scholarly journals THE FINITE ELEMENT EVALUATION OF SUPPORT BRACKET USING THE APPLICATION OF TOPOLOGICAL OPTIMIZATION

Author(s):  
Letsatsi M.T. ◽  
◽  
Agarwal . A ◽  
Pitso I ◽  
◽  
...  

The demand for customized products has increased to suite various needs which could be easily developed using 3D printing technology. Most of the products require optimization for weight minimization which could be done using topological optimization tool. Topology optimization offers conceptual design for lighter and stiffer structures and helps to reach to efficient and aesthetic designs in lesser time. Topological optimization has shown its effectiveness is in improving design of structures with the help of high configuration and fast computing processors. With the use of FEA, the topologically optimized design can be tested which enables to determine design feasibility for different loads and boundary conditions. The current research investigates the application of topological optimization tool in weight minimization of support bracket. The generic design of supporting bracket is developed in Creo design software and structural analysis is conducted using techniques of Finite Element Method. The topological optimization tool enabled to reduce nearly 32% mass without much increase in deformation and stresses. The increase in deformation was found to be 5.6% and is profound in the regions of cylindrical support structure.

2015 ◽  
Vol 07 (06) ◽  
pp. 1550085 ◽  
Author(s):  
Z. C. He ◽  
G. Y. Zhang ◽  
L. Deng ◽  
Eric Li ◽  
G. R. Liu

The node-based smoothed finite element method (NS-FEM) proposed recently has shown very good properties in solid mechanics, such as providing much better gradient solutions. In this paper, the topology optimization design of the continuum structures under static load is formulated on the basis of NS-FEM. As the node-based smoothing domain is the sub-unit of assembling stiffness matrix in the NS-FEM, the relative density of node-based smoothing domains serves as design variables. In this formulation, the compliance minimization is considered as an objective function, and the topology optimization model is developed using the solid isotropic material with penalization (SIMP) interpolation scheme. The topology optimization problem is then solved by the optimality criteria (OC) method. Finally, the feasibility and efficiency of the proposed method are illustrated with both 2D and 3D examples that are widely used in the topology optimization design.


AIAA Journal ◽  
1993 ◽  
Vol 31 (5) ◽  
pp. 923-929 ◽  
Author(s):  
R. Barboni ◽  
P. Gaudenzi ◽  
A. Mannini

2021 ◽  
Vol 1858 (1) ◽  
pp. 012081
Author(s):  
Sumar Hadi Suryo ◽  
Rachmat Suryadi Sastra ◽  
Muchammad ◽  
Harto

2020 ◽  
Vol 63 (1) ◽  
pp. 1-20
Author(s):  
S. J. van den Boom ◽  
J. Zhang ◽  
F. van Keulen ◽  
A. M. Aragón

AbstractDuring design optimization, a smooth description of the geometry is important, especially for problems that are sensitive to the way interfaces are resolved, e.g., wave propagation or fluid-structure interaction. A level set description of the boundary, when combined with an enriched finite element formulation, offers a smoother description of the design than traditional density-based methods. However, existing enriched methods have drawbacks, including ill-conditioning and difficulties in prescribing essential boundary conditions. In this work, we introduce a new enriched topology optimization methodology that overcomes the aforementioned drawbacks; boundaries are resolved accurately by means of the Interface-enriched Generalized Finite Element Method (IGFEM), coupled to a level set function constructed by radial basis functions. The enriched method used in this new approach to topology optimization has the same level of accuracy in the analysis as the standard finite element method with matching meshes, but without the need for remeshing. We derive the analytical sensitivities and we discuss the behavior of the optimization process in detail. We establish that IGFEM-based level set topology optimization generates correct topologies for well-known compliance minimization problems.


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