Combining FEM and neural networking in the design of optimization of traditional Montenegrin chair
| Autor: | Jelena Jovanovic, Rade Grujicic, Ana Pavlovic, Aleksandar Vujovic, Zdravko Krivokapic |
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| Přispěvatelé: | Vujovic A., Krivokapic Z., Grujicic R., Jovanovic J., Pavlovic A. |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
fem
Engineering Engineering drawing Artificial neural network business.industry Mechanical Engineering 05 social sciences european standards European standard 02 engineering and technology neural networks Finite element method Neural network Mechanics of Materials lcsh:TA1-2040 traditional montenegrin chair 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business lcsh:Engineering (General). Civil engineering (General) lcsh:Mechanics of engineering. Applied mechanics lcsh:TA349-359 optimization 050203 business & management |
| Zdroj: | FME Transactions, Vol 44, Iss 4, Pp 374-379 (2016) |
| ISSN: | 1451-2092 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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