A system for detecting and quantifying changes in the stress-strain state of a ferrous structure includes an exciter coil system is positioned to generate an AC magnetic field that couples into the ferrous structure. A detector apparatus is positioned relative to the excited to detect an eddy current magnetic field resulting from the AC magnetic field generated by the exciter coil system. An analyzer compares the eddy current magnetic field parameters detected by the detector apparatus with the direct AC magnetic field transmitted by the exciter coil system and correlates changes in the parameters of the eddy current magnetic field with the stress-strain on the ferrous structure.

Provided are a method for measuring the magnetic transformation rate of a steel sheet in an annealing furnace and an apparatus for measuring the same, and a continuous annealing process and a continuous galvanizing process which utilize the method and the apparatus. One such method includes delivering an alternating-current driving signal to the surface of the steel sheet by using an air-core driving coil having a size larger than, a width of the steel sheet, measuring the driving signal reflected by the steel sheet by using air-core receiving coils having a size larger than the width of the steel sheet, and determining the magnetic transformation rate of the steel sheet by using a measurement processing unit based on a distance between the steel sheet and the driving coil which has been corrected by using the measured values of the driving signal obtained by using the receiving coils.

A system for ultra-high temperature in-situ fretting fatigue experiment, includes a heat preservation cover defining a, a heating device arranged in the mounting space, a first test sample, a second test sample, and a clamping device arranged in the mounting space. The first test sample and the second test sample are arranged at an upper end of the heating device along a horizontal direction. A mortise is formed at an end of the first test sample facing towards the second test sample. A tenon mating with the mortise is formed at an end of the second test sample facing towards the first test sample. The clamping device is configured to be clamped at two ends of the mated first test sample and second test sample and to apply a periodically reciprocating loading along a length direction of the first test sample and the second test sample.

A system for ultra-high temperature in-situ fretting fatigue experiment, includes a heat preservation cover defining a, a heating device arranged in the mounting space, a first test sample, a second test sample, and a clamping device arranged in the mounting space. The first test sample and the second test sample are arranged at an upper end of the heating device along a horizontal direction. A mortise is formed at an end of the first test sample facing towards the second test sample. A tenon mating with the mortise is formed at an end of the second test sample facing towards the first test sample. The clamping device is configured to be clamped at two ends of the mated first test sample and second test sample and to apply a periodically reciprocating loading along a length direction of the first test sample and the second test sample.

Provided are a method for measuring the magnetic transformation rate of a steel sheet in an annealing furnace and an apparatus for measuring the same, and a continuous annealing process and a continuous galvanizing process which utilize the method and the apparatus. One such method includes delivering an alternating-current driving signal to the surface of the steel sheet by using an air-core driving coil having a size larger than, a width of the steel sheet, measuring the driving signal reflected by the steel sheet by using air-core receiving coils having a size larger than the width of the steel sheet, and determining the magnetic transformation rate of the steel sheet by using a measurement processing unit based on a distance between the steel sheet and the driving coil which has been corrected by using the measured values of the driving signal obtained by using the receiving coils.

A method is described for continuously evaluating mechanical and micro structural properties of a rolled metallic material (L) in a cold deformation process, subjected to combinations of deformation forces selected among compression forces, traction forces and bending moment applied at low deformation speed in a range comprised between 1*10.sup.−4 and 10*10.sup.−4 s.sup.−1 which corresponds to laboratory static conditions and at high deformation speed in a range comprised between 0.1 and 10 s.sup.−1 which corresponds to dynamic pp conditions, the method comprising the step of: —measuring characteristic parameters of the cold deformation process under dynamic conditions, comprising at least one value of temperature (T), deformation (ε) and deformation speed ({acute over (ε)}) of the rolled sheet (L); characterized in that it further comprises the steps of: —calculating the traction yield strength at high deformation speed (σ.sub.YD) according to equation (I), being: σ.sub.c a compression strength of the rolled sheet (L) when a compression force (Fc) is applied thereon; σ.sub.t a traction strength of the rolled sheet (L) when traction forces (Tin, Tout) are applied thereon; σ.sub.bend a strength due to the bending of the rolled sheet (L) when a bending moment is applied thereon; and m, n, p are a first, a second and a third parameter respectively being a function of continuously-measured operating conditions of the cold deformation process and being a function of the rolled sheet (L) in terms of chemical composition and of preceding operating conditions of a hot deformation process, in terms of hot-rolling start and end temperature, winding temperature and grain size; calculating the traction yield strength at low deformation speed (σ.sub.YS) according to equation (II), being: σ.sub.YD the traction yield strength at high deformation speed; f a statistical optimization factor between data measured at low deformation speed and at high deformation speed; α a first characteristic parameter of the rolled sheet (L) being a function of a chemical composition of the rolled sheet (L) and of operating conditions of a hot deformation process of the rolled sheet (L); and β a second characteristic parameter of the rolled sheet (L) being a function of the cold deformation process calculated as (III), being {acute over (ε)} the deformation speed, Q an activation energy of the deformation of the rolled sheet (L) evaluated through laboratory tests, R the Boltzmann constant of ideal gases, and T the temperature of the rolled sheet (L).

