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1 Prace Naukowe Katedry Budowy Maszyn / Politechnika Śląska

1 1999

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Przykład zastosowania systemu UAI/NASTRAN do modelowania materiałów kompozytowych

Klarecki K., Sokołowski A.

Prace Naukowe Katedry Budowy Maszyn / Politechnika Śląska

1999

nr 2

73-82

W artykule przedstawiono możliwości modelowania struktur kompozytowych przy pomocy systemu MES. W ramach badań skupiono się na modelowaniu płaskich struktur materiałów kompozytowych o różnokierunkowym ułożeniu włókien.

The research presented in this paper deals with modeling of composite materials. Such materials have, among others, a wide range of applications in machine tool industry. However, in order to use composites, relatively complicated calculations must be conducted. In many cases, the difficulties in calculations, especially related to dynamic feature estimation, relays in lack of proper formulas and algorithms that could guaranty results reflecting the reality as close as possible. It is necessary to emphasis that this conclusion is connected to analytical approach mainly. The other approach takes into consideration an application of Finite Element Method (FEM) Generally, FEM allows overcoming some of problems mentioned above. However, a potential user can face other problems that seem to be typically related to this method. The main goal of the presented research is to test a possibility of composite modeling with FEM based on UAI/NASTRAN software. It is assumed that a plate built with multi-layer laminate is considered here. Next, it is assumed that the plate model consists of several layers reflecting a multi-layer composite. Each layer is described with mechanical properties which depend on fibre orientation and properties and matrix properties, as well. Is should be clearly stated that the description of the plate in terms of layers is caused by a need for model development only. In reality, a composite plate is not analysed in such a way since the layers can not be distinguished in an explicit form. Therefore, the built model should be verified in terms of number of layers applied. In other words, the goal of the research was to decide on an optimal number of layers used for development of a model that reflects the reality with certain accuracy. The assessment was done based on comparison of modes and eigen - frequencies. This means that we were increasing number of layers and calculating eigen - frequencies up to the number that did not cause substantial changes in the criteria values. The conducted tests revealed that increasing number of layers eight caused changes in criteria values less than 0.1%. Thus this number has been considered as the optimal number of layers for the analysed task.