Extension of the Voronoi Diagram Algorithm to Orthotropic Space for Material Structural Design

被引:1
作者
Bolshakov, Pavel [1 ,2 ]
Kharin, Nikita [1 ]
Agathonov, Alexander [1 ]
Kalinin, Evgeniy [1 ]
Sachenkov, Oskar [1 ]
机构
[1] Kazan Fed Univ, Inst Math & Mech, Kazan 420008, Russia
[2] Kazan Natl Res Tech Univ, Dept Machines Sci & Engn Graph, Kazan 420111, Russia
关键词
structural design; porous constructions; structural material; orthotropic material; Voronoi diagram; POROUS STRUCTURES;
D O I
10.3390/biomimetics9030185
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays, the interaction of additive technologies and methods for designing or optimizing porous structures has yielded good results. Construction with complex microarchitectures can be created using this approach. Varying the microarchitecture leads to changes in weight and mechanical properties. However, there are problems with geometry reconstruction when dealing with complex microarchitecture. One approach is to use Voronoi cells for geometry reconstruction. In this article, an extension of the Voronoi diagram algorithm to orthotropic space for material structural design is presented. The inputs for the method include porosity, ellipticity, and ellipticity direction fields. As an example, a beam with fixed end faces and center kinematic loading was used. To estimate robust results for different numbers of clusters, 50, 75, and 100 clusters are presented. The porosity for smoothed structures ranged from 21.5% up to 22.8%. The stress-strain state was determined for the resulting structures. The stiffness for the initial and smoothed structures was the same. However, in the case of 75 and 100 clusters, local stress factors appeared in the smoothed structure. The maximum von Mises stress decreased by 20% for all smoothed structures in the area of kinematic loading and increased by 20% for all smoothed structures in the area of end faces.
引用
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页数:15
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  • [1] 3D printing of Aluminium alloys: Additive Manufacturing of Aluminium alloys using selective laser melting
    Aboulkhair, Nesma T.
    Simonelli, Marco
    Parry, Luke
    Ashcroft, Ian
    Tuck, Christopher
    Hague, Richard
    [J]. PROGRESS IN MATERIALS SCIENCE, 2019, 106
  • [2] Voronoi-Like Grid Systems for Tall Buildings
    Angelucci, Giulia
    Mollaioli, Fabrizio
    [J]. FRONTIERS IN BUILT ENVIRONMENT, 2018, 4
  • [3] High-strength porous biomaterials for bone replacement: A strategy to assess the interplay between cell morphology, mechanical properties, bone ingrowth and manufacturing constraints
    Arabnejad, Sajad
    Johnston, R. Burnett
    Pura, Jenny Ann
    Singh, Baljinder
    Tanzer, Michael
    Pasini, Damiano
    [J]. ACTA BIOMATERIALIA, 2016, 30 : 345 - 356
  • [4] Functionally graded saturated porous structures: A review
    Babaei, Masoud
    Kiarasi, Faraz
    Asemi, Kamran
    Hosseini, Mohammad
    [J]. JOURNAL OF COMPUTATIONAL APPLIED MECHANICS, 2022, 53 (02): : 297 - 308
  • [5] A design-focused, cost-ranked, structural-frame sizing optimization
    Barg, Steve
    Flager, Forest
    Fischer, Martin
    [J]. JOURNAL OF BUILDING ENGINEERING, 2020, 30
  • [6] Method of computational design for additive manufacturing of hip endoprosthesis based on basic-cell concept
    Bolshakov, Pavel
    Kuchumov, Alex G.
    Kharin, Nikita
    Akifyev, Kirill
    Statsenko, Evgeny
    Silberschmidt, Vadim V.
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2024, 40 (03)
  • [7] Structural Design Method for Constructions: Simulation, Manufacturing and Experiment
    Bolshakov, Pavel
    Kharin, Nikita
    Kashapov, Ramil
    Sachenkov, Oskar
    [J]. MATERIALS, 2021, 14 (20)
  • [8] Design and Optimization Lattice Endoprosthesis for Long Bones: Manufacturing and Clinical Experiment
    Bolshakov, Pavel
    Raginov, Ivan
    Egorov, Vladislav
    Kashapova, Regina
    Kashapov, Ramil
    Baltina, Tatyana
    Sachenkov, Oskar
    [J]. MATERIALS, 2020, 13 (05)
  • [9] Structural additive manufacturing parts bio-inspired from trabecular bone form-function relationship
    Cadoret, Nicolas
    Chaves-Jacob, Julien
    Linares, Jean-Marc
    [J]. MATERIALS & DESIGN, 2023, 231
  • [10] An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation
    Deng, Wu
    Ni, Hongcheng
    Liu, Yi
    Chen, Huiling
    Zhao, Huimin
    [J]. APPLIED SOFT COMPUTING, 2022, 127