Journal cover

Design Optimization of Adaptive MacPherson Strut using ANSYS Simulation: A Study

Robin Babu, Radheshyam H. Gajghat, Amit Sarda, P. S. Rao
International Journal of Analytical, Experimental and Finite Element Analysis
Volume 10: Issue 2, June 2023, pp 62-67

Author's Information

Robin Babu1 

Corresponding Author
1Department of Mechanical Engineering, Christian College of Engineering and Technology, Bhilai, India
r4ccet@gmail.com

Radheshyam H. Gajghat2, Amit Sarda3, P. S. Rao4

2,3,4Department of Mechanical Engineering, Christian College of Engineering and Technology, Bhilai, India
Article -- Peer Reviewed
Published online – 30 June 2023

Open Access article under Creative Commons License

Cite this article – Robin Babu, Radheshyam H. Gajghat, Amit Sarda, P. S. Rao, “Design Optimization of Adaptive MacPherson Strut using ANSYS Simulation: A Study”, International Journal of Analytical, Experimental and Finite Element Analysis, RAME Publishers, vol. 10, issue 2, pp. 62-67, June 2023.
https://doi.org/10.26706/ijaefea.2.10.icramen202315

Abstract:-
The MacPherson strut is a widely used suspension system in the automotive industry due to its simplicity and effectiveness. In recent years, the development of adaptive MacPherson struts has gained significant attention to improve handling, stability, and ride comfort. The optimization of the design parameters of adaptive MacPherson struts is crucial to achieve the desired performance characteristics. In this study, we present a comprehensive review of the design optimization of adaptive MacPherson struts using ANSYS simulation software. We discuss the various design parameters, simulation techniques, and optimization algorithms used in recent studies. The study aims to provide insights into the design and optimization of adaptive MacPherson struts using ANSYS simulation software.
Index Terms:-
MacPherson strut, ANSYS, Adaptive suspension, Optimization, Simulation
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  8. Guo, Y., Liu, Y., & Huang, Y. (2020). Optimization of MacPherson Strut Suspension System for Hybrid Electric Vehicle Using ANSYS Simulation. Journal of Physics: Conference Series, 1548(1), 012073.
  9. Zhu, J., Li, J., Wu, S., Liu, J., & Jiang, H. (2020). Design and optimization of an adaptive fuzzy control strategy for a McPherson suspension system. IEEE Access, 8, 209,057-209,068.
  10. Ali, M., Mahmood, N. H., Li, Y., & Almeshal, A. M. (2021). Multi-objective optimization of an adaptive MacPherson strut suspension system using NSGA-II algorithm. International Journal of Automotive Technology, 22(1), 19-30.
  11. Liu, Y., Wang, X., & Yang, L. (2018). Optimization design of MacPherson suspension system based on multi-objective genetic algorithm. Journal of Mechanical Science and Technology, 32(3), 1383-1393.
  12. Chen, H., & Liu, Z. (2022). Optimization Design for Suspension System Based on Response Surface Method and NCGA Algorithm. Highlights in Science, Engineering and Technology, 1, 336–345. https://doi.org/10.54097/hset.v1i.484.
  13. Fang, H., Liu, Y., & Xu, H. (2017). Multi-objective optimization of MacPherson suspension system using hybrid approach based on fuzzy logic and genetic algorithm. Advances in Mechanical Engineering, 9(11), 1687814017736255.
  14. Rao, B. S., Prasad, K. S., & Srinivas, J. (2017). Optimization of MacPherson strut suspension system using grey relational analysis and Taguchi method. Journal of Mechanical Engineering and Sciences, 11(3), 2779-2795.
  15. Sun, J., & Lin, H. (2018). Design optimization of MacPherson suspension system for electric vehicle. Journal of Vibroengineering, 20(1), 353-366.

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"/> Design Optimization of Adaptive MacPherson Strut using ANSYS Simulation: A Study
Journal cover

Design Optimization of Adaptive MacPherson Strut using ANSYS Simulation: A Study

Robin Babu
International Journal of Analytical, Experimental and Finite Element Analysis
Volume 10: Issue 1, March 2023, pp 21-28

Author's Information

Robin Babu1 

Corresponding Author
1Department of Mechanical Engineering, Christian College of Engineering and Technology, Bhilai, India
r4ccet@gmail.com
Article -- Peer Reviewed
Published online – 31 March 2023

Open Access article under Creative Commons License

Cite this article – Robin Babu, “Design Optimization of Adaptive MacPherson Strut using ANSYS Simulation: A Study”, International Journal of Analytical, Experimental and Finite Element Analysis, RAME Publishers, vol. 10, issue 1, pp. 21-28, March 2023.
https://doi.org/10.26706/ijaefea.2.10.icramen202315

Abstract:-
The MacPherson strut is a widely used suspension system in the automotive industry due to its simplicity and effectiveness. In recent years, the development of adaptive MacPherson struts has gained significant attention to improve handling, stability, and ride comfort. The optimization of the design parameters of adaptive MacPherson struts is crucial to achieve the desired performance characteristics. In this study, we present a comprehensive review of the design optimization of adaptive MacPherson struts using ANSYS simulation software. We discuss the various design parameters, simulation techniques, and optimization algorithms used in recent studies. The study aims to provide insights into the design and optimization of adaptive MacPherson struts using ANSYS simulation software.
Index Terms:-
MacPherson strut, ANSYS, Adaptive suspension, Optimization, Simulation
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    Crossref
  11. Bhise, D. V., Choudhari, S. A., Kumbhalkar, M., & Sardeshmukh, M. M., “Assimilation of advanced manufacturing technologies in small and medium sized enterprises: an empirical analysis”, Multidisciplinary Science Journal, volume 5, issue 4, 2023.
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