Materials , 1967 .

[23]  Vladimir Tatlin,et al.  Selection of Materials , 1916 .