Cargando…

Towards sensor array materials: can failure be delayed?

Further to prior development in enhancing structural health using smart materials, an innovative class of materials characterized by the ability to feel senses like humans, i.e. ‘nervous materials’, is discussed. Designed at all scales, these materials will enhance personnel and public safety, and s...

Descripción completa

Detalles Bibliográficos
Autores principales: Mekid, Samir, Saheb, Nouari, Khan, Shafique M A, Qureshi, Khurram K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099831/
https://www.ncbi.nlm.nih.gov/pubmed/27877794
http://dx.doi.org/10.1088/1468-6996/16/3/034607
_version_ 1782466010622722048
author Mekid, Samir
Saheb, Nouari
Khan, Shafique M A
Qureshi, Khurram K
author_facet Mekid, Samir
Saheb, Nouari
Khan, Shafique M A
Qureshi, Khurram K
author_sort Mekid, Samir
collection PubMed
description Further to prior development in enhancing structural health using smart materials, an innovative class of materials characterized by the ability to feel senses like humans, i.e. ‘nervous materials’, is discussed. Designed at all scales, these materials will enhance personnel and public safety, and secure greater reliability of products. Materials may fail suddenly, but any system wishes that failure is known in good time and delayed until safe conditions are reached. Nervous materials are expected to be the solution to this statement. This new class of materials is based on the novel concept of materials capable of feeling multiple structural and external stimuli, e.g. stress, force, pressure and temperature, while feeding information back to a controller for appropriate real-time action. The strain–stress state is developed in real time with the identified and characterized source of stimulus, with optimized time response to retrieve initial specified conditions, e.g. shape and strength. Sensors are volumetrically embedded and distributed, emulating the human nervous system. Immediate applications are in aircraft, cars, nuclear energy and robotics. Such materials will reduce maintenance costs, detect initial failures and delay them with self-healing. This article reviews the common aspects and challenges surrounding this new class of materials with types of sensors to be embedded seamlessly or inherently, including appropriate embedding manufacturing techniques with modeling and simulation methods.
format Online
Article
Text
id pubmed-5099831
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-50998312016-11-22 Towards sensor array materials: can failure be delayed? Mekid, Samir Saheb, Nouari Khan, Shafique M A Qureshi, Khurram K Sci Technol Adv Mater Reviews Further to prior development in enhancing structural health using smart materials, an innovative class of materials characterized by the ability to feel senses like humans, i.e. ‘nervous materials’, is discussed. Designed at all scales, these materials will enhance personnel and public safety, and secure greater reliability of products. Materials may fail suddenly, but any system wishes that failure is known in good time and delayed until safe conditions are reached. Nervous materials are expected to be the solution to this statement. This new class of materials is based on the novel concept of materials capable of feeling multiple structural and external stimuli, e.g. stress, force, pressure and temperature, while feeding information back to a controller for appropriate real-time action. The strain–stress state is developed in real time with the identified and characterized source of stimulus, with optimized time response to retrieve initial specified conditions, e.g. shape and strength. Sensors are volumetrically embedded and distributed, emulating the human nervous system. Immediate applications are in aircraft, cars, nuclear energy and robotics. Such materials will reduce maintenance costs, detect initial failures and delay them with self-healing. This article reviews the common aspects and challenges surrounding this new class of materials with types of sensors to be embedded seamlessly or inherently, including appropriate embedding manufacturing techniques with modeling and simulation methods. Taylor & Francis 2015-06-02 /pmc/articles/PMC5099831/ /pubmed/27877794 http://dx.doi.org/10.1088/1468-6996/16/3/034607 Text en © 2015 National Institute for Materials Science http://creativecommons.org/licenses/by/3.0/ Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
spellingShingle Reviews
Mekid, Samir
Saheb, Nouari
Khan, Shafique M A
Qureshi, Khurram K
Towards sensor array materials: can failure be delayed?
title Towards sensor array materials: can failure be delayed?
title_full Towards sensor array materials: can failure be delayed?
title_fullStr Towards sensor array materials: can failure be delayed?
title_full_unstemmed Towards sensor array materials: can failure be delayed?
title_short Towards sensor array materials: can failure be delayed?
title_sort towards sensor array materials: can failure be delayed?
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099831/
https://www.ncbi.nlm.nih.gov/pubmed/27877794
http://dx.doi.org/10.1088/1468-6996/16/3/034607
work_keys_str_mv AT mekidsamir towardssensorarraymaterialscanfailurebedelayed
AT sahebnouari towardssensorarraymaterialscanfailurebedelayed
AT khanshafiquema towardssensorarraymaterialscanfailurebedelayed
AT qureshikhurramk towardssensorarraymaterialscanfailurebedelayed