Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount. On a manufacturer side, operational status information of the machine tool on the target user side is obtained, an operational status identical to the obtained operational status on the target user side is reproduced with a machine tool of a same type as the machine tool on the target user side based on the obtained operational status information, a temperature at a measurement point identical to the measurement point on the machine tool on the target user side and a thermal displacement amount between workpiece and tool are measured during reproduction, and the parameter is calculated by machine learning based on the measured temperature and thermal displacement amount. The parameter in the machine tool on the target user side is updated with the calculated parameter.

Information is collected from a management target device having a drive unit such as a machine tool, and this collected information is more practically used. An information collection device includes a collection unit that collects, from management target devices having a drive unit, operating state information which is information indicating an operating state of the management target device while operating accompanying movement of the drive unit; and a comparison unit that extracts a plurality of sets of information matching in a predetermined condition from the operating state information thus collected, and outputs a comparison result of the plurality of sets of information thus extracted.

This method includes a step of imaging, by an imaging apparatus in a substrate treatment system, a reference substrate which is a reference for condition setting and acquiring a captured image of the reference substrate; and a step of imaging, by the imaging apparatus, a treated substrate on which the predetermined treatment has been performed under a current treatment condition and acquiring a captured image of the treated substrate. A deviation amount in color information between the captured image of the treated substrate and the captured image of the reference substrate is calculated. A correction amount of the treatment condition is calculated based on a correlation model acquired in advance and on the deviation amount in the color information. Also included is a step of setting the treatment condition based on the correction amount and performing the treatment on a target substrate based on the set treatment condition.

A manufacturing system includes a printhead, at least one profilometer, and a control system. The printhead extrudes a material onto a substrate and forms a new bead during additive manufacturing of an in-work article. The profilometer moves with the printhead and measures an in-work cross-sectional profile of existing beads of the in-work article. The control system generates in-work profile data including the in-work cross-sectional profile at a plurality of in-work profile locations, and continuously compares the in-work profile data to reference profile data of a reference article. The reference profile data includes a reference cross-sectional profile at a plurality of reference profile locations. The control system adjusts, based on the profile comparison, one or more bead forming parameters and causes the printhead to form the new bead according to the bead forming parameters to reduce or prevent nonconformities associated with forming the new bead.

Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount. On a manufacturer side, operational status information of the machine tool on the target user side is obtained, an operational status identical to the obtained operational status on the target user side is reproduced with a machine tool of a same type as the machine tool on the target user side based on the obtained operational status information, a temperature at a measurement point identical to the measurement point on the machine tool on the target user side and a thermal displacement amount between workpiece and tool are measured during reproduction, and the parameter is calculated by machine learning based on the measured temperature and thermal displacement amount. The parameter in the machine tool on the target user side is updated with the calculated parameter.

Adaptable manufacturing systems, methods, and apparatuses are disclosed. An apparatus for manufacturing a product in accordance with the present disclosure may include a design apparatus, an assembly apparatus, and a control apparatus, coupled to the design apparatus and the assembly apparatus. The control apparatus receives input information from the design apparatus and the assembly apparatus. The control apparatus provides output information for altering at least one parameter used by at least one of the design apparatus and the assembly apparatus in the manufacture of the product.

This method includes: a step of imaging, by an imaging apparatus in a substrate treatment system, a reference substrate which is a reference for condition setting and acquiring a captured image of the reference substrate; a step of imaging, by the imaging apparatus, a treated substrate on which the predetermined treatment has been performed under a current treatment condition and acquiring a captured image of the treated substrate; a step of calculating a deviation amount in color information between the captured image of the treated substrate and the captured image of the reference substrate; a step of calculating a correction amount of the treatment condition based on a correlation model acquired in advance and on the deviation amount in the color information; and a step of setting the treatment condition based on the correction amount, wherein steps other than the step of acquiring a captured image of the reference substrate are performed for each of the treatment apparatuses.

A manufacturing system includes a printhead, at least one profilometer, and a control system. The printhead extrudes a material onto a substrate and forms a new bead during additive manufacturing of an in-work article. The profilometer moves with the printhead and measures an in-work cross-sectional profile of existing beads of the in-work article. The control system generates in-work profile data including the in-work cross-sectional profile at a plurality of in-work profile locations, and continuously compares the in-work profile data to reference profile data of a reference article. The reference profile data includes a reference cross-sectional profile at a plurality of reference profile locations. The control system adjusts, based on the profile comparison, one or more bead forming parameters and causes the printhead to form the new bead according to the bead forming parameters to reduce or prevent nonconformities associated with forming the new bead.

Information is collected from a management target device having a drive unit such as a machine tool, and this collected information is more practically used. An information collection device includes a collection unit that collects, from management target devices having a drive unit, operating state information which is information indicating an operating state of the management target device while operating accompanying movement of the drive unit; and a comparison unit that extracts a plurality of sets of information matching in a predetermined condition from the operating state information thus collected, and outputs a comparison result of the plurality of sets of information thus extracted.

Information is collected from a management target device having a drive unit such as a machine tool, and this collected information is more practically used. An information collection device includes a collection unit that collects, from management target devices having a drive unit, operating state information which is information indicating an operating state of the management target device while operating accompanying movement of the drive unit; and a comparison unit that extracts a plurality of sets of information matching in a predetermined condition from the operating state information thus collected, and outputs a comparison result of the plurality of sets of information thus extracted.