Abstract
In this paper, the V-shape development model approach for designing an automotive floor panel made by laminated structure is investigated to attain the best trade-off between the system and subsystem level requirements while improving the local and global performance of the vehicle. For this purpose, the bending and torsional stiffness of the body structure, as well as mass, strength, and vibration attenuation of the floor panel, are considered as design objectives at the system and subsystem levels. A multi-objective discrete optimization of a laminated configuration is performed using the Taguchi-based grey relational analysis. Material grades and thicknesses of the sandwich panel face sheets and thickness of the viscoelastic core with five levels are taken as discrete design variables. Moreover, the contribution ratios of each design factor on the performance characteristics are determined using the analysis of variance. By observing the results of the proposed approach, it is revealed that with an appropriate combination of layers, an optimum sandwich structure can be designed to fulfill all objectives simultaneously. Compared to the initial model, static strength and vibration attenuation are improved by 47.18% and 17.14%, respectively, while the global level characteristics, i.e., overall body structure stiffness, are properly preserved. Furthermore, the floor panel mass is decreased by 59.69%, which reduces the total mass of the structure by 1.75%.
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This research was partially supported by the Barez Industrial Group.
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The method proposed in this paper can be implemented on a similar structural model by following the flowchart illustrated in Fig. 3. The design problems, mesh size, and boundary conditions are given in Sects. 4 and 5. If the information provided in the paper is not enough, we sincerely welcome scientists or interested parties to contact us for further explanation.
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Salmani, H., Khalkhali, A. & Ahmadi, A. Multi-objective optimization of vehicle floor panel with a laminated structure based on V-shape development model and Taguchi-based grey relational analysis. Struct Multidisc Optim 65, 95 (2022). https://doi.org/10.1007/s00158-021-03100-0
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DOI: https://doi.org/10.1007/s00158-021-03100-0