Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  ChemEngineering  /  Vol: 7 Par: 3 (2023)  /  Artículo
ARTÍCULO
TITULO

Quantitative Analysis of Separated Impurities inside Filter Cakes with Phantom-Aided X-ray Tomography

Judith Miriam Friebel    
Diana Neuber    
Thomas Buchwald    
Ralf Ditscherlein and Urs Alexander Peuker    

Resumen

This study presents a new approach in the quantification of the deposited amount of impurity inside a filter cake made up of filter aid material. For this purpose, three-dimensional imaging by X-ray tomography is applied. Based on the X-ray attenuation properties, a model system consisting of kieselguhr as filter aid and barium sulphate as impurity is chosen. Due to the impurity particle size being smaller than the spatial resolution of the measuring setup, a calibration approach is necessary to gain insight into subvoxel information. A so-called phantom of similar material composition is prepared. The grey values are linearly correlated with the impurity volume fraction resulting in a calibration function, which facilitates the calculation of impurity volume fraction based on grey values measured inside the filter cake. First results are presented, showing that the approach delivers valid results for the chosen material system and reveals unexpected characteristics of the filter cake structure. Challenges in the context of the phantom approach and their influence on the obtained results are discussed.

 Artículos similares

       
 
Jialong Peng, Shaoqiang Wang, Lin Mu and Si Wang    
With the increasing global reliance on maritime oil transportation, oil spills pose significant environmental hazards to coastal ecosystems. This study presents a comprehensive quantitative framework for assessing oil spill risks along the Jiaozhou Bay c... ver más
Revista: Water

 
Pavlo Maruschak, Ihor Konovalenko, Yaroslav Osadtsa, Volodymyr Medvid, Oleksandr Shovkun, Denys Baran, Halyna Kozbur and Roman Mykhailyshyn    
Modern neural networks have made great strides in recognising objects in images and are widely used in defect detection. However, the output of a neural network strongly depends on both the training dataset and the conditions under which the image was ac... ver más
Revista: Applied Sciences

 
Sawsan T. Abu-Zeid, Ragab E. Saif, Hisham A. Mostafa and Hadeel Y. Edrees    
Since the crystallinity of hydroxyapatite created by bioactive sealers could affect their solubility percentage, this study aimed to analyze the degree of crystallinity and mineral maturity of hydroxyapatite crystals formed by bioactive (Cerafil and Endo... ver más
Revista: Applied Sciences

 
Carlos Matos, Pedro Cabrera, José A. Carta and Noemi Melián-Martel    
Water scarcity is a global problem that particularly affects islands located in arid regions or regions with limited water resources. This issue has prompted the development of non-conventional water sources such as fossil fuel-powered desalination syste... ver más

 
Yongzhen Zhang, Yanbo Hui, Ying Zhou, Juanjuan Liu, Ju Gao, Xiaoliang Wang, Baiwei Wang, Mengqi Xie and Haonan Hou    
Moldy corn produces aflatoxin and gibberellin, which can have adverse effects on human health if consumed. Mold is a significant factor that affects the safe storage of corn. If not detected and controlled in a timely manner, it will result in substantia... ver más
Revista: Applied Sciences