Establishing the Optimal Density of the Michell Truss Members
Autor: | Peter Demeč, Jozef Svetlík, Tomáš Stejskal, Lukas Hrivniak, Michal Sasala, Miroslav Dovica |
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Rok vydání: | 2020 |
Předmět: |
Mathematical optimization
Computer science Reliability (computer networking) 0211 other engineering and technologies Structure (category theory) Truss 02 engineering and technology golden section lcsh:Technology Article Development (topology) 0203 mechanical engineering medicine General Materials Science lcsh:Microscopy topology optimization lcsh:QC120-168.85 021106 design practice & management lcsh:QH201-278.5 lcsh:T Topology optimization Stiffness Michell truss 020303 mechanical engineering & transports lcsh:TA1-2040 Path (graph theory) lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering medicine.symptom lcsh:Engineering (General). Civil engineering (General) lcsh:TK1-9971 Computer technology |
Zdroj: | Materials, Vol 13, Iss 3867, p 3867 (2020) Materials Volume 13 Issue 17 |
ISSN: | 1996-1944 |
Popis: | Topology optimization is a dynamically developing area of industrial engineering. One of the optimization tasks is to create new part shapes, while maintaining the highest possible stiffness and reliability and minimizing weight. Thanks to computer technology and 3D printers, this path of development is becoming more and more topical. Two optimization conditions are often used in topology optimization. The first is to achieve the highest possible structure stiffness. The second is to reduce the total weight of the structure. These conditions do not have a direct effect on the number of elements in the resulting structure. This paper proposes a geometric method that modifies topological structures in terms of the number of truss elements but is not based on the optimization conditions. The method is based on natural patterns and further streamlines the optimization strategies used so far. The method&rsquo s efficiency is shown on an ideal Michell truss. |
Databáze: | OpenAIRE |
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