Tool Path Planning for Directional Freezing-Based Three-Dimensional Printing of Nanomaterials

[+] Author and Article Information
Guanglei Zhao

Department of Industrial and Systems Engineering,
University at Buffalo, the State University of New York,
Buffalo, NY 14260

Chi Zhou

Department of Industrial and Systems Engineering,
University at Buffalo, the State University of New York,
Buffalo, NY 14260
e-mail: chizhou@buffalo.edu

Dong Lin

Department of Industrial and Manufacturing
Systems Engineering,
Kansas State University,
Manhattan, KS 66506

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MICRO- AND NANO-MANUFACTURING. Manuscript received June 12, 2017; final manuscript received September 15, 2017; published online December 14, 2017. Assoc. Editor: Yayue Pan.

J. Micro Nano-Manuf 6(1), 010905 (Dec 14, 2017) (5 pages) Paper No: JMNM-17-1027; doi: 10.1115/1.4038452 History: Received June 12, 2017; Revised September 15, 2017

As an emerging and effective nanomanufacturing technology, the directional freezing-based three-dimensional (3D) printing can form 3D nanostructures with complex shapes and superior functionalities, and thus has received ever-increasing publicity in the past years. One of the key challenges in this process is the proper heat management, since the heat-induced melting and solidification process significantly affects the functional integrity and structural integrity of the printed structure. A novel approach for heat prediction out of modeling and optimization is introduced in this study. Based on the prediction, we propose a heuristic tool path planning method. The simulation results demonstrate that the tool path planning highly affects the spatial and temporal temperature distribution of the being printed part, and the optimized tool path planning can effectively improve the uniformity of the temperature distribution, which will consequently enhance the performance of the fabricated nanostructures.

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Fig. 1

(a) and (b) 3D printing graphene aerogel [8], 3D printed (c) truss structure and (d) 2.5 D structure on caltkin, and (e) graphene aerogel with various wall thickness

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Fig. 2

The influence of path planning on the thermal history for a 2D model (30 × 80): (a) Line-by-line path planning, (b) back-and-forth path planning, (c) thermal history corresponding to the line-by-line path planning, and (d) thermal history corresponding to the back-and-forth path planning

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Fig. 3

Steps of a geometry decomposition

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Fig. 4

2D air plane geometry

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Fig. 5

Final path generation for airplane

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Fig. 6

(a) Integral zigzag infill pattern and (b) subregion zigzag infill pattern

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Fig. 7

Airplane geometry, temperature distribution of four layers with integral zigzag infill pattern at the time of layer completion

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Fig. 8

Airplane geometry, temperature distribution of four layers with proposed infill strategy at the time of layer completion

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Fig. 9

Average top layer temperature distribution of the first four layers right before a new layer is deposited. Left: integral zigzag infill pattern; right: sub-region zigzag infill pattern from proposed approach.




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