A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.

Presented are intelligent non-autogenous metalworking systems and control logic for automated wire-to-beam alignment, methods for making/using such systems, and robot-borne laser welding/brazing heads with closed-loop control for real-time wire alignment. A method for controlling operation of a non-autogenous workpiece processing system includes a system controller receiving sensor signals from a position sensor indicative of a location of filler wire discharged into a joint region by a wire feeder. Using the received sensor signals, the controller determines a displacement between the wire location and a location of a beam emitted onto the joint region by a beam emitter. If the wire displacement is greater than a threshold wire displacement value, the controller responsively determines a corrective force calculated to reduce wire displacement to below the threshold wire displacement value. The controller then commands the actuator to pivot the processing head to thereby apply the corrective force to the discharging filler wire.

Embodiments of systems and methods to relate welding wire to a welding power source are disclosed. One embodiment is a networked system having a server computer. The server computer is configured to receive first data including at least one of an identity or a location of a consumable source of welding wire, and at least one of a weight status, indicating a change in weight, or an energization status, indicating an energization state, of the consumable source of welding wire. The server computer is configured to receive second data including at least one of an identity or a location of a welding power source, and an activation status indicating an activation state of the welding power source. The server computer is configured to match the welding power source to the consumable source of welding wire based on at least the first data and the second data.

A clamp system and method for measurement and control of welding a first substrate to a second substrate is provided. The system comprises a squeeze clamp having to a first end and a second end. The system further comprises a motor connected to the squeeze clamp such that the first and second ends are movable to clamp the first substrate to the second substrate. The system further comprises at least one of an electromagnetic flux sensor, a current sensor, a position sensor, and a gap sensor disposed on one of the first and second ends for determining a first measured variable between the first and second substrates. The system further comprises a controller to control the motor to clamp the first substrate to the second substrate based on the first measured variable. The controller is in communication with the electromagnetic flux sensor, the current sensor, and the gap sensor.

A clamp system and method for measurement and control of welding a first substrate to a second substrate is provided. The system comprises a squeeze clamp having to a first end and a second end. The system further comprises a motor connected to the squeeze clamp such that the first and second ends are movable to clamp the first substrate to the second substrate. The system further comprises at least one of an electromagnetic flux sensor, a current sensor, a position sensor, and a gap sensor disposed on one of the first and second ends for determining a first measured variable between the first and second substrates. The system further comprises a controller to control the motor to clamp the first substrate to the second substrate based on the first measured variable. The controller is in communication with the electromagnetic flux sensor, the current sensor, and the gap sensor.

Presented are intelligent non-autogenous metalworking systems and control logic for automated wire-to-beam alignment, methods for making/using such systems, and robot-borne laser welding/brazing heads with closed-loop control for real-time wire alignment. A method for controlling operation of a non-autogenous workpiece processing system includes a system controller receiving sensor signals from a position sensor indicative of a location of filler wire discharged into a joint region by a wire feeder. Using the received sensor signals, the controller determines a displacement between the wire location and a location of a beam emitted onto the joint region by a beam emitter. If the wire displacement is greater than a threshold wire displacement value, the controller responsively determines a corrective force calculated to reduce wire displacement to below the threshold wire displacement value. The controller then commands the actuator to pivot the processing head to thereby apply the corrective force to the discharging filler wire.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.

The present disclosure provides an attachment system of a weather strip, including: a supply unit configured to unwind the weather strip that winds with a predetermined length and to supply the weather strip, an attaching unit configured to attach the weather strip to a surface of a component by the adhesive layer and to cut the weather strip at a predetermined position, a tag provided in the supply unit that is configured to store position information of the defective portion of the weather strip detected during the weather strip extruding process, a reader antenna provided during the weather strip assembling process that is configured to receive the position information of the defective portion, and a controller configured to control a cutting position of the weather strip discharging side of the attaching unit based on the position information of the defective portion.

A method for quality control monitoring of additive manufacturing processes comprising forming at least one channel in an additive manufacturing build platform, wherein the channel is formed in the upper surface of the build platform to a predetermined depth, and wherein the channel is formed in a predetermined pattern across the upper surface of the build platform; placing a sensor in the channel formed in the upper surface of the build platform, wherein the sensor gathers information relevant to an additive manufacturing process occurring on or in close proximity to the build platform; enclosing the sensor within the channel formed in the upper surface of the build platform with an additive manufacturing substrate, wherein components or parts are built directly on the substrate using an additive manufacturing process, and using the sensor to gather information about the components or parts and the additive manufacturing process itself.

The present disclosure provides an attachment system of a weather strip, including: a supply unit configured to unwind the weather strip that winds with a predetermined length and to supply the weather strip, an attaching unit configured to attach the weather strip to a surface of a component by the adhesive layer and to cut the weather strip at a predetermined position, a tag provided in the supply unit that is configured to store position information of the defective portion of the weather strip detected during the weather strip extruding process, a reader antenna provided during the weather strip assembling process that is configured to receive the position information of the defective portion, and a controller configured to control a cutting position of the weather strip discharging side of the attaching unit based on the position information of the defective portion.