Abstract:

Real-time, on-line measurement of moisture content of particles has become one of the most important issues in drying process controlling.In this work, acoustic emission (AE) technique was applied to determine the moisture content.A characteristic frequency band of AE signals, which represents the moisture content, was obtained by using wavelet transform and spectral analysis.The analysis results showed that, with the decrease of moisture content, the 1st and 3rd energy fractions decreased and increased respectively, and the characteristic peak moved to lower frequency.Furthermore, a moisture prediction model based on the characteristic frequency analysis was constructed, which could quantitatively establish the relationship between the energy features and moisture.The root mean square error (RMSE) of the prediction model was 0.0422, indicating that the model predicted the moisture with high precision.The AE method is a non-intrusive and rapid technique that makes online measurement possible, which has a positive impact on process optimization and product upgrading.

Key words: FONT-SIZE: 10.5pt, mso-ascii-font-family: Times New Roman, mso-bidi-font-family: Times New Roman, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-hansi-font-family: Times New Roman">声发射技术；流化床干燥器；湿含量；预测模型

关键词: FONT-SIZE: 10.5pt, mso-ascii-font-family: Times New Roman, mso-bidi-font-family: Times New Roman, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-hansi-font-family: Times New Roman">声发射技术；流化床干燥器；湿含量；预测模型