Discrete element method based analysis of mixing and collision dynamics in adhesive mixing process. (23rd November 2018)
- Record Type:
- Journal Article
- Title:
- Discrete element method based analysis of mixing and collision dynamics in adhesive mixing process. (23rd November 2018)
- Main Title:
- Discrete element method based analysis of mixing and collision dynamics in adhesive mixing process
- Authors:
- Deng, Xiaoliang
Zheng, Kai
Davé, Rajesh N. - Abstract:
- Graphical abstract: Adhesive mixture quality impacted by the interplay between the collision energy and detachment energy as a function of surface energy of fine particles. Highlights: Adhesive mixing dynamics investigated via DEM using statistically significant number of coarse particles. Mixing dynamics analyzed through normalized fine-fine and coarse–fine contacts. Mixing quality was assessed via two parameters which capture mixing and coating quality. When collision energy is greater than detachment energy, collision rate determines mixing quality. Experimental results validate adhesive mixing dynamics attained in simulations. Abstract: When small amounts of fine particles are mixed with coarser particles, they tend to form ordered or adhesive mixtures. In order to understand the effect of fine particle amount and cohesion on the adhesive mixing process, discrete element method (DEM) simulations are carried out in which cohesion is represented by surface energy. High-intensity vibrational mixing was used to examine two important and related dynamic processes; fine particle deagglomeration and their subsequent adhesion to coarse particles, by analyzing normalized fine-fine (FF) and coarse–fine (CF) particle contact numbers, respectively, along with the mixing quality. It is found that FF contacts decreases with the mixing time, indicating deagglomeration, before reaching equilibrium; while CF contacts, an indicator of coating, as well as mixing quality increase beforeGraphical abstract: Adhesive mixture quality impacted by the interplay between the collision energy and detachment energy as a function of surface energy of fine particles. Highlights: Adhesive mixing dynamics investigated via DEM using statistically significant number of coarse particles. Mixing dynamics analyzed through normalized fine-fine and coarse–fine contacts. Mixing quality was assessed via two parameters which capture mixing and coating quality. When collision energy is greater than detachment energy, collision rate determines mixing quality. Experimental results validate adhesive mixing dynamics attained in simulations. Abstract: When small amounts of fine particles are mixed with coarser particles, they tend to form ordered or adhesive mixtures. In order to understand the effect of fine particle amount and cohesion on the adhesive mixing process, discrete element method (DEM) simulations are carried out in which cohesion is represented by surface energy. High-intensity vibrational mixing was used to examine two important and related dynamic processes; fine particle deagglomeration and their subsequent adhesion to coarse particles, by analyzing normalized fine-fine (FF) and coarse–fine (CF) particle contact numbers, respectively, along with the mixing quality. It is found that FF contacts decreases with the mixing time, indicating deagglomeration, before reaching equilibrium; while CF contacts, an indicator of coating, as well as mixing quality increase before reaching equilibrium. A major new finding is that the number of fine particles per coarse particle at equilibrium follows lognormal distribution. The time scales to reach equilibrium FF contact number and mixing quality are comparable, indicating that deagglomeration is the dominant factor for achieving a uniform adhesive mixture. As expected, increasing surface energy of fine particles leads to decreased mixing quality due to stronger agglomerates that cannot be broken by collisions. On the other hand, collision rate can dictate mixing quality, as long as the collision energy is greater than the corresponding detachment energy of fine particles agglomerates. Selected experimental results validate the DEM simulations and their ability to describe the adhesive mixing process. … (more)
- Is Part Of:
- Chemical engineering science. Volume 190(2018)
- Journal:
- Chemical engineering science
- Issue:
- Volume 190(2018)
- Issue Display:
- Volume 190, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 190
- Issue:
- 2018
- Issue Sort Value:
- 2018-0190-2018-0000
- Page Start:
- 220
- Page End:
- 231
- Publication Date:
- 2018-11-23
- Subjects:
- Adhesive mixing process -- Discrete element method (DEM) -- Mixing dynamics -- Collision dynamics
Chemical engineering -- Periodicals
Génie chimique -- Périodiques
Chemical engineering
Periodicals
Electronic journals
660 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00092509 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ces.2018.06.043 ↗
- Languages:
- English
- ISSNs:
- 0009-2509
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3146.000000
British Library DSC - BLDSS-3PM
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- 12833.xml