A set of hysteretic nonlinear contact models for DEM: Theory, formulation, and application for lignocellulosic biomass

Chen, Feiyang; Xia, Yidong; Klinger, Jordan; Chen, Qiushi

doi:10.1016/j.powtec.2021.117100

Cited by 15 publications

(12 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, most of the material parameters of the FEM model (Table 1) have physical meaning and can be directly obtained from the lab characterization data (Lu et al, 2021b). In contrast, the particle-scale contact parameters (Table 2) were all fitted through a single set of cyclic axial compression data (Xia et al, 2019;Chen et al, 2022), though more sets of data can be used. The risk is that, if the objective fitting function has multiple saddle points, the calibration process may result in a local set of optimal values instead of their true global optimal.…”

Section: Discussionmentioning

confidence: 99%

“…A contact model that relates motion and force between two particles is required to complete the above governing equations in Eqs 5, 6. We adopt the contact model proposed by Chen et al (2022) in this paper, and we briefly introduce it in the following section.…”

Section: Solution Algorithmmentioning

confidence: 99%

“…This latter approach is appealing for simulating larger-scale problems due to its computational efficiency and is therefore adopted in this study. Specifically, we adopt a recently proposed nonlinear hysteretic model to calculate the interaction forces (Chen et al,2022). This model is capable of capturing the sophisticated bulk behavior of granular biomass that yield strain hardening, interlocking, and cohesion, when subjected to variable compressive and repeated loading conditions.…”

Section: Contact Modelmentioning

confidence: 99%

“…Table 2 summarizes the calibrated DEM particle-particle (P-P) contact model parameters against the cyclic axial compression tests on loblolly pine chips. The calibration procedure is detailed in Chen et al (2022) for the hysteretic contact model parameters (for normal contact force component) and in Xia et al (2019) for the Mindlin model (for tangential contact force component). Note the parameters (A 1 , A 2 , A 3 ) listed in the table are correlated with k 1 and k 2 in Eq.…”

Section: Granular Materialsmentioning

confidence: 99%

“…Guo et al (2021) developed an experiment-informed, semiempirical, elasto-plastic bond model for discrete element modeling of woody biomass particles. A recent effort by Chen et al (2022) proposed a set of complex particle contact laws to describe particle interactions using monospheres.…”

mentioning

confidence: 99%

See 4 more Smart Citations

On the Fidelity of Computational Models for the Flow of Milled Loblolly Pine: A Benchmark Study on Continuum-Mechanics Models and Discrete-Particle Models

Jin

Chen

et al. 2022

Front. Energy Res.

Self Cite

View full text Add to dashboard Cite

The upstream of bioenergy industry has suffered from unreliable operations of granular biomass feedstocks in handling equipment. Computational modeling, including continuum-mechanics models and discrete-particle models, offers insightful understandings and predictive capabilities on the flow of milled biomass and can assist equipment design and optimization. This paper presents a benchmark study on the fidelity of the continuum and discrete modeling approaches for predicting granular biomass flow. We first introduce the constitutive law of the continuum-mechanics model and the contact law of the coarse-grained discrete-particle model, with model parameters calibrated against laboratory characterization tests of the milled loblolly pine. Three classical granular material flow systems (i.e., a lab-scale rotating drum, a pilot-scale hopper, and a full-scale inclined plane) are then simulated using the two models with the same initial and boundary conditions as the physical experiments. The close agreement of the numerical predictions with the experimental measurements on the hopper mass flow rate, the hopper critical outlet width, the material stopping thickness on the inclined plane, and the dynamic angle of repose, clearly indicates that the two methods can capture the critical flow behavior of granular biomass. The qualitative comparison shows that the continuum-mechanics model outperforms in parameterization of materials and wall friction, and large-scale systems, while the discrete-particle model is more preferred for discontinuous flow systems at smaller scales. Industry stakeholders can use these findings as guidance for choosing appropriate numerical tools to model biomass material flow in part of the optimization of material handling equipment in biorefineries.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Solution Algorithmmentioning

confidence: 99%

Section: Contact Modelmentioning

confidence: 99%

Section: Granular Materialsmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations