Abstract
The paper presents the results of tests and analysis of strength of traditional Montenegrin chair using FEM (The Finite Element Method) according to the procedure described in the relevant European standards. Stresses in the critical points of the structure were obtained and compared with values of permissible stresses for appropriate material. The influence of design parameters of chair on distribution and intensity of the stresses was considered, so it was selected the appropriate combination of parameters that presents the optimal solution from the aspect of the mentioned criterion. The obtained solution is compared with a volume equivalent model of usual chair with four legs. Based on the results we trained neural network in order to make it enable selection of design parameters of the traditional Montenegrin chairs that provide a satisfactory solution.
Highlights
The traditional Montenegrin chair (“Stolovaca”) is a traditional piece of furniture in Montenegro
To build the Neural Network (Results presented in Back propagation Neural Network), the data must inputted into the software package MATLAB
This paper is based on the application of FEM and neural networks on a traditional Montenegrin chair (“stolovaca”)
Summary
The traditional Montenegrin chair (“Stolovaca”) is a traditional piece of furniture in Montenegro. As the fiddle represents a traditional Montenegrin instrument which Montenegrins have been proud of trzing to decorate it with a variety of motifs, so the owners devoted time to finesses of Montenegrin chair trying to carve and shape it, leaving in some way their own mark. They all introduced some novelty, either large or small, and over time its design changed and the experience crystallized the most appropriate one (Figure 2). The trestles have a slightly rounded shape and slantwise position to increase seat capacity and stability
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