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...

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Main Authors: Samir Mekid, Nouari Saheb, Shafique M A Khan, Khurram K Qureshi
Format: Article
Language:English
Published: Taylor & Francis Group 2015-06-01
Series:Science and Technology of Advanced Materials
Subjects:
Online Access:http://dx.doi.org/10.1088/1468-6996/16/3/034607
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spelling doaj-a6e24a0f249e426cb6422473009025162020-11-25T03:29:07ZengTaylor & Francis GroupScience and Technology of Advanced Materials1468-69961878-55142015-06-0116310.1088/1468-6996/16/3/03460711661289Towards sensor array materials: can failure be delayed?Samir Mekid0Nouari Saheb1Shafique M A Khan2Khurram K Qureshi3King Fahd University of Petroleum and MineralsKing Fahd University of Petroleum and MineralsKing Fahd University of Petroleum and MineralsKing Fahd University of Petroleum and MineralsFurther 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.http://dx.doi.org/10.1088/1468-6996/16/3/034607smart materialsnervous materialsembedded sensorssensor materials
collection DOAJ
language English
format Article
sources DOAJ
author Samir Mekid
Nouari Saheb
Shafique M A Khan
Khurram K Qureshi
spellingShingle Samir Mekid
Nouari Saheb
Shafique M A Khan
Khurram K Qureshi
Towards sensor array materials: can failure be delayed?
Science and Technology of Advanced Materials
smart materials
nervous materials
embedded sensors
sensor materials
author_facet Samir Mekid
Nouari Saheb
Shafique M A Khan
Khurram K Qureshi
author_sort Samir Mekid
title Towards sensor array materials: can failure be delayed?
title_short 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_sort towards sensor array materials: can failure be delayed?
publisher Taylor & Francis Group
series Science and Technology of Advanced Materials
issn 1468-6996
1878-5514
publishDate 2015-06-01
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.
topic smart materials
nervous materials
embedded sensors
sensor materials
url http://dx.doi.org/10.1088/1468-6996/16/3/034607
work_keys_str_mv AT samirmekid towardssensorarraymaterialscanfailurebedelayed
AT nouarisaheb towardssensorarraymaterialscanfailurebedelayed
AT shafiquemakhan towardssensorarraymaterialscanfailurebedelayed
AT khurramkqureshi towardssensorarraymaterialscanfailurebedelayed
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