Table of Content

Open Access

ABSTRACT

Meta-model based Design Optimization of Two-stage Shock Absorption System for Lunar Lander

Min Hwan Oh, Hee Jun Lee, Minho Chung, Jin Yeon Cho, Do Soon Hwang

The International Conference on Computational & Experimental Engineering and Sciences 2011, 20(3), 93-94. https://doi.org/10.3970/icces.2011.020.093

Abstract

Lunar lander may experience various impact loadings when it makes a landing on the lunar surface. Due to the reason, shock absorption system of lunar lander should be designed to absorb the landing energy of lunar lander efficiently for a successful lunar mission. Shock absorption system should be reliable, and the entire landing energy should be absorbed into the shock absorption system to prevent a critical bouncing or turn-over. One the other hand, to protect the payloads, excessive deceleration should be avoided while absorbing the landing energy.

To design an efficient shock absorption system of lunar lander, which satisfies the aforementioned requirements, two-stage aluminum honeycomb shock absorption system in Fig. 1 is considered and its optimal design both for the cell size and foil thickness is carried out with the weight constraint in this work. In optimal design, meta-model based design optimization methodologies are utilized. Through the optimization, it is observed that landing impact force during the touchdown of lunar lander can be considerably reduced by changing the cell size and foil thickness of honeycomb structure in two-stage shock absorption system.

Cite This Article

Oh, M. H., Lee, H. J., Chung, M., Cho, J. Y., Hwang, D. S. (2011). Meta-model based Design Optimization of Two-stage Shock Absorption System for Lunar Lander. The International Conference on Computational & Experimental Engineering and Sciences, 20(3), 93–94.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 730

    View

  • 520

    Download

  • 0

    Like

Share Link

WeChat scan