Articles
| Open Access |
DOI: CRASH BOX EVALUATION: ANALYZING AND VALIDATING ENERGY ABSORPTION CAPACITY
Omkar Waghmare , Mechanical Engineering, SRTTC FOE Pune, Maharashtra, India Krishna Thorat , Mechanical Engineering, SRTTC FOE Pune, Maharashtra, IndiaAbstract
This study presents an evaluation of crash boxes focusing on analyzing and validating their energy absorption capacity. Crash boxes serve as crucial components in vehicle safety systems, designed to absorb kinetic energy during collisions and mitigate the impact forces on occupants and structures. The research involves a comprehensive analysis of crash box designs, material properties, and structural configurations using numerical simulations and experimental validation techniques. Various parameters, including geometry, material selection, and impact conditions, are investigated to assess their influence on the energy absorption capabilities of crash boxes. Experimental tests are conducted to validate the numerical models and evaluate the real-world performance of crash boxes under controlled impact scenarios. The findings provide valuable insights into optimizing crash box designs for enhanced energy absorption and improved vehicle safety.
Keywords
Crash box, Energy absorption, Vehicle safety
References
DD Dhananjay, et al. Analysis and Development of Energy Absorbing Crash Box. IJARIIE. 2016;2:3776-3782.
N Yoshiaki, et al. Development of Crash-Box for Passenger Car with High Capability for Energy Absorption. International Conference on Computational Plasticity. 2005.
Y Liu, et al. A Study of using Different Crash Box Types in Automobile Frontal Collision. International Journal of Simulation: Systems, Science and Technology. 2016;17:1-21.
Santosa, et al. Crash behavior of box columns filled with aluminum honeycomb or foam. Computers and Structures.1998;343-367.
W Abramowicz. Thin-walled structures as impact energy absorbers. Thin-Walled Structures. 2013;9-107.
Arivalagan, et al. Energy Absorption Capacity of Composite Beams. Journal of Engineering Science and Technology Review. 2009;2:145-150
Article Statistics
Copyright License
Copyright (c) 2024 Omkar Waghmare, Krishna Thorat
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.