Content area

Abstract

The demand for autonomous vehicles capable of navigating challenging terrains has necessitated the development of innovative design solutions. It emphasizes the chassis' role as a foundational framework for supporting the vehicle's body and components, requiring both the strength to endure various stresses from shock and vibration, as well as sufficient bending stiffness for improved handling. This study introduces a chassis for an innovative autonomous vehicle tailored for rough terrain navigation with a unique feature: an optimized chassis designed and equipped with quadcopter wireless charging systems. This study aimed to achieve an optimal balance between structural integrity and weight efficiency for the chassis. This is achieved through incorporating both existing theoretical knowledge and advanced analytical methods, specifically linear stress and deformation analysis. Utilizing Finite Element Methods and MATLAB, the author derived the optimum mass and length parameters for the chassis, ensuring robustness while minimizing material usage. The results indicate that this chassis not only offers a sustainable solution for rough terrain navigation but also can provide a reliable charging platform for quadcopters. This integration of advanced design techniques with practical application paves the way for a new era of autonomous vehicles tailored for specialized environments.

Details

1010268
Title
Optimizing Chassis Design for Autonomous Vehicles in Challenging Environments Based on Finite Element Analysis and Genetic Algorithm
Number of pages
121
Publication year
2025
Degree date
2025
School code
0320
Source
MAI 87/1(E), Masters Abstracts International
ISBN
9798288805943
Committee member
Ebrahimpour, Arya; Zibran, Minhaz
University/institution
Idaho State University
Department
College of Science and Engineering - Mech Eng
University location
United States -- Idaho
Degree
M.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32118009
ProQuest document ID
3228989688
Document URL
https://www.proquest.com/dissertations-theses/optimizing-chassis-design-autonomous-vehicles/docview/3228989688/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic