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Authors = Angel Renato Pozo

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15 pages, 5371 KiB  
Article
Directional Response of Randomly Dispersed Carbon Nanotube Strain Sensors
by Alfredo Güemes, Angel Renato Pozo Morales, Antonio Fernandez-Lopez, Xoan Xose F. Sanchez-Romate, Maria Sanchez and Alejandro Ureña
Sensors 2020, 20(10), 2980; https://doi.org/10.3390/s20102980 - 24 May 2020
Cited by 6 | Viewed by 3733
Abstract
Tests on a double lap bonded joint, with transverse strips of randomly oriented carbon nanotubes (CNT) sprayed onto an epoxy adhesive film, showed a positive increment in electrical resistance under tensile load, even though the transverse strains were negative. Other experiments included in [...] Read more.
Tests on a double lap bonded joint, with transverse strips of randomly oriented carbon nanotubes (CNT) sprayed onto an epoxy adhesive film, showed a positive increment in electrical resistance under tensile load, even though the transverse strains were negative. Other experiments included in this work involved placing longitudinal and transversal CNT sensors in a tensile loaded aluminum plate, and, as reported by other authors, the results confirm that the resistance change is not only dependent on the strains oriented with the electrode line, while the other strain components also influence the response. This behavior is quite different to that of conventional strain gages which have a near zero sensitivity to strains not aligned to the sensor direction. The dependence of the electrical response on all the strain components makes it quite difficult, possibly unfeasible, to experimentally determine the individual strain components with this kind of sensors; however, the manufacturing of aligned CNT sensors could deal with this issue. Full article
(This article belongs to the Special Issue Carbon Nanotube and Graphene-based Sensors)
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15 pages, 3084 KiB  
Review
Structural Health Monitoring for Advanced Composite Structures: A Review
by Alfredo Güemes, Antonio Fernandez-Lopez, Angel Renato Pozo and Julián Sierra-Pérez
J. Compos. Sci. 2020, 4(1), 13; https://doi.org/10.3390/jcs4010013 - 27 Jan 2020
Cited by 239 | Viewed by 16143
Abstract
Condition-based maintenance refers to the installation of permanent sensors on a structure/system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural [...] Read more.
Condition-based maintenance refers to the installation of permanent sensors on a structure/system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural health monitoring (SHM). The changes caused by incipient damage on raw data collected by sensors are quite small, and are usually contaminated by noise and varying environmental factors, so the algorithms used to extract information from sensor data need to focus on sensitive damage features. The developments of SHM techniques over the last 20 years have been more related to algorithm improvements than to sensor progress, which essentially have been maintained without major conceptual changes (with regards to accelerometers, piezoelectric wafers, and fiber optic sensors). The main different SHM systems (vibration methods, strain-based fiber optics methods, guided waves, acoustic emission, and nanoparticle-doped resins) are reviewed, and the main issues to be solved are identified. Reliability is the key question, and can only be demonstrated through a probability of detection (POD) analysis. Attention has only been paid to this issue over the last ten years, but now it is a growing trend. Simulation of the SHM system is needed in order to reduce the number of experiments. Full article
(This article belongs to the Special Issue Feature Papers in Journal of Composites Science in 2019)
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