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Extension of the Voronoi Diagram Algorithm to Orthotropic Space for Material Structural Design
Pavel Bolshakov1,2, Nikita Kharin1, Alexander Agathonov1
1Institute of Mathematics and Mechanics, Kazan Federal University, 420008 Kazan, Russia.
This study introduces an extended Voronoi diagram algorithm for designing complex porous structures using additive manufacturing. The method optimizes material properties, reducing stress concentrations in specific areas.
Area of Science:
- Materials Science
- Mechanical Engineering
- Computational Design
Background:
- Additive manufacturing enables the creation of complex microarchitectures, influencing material weight and mechanical properties.
- Reconstructing complex microarchitectures presents geometric challenges.
- Voronoi cells offer a potential solution for geometry reconstruction in material design.
Purpose of the Study:
- To present an extension of the Voronoi diagram algorithm for material structural design in orthotropic space.
- To investigate the impact of varying microarchitecture parameters on structural properties.
- To analyze the stress-strain state of optimized porous structures.
Main Methods:
- Extension of the Voronoi diagram algorithm to orthotropic space.
- Utilizing inputs such as porosity, ellipticity, and ellipticity direction fields.
- Application to a beam model with fixed ends and center kinematic loading.
- Analysis of structures with 50, 75, and 100 clusters.
Main Results:
- Achieved porosity in smoothed structures ranged from 21.5% to 22.8%.
- Stiffness remained consistent between initial and smoothed structures.
- Local stress factors emerged in smoothed structures with 75 and 100 clusters.
- Maximum von Mises stress decreased by 20% under kinematic loading and increased by 20% at end faces.
Conclusions:
- The extended Voronoi algorithm facilitates the design of complex porous structures with tunable properties.
- While stiffness is maintained, localized stress concentrations require careful consideration in design.
- The method shows potential for optimizing structural performance in additive manufacturing applications.
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