Assessing solid particle mixing using X-ray radiographic particle tracking

Thumbnail Image
Date
2023-05-03
Authors
Nadeem, Humair
Jamdagni, Prajjwal
Nere, Nandkishor K.
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd.
Authors
Person
Person
Heindel, Theodore
University Professor
Research Projects
Organizational Units
Organizational Unit
Mechanical Engineering
The Department of Mechanical Engineering at Iowa State University is where innovation thrives and the impossible is made possible. This is where your passion for problem-solving and hands-on learning can make a real difference in our world. Whether you’re helping improve the environment, creating safer automobiles, or advancing medical technologies, and athletic performance, the Department of Mechanical Engineering gives you the tools and talent to blaze your own trail to an amazing career.
Organizational Unit
Computer Science

Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.

History
The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.

Dates of Existence
1969-present

Related Units

Journal Issue
Is Version Of
Versions
Series
Abstract
Mixture homogeneity values are obtained from a binary mixture in a vertically bladed mixer utilizing data extracted from a single tagged particle. X-ray radiography was performed to image the mixer vessel during the mixing process, and the location of the tagged particle was tracked throughout. Mixture homogeneity is quantified using a standard deviation-based Location Distribution Mixing Index (LDMI), the Modified Generalized Mixing Mean Mixing Index (MGMMI), and the Gini Index, all adapted to single-particle data. Mixture homogeneity values obtained using these indices were compared to data extracted using X-ray Computed Tomography (CT), which was quantified using a particle scale mixing index. It was observed that the LDMI was superior in determining the magnitude of mixing, whereas the Gini index was more suited to predicting mixing endpoints. Methods presented in this study pave the way for new process analytical technologies that extract in-line mixture homogeneity values using velocimetric methods while removing the necessity of uniquely identifying and discriminating between tagged particles.
Comments
This is a manuscript of an article published as Nadeem, Humair, Prajjwal Jamdagni, Shankar Subramaniam, Nandkishor K. Nere, and Theodore J. Heindel. "Assessing solid particle mixing using X-ray radiographic particle tracking." Chemical Engineering Research and Design (2023). DOI: 10.1016/j.cherd.2023.05.003. Copyright 2023 Institution of Chemical Engineers. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Posted with permission.
Description
Keywords
Citation
DOI
Subject Categories
Copyright
Collections