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  4. Vol 6, Issue 2, 2022

Structural Strength Optimization Design of Composite Furniture Based on Particle Swarm Optimization Algorithm

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DOI: 10.23977/cpcs.2022.060202 | Downloads: 13 | Views: 728

Author(s)

Qiong Wang 1

Affiliation(s)

1 Wenzhou Polytechnic, Wenzhou, Zhejiang, 325000, China

Corresponding Author

Qiong Wang

ABSTRACT

In the process of using composite furniture, some parts are easy to loosen or damage, so it is necessary to optimize the structural strength of furniture to avoid affecting the quality of furniture products. Therefore, based on particle swarm optimization algorithm, this paper proposes a strength optimization design method of composite furniture structure. The same furniture material, different parts of the shape and joint mode, in the case of bearing the same load, the strength performance is also different. Carry out finite element analysis of the composite furniture entity, impose constraints on the model with reference to the real test scenario, and calculate the stress load of the key structure to obtain the maximum impact force borne by the entity. Within the range of allowable tensile, extrusion and shear stresses, aiming at maximizing the structural strength of composite furniture, particle swarm optimization algorithm is used to solve the structural strength, and the optimal design scheme is obtained. Experiments show that this method can improve the maximum static load and bending strength of composite furniture in the tensile direction, make the overall stress distribution of the structure uniform, reduce the loosening and damage of parts in use, and have better application performance.

KEYWORDS

Particle swarm optimization, Combination furniture, Structural strength, Mechanical load, Optimized design

CITE THIS PAPER

Qiong Wang, Structural Strength Optimization Design of Composite Furniture Based on Particle Swarm Optimization Algorithm. Computing, Performance and Communication Systems (2022) Vol. 6: 10-18. DOI: http://dx.doi.org/10.23977/cpcs.2022.060202.

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