(287h) Advancing Granular Mixing Techniques: Unraveling the Influence of Particle Shape and Segregation in Solid-Solid and Gas-Solid Systems

Abstract:

Throughout my academic journey, my research has been dedicated to exploring the intricacies of granular mixing in both solid-solid and gas-solid systems. Using innovative experimental and simulation methods, I strive to make significant contributions to the field of granular mixing, ultimately benefiting industries that depend on efficient and reliable mixing processes.

Ph.D. Work/Background:

During my Ph.D., I focused on investigating segregation in solid-solid and gas-solid systems through a combination of experimental and simulation techniques. Leveraging high-performance computers and employing the Discrete Element Method (DEM) with open-source software "LIGGGHTS" and commercial software "EDEM," I gained valuable insights into granular mixing phenomena.

In the context of solid-solid mixing, my research extensively explored the influence of particle parameters such as shape, elongation, size, density, and filling percentage, as well as system parameters like time and rotational speed, on mixing efficiency. I emphasized the significance of particle interlocking and identified critical vibration and rotation intensities that optimize mixing performance. Additionally, I investigated the application of convection currents in vibrating bed mixers, providing valuable insights for industries seeking to enhance their processes and improve mixing efficiency. Furthermore, I highlighted the enhanced capabilities of non-spherical particles in minimizing segregation in binary mixtures, explaining the results based on the percolation mechanism. These research findings were disseminated through four publications in reputable journals. The graphical abstract depicts a post-rotation visualization comparison for validating the DEM model's accuracy. The comparison involves (a) experimental results and (b) DEM simulation results. The study focuses on the mixing of non-spherical particles, specifically elongated needles, with spherical particles in a rotating drum.

In the realm of gas-solid systems, my work delved into particle segregation and flow behavior using experimental approaches. I proposed effective methods to mitigate segregation, leading to improved process efficiency and product quality. This research culminated in a publication in Industrial & Engineering Chemistry Research (I&ECR), further advancing granular mixing techniques.

Currently, I am expanding my skillset by incorporating machine learning techniques into my research. I am currently working on a manuscript that combines machine learning with DEM to predict segregation in a system, aiming to enhance the predictive capabilities of granular mixing behavior.

Future Directions:

In the next phase of my career, I am actively pursuing opportunities in postdoctoral or industrial positions. My primary focus continues to be on conducting experiments and utilizing DEM (Discrete Element Method) simulation techniques. My eagerness to contribute to practical applications motivates me to seek roles where I can play a pivotal part in designing and optimizing granular systems, ultimately enhancing efficiency and reliability across various industries. I have a interest in working with mixing equipment such as tote blenders, fluidized beds, vibro-fluidized beds, ribbon mixers, V-blenders or similar equipment, utilizing both experimental and computational approaches.

Moreover, I am enthusiastic about exploring advanced imaging and tracking methods to gain real-time insights into particle behavior during mixing processes. Utilizing high-speed cameras and particle tracking algorithms, I aim to visualize particle interactions, trajectories, and collisions, providing invaluable data for refining our understanding of granular mixing dynamics.

Overall, my driving passion is to contribute to progress and innovation in granular systems, spearheading advancements in various industries and enhancing their operational efficiency through optimized granular mixing techniques.

In conclusion, my research interest centers on advancing granular mixing techniques, particularly by shedding light on the impact of particle shape and segregation in both solid-solid and gas-solid systems. By pushing the boundaries of experimental and simulation methodologies, I am committed to shaping the future of granular/powder processing and making a positive impact on industries reliant on efficient mixing. I eagerly anticipate contributing my expertise and collaborative spirit to address real-world challenges and drive advancements in granular mixing technologies.