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Development of a Graded Lattice Structure Design and Optimization Method with Complex Boundary Surface Constraints
Zhujiang Wang1,*, Yizhou Wang1, Bin Zhai1
1 Department of Mechanical Engineering (Robotics), Guangdong Technion - Israel Institute of Technology, 241 Daxue
Road, Shantou, 515063, China
* Corresponding Author: Zhujiang Wang. Email:
The International Conference on Computational & Experimental Engineering and Sciences 2023, 26(3), 1-2. https://doi.org/10.32604/icces.2023.09242
Abstract
Graded lattice structures (GLS) are used widely in the areas of 3D printed sensors, personalized wearable
devices, robotics, energy absorption, etc., and have a prospective future in the field of personalized medical
devices. The large-scale applications of GLS-based personalized medical devices require a GLS design
method that could handle the challenges caused by diverse boundary surface constraints and various
requirements of graded mechanical properties [1,2], due to patient-specific care needs. In this work, the
proposed automatic seed generation algorithm-based GLS design approach is a prospective solution to
promote the wide application of GLS-based personalized medical devices [3,4]. The core idea of the
proposed GLS design and optimization approach is (a) using an automatic point cloud generation algorithm
to generate nonuniform seed distributions inside a domain with any shape; (b) raw GLS is then generated
based on the seed distribution; (c) the radius of the raw GLS is further optimized based on finite element
truss analysis. As seed distributions are generated according to the required boundary shapes of the target
GLS and the graded mechanical properties are optimized based on finite element analysis, the resulting GLS
is guaranteed to satisfy the requirements of boundary constraints and graded mechanical properties.
Finally, several demos including a 3D-printed shoe sole, a bone scaffold, and an energy absorber are created,
and the results indicate that the proposed GLS design and optimization method works very well.
Keywords
Cite This Article
APA Style
Wang, Z., Wang, Y., Zhai, B. (2023). Development of a graded lattice structure design and optimization method with complex boundary surface constraints. The International Conference on Computational & Experimental Engineering and Sciences, 26(3), 1-2. https://doi.org/10.32604/icces.2023.09242
Vancouver Style
Wang Z, Wang Y, Zhai B. Development of a graded lattice structure design and optimization method with complex boundary surface constraints. Int Conf Comput Exp Eng Sciences . 2023;26(3):1-2 https://doi.org/10.32604/icces.2023.09242
IEEE Style
Z. Wang, Y. Wang, and B. Zhai "Development of a Graded Lattice Structure Design and Optimization Method with Complex Boundary Surface Constraints," Int. Conf. Comput. Exp. Eng. Sciences , vol. 26, no. 3, pp. 1-2. 2023. https://doi.org/10.32604/icces.2023.09242