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Optimized robotic setup for automated active thermography using advanced path planning and visibility study.

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    Summary
    This summary is machine-generated.

    This study introduces an automated method for in-line inspection using active thermography. It optimizes experimental parameters via numerical simulations for efficient defect detection in advanced components.

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    Area of Science:

    • Industrial inspection
    • Non-destructive testing
    • Materials science

    Background:

    • In-line inspection of advanced components is difficult.
    • Active thermography is a promising non-destructive testing method.
    • Optimizing inspection parameters is crucial for accuracy and efficiency.

    Purpose of the Study:

    • To develop an automated methodology for in-line inspection using active thermography.
    • To optimize experimental parameters for defect detection in complex structures.
    • To enhance the efficiency and accuracy of industrial component inspection.

    Main Methods:

    • Utilized numerical simulations to determine optimal experimental parameters.
    • Employed a robotic arm and path-planning for optimal measurement and excitation points.
    • Incorporated directional emissivity and minimized measurement points during path planning.
    • Optimized parameters using a genetic algorithm and spline regression model.

    Main Results:

    • Successfully developed an automated methodology for active thermography inspection.
    • Optimized parameters include heat power, robot speed, camera frame rate, and excitation timing.
    • Demonstrated the feasibility of in-line inspection with enhanced efficiency and accuracy.
    • Consideration of directional emissivity improved inspection of complex surfaces.

    Conclusions:

    • The proposed automated methodology effectively optimizes active thermography for in-line inspection.
    • Numerical simulations and advanced path planning are key to efficient defect detection.
    • This approach offers a significant advancement for industrial quality control of advanced components.