Patent classifications
G01N33/207
PROCESS FOR NON-DESTRUCTIVE QUALITY CONTROL INSPECTION OF SELF-PIERCING RIVET (SPR) JOINTS
A system and method for inspecting an assembly including components joined by self-piercing rivets by a computerized tomography (CT) scan of the joint is provided. The system includes a source of x-rays, a mounting unit for an assembly including the joint which is subject to the x-rays, and an x-ray detector disposed opposite the source for detecting the x-rays. The x-rays are provided at a high energy level of at least 200 kV to generate images having a resolution of at least 200 micrometers (μm). A computer stitches the images together to form reconstructive images which show details of the joint. The assembly to be inspected is not destroyed or modified prior to the inspection process. The resolution of the images generated by the x-rays is high enough to determine the presence of cracks, if any, the interlock (S.sub.H), minimum thickness (T.sub.min), and overall structure of the unmodified assembly.
INTRINSIC PROCESS SIGNAL-BASED ONLINE SPATTER DETECTION METHOD FOR RESISTANCE SPOT WELDING, AND SYSTEM
An intrinsic process signal-based online expulsion detection method for resistance spot welding process, which comprises: acquiring the intrinsic process signal and current signal output by sensors installed at two electrodes in real-time during the welding process and establishing a relationship graph; performing expulsion judgement based on the relationship graph to obtain expulsion frequency, single intrinsic process signal feature and an accumulated feature; calculating expulsion metal volume according to the accumulated feature and electrode profile features to obtain a prediction expulsion metal amount. The method performs online prediction of the expulsion metal amount according to the intrinsic process signal for resistance spot welding process, thereby achieving online quantitative estimation of the expulsion intensity, overcoming the defect of the traditional technology which relies on manual detection, and improving detection efficiency and accuracy.
INTRINSIC PROCESS SIGNAL-BASED ONLINE SPATTER DETECTION METHOD FOR RESISTANCE SPOT WELDING, AND SYSTEM
An intrinsic process signal-based online expulsion detection method for resistance spot welding process, which comprises: acquiring the intrinsic process signal and current signal output by sensors installed at two electrodes in real-time during the welding process and establishing a relationship graph; performing expulsion judgement based on the relationship graph to obtain expulsion frequency, single intrinsic process signal feature and an accumulated feature; calculating expulsion metal volume according to the accumulated feature and electrode profile features to obtain a prediction expulsion metal amount. The method performs online prediction of the expulsion metal amount according to the intrinsic process signal for resistance spot welding process, thereby achieving online quantitative estimation of the expulsion intensity, overcoming the defect of the traditional technology which relies on manual detection, and improving detection efficiency and accuracy.
METHOD FOR MONITORING AN ATTACHMENT AREA DURING THE LASER WELDING OF BENT BAR-TYPE CONDUCTORS CONTAINING COPPER
A method for monitoring an attachment area during laser welding of bent bar-type conductors containing copper, includes the steps of arranging a first bar-type conductor relative to a second bar-type conductor in partially overlapping fashion and welding the first and second bar-type conductors to one another using a processing laser beam, the welding including forming a weld bead interconnecting the bar-type conductors to one another. After the welding, at least one measurement variable is measured on at least one portion of the weld bead, wherein the at least one measurement variable changes with the temperature of the weld bead as a function of the time during a cooling down of the weld bead. A parameter depending on a heat capacity of the weld bead is determined from the at least one measured measurement variable, and the attachment area qualitatively or quantitatively determined from the parameter.
METHOD FOR INSPECTING WELDING QUALITY OF WELDED PORTION BETWEEN ELECTRODE TAB AND LEAD
The present invention relates to a method for inspecting a welding quality of an electrode tab-electrode lead welded portion of a pouch-type lithium secondary battery, and the method includes: recognizing welding traces of the welded portion by a vision inspection device; measuring a size of each of the recognized welding traces; and determining whether the welded portion has been weakly welded, excessively welded or normally welded by comparing the measured size with a reference value.
METHOD FOR INSPECTING WELDING QUALITY OF WELDED PORTION BETWEEN ELECTRODE TAB AND LEAD
The present invention relates to a method for inspecting a welding quality of an electrode tab-electrode lead welded portion of a pouch-type lithium secondary battery, and the method includes: recognizing welding traces of the welded portion by a vision inspection device; measuring a size of each of the recognized welding traces; and determining whether the welded portion has been weakly welded, excessively welded or normally welded by comparing the measured size with a reference value.
TUBE WELD X-RAY INSPECTION DEVICE
Provided is a tube weld X-ray inspection device for inspecting an abnormality, such as a tube welding part crack, of a heat exchanger by using X-rays.
WELD QUALITY INSPECTION METHOD, APPARATUS AND SYSTEM, AND ELECTRONIC DEVICE
A weld quality inspection method, apparatus and system and an electronic device are disclosed. The weld quality inspection method provided by the embodiments of the disclosure includes: acquiring point cloud data of a target weldment, and converting the point cloud data into a height map; determining a weld region for characterizing a target weld from the height map; analyzing the weld region to obtain a feature parameter of the target weld; and obtaining a quality inspection result of the target weld according to the feature parameter, where the target weldment includes a base material, a welding part and the target weld formed by welding the welding part to the base material.
WELD QUALITY INSPECTION METHOD, APPARATUS AND SYSTEM, AND ELECTRONIC DEVICE
A weld quality inspection method, apparatus and system and an electronic device are disclosed. The weld quality inspection method provided by the embodiments of the disclosure includes: acquiring point cloud data of a target weldment, and converting the point cloud data into a height map; determining a weld region for characterizing a target weld from the height map; analyzing the weld region to obtain a feature parameter of the target weld; and obtaining a quality inspection result of the target weld according to the feature parameter, where the target weldment includes a base material, a welding part and the target weld formed by welding the welding part to the base material.
DETECTION SYSTEM, CONTROL METHOD, AND DETECTION DEVICE
According to one embodiment, a detection system includes an arm mechanism and an end effector. The arm mechanism is articulated. The end effector is located at a distal part of the arm mechanism. The end effector includes a rotating stage and a detector. The detector is located at the distal part with the rotating stage interposed. The detector transmits an ultrasonic wave and detects a reflected wave. A tip of the detector is positioned at a rotation center of the rotating stage.