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Research Papers

A Multiscale Materials Modeling Method With Seamless Zooming Capability Based on Surfacelets1

[+] Author and Article Information
Wei Huang

HP Labs,
Palo Alto, CA 94304
e-mail: huang@hp.com

Yan Wang

School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: yan.wang@me.gatech.edu

David W. Rosen

School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: david.rosen@me.gatech.edu

2Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received November 13, 2015; final manuscript received October 7, 2016; published online February 16, 2017. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 17(2), 021007 (Feb 16, 2017) (9 pages) Paper No: JCISE-15-1369; doi: 10.1115/1.4034999 History: Received November 13, 2015; Revised October 07, 2016

In multiscale materials modeling, it is desirable that different levels of details can be specified in different regions of interest without the separation of scales so that the geometric and physical properties of materials can be designed and characterized. Existing materials modeling approaches focus more on the representation of the distributions of material compositions captured from images. In this paper, a multiscale materials modeling method is proposed to support interactive specification and visualization of material microstructures at multiple levels of details, where designer's intent at multiple scales is captured. This method provides a feature-based modeling approach based on a recently developed surfacelet basis. It has the capability to support seamless zoom-in and zoom-out. The modeling, operation, and elucidation of materials are realized in both the surfacelet space and the image space.

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References

Figures

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Fig. 1

The general procedure of materials specification

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Fig. 2

Geometric interpretation of surfacelets: (a) 3D ridgelet, (b) cylindrical surfacelet, and (c) ellipsoidal surfacelet

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Fig. 3

An example 3D image of fiber-based composite

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Fig. 4

Result of cubic spline interpolation for parameter α

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Fig. 5

Result of piecewise cubic Hermite interpolating polynomial for parameter α

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Fig. 6

Result of cubic spline interpolation for parameter μ

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Fig. 7

Result of 2D cubic spline interpolation for parameters μ and α

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Fig. 8

Determination of the levels of collocation points: (a) 1D collocation and (b) 2D collocation

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Fig. 9

The 1D (a) and 2D (b) zoom-in examples

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Fig. 10

The general procedure of the computer-aided material microstructure modeling and specification process

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Fig. 11

The specification result of locations and orientations of the three fibers in the surfacelet domain at step 2

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Fig. 12

The result of inverse surfacelet transform at step 3 (the size of the 3D image is 20 × 20 × 9)

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Fig. 13

The first resulting image of inverse surfacelet transform at step 3 with enhanced resolution (the size is 50 × 50 × 9)

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Fig. 14

Zoom-in for detailed design of fiber–matrix interphase. (a) The resulting image of step 3. (b) The resulting image after visual zoom-in operation. (c) The resulting image of step 4. (d) The reconstructed image of the resulting surfacelets in step 5.

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Fig. 15

The result of step 5

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Fig. 16

The result of step 7

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Fig. 17

The image reconstruction result in step 8

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Fig. 18

The resulting image of the zoom-out operation (the first slice only)

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