Diagnosis of the Cane Sugar Crystallization Process by Multifractal Analysis of Temperature Time Series

被引：1

作者：

Moguel-Castaneda, Jazael G. ^{[1
]}

Romero-Bustamante, Jorge A. ^{[1
]}

Velazquez-Camilo, Oscar ^{[2
]}

Puebla, Hector ^{[1
]}

Hernandez-Martinez, Eliseo ^{[3
]}

机构：

[1] Univ Autonoma Metropolitana Azcapotzalco, Dept Energia, Av San Pablo Xalpa, Mexico City 02200, DF, Mexico

[2] Univ Veracruzana, Fac Ciencias Quim, Bv Adolfo Ruiz Cortines, Veracruz 94294, Mexico

[3] Univ Veracruzana, Fac Ciencias Quim, Veracruz 91000, Mexico

来源：

CHEMICAL ENGINEERING & TECHNOLOGY | 2021年 / 44卷 / 11期

关键词：

Cane sugar crystallization; Crystallization; Multifractal analysis; Process analysis; Temperature time series; DETRENDED FLUCTUATION ANALYSIS; FRACTAL ANALYSIS;

D O I：

10.1002/ceat.202100231

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The monitoring and diagnosis of crystallization processes are difficult due to the interaction of nucleation and crystal growth phenomena. In recent years, image and time series analysis using fractal methodologies showed potential as an alternative for monitoring crystal growth, although the available results are scarce. In this work, the multifractal detrended fluctuation analysis (MF-DFA) was applied to temperature time series obtained from a laboratory-scale cane sugar crystallization operated at different operating conditions. MF-DFA reflects that the crystallization process exhibits multifractal properties associated with the dynamic behavior of the underlying phenomena. Thus, multifractal analysis can identify how operational changes influence the crystal growth and formed crystal mass.

引用

页码：2064 / 2072

页数：9

共 46 条

[21] Microscopy and calorimetry as complementary techniques to analyze sugar crystallization from amorphous systems [J].

Mazzobre, MF ;

Aguilera, JM ;

Buera, MP .

CARBOHYDRATE RESEARCH, 2003, 338 (06) :541-548

[22] Monitoring anaerobic sequential batch reactors via fractal analysis of pH time series [J].

Mendez-Acosta, H. O. ;

Hernandez-Martinez, E. ;

Jauregui-Jauregui, J. A. ;

Alvarez-Ramirez, J. ;

Puebla, H. .

BIOTECHNOLOGY AND BIOENGINEERING, 2013, 110 (08) :2131-2139

[23] Hybrid modeling based on mechanistic and data-driven approaches for cane sugar crystallization [J].

Meng, Yanmei ;

Yu, Shuangshuang ;

Zhang, Jinlai ;

Qin, Johnny ;

Dong, Zhen ;

Lu, Guancheng ;

Pang, Haifeng .

JOURNAL OF FOOD ENGINEERING, 2019, 257 :44-55

[24] Data-driven soft sensor modeling based on twin support vector regression for cane sugar crystallization [J].

Meng, Yanmei ;

Lan, Qiliang ;

Qin, Johnny ;

Yu, Shuangshuang ;

Pang, Haifeng ;

Zheng, Kangyuan .

JOURNAL OF FOOD ENGINEERING, 2019, 241 :159-165

[25]

Mersmann A., 2001, Crystallization Technology Handbook, V1st ed.

[26] Fractal analysis of lyotropic lamellar liquid crystal textures [J].

Muniandy, SV ;

Kan, CS ;

Lim, SC ;

Radiman, S .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2003, 323 :107-123

[27]

Myerson A. S., 2019, Handbook of Industrial Crystallization, V3rd ed.

[28] Recent advances in the monitoring, modelling and control of crystallization systems [J].

Nagy, Zoltan K. ;

Fevotte, Gilles ;

Kramer, Herman ;

Simon, Levente L. .

CHEMICAL ENGINEERING RESEARCH & DESIGN, 2013, 91 (10) :1903-1922

[29] Multiscale Framework for Real-Time Process Monitoring of Nonlinear Chemical Process Systems [J].

Nawaz, Muhammad ;

Maulud, Abdulhalim Shah ;

Zabiri, Haslinda ;

Suleman, Humbul ;

Tufa, Lemma Dendena .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 59 (41) :18595-18606

[30] MOSAIC ORGANIZATION OF DNA NUCLEOTIDES [J].

PENG, CK ;

BULDYREV, SV ;

HAVLIN, S ;

SIMONS, M ;

STANLEY, HE ;

GOLDBERGER, AL .

PHYSICAL REVIEW E, 1994, 49 (02) :1685-1689

← 1 2 3 4 5 →