Cheng Liang, Wang Guangming, Ma Zhijun, Guo Hao, Gao Ye, Zhang Qi, Gao Jing, Fu Hanghang
College of Mining, Liaoning Technical University, Fuxin, 123000, China.
College of Material Science and Engineering, Liaoning Technical University, Fuxin, 123000, China.
Sci Rep. 2024 Mar 29;14(1):7502. doi: 10.1038/s41598-024-57710-x.
Coal-series diatomite (CSD) is widely distributed in China and has poor functional and structural properties and exhibits limited utilization of high value-added materials, resulting in a serious waste of resources and tremendous pressure on the environment. Moreover, due to differences in the mineralogical characteristics of CSD, different particle size scales (PSSs) have different functional structures and exhibit different self-similarities. In this study, we took CSD as the research object and PSS as the entry point and carried out a self-similarity study based on gas adsorption and an image processing method to illustrate the microstructures and self-similarities of different PSSs. The results showed that the pore structure of the CSD was dominated by mesopores and macropores and basically lacked micropores. The fractal dimensions were calculated with the Frenkel-Haisey-Hill (FHH) model and Menger model, and the D values for - 0.025 mm and - 2 mm were 2.51 and 2.48, respectively, and the D values were 3.75 and 3.79, respectively, indicating that the mesopore structure of the fine PSS was complex, whereas macropores were present in the coarse PSS. MATLAB was programmed to obtain grayscale thresholds, binarized images, grayscale histograms, three-dimensional (3D) reconstruction images and box dimensions, which enabled us to observe the microstructures and self-similarities of the CSD. Self-similarity studies based on particle sizes are very important for functional application of CSD.Please note that article title mismatch between MS and JS we have followed MS, kindly check and cofirm.Yes, I have checked and confirmed.Kindly check and confirm corresponding author mail id are correctly identified.Yes, I have checked and confirmed.
煤系硅藻土（CSD）在中国分布广泛，但其功能和结构性能较差，高附加值材料的利用率有限，导致资源严重浪费和环境压力巨大。此外，由于CSD矿物学特征的差异，不同的粒径尺度（PSS）具有不同的功能结构并表现出不同的自相似性。在本研究中，我们以CSD为研究对象，以PSS为切入点，基于气体吸附和图像处理方法进行了自相似性研究，以阐明不同PSS的微观结构和自相似性。结果表明，CSD的孔隙结构以中孔和大孔为主，基本缺乏微孔。用Frenkel-Haisey-Hill（FHH）模型和Menger模型计算分形维数，-0.025mm和-2mm的D值分别为2.51和2.48，而对于这两个粒径尺度，相应的D值分别为3.75和3.79，这表明细粒径尺度PSS的中孔结构复杂，而粗粒径尺度PSS中存在大孔。通过编写MATLAB程序获得灰度阈值、二值化图像、灰度直方图、三维（3D）重建图像和盒维数，这使我们能够观察CSD的微观结构和自相似性。基于粒径的自相似性研究对于CSD的功能应用非常重要。请注意，稿件和期刊的文章标题不匹配，我们遵循了稿件的标题，请检查并确认。是的，我已经检查并确认。请检查并确认通讯作者的邮件地址是否正确识别。是的，我已经检查并确认。
