Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals

Xiaokai Xing; Zhonghua Zhao; Jianhang Wu

doi:10.1016/j.cjche.2019.08.009

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Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals

Process Systems Engineering and Process Safety | Updated：2026-01-06

- Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals
- Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals
- 中国化学工程学报（英文版） 2020年28卷第2期页码：466-476
- Affiliations：
  
  1. National Engineering Laboratory for Pipeline Safety, Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-, Beijing,Beijing,China,102249
  2. Dalian Port (PDA) Company Limited, Dayaowan Business Building,Dalian,China,116000
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2019.08.009
  中图分类号：
- 纸质出版：2020
- Accepted：
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Xiaokai Xing, Zhonghua Zhao, Jianhang Wu. Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals[J]. 中国化学工程学报（英文版）, 2020,28(2):466-476.

Xiaokai Xing, Zhonghua Zhao, Jianhang Wu. Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals[J]. Chinese Journal of Chemical Engineering, 2020, 28(2): 466-476.
Xiaokai Xing, Zhonghua Zhao, Jianhang Wu. Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals[J]. 中国化学工程学报（英文版）, 2020,28(2):466-476. DOI： 10.1016/j.cjche.2019.08.009.

Xiaokai Xing, Zhonghua Zhao, Jianhang Wu. Direct image-based fractal characterization of micromorphology of calcium carbonate fouling crystals[J]. Chinese Journal of Chemical Engineering, 2020, 28(2): 466-476. DOI： 10.1016/j.cjche.2019.08.009.

摘要

Abstract

Researches on macroscopic fouling behavior and micromorphology are usually conducted separately. In this paper

the relationship between the macroscopic fouling behavior and micromorphology on different materials is established. A direct fractal-characterization approach based on the micrographs of calcium carbonate fouling crystals is presented. The box-counting method is used to characterize the fouling crystals. For fractal measurements

-distribution tests of linear regression hypothesis are performed at the significance level of 0.01. If all listed absolute

-statistics with the minimum of 164 are higher than the corresponding

value

the fouling crystals are determined as fractal

with a confidence level of 99%. The fractal dimensions obtained from the micrographs of different visual fields of a specimen are demonstrated to be almost identical

with maximum and minimum relative values of 4.42% and 0.75%

respectively

and standard deviations ranging from 0.0062 to 0.0266. The irregularity of the crystal morphology indicates larger fractal dimensions. Comparison and analysis of the relationship between macroscopic fouling behavior and mi

cromorphology show that the larger fractal dimension of crystal morphology suggests a small amount of surface fouling. Thus

the reasons for the differences in the macroscopic fouling behaviors of different materials are revealed geometrically.

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