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Shape memory alloys (SMAs), in comparison with other materials, have the exceptional ability to change their properties, structure, and functionality depending on the thermal, magnetic, and/or stress fields applied. As is well known, in recent decades, the development of SMAs has allowed innovative solutions and alternatives in biomedical applications and advanced engineering structures for aerospace and automotive industries as well as in sensor and actuation systems, among other sectors. Irrespective of this, designing and engineering using these special smart materials requires a solid background in materials science in order to consolidate their importance in these fields and to broaden their relevance for other new applications. The goal of this Special Issue is to foster the dissemination of some of the latest research devoted to these special materials from different perspectives.
Technology: general issues --- shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing --- shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing
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The adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled “Advances in Sensors and Sensing for Technical Condition Assessment and NDT”, we present the latest research in various areas of technology.
Technology: general issues --- pulse compression --- scattering --- attenuation --- insulation --- ultrasonic testing --- OLTC --- AE sensor --- acoustic emission --- feature extraction --- supervised classification --- machine learning --- contrast-enhanced ultrasound --- muscle perfusion --- Nakagami parameter --- compounding Nakagami imaging --- low-frequency sensor --- power transformer --- low-frequency noise --- genetic algorithm --- geometric layout of railway track --- track axis identification --- tramway loop --- route’s polygon --- GNSS mobile measurements --- vibroarthography --- VAG --- knee joint --- spectral features --- frequency analysis --- non-invasive examination --- lateral temperature gradient --- temperature field --- boundary conditions --- solar radiation intensity --- temperature monitoring --- non-destructive evaluation --- eddy current --- 3D sensing --- inverse problem --- wavelet transform --- principal component analysis --- neural network --- incubation --- spectrum --- image processing --- ROC curve --- infrasound measurement system --- wind turbine --- infrasound correlation analysis --- measuring scale --- thermoelastic deformation --- coefficient of thermal expansion --- elastic waves --- laser ultrasound --- Fizeau fiber interferometer --- defect identification --- high-current pulses --- current measurement --- high-current shunts --- circuit modeling --- Rogowski coil --- electrodynamic accelerators --- n/a --- route's polygon
Choose an application
Shape memory alloys (SMAs), in comparison with other materials, have the exceptional ability to change their properties, structure, and functionality depending on the thermal, magnetic, and/or stress fields applied. As is well known, in recent decades, the development of SMAs has allowed innovative solutions and alternatives in biomedical applications and advanced engineering structures for aerospace and automotive industries as well as in sensor and actuation systems, among other sectors. Irrespective of this, designing and engineering using these special smart materials requires a solid background in materials science in order to consolidate their importance in these fields and to broaden their relevance for other new applications. The goal of this Special Issue is to foster the dissemination of some of the latest research devoted to these special materials from different perspectives.
Technology: general issues --- shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing --- n/a
Choose an application
The adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled “Advances in Sensors and Sensing for Technical Condition Assessment and NDT”, we present the latest research in various areas of technology.
pulse compression --- scattering --- attenuation --- insulation --- ultrasonic testing --- OLTC --- AE sensor --- acoustic emission --- feature extraction --- supervised classification --- machine learning --- contrast-enhanced ultrasound --- muscle perfusion --- Nakagami parameter --- compounding Nakagami imaging --- low-frequency sensor --- power transformer --- low-frequency noise --- genetic algorithm --- geometric layout of railway track --- track axis identification --- tramway loop --- route’s polygon --- GNSS mobile measurements --- vibroarthography --- VAG --- knee joint --- spectral features --- frequency analysis --- non-invasive examination --- lateral temperature gradient --- temperature field --- boundary conditions --- solar radiation intensity --- temperature monitoring --- non-destructive evaluation --- eddy current --- 3D sensing --- inverse problem --- wavelet transform --- principal component analysis --- neural network --- incubation --- spectrum --- image processing --- ROC curve --- infrasound measurement system --- wind turbine --- infrasound correlation analysis --- measuring scale --- thermoelastic deformation --- coefficient of thermal expansion --- elastic waves --- laser ultrasound --- Fizeau fiber interferometer --- defect identification --- high-current pulses --- current measurement --- high-current shunts --- circuit modeling --- Rogowski coil --- electrodynamic accelerators --- n/a --- route's polygon
Choose an application
Shape memory alloys (SMAs), in comparison with other materials, have the exceptional ability to change their properties, structure, and functionality depending on the thermal, magnetic, and/or stress fields applied. As is well known, in recent decades, the development of SMAs has allowed innovative solutions and alternatives in biomedical applications and advanced engineering structures for aerospace and automotive industries as well as in sensor and actuation systems, among other sectors. Irrespective of this, designing and engineering using these special smart materials requires a solid background in materials science in order to consolidate their importance in these fields and to broaden their relevance for other new applications. The goal of this Special Issue is to foster the dissemination of some of the latest research devoted to these special materials from different perspectives.
shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing --- n/a
Choose an application
The adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled “Advances in Sensors and Sensing for Technical Condition Assessment and NDT”, we present the latest research in various areas of technology.
Technology: general issues --- pulse compression --- scattering --- attenuation --- insulation --- ultrasonic testing --- OLTC --- AE sensor --- acoustic emission --- feature extraction --- supervised classification --- machine learning --- contrast-enhanced ultrasound --- muscle perfusion --- Nakagami parameter --- compounding Nakagami imaging --- low-frequency sensor --- power transformer --- low-frequency noise --- genetic algorithm --- geometric layout of railway track --- track axis identification --- tramway loop --- route's polygon --- GNSS mobile measurements --- vibroarthography --- VAG --- knee joint --- spectral features --- frequency analysis --- non-invasive examination --- lateral temperature gradient --- temperature field --- boundary conditions --- solar radiation intensity --- temperature monitoring --- non-destructive evaluation --- eddy current --- 3D sensing --- inverse problem --- wavelet transform --- principal component analysis --- neural network --- incubation --- spectrum --- image processing --- ROC curve --- infrasound measurement system --- wind turbine --- infrasound correlation analysis --- measuring scale --- thermoelastic deformation --- coefficient of thermal expansion --- elastic waves --- laser ultrasound --- Fizeau fiber interferometer --- defect identification --- high-current pulses --- current measurement --- high-current shunts --- circuit modeling --- Rogowski coil --- electrodynamic accelerators --- pulse compression --- scattering --- attenuation --- insulation --- ultrasonic testing --- OLTC --- AE sensor --- acoustic emission --- feature extraction --- supervised classification --- machine learning --- contrast-enhanced ultrasound --- muscle perfusion --- Nakagami parameter --- compounding Nakagami imaging --- low-frequency sensor --- power transformer --- low-frequency noise --- genetic algorithm --- geometric layout of railway track --- track axis identification --- tramway loop --- route's polygon --- GNSS mobile measurements --- vibroarthography --- VAG --- knee joint --- spectral features --- frequency analysis --- non-invasive examination --- lateral temperature gradient --- temperature field --- boundary conditions --- solar radiation intensity --- temperature monitoring --- non-destructive evaluation --- eddy current --- 3D sensing --- inverse problem --- wavelet transform --- principal component analysis --- neural network --- incubation --- spectrum --- image processing --- ROC curve --- infrasound measurement system --- wind turbine --- infrasound correlation analysis --- measuring scale --- thermoelastic deformation --- coefficient of thermal expansion --- elastic waves --- laser ultrasound --- Fizeau fiber interferometer --- defect identification --- high-current pulses --- current measurement --- high-current shunts --- circuit modeling --- Rogowski coil --- electrodynamic accelerators
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