Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Major/Program

Mechanical Engineering

First Advisor's Name

Pezhman Mardanpour

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Cesar Levy

Second Advisor's Committee Title

Committee member

Third Advisor's Name

Ibrahim Nur Tansel

Third Advisor's Committee Title

Committee member

Fourth Advisor's Name

Armin Mehrabi

Fourth Advisor's Committee Title

Committee member

Keywords

Origami, Foldable Structure, FEA, Kresling, Fatigue, Stability, Strain Energy, Origami Structure, Structural Analysis

Date of Defense

3-13-2023

Abstract

It is well known that origami, the ancient Japanese art of folding paper, has a number of applications in engineering and technology. Several fields, including electromagnetic devices, robotics, military, and biomedical, use origami-inspired structures in their designs and principles. This study's main objectives are to design a morphing mechanism for a reconfigurable structure and investigate its design parameters and mechanical performance. In order to design a flexible, foldable reconfigurable cylindrical structure, Kresling origami pattern is utilized. Various mechanical characteristics such as folding behavior, fatigue failure, stability analysis, and energy absorption are investigated in order to improve the proposed designs. The geometrically-exact, fully intrinsic nonlinear composite beam theory of Hodges is used to develop a numerical platform for assessing the stability of beam-like origami structure designs. Variational Asymptotic Beam Sectional (VABS) analysis is employed to estimate the structure's cross-sectional properties. In addition to offering significant computational advantages, the numerical platform results are in agreement with commercial finite element tools.

Through this study, it is investigated how the combination of different stories in a Kresling origami-inspired structure design can improve its mechanical performance. This study explores the effects of several design parameters such as length ratio, height of story, total height, thickness, length and thickness ratios of creases, and radius of the circumscribed circle of polygonal on the folding pattern and mechanical characteristic of the designs.

Due to significant and complicated deformations in crease sections during the folding and unfolding process, a specific crease design is introduced to overcome these difficulties.

This part of the study is performed using ANSYS software's Finite Element Method (FEM).

In the next step, an Artificial Neural Network (ANN) algorithm is developed for predicting the mechanical characteristics of the origami structure, which reduces the computational cost compared to the conventional methods. The proposed approach predicts fatigue failure and stability with high accuracy of an average error of 2%. It is shown that the length ratio (b/a) magnifies the impact of total height on the life cycle in some designs. It is demonstrated that decreasing the radius of the circumscribed circle, the length ratio, and the total height of the origami-inspired structure enhances stability. The influence of crease indexes on the stability depends on the radius of the circumscribed circle. Furthermore, this study investigates how these parameters simultaneously affect the proposed designs' buckling load and life cycle. Based on the results, an optimized origami structure can be designed using a detailed parameter characteristic map.

Identifier

FIDC011034

ORCID

0000-0002-9285-5043

Previously Published In

  • Moshtaghzadeh, M., and Mardanpour, P., 2023. Design, Mechanical Characteristics Evaluation, and Energy Absorption of Multi-Story Kresling Origami-Inspired Structures. Mechanics Research Communications, Under review.
  • Moshtaghzadeh, M., Bakhtiari, A. and Mardanpour, P., 2023. Optimized Kresling origami-inspired structures using Artificial Neural Network and Monte Carlo Method. In AIAA SCITECH 2023 Forum (p. 1767).
  • Moshtaghzadeh, M., Bakhtiari, A. and Mardanpour, P., 2022. Artificial Neural Network-based Finite Element method for assessing fatigue and stability of an origami-inspired structure. Engineering Structures, 272, p.114965.
  • Moshtaghzadeh, M., Bakhtiari, A. and Mardanpour, P., 2022, October. Nonlinear Stability Analysis of a Reconfigurable Origami-Inspired Structure. In ASME International Mechanical Engineering Congress and Exposition (Vol. 86717, p. V009T12A016). American Society of Mechanical Engineers.
  • Moshtaghzadeh, M., Bakhtiari, A., Izadpanahi, E. and Mardanpour, P., 2022. Artificial Neural Network for the prediction of fatigue life of a flexible foldable origami antenna with Kresling pattern. Thin-Walled Structures, 174, p.109160.
  • Moshtaghzadeh, M., Izadpanahi, E. and Mardanpour, P., 2022. Prediction of fatigue life of a flexible foldable origami antenna with Kresling pattern. Engineering Structures, 251, p.113399.
  • Moshtaghzadeh, M., Bakhtiari, A., Izadpanahi, E. and Mardanpour, P., 2022. Stability and Fatigue Analysis of an Adaptive Origami Antenna Structure with Kresling Pattern. In AIAA SCITECH 2022 Forum (p. 0921).
  • Moshtaghzadeh, M., Izadpanahi, E. and Mardanpour, P., 2021. Stability analysis of an origami helical antenna using geometrically exact fully intrinsic nonlinear composite beam theory. Engineering Structures, 234, p.111894.
  • Zekios, C.L., Liu, X., Moshtaghzadeh, M., Izadpanahi, E., Radnezhad, H.R., Mardanpour, P. and Georgakopoulos, S.V., 2019, August. Electromagnetic and mechanical analysis of an origami helical antenna encapsulated by fabric. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 59247, p. V05BT07A045). American Society of Mechanical Engineers.

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