A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) study. (2nd February 2017)

• Record Type: Journal Article
• Authors: Wilkinson, S.K.; Turnbull, S.A.; Yan, Z.; Stitt, E.H.; Marigo, M.
• Is Part Of: Computers & chemical engineering. Volume 97(2017)
• Page Start: 161
• Page End: 174
• Publication Date: 2017-02-02
• Subjects: Discrete element method -- Freeman rheometer -- Flowability -- Particle properties -- Parameter estimation -- Principal component analysis; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2016.11.034
• Languages: English
• ISSNs: 0098-1354

Abstract

Graphical abstract: Highlights: Simulation outcomes using DEM are strongly influenced by 'chosen' input parameters. Case study of simulation of a Freeman Rheometer to characterise powder flowability. Design of simulations used to extensively explore impact of parameter inputs. Results analysed via effects/interactions model and principal component analysis. Methodology provides parameter calibration roadmap for Freeman Rheometer. Abstract: The flowability of powders in a Freeman Rheometer (FT4) is explored in this study using discrete element method (DEM). Five DEM input parameters describing particle properties: static and rolling friction coefficients, coefficient of restitution, Young's modulus and cohesion energy density (using JKR cohesion model) were explored in a matrix of simulations using Design of Simulation (DoS) principles. The impact of these parameters was assessed against two responses from the FT4 test: the basic flowability energy (BFE) and specific energy (SE). By using a combination of empirical effects and interactions analysis and principal component analysis (PCA), it was found that static and rolling friction parameters play a critical role in determining the BFE and SE of a powder, whilst cohesion energy density also plays a significant role in influencing BFE. The combination of these methods has helped deliver a roadmap to show which parameters would be effectively calibrated on an FT4.