研究目的
To analyze the diffraction time and the influence of strip moving speeds on texture measurement accuracy using an X-ray area detector, aiming to determine optimal parameters for online texture detection in steel production.
研究成果
A diffraction time of 2 s is optimal for balancing speed and accuracy in texture detection. Strip moving speeds up to 0.65 m/s have negligible influence on diffraction accuracy, enabling real-time online measurement. The XRD2 system, combined with fast texture detection theory, can be implemented in steel production for monitoring texture and mechanical properties.
研究不足
The study is conducted in a laboratory setting with an imitation online system, which may not fully replicate industrial conditions. The analysis is limited to IF steel and specific speed ranges (up to 0.65 m/s), and potential effects of higher speeds or other materials are not explored. Surface finish of specimens is assumed sufficient, but variations could affect results.
1：Experimental Design and Method Selection:
The study uses a laboratory two-dimensional X-ray diffraction (XRD2) system to analyze diffraction frames. The methodology involves determining diffraction time and assessing the effect of strip moving speeds on accuracy through absolute and relative error analyses.
2：Sample Selection and Data Sources:
Cold-rolled deep-drawing interstitial-free (IF) steel specimens with a thickness of
3：90 mm, taken from an industrial production line after continuous annealing, are used. Chemical compositions are provided in Table List of Experimental Equipment and Materials:
Equipment includes a V?NTEC-500 2D X-ray area detector, X-ray source, safety device, data collection and analysis device, proprietary goniometer, moving sample stage, and lead curtain for X-ray protection. Materials are IF steel specimens.
4：Experimental Procedures and Operational Workflow:
For diffraction time determination, diffraction frames are collected at times of
5：5, 1, 2, 3, 4, 5, 10, and 20 s using the area detector. For strip moving speed influence, specimens are moved at speeds of 1, 25, 45, and 65 m/s on the moving stage, with diffraction frames recorded at a fixed time of 2 s. Data is processed using γ-integration to analyze intensity counts. Data Analysis Methods:
Absolute and relative errors are calculated to evaluate accuracy. Statistical measures such as mean deviation (MD), range, and standard deviation (SD) are used for analysis, as detailed in Tables 2-5.
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