Stejskal Tomáš, Dovica Miroslav, Svetlík Jozef, Demeč Peter, Hrivniak Lukáš, Šašala Michal
Department of Manufacturing Machinery, Faculty of Mechanical Engineering, The Technical University of Kosice, Letná 9, 04200 Košice, Slovakia.
Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, The Technical University of Kosice, Letná 9, 04200 Košice, Slovakia.
Materials (Basel). 2020 Sep 1;13(17):3867. doi: 10.3390/ma13173867.
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's efficiency is shown on an ideal Michell truss.
拓扑优化是工业工程中一个动态发展的领域。优化任务之一是创建新的零件形状，同时保持尽可能高的刚度和可靠性，并使重量最小化。由于计算机技术和3D打印机，这条发展道路正变得越来越热门。在拓扑优化中经常使用两个优化条件。第一个是实现尽可能高的结构刚度。第二个是减轻结构的总重量。这些条件对所得结构中的单元数量没有直接影响。本文提出了一种几何方法，该方法从桁架单元数量的角度修改拓扑结构，但不基于优化条件。该方法基于自然模式，并进一步简化了迄今为止使用的优化策略。该方法的效率在理想的米契尔桁架上得到了展示。
