There are provided a system and a method of use thereof for executing a manufacturing process. For example, a method can include executing, by a system configured to drive the manufacturing process, a set of manufacturing functions based on a digital model of a first part. The method can include fetching, by the system, from an in-field scoring system, performance data relating to a second part. The method can further include constructing the digital model based on the performance data relating to the second part. The method can further include generating, based on the digital model, a forecast representative of a performance of the first part and generating the set of manufacturing functions based on the digital model and the forecast. The method further includes manufacturing the first part according to the set of manufacturing functions.

A blast furnace control system may include a hardware processor that generates a deep learning based predictive model for forecasting hot metal temperature, where the actual measured HMT data is only available sparsely, and for example, measured at irregular interval of time. HMT data points may be imputed by interpolating the HMT measurement data. HMT gradients are computed and a model is generated to learn a relationship between state variables and the HTM gradients. HMT may be forecasted for a time point, in which no measured HMT data is available. The forecasted HMT may be transmitted to a controller coupled to a blast furnace, to trigger a control action to control a manufacturing process occurring in the blast furnace.

A method of performing visualized measurement on thickness distribution of a paint film and an apparatus therefor. A measurement target region is heated by a heating unit that applies a light beam while moving relative to the measurement target region of a measurement target structure. A sensing unit moving together with the heating unit generates a plurality of thermal images related to a phenomenon in which thermal energy is propagated in the measurement target region by scanning and photographing the heated measurement target region. The thermal images in a dynamic state are converted into time-spatial-integrated thermal images in a static state by performing coordinate transformation according to a time-spatial-integrated coordinate transformation algorithm. A thickness of the paint film is calculated by using a Fourier thermal conduction equation. A noise caused by an external heat source is removed by subtracting a pre-heating time-spatial-integrated thermal image from the converted time-spatial-integrated thermal image.

This internal oxide layer thickness estimation device estimates a thickness of an internal oxide layer formed in a hot-rolled steel sheet. The internal oxide layer thickness estimation device includes: a first temperature definition unit that defines a temperature of a portion to be estimated, in which the thickness of the internal oxide layer is to be estimated, in the hot-rolled steel sheet; a second temperature definition unit that defines an internal oxidation starting temperature at which internal oxidation of the hot-rolled steel sheet starts; a cumulative temperature calculation unit that calculates a cumulative temperature on the basis of the temperatures defined by the first temperature definition unit and the second temperature definition unit and a predetermined period of time from an estimation start time at which estimation of the thickness of the internal oxide layer is started to an estimation evaluation time; a first correlation expression derivation unit that derives a first correlation expression indicating a correlation between the cumulative temperature calculated by the cumulative temperature calculation unit and an estimated value of the thickness of the internal oxide layer; and an internal oxide layer thickness estimation unit that estimates the thickness of the internal oxide layer on the basis of the first correlation expression.

A method for calculating a thickness of an oxide film of a martensite heat-resistant steel under supercritical high-temperature steam is disclosed, which includes following steps: the martensite heat-resistant steel is a 9% Cr martensite heat-resistant steel; and a formula for calculating the thickness of the oxide film is

[00001]$X=A.Math..Math.\exp \left(\frac{-Q}{R.Math.T}\right).Math.t^n,$

which X is the thickness of the oxide film (μm), A is a constant coefficient, Q is an activation energy (J.Math.mol.sup.−1), R is a gas constant, T is temperature (° C.), and t is time (h).

A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.

A system and a method for sensing an object using two-stage photo-acoustic excitation are provided herein. The method may include: scanning the object at a first resolution by alternately and repeatedly photo-acoustically exciting and sensing each of multiple first regions on the object to yield multiple first outputs; determining, based on the multiple first outputs, at least one first region of the multiple first regions that includes at least one zone and a specific depth of the at least one zone below a surface of the object; scanning the first region that includes the at least one zone at a second resolution by alternately and repeatedly photo-acoustically exciting and sensing each of multiple second regions in the at least one first region thereof to yield multiple second outputs; and determining, based on at least one of the multiple second outputs, specified parameters of the at least one zone.

A scale thickness estimating system according an embodiment includes: a fluid temperature acquiring unit that acquires a temperature of a fluid flowing in a pipe; a flow path outer surface-temperature acquiring unit that acquires a temperature of an outer surface of the pipe; a heat flux acquiring unit that acquires a heat flux on the outer surface of the pipe; a flow path wall-thermal conductivity acquiring unit that acquires a flow path wall thermal conductivity of the pipe; a scale thermal conductivity acquiring unit that acquires a scale thermal conductivity of scale depositing on an inner surface of the pipe; and a scale thickness estimating unit that estimates a thickness of the scale based on the temperature of the fluid, the temperature of the outer surface, the heat flux, the flow path wall thermal conductivity, and the scale thermal conductivity.

The invention relates to a method for measuring the wall thickness of hollow glass articles (2) in a hollow glass production system, wherein the IR radiation emitted by each hollow glass article (2) exiting the hot end of a glass forming machine is detected at least in areas mapped by a function (10), the same hollow glass article (2), after having passed through an annealing lehr, being measured in the circumferential direction with respect to a wall thickness distribution, and the detected wall thickness distribution being mapped by a function (18). Using correlation methods, it is checked whether the progression of the function (10) is contained in the function (18), wherein if so, measured values of the wall thickness can be associated with the measured values of the IR radiation at the hot end, so that the wall thickness distribution of the hollow glass article is already known at the hot end and implementable for monitoring purposes.

A crack measuring apparatus includes distance-measuring units, an image pickup unit having pixels the positions of which are identified on an imaging device, an infrared image pickup unit having pixels the positions of which are identified on an imaging device and having sensitivity to infrared rays, driving units, angle-measuring units, and an arithmetic control unit, the arithmetic control unit searches for a cracked portion from a temperature difference in an infrared image by turning the infrared image pickup unit, captures an image of the cracked portion by the image pickup unit and identifies a position of the cracked portion from a density difference in the captured image, measures the position of the cracked portion by the distance-measuring units and the angle-measuring units, and acquires three-dimensional absolute coordinates of the cracked portion.