Advancements in Polymer-Based Sensors and Actuators for Structural Health Monitoring in Aerospace: A Comprehensive Review of Emerging Trends

[{“box”:0,”content”:”[if 992 equals=”Open Access”]n

n

n

n

Open Access

nn

n

n[/if 992]n

n

Year : July 19, 2024 at 1:57 pm | [if 1553 equals=””] Volume : [else] Volume :[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : | Page : –

n

n

n

n

n

n

By

n

[foreach 286]n

n

n

Dr. Mehak Jonjua,

n

    n t

  • n

n

n[/foreach]

n

n[if 2099 not_equal=”Yes”]n

    [foreach 286] [if 1175 not_equal=””]n t

  1. Professor Sharda School of Media, film & Entertainment, Sharda University ,Greater Noida Uttar Pradesh India
  2. n[/if 1175][/foreach]

n[/if 2099][if 2099 equals=”Yes”][/if 2099]n

n

Abstract

nStructural health monitoring (SHM) has emerged as a critical aspect of aerospace engineering, aiming to ensure the safety and reliability of aircraft structures throughout their operational lifespan. In aerospace engineering, structural health monitoring is one of the most important aspects of aerospace engineering. It aims to ensure that aircraft structures are safe and reliable over their entire service life. Polymer-based actuators and sensors have attracted a lot of attention because of their lightweight, flexibility, and low cost. The study will look at the current state of the art, as well as the emerging trends in aerospace SHM with polymer-based actuators. We will look at different types of polymers, fabrication methods, sensing mechanisms and integration strategies. We will also look at the capabilities and limitations of these technologies. In addition, we will also look at how machine learning algorithms can be integrated with data analytics to enable real-time tracking and predictive maintenance of aircraft structures. The goal of this review is to provide an overview of the state of the art and future directions in aerospace SHM that will benefit researchers and practitioners.

n

n

n

Keywords: Structural health monitoring, aerospace, polymer-based sensors, polymer-based actuators, emerging trends, machine learning, predictive maintenance.

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Polymer and Composites(jopc)]

n

[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Polymer and Composites(jopc)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

n

n

n

How to cite this article: Dr. Mehak Jonjua. Advancements in Polymer-Based Sensors and Actuators for Structural Health Monitoring in Aerospace: A Comprehensive Review of Emerging Trends. Journal of Polymer and Composites. July 18, 2024; ():-.

n

How to cite this URL: Dr. Mehak Jonjua. Advancements in Polymer-Based Sensors and Actuators for Structural Health Monitoring in Aerospace: A Comprehensive Review of Emerging Trends. Journal of Polymer and Composites. July 18, 2024; ():-. Available from: https://journals.stmjournals.com/jopc/article=July 18, 2024/view=0

nn[if 992 equals=”Open Access”] Full Text PDF Download[/if 992] n

n[if 992 not_equal=’Open Access’] [/if 992]n

n

n

nn[if 379 not_equal=””]n

Browse Figures

n

n

[foreach 379]n

n[/foreach]n

n

n

n[/if 379]n

n

References

n[if 1104 equals=””]n

1.Carrino, S.; Maffezzoli, A.; Scarselli, G. Active SHM for composite pipes using piezoelectric sensors. Mater. Today Proc. 2021, 34, 1–9. 2.Capineri, L.; Bulletti, A. Ultrasonic guided-waves sensors and integrated structural health monitoring systems for impact detection and localization: A review. Sensors 2021, 21, 2929.   3.Dong, T.; Nam, H.K. Cost-effectiveness of structural health monitoring in fuselage maintenance of the civil aviation industry. Aerospace 2018, 5, 97.   4.Horoschenkoff A, Mueller T, Kroell A. On the characterization of the piezoresistivity of embedded carbon fibres. 17th ICCM; 2009. 5.Hasan MM, Matthes A, Schneider P, Cherif C. Application of Carbon Filament (CF) for structural health monitoring of textile reinforced thermoplastic composites. Materials Science and Technology. 2011 Jul 1; 26(3):128–34. 6.Kunadt A, Heinig A, Starke E, Pfeifer G, Cheriff C, Fischer WJ. Design and properties of a sensor network embedded in thin fiber-reinforced composites. Sensors. 2010 IEEE; 2010 Nov 1. p. 673–7. 7.Kot, P.; Muradov, M.; Gkantou, M.; Kamaris, G.S.; Hashim, K.; Yeboah, D. Recent advancements in non-destructive testing techniques for structural health monitoring. Appl. Sci. 2021, 11, 2750. 8.Mitra, M.; Gopalakrishnan, S. Guided wave based structural health monitoring: A review. Smart Mater. Struct. 2016, 25, 053001.   9.Suzuki Y, Todoroki A, Matsuzaki R, Mizutani Y. Impactdamage visualization in CFRP by resistive heating: Development of a new detection method for indentations caused by impact loads. Composites Part A: Applied Science and Manufacturing. 2012 Jan 31; 43(1):53–64. 10.Swait TJ, Jones FR, Hayes SA. A practical structural health monitoring system for carbon fibre reinforced composite based on electrical resistance. Composites Science and Technology. 2012 Aug 22; 72(13):1515–23. 11.Vavouliotis A, Paipetis A, Kostopoulos V. On the fatigue life prediction of CFRP laminates using the electrical resistance change method. Composites Science and Technology. 2011. Mar 22; 71(5):630–42.  

nn[/if 1104][if 1104 not_equal=””]n

    [foreach 1102]n t

  1. [if 1106 equals=””], [/if 1106][if 1106 not_equal=””],[/if 1106]
  2. n[/foreach]

n[/if 1104]

nn


nn[if 1114 equals=”Yes”]n

n[/if 1114]

n

n

[if 424 not_equal=””][else]Ahead of Print[/if 424] Open Access Review Article

n

n

n

n

n

Journal of Polymer and Composites

n

[if 344 not_equal=””]ISSN: 2321–2810[/if 344]

n

n

n

n

n

[if 2146 equals=”Yes”][/if 2146][if 2146 not_equal=”Yes”][/if 2146]n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n[if 1748 not_equal=””]

[else]

[/if 1748]n

n

n

Volume
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424]
Received May 8, 2024
Accepted June 1, 2024
Published July 18, 2024

n

n

n

n

n

n nfunction myFunction2() {nvar x = document.getElementById(“browsefigure”);nif (x.style.display === “block”) {nx.style.display = “none”;n}nelse { x.style.display = “Block”; }n}ndocument.querySelector(“.prevBtn”).addEventListener(“click”, () => {nchangeSlides(-1);n});ndocument.querySelector(“.nextBtn”).addEventListener(“click”, () => {nchangeSlides(1);n});nvar slideIndex = 1;nshowSlides(slideIndex);nfunction changeSlides(n) {nshowSlides((slideIndex += n));n}nfunction currentSlide(n) {nshowSlides((slideIndex = n));n}nfunction showSlides(n) {nvar i;nvar slides = document.getElementsByClassName(“Slide”);nvar dots = document.getElementsByClassName(“Navdot”);nif (n > slides.length) { slideIndex = 1; }nif (n (item.style.display = “none”));nArray.from(dots).forEach(nitem => (item.className = item.className.replace(” selected”, “”))n);nslides[slideIndex – 1].style.display = “block”;ndots[slideIndex – 1].className += ” selected”;n}n”}]