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J. Compos. Sci.
Special Issues
Multi-Functional Intelligent Composite Structures: Design, Manufacturing and Applications
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Multi-Functional Intelligent Composite Structures: Design, Manufacturing and Applications

A special issue of Journal of Composites Science (ISSN 2504-477X).

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 3908

Special Issue Editors

Dr. Mohammad Faisal Haider

E-Mail Website
Guest Editor
Structures and Composites Laboratory, Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA
Interests: multi-functional composites; multi-functional intelligent structures; structural health monitoring; battery health monitoring; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Hanfei Mei

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of South Carolina, Columbia, SC, USA
Interests: composite modeling; nondestructive evaluation; structural health monitoring; ultrasonic guided waves; finite element modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a forum for scientists and engineers to share and discuss their original findings or recent advances in multi-functional intelligent composite structures and their potential applications. It is envisioned that with the increasing demand of cyber-physical systems (CPS) for autonomy and autonomous systems, multi-functional intelligent composite structures will play a big role. CPS are a synergistic technology existing between physical and computational systems. Bio-inspired distributed sensors, actuators, and embedded devices are networked to sense, monitor, and control the physical system, whereas the cyber system provides an autonomous solution through artificial intelligence (AI).  Multi-functional composites have anisotropic properties that can be tailored for a particular application. Such advanced “engineered materials” are increasingly used in a wide range of applications (mechanical, civil or aerospace structures; energy devices such as fuel cells and batteries; and bio-medical components). The unique manufacturing processes can embed sensor networks within composites that act analogously to nervous systems and make the structures intelligent. The structures can provide a systemwide integrated solution of various sensing systems in a unified approach to building highly intelligent and fully autonomous systems to perform self-sensing, self-diagnostics, and autonomous control. However, the manufacturing methods must be (i) low cost to fabricate and easy to install, (ii) low weight and have no penalty to structural properties, and (iii) accurate and reliable in real-time. Successful and automated damage detection is also a key concern for composites in different applications. Composite structures are prone to various types of damage, including fiber breakage, matrix cracking, delamination, and impact damage. Barely visible impact damage (BVID) from low-velocity impact is the most prevalent type of damage found in composite structures. Due to the general anisotropic behavior and complex damage scenarios, the successful implementation of damage detection in aerospace composite structures is always challenging.

Therefore, papers on the design, manufacturing, and application of advanced multi-functional intelligent composite structures and the damage detection methods are particularly welcome.

Dr. Mohammad Faisal Haider
Dr. Hanfei Mei
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Composites Science is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Cyber-physical systems
  • Sensor networks
  • Artificial intelligence
  • Non-destructive evaluation
  • Structural health monitoring
  • Multi-functional composites
  • Manufacturing of composites

Published Papers (1 paper)

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Review

41 pages, 9863 KiB  
Review
A Review of Nanocarbon-Based Solutions for the Structural Health Monitoring of Composite Parts Used in Renewable Energies
by Antoine Lemartinel, Mickael Castro, Olivier Fouché, Julio-César De-Luca and Jean-François Feller
J. Compos. Sci. 2022, 6(2), 32; https://0-doi-org.brum.beds.ac.uk/10.3390/jcs6020032 - 19 Jan 2022
Cited by 8 | Viewed by 3352
Abstract
The growing demands for electrical energy, especially renewable, is boosting the development of wind turbines equipped with longer composite blades. To reduce the maintenance cost of such huge composite parts, the structural health monitoring (SHM) is an approach to anticipate and/or follow the [...] Read more.
The growing demands for electrical energy, especially renewable, is boosting the development of wind turbines equipped with longer composite blades. To reduce the maintenance cost of such huge composite parts, the structural health monitoring (SHM) is an approach to anticipate and/or follow the structural behaviour along time. Apart from the development of traditional non-destructive testing methods, in order to reduce the use of intrusive instrumentation there is a growing interest for the development of “self-sensing materials”. An interesting route to achieve this, can be to introduce carbon nanofillers such as nanotubes (CNT) in the composite structures, which enables to create systems that are sensitive to both strain and damage. This review aims at updating the state of the art of this topic so far. A first overview of the existing SHM techniques for thermoset based wind turbine blades composites is presented. Then, the use of self-sensing materials for strain and damage sensing is presented. Different strategies are overviewed and discussed, from the design of conductive composites such as carbon fibres reinforced polymers, to the elaboration of conductive nano-reinforced polymer composites. The origins of sensing mechanisms along with the percolation theory applied to nanofillers dispersed in polymer matrices are also detailed. Full article
(This article belongs to the Special Issue Multi-Functional Intelligent Composite Structures: Design, Manufacturing and Applications)
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