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Integration of algorithms for damage detection in thermoplastic materials inside electronic embedded devices
Structural Health Monitoring (SHM) in aircraft structures, currently manufactured mainly using composite material is a well-established technique to increase reliability and reduce maintenance costs. This is possible, largely, due to the implementation of damage inspection algorithms running in dedicated electronic systems to achieve reducing the processing time of the big amount of data obtained and to improve the final results. The use of electronic embedded devices simplifies the setup of SHM systems, and allows managing several simultaneous channels of emission-reception of signals, with its corresponding piezoelectric (PZT) transducers connected and stuck to the structure, with a spatial distribution which allows analysing the structure thoroughly. The devices can autonomously generate and acquire data, process it and obtain damage results, according to the algorithm used. It is expected that presence of composite materials based on thermoplastic matrix in aircraft will increase in coming years, due to its better mechanical features compared with thermoset matrix, in aspects such as the possibility of re-conforming once cured, flame retardant, high impact resistance, low moisture absorption, ability to use fusion, induction or resistance welding, less manufacturing time, etc. The thermoplastic material used for these tests has been Tenax®-E TPCL PEEK-HTA40. The material is made of 9 layers 0.31 mm thickness each (2.79 mm total nominal thickness), with polyetheretherketone (PEEK) matrix and carbon fibre reinforcement. The PZTs used have been DuraAct Patch Transducer, 17x13/D10x0,2 from PiCeramic. To detect and characterize defects in this type of materials, the RAPID (Reconstruction Algorithm for Probabilistic Inspection of Damage) and other types of algorithms have been used. The paper deals with the number and the distribution of the transducers, making possible to obtain different results of damaged structures compared with its pristine state as well as using only data from the current state.
Integration of algorithms for damage detection in thermoplastic materials inside electronic embedded devices
Structural Health Monitoring (SHM) in aircraft structures, currently manufactured mainly using composite material is a well-established technique to increase reliability and reduce maintenance costs. This is possible, largely, due to the implementation of damage inspection algorithms running in dedicated electronic systems to achieve reducing the processing time of the big amount of data obtained and to improve the final results. The use of electronic embedded devices simplifies the setup of SHM systems, and allows managing several simultaneous channels of emission-reception of signals, with its corresponding piezoelectric (PZT) transducers connected and stuck to the structure, with a spatial distribution which allows analysing the structure thoroughly. The devices can autonomously generate and acquire data, process it and obtain damage results, according to the algorithm used. It is expected that presence of composite materials based on thermoplastic matrix in aircraft will increase in coming years, due to its better mechanical features compared with thermoset matrix, in aspects such as the possibility of re-conforming once cured, flame retardant, high impact resistance, low moisture absorption, ability to use fusion, induction or resistance welding, less manufacturing time, etc. The thermoplastic material used for these tests has been Tenax®-E TPCL PEEK-HTA40. The material is made of 9 layers 0.31 mm thickness each (2.79 mm total nominal thickness), with polyetheretherketone (PEEK) matrix and carbon fibre reinforcement. The PZTs used have been DuraAct Patch Transducer, 17x13/D10x0,2 from PiCeramic. To detect and characterize defects in this type of materials, the RAPID (Reconstruction Algorithm for Probabilistic Inspection of Damage) and other types of algorithms have been used. The paper deals with the number and the distribution of the transducers, making possible to obtain different results of damaged structures compared with its pristine state as well as using only data from the current state.
Integration of algorithms for damage detection in thermoplastic materials inside electronic embedded devices
Azuara de Pablo, Guillermo (Autor:in) / Barrera López de Turiso, Eduardo (Autor:in) / Ruiz González, Mariano (Autor:in)
01.01.2018
Proceedings European Workshop on Structural Health Monitoring Series (EWSHM 2018) | European Workshop on Structural Health Monitoring Series (EWSHM 2018) | 10/7/2018-13/07/2018 | Manchester, Inglaterra
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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