Published June 2015 | Version v1
Journal article

Towards sensor array materials: can failure be delayed?

  • 1. Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran (Saudi Arabia)
  • 2. Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran (Saudi Arabia)

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. (focus issue review)

Availability note (English)

Available from http://dx.doi.org/10.1088/1468-6996/16/3/034607

Additional details

Publishing Information

Journal Title
Science and Technology of Advanced Materials
Journal Volume
16
Journal Issue
3
Journal Page Range
[15 p.]
ISSN
1468-6996

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47110646
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
AIRCRAFT; FAILURES; HEALING; MAINTENANCE; MANUFACTURING; MATHEMATICAL SOLUTIONS; NERVOUS SYSTEM; RELIABILITY; SENSORS; SIMULATION; STRAINS; STRESSES
Descriptors DEC
BIOLOGICAL RECOVERY