A method is described for continuously evaluating mechanical and micro structural properties of a rolled metallic material (L) in a cold deformation process, subjected to combinations of deformation forces selected among compression forces, traction forces and bending moment applied at low deformation speed in a range comprised between 1*10.sup.−4 and 10*10.sup.−4 s.sup.−1 which corresponds to laboratory static conditions and at high deformation speed in a range comprised between 0.1 and 10 s.sup.−1 which corresponds to dynamic pp conditions, the method comprising the step of: —measuring characteristic parameters of the cold deformation process under dynamic conditions, comprising at least one value of temperature (T), deformation (ε) and deformation speed ({acute over (ε)}) of the rolled sheet (L); characterized in that it further comprises the steps of: —calculating the traction yield strength at high deformation speed (σ.sub.YD) according to equation (I), being: σ.sub.c a compression strength of the rolled sheet (L) when a compression force (Fc) is applied thereon; σ.sub.t a traction strength of the rolled sheet (L) when traction forces (Tin, Tout) are applied thereon; σ.sub.bend a strength due to the bending of the rolled sheet (L) when a bending moment is applied thereon; and m, n, p are a first, a second and a third parameter respectively being a function of continuously-measured operating conditions of the cold deformation process and being a function of the rolled sheet (L) in terms of chemical composition and of preceding operating conditions of a hot deformation process, in terms of hot-rolling start and end temperature, winding temperature and grain size; calculating the traction yield strength at low deformation speed (σ.sub.YS) according to equation (II), being: σ.sub.YD the traction yield strength at high deformation speed; f a statistical optimization factor between data measured at low deformation speed and at high deformation speed; α a first characteristic parameter of the rolled sheet (L) being a function of a chemical composition of the rolled sheet (L) and of operating conditions of a hot deformation process of the rolled sheet (L); and β a second characteristic parameter of the rolled sheet (L) being a function of the cold deformation process calculated as (III), being {acute over (ε)} the deformation speed, Q an activation energy of the deformation of the rolled sheet (L) evaluated through laboratory tests, R the Boltzmann constant of ideal gases, and T the temperature of the rolled sheet (L).

The invention belongs to the technical field of quantitative statistical distribution analysis for micro-structures of metal materials, and relates to a method for automatic quantitative statistical distribution characterization of dendrite structures in a full view field of metal materials. According to the method based on deep learning in the present invention, dendrite structure feature maps are marked and trained to obtain a corresponding object detection model, so as to carry out automatic identification and marking of dendrite structure centers in a full view field; and in combination with an image processing method, feature parameters in the full view field such as morphology, position, number and spacing of all dendrite structures within a large range are obtained quickly, thereby achieving quantitative statistical distribution characterization of dendrite structures in the metal material. The method is accurate, automatic and efficient, involves a large amount of quantitative statistical distribution information, and is statistically more representative as compared with the traditional measurement of feature sizes of dendrite structures in a single view field.

The invention belongs to the technical field of quantitative statistical distribution analysis for micro-structures of metal materials, and relates to a method for automatic quantitative statistical distribution characterization of dendrite structures in a full view field of metal materials. According to the method based on deep learning in the present invention, dendrite structure feature maps are marked and trained to obtain a corresponding object detection model, so as to carry out automatic identification and marking of dendrite structure centers in a full view field; and in combination with an image processing method, feature parameters in the full view field such as morphology, position, number and spacing of all dendrite structures within a large range are obtained quickly, thereby achieving quantitative statistical distribution characterization of dendrite structures in the metal material. The method is accurate, automatic and efficient, involves a large amount of quantitative statistical distribution information, and is statistically more representative as compared with the traditional measurement of feature sizes of dendrite structures in a single view field.

The application concerns a method of authenticating an object, the object comprising an identification substance including at least one amorphous phase, at least one crystalline phase and at least one complex metallic phase. The method includes the steps of: subjecting the identification substance of a candidate object to XRD analysis to determine an XRD signature thereof; comparing the XRD signature of the candidate object to a reference XRD signature, and concluding to the authenticity of the object when its XRD signature substantially matches the reference XRD signature.