No CrossRef data available.
Article contents
VIBRATION REDUCTION BY TUNED MASS DAMPERS INSIDE CAVITIES OF TOPOLOGY OPTIMIZED LATTICE STRUCTURES
Published online by Cambridge University Press: 19 June 2023
Abstract
Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Tuned mass dampers may be used to improve vibrational behavior of structures. However, they require space to move. This paper presents an approach to incorporate tuned mass dampers into a lightweight-optimized structure without extra space requirement. It is based on (1) topology optimization (TopOpt) with unit cells and (2) vibration reduction with multiple tuned mass dampers (m-TMD) within the unit cells. The topology optimization is performed with a physics-informed penalty factor, unique to the chosen unit cell. Subsequently, the weight optimal density distribution is realized by populating the design domain with unit cells of ten different densities. To reduce the induced vibration, m-TMDs are placed inside the cavities of the unit cells in the grey scale regions. The effectiveness of the approach is demonstrated for the design of a 2-segment robot arm. The resulting unit cell robotic arm (UC-Arm) is 3.6% lighter than the reference model, maintains the same static performance, and shows a 60% smaller dynamic displacement in the observed frequency range. No extra space is required for the motion of the m-TMD.
- Type
- Article
- Information
- Creative Commons
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.- Copyright
- The Author(s), 2023. Published by Cambridge University Press
References
Bendsøe, M. P. and Sigmund, O. (2004), Topology Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg.Google Scholar
Claeys, C., de Melo Filho, Rocha, van Belle, N. G., Deckers, L., and Desmet, E., W. (2017), “Design and validation of metamaterials for multiple structural stop bands in waveguides”, Extreme Mechanics Letters, 12. Jg., S. 7–22.CrossRefGoogle Scholar
Han, Y. and Lu, W. F. (2018), “A Novel Design Method for Nonuniform Lattice Structures Based on Topology Optimization”, Journal of Mechanical Design, 140. Jg., Nr. 9.CrossRefGoogle Scholar
Hashin, Z. and Shtrikman, S. (1963), “A variational approach to the theory of the elastic behaviour of multiphase materials”, Journal of the Mechanics and Physics of Solids, 11. Jg., Nr. 2, S. 127–140.CrossRefGoogle Scholar
Krischer, L. and Zimmermann, M. (2021), “Decomposition and optimization of linear structures using meta models”, Structural and Multidisciplinary Optimization, 64. Jg., Nr. 4, S. 2393–2407.CrossRefGoogle Scholar
Neighborgall, C. R., Kothari, K., Sriram Malladi, V. V. N., Tarazaga, P., Paruchuri, S. T. and Kurdila, A. (2020), “Shaping the Frequency Response Function (FRF) of a Multi-Degree-of-Freedom (MDOF) Structure Using Arrays of Tuned Vibration Absorbers (TVA)”, in Mains, M. L. and Dilworth, B. J. (Hg.), Topics in Modal Analysis & Testing, Volume 8, Conference Proceedings of the Society for Experimental Mechanics Series, Springer International Publishing, Cham, S. 317–326.CrossRefGoogle Scholar
Sangiuliano, L., Claeys, C., Deckers, E., Pluymers, B. and Desmet, W. (2018), “Force Isolation by Locally Resonant Metamaterials to Reduce NVH”, in SAE Technical Paper Series, JUN. 20, 2018, SAE International400 Commonwealth Drive, Warrendale, PA, United States.CrossRefGoogle Scholar
Sangiuliano, L., Claeys, C., Deckers, E., Smet, J. de, Pluymers, B. and Desmet, W. (2019), “Reducing Vehicle Interior NVH by Means of Locally Resonant Metamaterial Patches on Rear Shock Towers”, in SAE Technical Paper Series, JUN. 10, 2019, SAE International400 Commonwealth Drive, Warrendale, PA, United States.CrossRefGoogle Scholar
Sigmund, O., Aage, N. and Andreassen, E. (2016), “On the (non-)optimality of Michell structures”, Structural and Multidisciplinary Optimization, 54. Jg., Nr. 2, S. 361–373.CrossRefGoogle Scholar
O, SL., D, PD. and Sriramula, S., “Development of an abaqus plugin tool for periodic rve homogenisation”, Engineering with Computers, 2019. Jg., Nr. 35, S. 567–577.Google Scholar
Wang, C., Gu, X., Zhu, J., Zhou, H., Li, S. and Zhang, W. (2020), “Concurrent design of hierarchical structures with three-dimensional parameterized lattice microstructures for additive manufacturing”, Structural and Multidisciplinary Optimization, 61. Jg., Nr. 3, S. 869–894.CrossRefGoogle Scholar
Zhang, J., Sato, Y. and Yanagimoto, J. (2021), “Homogenization-based topology optimization integrated with elastically isotropic lattices for additive manufacturing of ultralight and ultrastiff structures”, CIRP Annals, 70. Jg., Nr. 1, S. 111–114.CrossRefGoogle Scholar
Zheng, L., Kumar, S. and Kochmann, D. M. (2021), “Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy”, Computer Methods in Applied Mechanics and Engineering, 383. Jg., Nr. 9, S. 113894. http://doi.org/10.1016/j.cma.2021.113894CrossRefGoogle Scholar
You have
Access
Open access