Dong Xing

Dr. Dong Xing

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 February 2025 in Applied Sciences
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Journal Article
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DXDong Xing
Dong Xing
LYLeijiang Yao
Leijiang Yao
HLHongJun Liu
HongJun Liu
YDYou Ding
You Ding
The method proposed in this paper provides a new research idea for biomimetic three-dimensional grid structure material design. The wings of a dragonfly exhibit a complex grid structure, comprising approximately 1–2% of its total weight, yet demonstrating exceptional mechanical efficiency. In order to investigate the feasibility of applying the design optimization method simulating this structure to the material structure design, we adopted a multi-step method to realize the formation of multi-scale grid structures and folds. Initially, the main vein of the front wing was simulated using a branching structure generation technique. Subsequently, a Voronoi grid was overlaid to generate the complete bionic grid structure. Finally, the fold structure of the wing was simulated using origami principles to create a three-dimensional grid structure. This method can obtain the rigid–flexible coupling 3D grid structure by simulating the 3D fold structure design of the dragonfly wing. The results show that the proposed method can obtain structural materials with excellent structural properties by simulating the structural characteristics of dragonfly wings.

1 September 2023 in AIP Advances
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Journal Article
Open access
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DXDong Xing
Dong Xing
LYLeijiang Yao
Leijiang Yao
HLHongJun Liu
HongJun Liu
YDYou Ding
You Ding
In this paper, a biomimetic topology optimization design method that simulates the growth pattern of leaf veins is proposed for the design of the support structure of ultra-light airfoil-like solar cells in the solar powered unmanned aerial vehicle. This method simulates the optimal growth process of main vein morphology through the topology change of dynamic point groups to obtain an optimized topological main support structure and then generates a Voronoi grid structure in the area surrounded by the main support structure to increase the local support for the battery. The whole process is combined with genetic algorithm to simulate the optimal distribution strategy of leaf vein growth by inputting a small number of parameters. Compared with the traditional grid support structure, the support structure obtained by simulating the leaf vein growth optimization strategy can provide more efficient support for the solar panel and avoid damage to the solar cell.

1 December 2023 in AIP Advances
Verified
Journal Article
Open access
PDF file
DXDong Xing
Dong Xing
LYLeijiang Yao
Leijiang Yao
HLHongJun Liu
HongJun Liu
YDYou Ding
You Ding
BSBing Shen
Bing Shen
This paper presents a method to generative design bionic bone structures wing ribs by simulating the formation process of soap bubble boundary. In this method, the position of the central control point is optimized by the genetic algorithm to simulate the moving process of the bubble, and the control point is simplified by the K-means classification method to improve the computational efficiency. The boundary formed by the extrusion of bubbles is filled with a bone-like grid structure to realize the optimal design of a bone-like rib structure. Compared with the traditional honeycomb sandwich structure, the bone-like rib structure can distribute the stress evenly throughout the structure, thus reducing the stress concentration and improving the bearing capacity of the structure. The method proposed in this paper provides a new idea for a multilevel structure design.

17 December 2024 in Preprints.org
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Preprint
Open access
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DXDong Xing
Dong Xing
LYLeijiang Yao
Leijiang Yao
HLHongJun Liu
HongJun Liu
YDYou Ding
You Ding
The wings of a dragonfly exhibit a complex grid structure, comprising approximately 1-2% of its total weight, yet demonstrating exceptional mechanical efficiency. To replicate this structure, our study employed a multi-step approach. Initially, the main vein of the front wing was simulated using a branching structure generation technique. Subsequently, a Voronoi grid was overlaid to generate the complete bionic grid structure. Finally, the fold structure of the wing was simulated using origami principles to create a three-dimensional grid structure. This paper presents a novel method for simulating the three-dimensional fold structure of dragonfly wings and designing a rigid-flexible coupling grid structure. By accurately replicating the formation of dragonfly wings, our approach offers a promising avenue for the design of three-dimensional grid structures.