Fiber optic nerve systems for smart materials and smart structures

Hotate, Kazuo

doi:10.1109/mwp.2008.4666627

Cited by 2 publications

(1 citation statement)

References 29 publications

(33 reference statements)

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“…However, we are far from satisfying this condition for nervous materials because of the limited performance of the existing sensors. The efficiency of nervous materials can be improved by embedding the appropriate sensors [6, 7]. In fact, realization of nervous materials depends on the development and integration of sensors in the host materials with large-scale coverage in a network [8].…”

Section: System Descriptionsmentioning

confidence: 99%

Towards sensor array materials: can failure be delayed?

Mekid

Saheb

Khan

et al. 2015

Science and Technology of Advanced Materials

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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.

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Section: System Descriptionsmentioning

confidence: 99%

Towards sensor array materials: can failure be delayed?

Mekid

Saheb

Khan

et al. 2015

Science and Technology of Advanced Materials

View full text Add to dashboard Cite

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Fiber-Embedded Metallic Materials: From Sensing towards Nervous Behavior

Saheb

Mekid

2015

Materials

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Embedding of fibers in materials has attracted serious attention from researchers and has become a new research trend. Such material structures are usually termed “smart” or more recently “nervous”. Materials can have the capability of sensing and responding to the surrounding environmental stimulus, in the former, and the capability of feeling multiple structural and external stimuli, while feeding information back to a controller for appropriate real-time action, in the latter. In this paper, embeddable fibers, embedding processes, and behavior of fiber-embedded metallic materials are reviewed. Particular emphasis has been given to embedding fiber Bragg grating (FBG) array sensors and piezo wires, because of their high potential to be used in nervous materials for structural health monitoring. Ultrasonic consolidation and laser-based layered manufacturing processes are discussed in detail because of their high potential to integrate fibers without disruption. In addition, current challenges associated with embedding fibers in metallic materials are highlighted and recommendations for future research work are set.

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Fiber optic nerve systems for smart materials and smart structures

Cited by 2 publications

References 29 publications

Towards sensor array materials: can failure be delayed?

Towards sensor array materials: can failure be delayed?

Fiber-Embedded Metallic Materials: From Sensing towards Nervous Behavior

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