DEM Calibration Approach: design of experiment

Бойков, А. В.; Savelev, R. V.; Payor, V. A.

doi:10.1088/1742-6596/1015/3/032017

Cited by 29 publications

(13 citation statements)

References 18 publications

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“…Recently, DEM is a method which has been increasingly used in the simulation of machine operation and optimization, devices, and processing of loose material. The precise representation of the particle shape and size affects the accuracy of a DEM model and prediction of grain behavior motion [ 81 , 82 , 83 ].…”

Section: Resultsmentioning

confidence: 99%

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Kruszelnicka

2021

Materials

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Mechanical properties of corn grains are of key importance in a design of processing machines whose energy demand depends on these properties. The aim of this study is to determine the selected mechanical properties of corn grains and the rupture energy. The research problem was formulated as questions: (1) How much force and energy is needed to induce a rupture of corn grain maintaining good quality of the product of processing (mixing, grinding transport)? (2) Can empirical distributions of the studied physical-mechanical properties be described by means of probability distributions provided by the literature? (3) Is there a relationship between the corn grain size and the selected mechanical properties, as well as rupture energy? In order to achieve the goals, the selected physical properties (size, volume) of corn grains have been distinguished and a static compression test has been carried out on an Instron 5966 testing machine. The results indicate a significant scatter of the results in terms of size, grain shape, forces, energy, and deformation corresponding to the point of inflection, bioyiled point, and rupture point. It has also been indicated that empirical distributions of the analyzed properties can be described by means of distributions known from the literature, e.g., gamma, Weibull or lognormal distributions. It has been confirmed that mechanical properties such as force, energy, and stress that cause rupture depend on the grain size, more precisely, the grain thickness—there are negative relations between thickness and force, energy and stress in relation to the point of inflection, bioyiled point, and rupture point.

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Section: Resultsmentioning

confidence: 99%

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Kruszelnicka

2021

Materials

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“…The constants of these latter equations are listed in Table 8 as well. To be stated, the prediction equations for both free-flowing and cohesive powders showed a nonlinear relation between the parameters, unlike the study conducted by Boikov [75]. He had no ambiguity in his sought responses as he assumed that the parameters are linearly dependent can be seen in this study that this depends on the application and not only on the type of powder being used.…”

Section: Cohesivementioning

confidence: 68%

A multivariate regression parametric study on DEM input parameters of free-flowing and cohesive powders with experimental data-based validation

et al. 2020

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One of the key challenges in the implementation of discrete element method (DEM) to model powder's flow is the appropriate selection of material parameters, where empirical approaches are mostly applied. The aim of this study is to develop an alternative systematic numerical approach that can efficiently and accurately predict the influence of different DEM parameters on various sought macroscopic responses, where, accordingly, model validation based on experimental data is applied. Therefore, design of experiment and multivariate regression analysis, using an optimized quadratic D-optimal design model and new analysis tools, i.e., adjusted response and Pareto graphs, are applied. A special focus is laid on the impact of six DEM microscopic input parameters (i.e., coefficients of static and rolling friction, coefficient of restitution, particle size, Young's modulus and cohesion energy density) on five macroscopic output responses (i.e., angle of repose, porosity, mass flow rate, translational kinetic energy and computation time) using angle of repose tests applied to free-flowing and cohesive powders. The underlying analyses and tests show, for instance, the substantial impact of the rolling friction coefficient and the minor role of the static friction coefficient or the particle size on the angle of repose in cohesive powders. In addition, in both powders, the porosity parameter is highly influenced by the static and rolling friction coefficients.

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“…The developed approach is a result of the research conducted by the authors since 2017. Approaches to using the BCA method directly using the design of the experiment were considered [26]. One way or another, this approach did not solve the main problems given in the introduction.…”

Section: Methodsmentioning

confidence: 99%

Universal Approach for DEM Parameters Calibration of Bulk Materials

et al. 2021

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DEM parameters calibration is the most important step in preparing a DEM model. At the same time, the lack of a universal approach to DEM parameters calibration complicates this process. The paper presents the author’s approach to creating a universal calibration approach based on the physical meaning of the friction coefficients and conducting symmetrical experiments at full scale and in a simulation, as well as the implementation of the approach in the form of a physical test rig. Several experiments were carried out to determine the DEM parameters of six material–boundary pairs. The resulting parameters were adjusted using a refinement experiment. The results confirmed the adequacy of the developed approach, as well as its applicability in various conditions. The limitations of both the approach itself and its specific implementation in the form of a test rig were identified.

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DEM Calibration Approach: design of experiment

Cited by 29 publications

References 18 publications

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

A multivariate regression parametric study on DEM input parameters of free-flowing and cohesive powders with experimental data-based validation

Universal Approach for DEM Parameters Calibration of Bulk Materials

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