Precision manufacturing technology and measurements in steel rolling industry using multi threshold fast fourier transform and back propagation algorithm for analysis of X-ray diffractometry
•To diagnose the flaws and ensure correct shape for the steel sheets during fabrication process, at furnace level.•Human intervention can be avoided.•Muti-threshold FFT algorithm long with ANN using BPA facilitates the analysis of XRD signals.•Steel sheets are categorized as flawless and having mode...
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| Published in: | Materials today : proceedings Vol. 38; pp. 2624 - 2628 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.01.2021
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| Subjects: | |
| ISSN: | 2214-7853, 2214-7853 |
| Online Access: | Get full text |
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| Summary: | •To diagnose the flaws and ensure correct shape for the steel sheets during fabrication process, at furnace level.•Human intervention can be avoided.•Muti-threshold FFT algorithm long with ANN using BPA facilitates the analysis of XRD signals.•Steel sheets are categorized as flawless and having moderate and extreme flaw conditions.•To automate and computerize the entire monitoring process with high precision increases the marketability and profit.
X-ray diffractometry is a unique technique and that the X-ray diffraction patterns which depict the structure of the steel sheets during processing with the features extracted, that they serve directly as a signature which is very complicated. X-ray diffraction (XRD) techniques are a type of non-destructive method of investigation to identify the flaws during the fabrication of steel sheets. X-ray diffraction is comparatively simple and can be effectively used for the examination and identification of flaws during the rolling process of steel sheets. XRD technique finds application in various fields like textile industry, forensic, qualitative and quantitative phase analysis of poly crystalline material, to infer overall properties of the fiber and measure the degree of crystalline nature. It is extensively used to explore areas like material science, chemistry and in industry for research and quality control. This effective method gains novelty by combining the signal processing algorithms like multiple threshold based Fast Fourier Transform (FFT) and Artificial neural network (ANN) trained with Back Propagation Algorithm (BPA) thereby offering an automated system for online monitoring during fabrication of flawless metal sheets. The hot rolled steel sheets for three categories namely, flawless, moderate flaw and extreme flaw conditions are obtained from the XRD pattern. Then multiple thresholds are incorporated to identify the peak position, peak width and peak intensity. The FFT algorithm computes the power spectrum which is used as features to identify the flaws in the steel sheets during cold rolling process. The extracted features are used as inputs to train the ANN with BPA whose performance is evaluated to be 90% efficient. |
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| ISSN: | 2214-7853 2214-7853 |
| DOI: | 10.1016/j.matpr.2020.08.205 |