MATEC Web Conf.
Volume 112, 201721st Innovative Manufacturing Engineering & Energy International Conference – IManE&E 2017
|Number of page(s)||7|
|Section||CAD/CAM/CAE/CAX Technologies, Manufacturing Optimization|
|Published online||03 July 2017|
FEA analysis and design optimization for a multifunctional piece of furniture
1 ”Politehnica” University of Bucharest, Department of Engineering Graphics and Industrial Design, Spl. Independen.ei No.313 Street, District 6, 060042, Bucharest, Romania
2 ”Dunărea de Jos” University of Galati, Engineering and Agronomy Faculty of Braila, Research Centre for Mechanics of the Machines and Technological Equipments, Calea Calărașilor Street, 810017, Brăila, Romania
* Corresponding author: firstname.lastname@example.org
The paper presents an original approach to the integration of computer aided design and finite element analysis for a multifunctional piece of furniture using CATIA Generative Structural Analysis workbench. Finite Element Analysis (FEA) application is an important engineering technique in the furniture industry. FEA is an accurate method for numerical solution of field problems. A major problem of mesh generation today is access to CAD geometry in a efficient and precise manner. Starting with a solid modelling for the creation of the desired piece of multifunctional furniture is used in this case, the automatic generation of the finite element meshes. Getting more accurate results for the mesh refinement process can be made by changing parameters. The article outlines the developed model for analysing the supporting structure of the armchair. This model provides simulating of the different loads and checking the raised stresses and deformation in the structures analysed. The main objective of this research is to evaluate strength of wooden cedar armchair for a person weighing 140 kg and for this the finite element analysis (FEA) has been used. Multifunctional furniture is the answer to the challenges contemporary lifestyle, creativity in design activities that require optimal space utilization and reducing costs.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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