scholarly journals Parameter Calibration of Pig Manure with Discrete Element Method Based on JKR Contact Model

2020 ◽  
Vol 2 (3) ◽  
pp. 367-377
Author(s):  
Wenjie Yu ◽  
Renxin Liu ◽  
Weiping Yang
Keyword(s):  
Discrete Element Method ◽  
Polynomial Regression ◽  
Discrete Element ◽  
Regression Equation ◽  
Pig Manure ◽  
Discrete Element Simulation ◽  
Processing Machinery ◽  
Element Simulation ◽  
Polynomial Regression Equation ◽  
Element Method

The conversion of pig manure into organic fertilizer has become a research hotspot in agricultural engineering, and many types of pig manure processing machinery have been derived. The discrete element method (DEM) can be used in the research of pig manure processing machinery to study the interaction between pig manure and machinery, which makes the research more direct and accurate. In order to introduce the discrete element method into the research of pig manure processing machinery, a reliable parameter basis for discrete element simulation is necessary, taking the angle of repose (AoR) as the reference and based on the hertz-mindlin with JKR contact model and Plackett–Burman experiment design. Three parameters with significant influence on the AoR are screened out from nine parameters related to pig manure. By conducting Box–Behnken experiment design, the quadratic polynomial regression equation between the AoR and three significant parameters is established. According to the parameters predicted by the quadratic polynomial regression equation, the discrete element simulation of AoR is conducted. The simulation result of AoR (38.54°) is close to the experimental result (38.65°) with a relative error of 0.28%, indicating that the regression equation can predict the relevant parameters of pig manure according to the AoR.

Computational fluid dynamics and discrete element simulation of the formation of inorganic syngas contaminants during lignocellulosic biomass gasification

2020 ◽  
Vol 4 (8) ◽  
pp. 4219-4231
Author(s):  
Oluwafemi Oyedeji ◽  
Nourredine Abdoulmoumine
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Lignocellulosic Biomass ◽  
Biomass Gasification ◽  
Discrete Element ◽  
Discrete Element Simulation ◽  
Element Simulation ◽  
Dem Model ◽  
Element Method

We report in this study the development of a computational fluid dynamics and discrete element method (CFD-DEM) model to predict the yield of deleterious nitrogen and sulfur contaminants (NH3, HCN, H2S, COS, and SO2) during biomass gasification.

Hybrid Finite-Discrete Element Simulation of Crack Propagation under Mixed Mode Loading Condition

2006 ◽  
Vol 306-308 ◽  
pp. 495-500
Author(s):  
Ahmad Kamal Ariffin ◽  
Syifaul Huzni ◽  
Mohd Jailani Mohd Nor ◽  
Nik Abdullah Nik Mohamed
Keyword(s):  
Crack Propagation ◽  
Mixed Mode ◽  
Loading Condition ◽  
Discrete Element ◽  
Experimental Result ◽  
Mixed Mode Loading ◽  
Discrete Element Simulation ◽  
Element Simulation ◽  
Proposed Model ◽  
Element Method

This paper describes the numerical modeling based on combination of finite element method (FEM) and discrete element method (DEM) has been employed to simulate crack propagation under mixed mode loading. The work demonstrates the ability of combination finitediscrete element method to simulate the crack propagation that is usually performed through, what is termed, transition from continua to discontinua process. Crack propagation trajectory under selected loading angles (30o & 60o) are presented. The result obtained using the proposed model compare well with experimental result.

Discrete element method to model cracking for two layer systems

TAPPI Journal ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 101-108
Author(s):  
Daniel Varney ◽  
Douglas Bousfield
Keyword(s):  
Discrete Element Method ◽  
Flexural Modulus ◽  
Single Layer ◽  
Discrete Element ◽  
Flexural Stress ◽  
Layer System ◽  
Three Point Bending ◽  
Moving Force ◽  
Coating Layers ◽  
Element Method

Cracking at the fold is a serious issue for many grades of coated paper and coated board. Some recent work has suggested methods to minimize this problem by using two or more coating layers of different properties. A discrete element method (DEM) has been used to model deformation events for single layer coating systems such as in-plain and out-of-plain tension, three-point bending, and a novel moving force picking simulation, but nothing has been reported related to multiple coating layers. In this paper, a DEM model has been expanded to predict the three-point bending response of a two-layer system. The main factors evaluated include the use of different binder systems in each layer and the ratio of the bottom and top layer weights. As in the past, the properties of the binder and the binder concentration are input parameters. The model can predict crack formation that is a function of these two sets of factors. In addition, the model can predict the flexural modulus, the maximum flexural stress, and the strain-at-failure. The predictions are qualitatively compared with experimental results reported in the literature.

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