基于温度扫描和成分调制技术的CSTR瞬态动力学研究的采样频率和数字噪声滤波

A. Kaewchada, Kwanhatai Jiradechkhajorn, A. Jaree
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引用次数: 0

摘要

温度扫描和成分调制技术(TS-CM)是一种估算CSTR反应器瞬态条件下反应参数的技术。与传统的稳态方法相比,在瞬态条件下进行的反应动力学研究可以节省时间和资源。这是因为提取反应动力学所需的数据集可以在一次实验中获得。本研究的重点是改进TS-CM技术作为反应动力学研究的有效工具。以乙酸乙酯的碱性水解为模型反应。在NaOH浓度输出信号中加入不同程度的噪声强度,研究噪声(0.5、1.0、3.0和5.0%)和采样周期(1、30和60秒)对反应动力学精度的影响。结果表明,与无噪声时相比,采样周期为1秒时的动力学参数误差较小。第二部分是噪声滤波。为了使NaOH浓度数据平滑,TS-CM技术应用了三个数字滤波器:a)一阶滤波器或一阶滤波器,b)二阶滤波器或二阶滤波器和c) Savitzky-Golay滤波器。结果表明,Savitzky-Golay滤波效果最好,滤波窗口大小为81个点,多项式次数为2次。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sampling Frequency and Digital Noise Filtering for Transient Kinetic Study in CSTR via Temperature Scanning and Composition Modulation Technique
Temperature Scanning and Composition Modulation technique (TS-CM) is a technique for estimating reaction parameters under transient conditions in a CSTR reactor. Studies of reaction kinetics performed under transient conditions can lead to savings of time and resources as compared to the conventional steady-state method. This is because a collection of data necessary for extracting the reaction kinetics can be obtained within a single experiment. This research focused on the refinement of TS-CM technique as an efficient tool for reaction kinetics studies. The alkaline hydrolysis of ethyl acetate was used as a model reaction. Different degrees of noise intensity were added to the output signal of NaOH concentration in order to study the effect of noise (0.5, 1.0, 3.0 and 5.0%) and sampling period (1, 30 and 60 seconds) on the accuracy of reaction kinetics. Results revealed that the sampling period of 1 second yielded only slight errors of kinetic parameters compared to that of without noise . The second part dealt with noise filtering. In order to smooth the NaOH concentration data, TS-CM technique was applied with three digital filters: a) the first-order filter or first-order filter, b) the second-order filter or second-order filter and c) the Savitzky-Golay filter. Results showed that the best filter was the Savitzky-Golay, which filtered with 81 points of window size and 2 nd order of polynomial degree.
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