Canister Satellite Light Weight Chassis Design using Bio Mimicry of Human Skeleton

Authors

  • Subham Pradhan  Kalpana Chawla Centre for Research in Space Science and Technology, Chandigarh University, Chandigarh, India
  • Satyam Kumar  Kalpana Chawla Centre for Research in Space Science and Technology, Chandigarh University, Chandigarh, India
  • Shubham Srivastav  Kalpana Chawla Centre for Research in Space Science and Technology, Chandigarh University, Chandigarh, India

DOI:

https://doi.org/10.32628/IJSRSET23103217

Keywords:

Chassis, Cansat, Structure, Body, Generative Design, Lightweight, Bio Mimicry.

Abstract

The design of Canister Satellite (CanSat) chassis plays a crucial role in ensuring the structural integrity, stability, and functionality of the payload during its mission. This research paper proposes a novel approach to CanSat chassis design by drawing inspiration from the biomechanical characteristics of the human skeleton. By mimicking the efficient load distribution, flexibility, and durability observed in the human skeletal system, this bio-inspired design aims to enhance the performance and survivability of CanSats. The paper presents a detailed analysis of the human skeletal system, discusses the fundamental principles of bio mimicry, and outlines the application of these principles to CanSat chassis design. Finite Element Analysis (FEA) and prototyping are utilized to validate the effectiveness of the proposed bio-inspired chassis design. The results demonstrate the potential benefits of integrating bio mimicry into aerospace engineering, fostering innovation in satellite technologies.

References

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Published

2023-09-05

Issue

Section

Research Articles

How to Cite

[1]
Subham Pradhan, Satyam Kumar, Shubham Srivastav "Canister Satellite Light Weight Chassis Design using Bio Mimicry of Human Skeleton" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 5, pp.01-09, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRSET23103217