Method for predicting surface quality of burnishing workpiece

    公开(公告)号:US11879869B2

    公开(公告)日:2024-01-23

    申请号:US18352263

    申请日:2023-07-14

    CPC classification number: G01N29/12 G06N20/10

    Abstract: Disclosed is a method for predicting surface quality of a burnishing workpiece. The method includes the steps: using vibration sensors and signal acquisition instrument to acquire vibration signals generated on a surface of the burnishing workpiece during machining, evaluating the surface quality of the burnishing workpiece based on a coupling coordination degree model, processing signals by using an ensemble empirical mode decomposition method, identifying power spectral density, kurtosis and form factor as signal characteristics, identifying a support vector machine as a decision-making model, optimizing penalty parameters and kernel function parameters by using the Bayesian optimization method, and establishing the relationship between the signal characteristics and the surface quality. The method can quickly identify the signal characteristics for evaluating the workpiece surface quality, thereby improving the workpiece surface quality by intervening in process parameters, making up for the technical defect that condition monitoring cannot be performed during the machining process.

    Method for detecting tension force defect of steel cable

    公开(公告)号:US11852610B2

    公开(公告)日:2023-12-26

    申请号:US18025403

    申请日:2021-03-19

    CPC classification number: G01N29/12 G01N29/048 G01N2291/0234

    Abstract: A method for detecting a tension force defect of a steel cable includes the following steps: step S10: providing an excitation sensor on a first position of a steel cable to be detected and providing a detection sensor on a second position of the steel cable; step S20: obtaining a value of a tension force on the steel cable and obtaining a first display diagram corresponding to the value of the tension force; step S30: loading a white noise signal on the excitation sensor through a power amplifier; step S40: acquiring a detection signal collected by the detection sensor; step S50: uploading the detection signal to a personal computer (PC) and performing a Fast Fourier Transform (FFT) process on the detection signal; step S60: determining whether there is a defect in the steel cable, and if so, performing step S70; step S70: determining a defect position of the steel cable.

    Apparatus and method for inspecting a fusion joint

    公开(公告)号:US11815490B2

    公开(公告)日:2023-11-14

    申请号:US17821069

    申请日:2022-08-19

    CPC classification number: G01N29/12 G01N29/4427 G01N2291/267

    Abstract: A method and apparatus for inspecting a fusion joint is provided. The apparatus includes a processor, an ultrasound (“US”) probe in communication with the processor, and a database comprising classification rules. The processor is configured to generate an initial set of US scanning positions about the fusion joint based on information of at least one of the US probe and the fusion joint; measure, via the US probe, a US pulse-echo spectrum from at least two of the initial US scanning positions; compare each measured US pulse-echo spectrum with one or more known US pulse-echo spectrums; classify each measured US pulse-echo spectrum according to the classification rules; and evaluate an aggregate of measured US pulse-echo spectrums to determine if the fusion joint is defective.

    INSPECTION APPARATUS AND INSPECTION METHOD
    17.
    发明公开

    公开(公告)号:US20230258606A1

    公开(公告)日:2023-08-17

    申请号:US17822253

    申请日:2022-08-25

    Abstract: According to one embodiment, an inspection apparatus includes a vibration sensor, a microphone, and a processor. The vibration sensor detects a vibration of an inspection target object to which the vibration is excited. The microphone arranged near the inspection target object and collects a radiated sound from the inspection target object. The processor calculates an impulse response between the vibration sensor and the microphone. The processor denoises an unnecessary component from the impulse response. The processor converts the impulse response into a frequency characteristic. The processor calculates acoustic energy between the vibration sensor and the microphone based on the frequency characteristic. The processor determine the presence/absence of an abnormal state of the inspection target object.

    METHODS AND SYSTEMS FOR INSPECTING FASTENED STRUCTURES

    公开(公告)号:US20230213484A1

    公开(公告)日:2023-07-06

    申请号:US17568847

    申请日:2022-01-05

    CPC classification number: G01N29/12 G01N29/4427 G01N29/48 G01N2291/014

    Abstract: A method for inspecting a fastened structure, the fastened structure having at least one structural member defining a bore therein and a mechanical fastener received in the bore, includes applying acoustic energy to the fastened structure, the acoustic energy being applied over a plurality of frequencies, measuring a response of the fastened structure across at least two frequencies of the plurality of frequencies, and comparing the response of the fastened structure at the at least two frequencies of the plurality of frequencies to predefined values for the at least two frequencies of the plurality of frequencies to determine whether an out-of-tolerance condition is present.

    CALIBRATION METHOD FOR ACOUSTIC SENSOR
    20.
    发明公开

    公开(公告)号:US20230194477A1

    公开(公告)日:2023-06-22

    申请号:US18080510

    申请日:2022-12-13

    CPC classification number: G01N29/12 G01H1/06 G01N29/30 B24B37/34 B24B49/003

    Abstract: A method in which an acoustic sensor disposed in a polishing apparatus can be accurately calibrated is disclosed. In this method, polishing sounds of a substrate are acquired using an acoustic sensor; and then at least two distinctive sounds, having distinctive frequencies respectively, are selected from the acquired polishing sounds. Further, the at least two distinctive sounds are output from a sound source coupled to any of a polishing table, the acoustic sensor, and a substrate holder to cause the at least two distinctive sounds to be input to the acoustic sensor. Next, output values of the acoustic sensor are calibrated, such that the output values of the acoustic sensor relative to the at least two distinctive sounds come within an allowable range.

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