Abstract
In this study, a new progress of optimization of smart structure is carried out. The application of machine learning through neural networks brings a new view in design. The data using for optimization is collected from the simulation results, the real values of the closed structure with the proposed model. The combination of these data and the outstanding property of the neural networks helps improve the obtained variables, and then performance of the proposed structure is also improved. The proposed structure is built based on cantilever beam model. Smart material is covered outside of the beam based on magnetorheological elastomer (MRE in short). This model is used for evaluate the performance of the neural networks in optimization. Results of the progress show that this method can use in case of no specialize software, and satisfy the initial requirements.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Phu, D.X., Hung, N.Q., Park, J.H., Choi, S.-B.: Design of a new MR brake mount system considering vertical and horizontal vibrations, active and passive smart structures and integrated systems. In: Proceedings of SPIE, vol. 9057, p. 90570O (2014)
Yang, S.-Y., Phu, D.X., Choi, S.-B.: Design of magneto-rheological mount for a cabin of heavy equipment vehicles, active and passive smart structures and integrated systems. In: Proceedings of SPIE, vol. 9799, 97992S (2016)
Phu, D.X., Shah, K., Choi, S.-B.: A new magnetorheological mount featured by changeable dam** gaps using a moved-plate valve structure. Smart Mater. Struct. 23, 125022 (2014)
Chung, J.U., Phu, D.X., Choi, S.-B.: Optimization of a new magnetorheological fluid mount for vibration control of start/stop engine mode, active and passive smart structures and integrated systems. In: Proceedings of SPIE, vol. 9431, 94311O (2015)
Phu, D.X., Ung, C.J., Choi, S.B.: Design and analysis of an innovative combined Magneto-rheological Damper-Mount, active and passive smart structures and integrated systems. In: Proceedings of SPIE, vol. 9431, p. 943130 (2015)
Do, X.P., Choi, S.B.: High loaded mounts for vibration control using magnetorheological fluids: review of design configuration, shock and vibration, Article ID 915859 (2015)
Phu, D.X., Choi, S.B., Lee, Y.S., Han, M.S.: Design of a new engine mount for vertical and horizontal vibration control using magnetorheological fluid. Smart Mater. Struct. 23, 117001 (2014)
Do, X.P., Duc, H.T., Huy, T.L.T., Choi, S.-B., Yoon, D.: Design of a new inside multi-coils clutch for knee-exoskeleton structure based on helmholtz phenomenon and magneto-rheological fluid, sensors and smart structures technologies for civil, mechanical, and aerospace systems. In: Proceedings of SPIE, vol. 10598, p. 105983M (2018)
Do, X.P., Quoc, L.M.B., Choi, S.-B., Nguyen, Q.H., Cha, A.-R.: Design of a new exoskeleton based on the combination of two magnetorheological damper, sensors and smart structures technologies for civil, mechanical, and aerospace systems. In: Proceedings of SPIE, vol. 10598, p. 05983N (2018)
Do, X.P., Quoc, L.M.B., Kang, B.-H., Choi, S.-B.: Design of a new magneto-rheological damper featuring a hybrid type of piston for lower limb exoskeleton. In: Proceedings Volume 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702O (2019)
Phu, D.X., Choi, S.-B.: Magnetorheological fluid based devices reported in 2013–2018: mini-review and comment on structural configurations. Front. Mater. 6(19) (2019)
Phu, D.X., Long, M.B.Q., Kang, B.-H., Choi, S.-B.: Design of a new magneto-rheological pressure seal for rotary shaft. In: Proceedings Volume 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702M (2019)
Do, X.P., Le, T.H.T., Kang, B.H., Choi, S.-B.: A new magneto-rheological skin for controlling pressure of haptic devices. In: Proceedings Volume 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702N (2019)
Phu, D.X., Hung, N.Q., Choi, S.-B.: A novel adaptive controller featuring inversely fuzzified values with application to vibration control of magneto-rheological seat suspension system. J. Vibr. Control 24(21), 5000–5018 (2018)
Do, X.P., Nguyen, Q.H., Choi, S.-B.: New hybrid optimal controller applied to a vibration control system subjected to severe disturbances. Mech. Syst. Signal Process. 124, 408–423 (2019)
Han, Y., Hong, W., Faidley, L.E.: Field-stiffening effect of magneto-rheological elastomers. Int. J. Solids Struct. 50, 2281–2288 (2013)
Shi, J., Song, J., Song, B., Lu, W.F.: Multi-objective optimization design through machine learning for drop-on-demand. Bioprint. Eng. 5, 586–593 (2019)
Isaev, D., Semisalova, A., Alekhina, Y., Makarova, L., Perov, N.: Simulation of magnetodielectric effect in magnetorheological elastomers. Int. J. Mol. Sci. 20, 1457 (2019)
Richiedei, D., Trevisani, A.: Optimization of the energy consumption through spring balancing of servo-actuated mechanisms. J. Mech. Des. 142, 012301-1-10 (2020)
Belendez, T., Neipp, C., Belendez, A.: Large and small deflections of a cantilever beam. Eur. J. Phys. 23, 371–379 (2002)
Acknowledgement
This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 107.02-2020.13.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Do, X.P. (2021). Machine Learning in Design of Optimization of MR Actuators: A New View of Solution. In: Long, B.T., Kim, YH., Ishizaki, K., Toan, N.D., Parinov, I.A., Vu, N.P. (eds) Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). MMMS 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-69610-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-69610-8_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69609-2
Online ISBN: 978-3-030-69610-8
eBook Packages: EngineeringEngineering (R0)