It is configured such that, for performing variable engravement for each formed object on a coil material to be fed to a press machine for molding a part of a can, a formed object with an engravement can be molded at a high productivity. A laser engraving device is a device for performing laser engraving on a coil material to be fed to a press machine for molding a part of a can, and includes a feeding mechanism for deeding a coil material at a predetermined speed, a laser head for irradiating the coil material fed at the predetermined speed with a laser beam, and performing engravement for each formed object, and a data communication unit for switching engraving data of the laser head. The data communication unit collectively switches a plurality of engraving data to be subjected to engravement on a plurality of formed objects, and the laser head continuously performs engravement of the plurality of engraving data on predetermined positions of the coil material.

A punching abnormality detection system, comprising: a punch, generating a vibration signal when working; an ultrasonic sensor, fixed on the punch and configured to convert the vibration signal into a voltage response signal; a data acquisition device, electrically connected to the ultrasonic sensor, configured to collect the voltage response signal in real time, generate a monitoring envelope curve, and analyze whether the voltage response curve deviates from the monitoring envelope curve; when the voltage response curve exceeds the monitoring envelope curve, the data acquisition device determine that the punch works abnormally, and an abnormal signal is output, thereby predicting production interruption caused by equipment abnormality during the production process and improving production quality.

A punching abnormality detection system, comprising: a punch, generating a vibration signal when working; an ultrasonic sensor, fixed on the punch and configured to convert the vibration signal into a voltage response signal; a data acquisition device, electrically connected to the ultrasonic sensor, configured to collect the voltage response signal in real time, generate a monitoring envelope curve, and analyze whether the voltage response curve deviates from the monitoring envelope curve; when the voltage response curve exceeds the monitoring envelope curve, the data acquisition device determine that the punch works abnormally, and an abnormal signal is output, thereby predicting production interruption caused by equipment abnormality during the production process and improving production quality.

Provided are: a mechanical property measuring apparatus and method that can accurately measure a mechanical property through physical quantities; a substance manufacturing equipment and method that can improve the production yield rate. A mechanical property measuring apparatus (100) comprises: a physical quantity measuring unit (5) configured to measure a plurality of physical quantities of a measured object that includes a substance and a film on a surface of the substance; a classification processing unit (81) configured to select one of a plurality of calculation models (M.sub.1, M.sub.2, . . . , M.sub.n) for calculating a mechanical property of the substance, based on at least two of the plurality of physical quantities measured; and a mechanical property calculating unit (82) configured to calculate the mechanical property of the substance using the calculation model selected by the classification processing unit (81) and the at least two of the plurality of physical quantities.

Provided are: a mechanical property measuring apparatus and method that can accurately measure a mechanical property through physical quantities; a substance manufacturing equipment and method that can improve the production yield rate. A mechanical property measuring apparatus (100) comprises: a physical quantity measuring unit (5) configured to measure a plurality of physical quantities of a measured object that includes a substance and a film on a surface of the substance; a classification processing unit (81) configured to select one of a plurality of calculation models (M.sub.1, M.sub.2, . . . , M.sub.n) for calculating a mechanical property of the substance, based on at least two of the plurality of physical quantities measured; and a mechanical property calculating unit (82) configured to calculate the mechanical property of the substance using the calculation model selected by the classification processing unit (81) and the at least two of the plurality of physical quantities.

A rolling load prediction method predicts a rolling load of a rolling mill for rolling steel and includes predicting the rolling load of the rolling mill in a case where the steel is rolled under an operating condition for prediction, by inputting the operating condition for prediction into a rolling load prediction model that has been trained with operation record data including at least a factor related to a temperature of the steel as an input variable and an actual value of the rolling load of the rolling mill as an output variable.

A rolling load prediction method predicts a rolling load of a rolling mill for rolling steel and includes predicting the rolling load of the rolling mill in a case where the steel is rolled under an operating condition for prediction, by inputting the operating condition for prediction into a rolling load prediction model that has been trained with operation record data including at least a factor related to a temperature of the steel as an input variable and an actual value of the rolling load of the rolling mill as an output variable.

A method of inspecting stamped blanks on a stamping line includes identifying at least one target defect location for a given stamped blank configuration where a unique defect type is associated with each of the at least one target defect locations. One or more images of each of the least one identified target defect locations on blanks stamped per the given stamped blank configuration are acquired with one or more cameras assigned to each of the identified target defect locations. The method includes analyzing the one or more images of each of the least one identified target defect locations and detecting if the unique defect type associated with each of the at least one target defect locations is present. Also, each unique defect type is identified with a corresponding unique defect identification algorithm.

A method of inspecting stamped blanks on a stamping line includes identifying at least one target defect location for a given stamped blank configuration where a unique defect type is associated with each of the at least one target defect locations. One or more images of each of the least one identified target defect locations on blanks stamped per the given stamped blank configuration are acquired with one or more cameras assigned to each of the identified target defect locations. The method includes analyzing the one or more images of each of the least one identified target defect locations and detecting if the unique defect type associated with each of the at least one target defect locations is present. Also, each unique defect type is identified with a corresponding unique defect identification algorithm.

To manufacture a high-quality welded pipe, there is provided a welded pipe manufacturing apparatus for manufacturing a welded pipe by bending a metal plate and welding butting end portions of the metal plate. The welded pipe manufacturing apparatus includes a bending unit that bends the metal plate, a light emitter that emits directional light to an inner surface of the metal plate bent by the bending unit, an image capturing unit that captures light emitted by the light emitter and reflected by a surface of the metal plate, and an adjustment assistance unit that assists adjustment of the bending unit in accordance with a shape of the reflected light.