Heterogeneous Composition Adaptation With Material Convolution Control Features

Author(s):  
Vikas Gupta ◽  
Puneet Tandon

Controlling and accomplishing the desired functional material composition in a heterogeneous object (HO) is a close loop process and requires frequent remodeling-and-analysis. Thus, flexibility and capability to efficiently modify the existing CAD model of a heterogeneous object are essential aspects of heterogeneous object modeling. The current work unfolds such capabilities of the developed material convolution surface approach. The geometric and material control features associated with the approach demonstrate the potential to modify existing material-distributions to remodel complex material variations and assure rapid heterogeneous composition adaptations. Convolution material primitives (CMPs), material potential functions, and heterogeneous and grading enclosure are manipulated to achieve desired material compositions across the heterogeneous region. The manipulation process for each control feature has been established. A few examples of modeling and modifying complex material-distributions have been reported for the validation of work.

2007 ◽  
Vol 39 (4) ◽  
pp. 284-301 ◽  
Author(s):  
X.Y. Kou ◽  
S.T. Tan

2005 ◽  
Vol 6 (3) ◽  
pp. 221-229 ◽  
Author(s):  
Pierre-Alain Fayolle ◽  
Alexander Pasko ◽  
Benjamin Schmitt ◽  
Nikolay Mirenkov

We introduce a smooth approximation of the min∕max operations, called signed approximate real distance function (SARDF), for maintaining an approximate signed distance function in constructive shape modeling. We apply constructive distance-based shape modeling to design objects with heterogeneous material distribution in the constructive hypervolume model framework. The introduced distance approximation helps intuitively model material distributions parametrized by distances to so-called material features. The smoothness of the material functions, provided here by the smoothness of the defining function for the shape, helps to avoid undesirable singularities in the material distribution, like stress or concentrations. We illustrate application of the SARDF operations by two- and three-dimensional heterogeneous object modeling case studies.


2019 ◽  
Vol 110 ◽  
pp. 50-68 ◽  
Author(s):  
Jikai Liu ◽  
Qian Chen ◽  
Yufan Zheng ◽  
Rafiq Ahmad ◽  
Jinyuan Tang ◽  
...  

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