References of "Peters, Bernhard 50002840"
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See detailThe extended discrete element method (XDEM) for multi-physics applications
Peters, Bernhard UL

in Scholarly Journal of Engineering Research (2013)

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See detailEnergy and First Law of Thermodynamics
Peters, Bernhard UL

in Encyclopedia of Thermal Stress (2012)

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See detailA shrinking model for combustion gasification of char based on transport and reaction time scales
Peters, Bernhard UL; Dziugys, Algis; Navakas, Robertas

in Mechanika (2012)

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See detailDeveloping a fast photochemical calculator for an integrated assessment model
Reis, Lara; Melas, Dimitrios; Peters, Bernhard UL et al

in International Journal of Environment and Pollution (2012)

The use of integrated assessment models, in air quality policy, which combines atmospheric models with others from different fields, raises the need of developing specific air quality modelling concepts ... [more ▼]

The use of integrated assessment models, in air quality policy, which combines atmospheric models with others from different fields, raises the need of developing specific air quality modelling concepts. The air quality model, AUSTAL2000-AYLTP uses an adapted version of AUSTAL2000 model to calculate transport coupled with a fast photochemical module. Two approaches are compared: one using a look-up table and the other using a coupled box model. The lookup table has been built using the OZIPR model by simulating a large set of possible combinations of meteorological variables and precursor concentrations. The second approach consists of coupling the Lagrangian model AUSTAL2000 with the OZIPR box model. In both approaches the photochemistry is included in the mode by using a quasi-linear reaction rates coefficient which is used to affect the mass of the Lagrangian particles. We discuss the differences and the suitability of the two model versions, through exploring CPU time flexibility, applicability and accuracy. [less ▲]

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See detailHeat transfer in Fixed and Moving Packed Beds Predicted by the Extended Discrete Element Method
Peters, Bernhard UL; Dziugys, Algis

in Advances in Industrial Heat Transfer (2012)

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See detailResolution of Different Length Scales by an Efficient Combination of the Finite Element Method and the Discrete Element Method
Michael, Mark UL; Peters, Bernhard UL; Vogel, Frank

in Topping, B.H.V. (Ed.) Proceedings of the Eleventh International Conference on Computational Structures Technology (2012)

The combination of the discrete element method and the finite element method is shown to be a suitable technique to resolve different length scales within almost all engineering problems dealing with ... [more ▼]

The combination of the discrete element method and the finite element method is shown to be a suitable technique to resolve different length scales within almost all engineering problems dealing with granular assemblies, which are also in contact with a deformable body of an engineering device. The extended discrete element method (XDEM) describes the motion and forces of each individual grain within the granular assembly. Hence, the XDEM as a discrete approach accounts for each grain individually rather than describing the granular assembly as a continuous entity. On the other hand, the finite element method predicts accurately the deformations and the responding stress of the engineering device. Thus, this part of the simulation domain is efficiently approximated by a continuum approach. The two domains share an interface which enables the employment of contact models fitting the particular behaviour of the contact problem between each grain and the surface of the device. At the interface impact forces develop which then propagate into the different length scales. Thus, the combined discrete and continuum approach now enables the tracking of both responses by the appropriate resolution. Each grain of the assembly in contact with the solid body generates a contact force and experiences a repulsive force which it reacts on individually. The contact forces sum up on the interface and cause the solid body to deform. This results in stresses which again the assembly recognise as a repulsive response. The coupling method utilises quite naturally the advantages of both the continuum and the discrete approach and thereby compensating the shortages of each method. The coupling method not only resolves the different scales it further contributes to the efficiency of the computations. The method employs a fast contact detection algorithm, which spares valuable computation time by a fast separation of the important pairs of particles and surface element for the contact force prediction. The discrete element method - finite element method (DEM-FEM) simulation technique is introduced with two engineering application of entirely different fields. However, both applications inherit similar physical problems of different length scales. In both cases individual particles are in contact with a widely used engineering device that is in contact with the granular material. Thus, the DEM-FEM coupling is shown to resolve the different scale responses within each domain separately. [less ▲]

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See detailApplication of a detailed reaction mechanism to pyrolysis of miscanthus giganteus
Peters, Bernhard UL

in Journal of Analytical and Applied Pyrolysis (2011)

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See detailTrade-offs between energy cost and health impact in a regional coupled energy–air quality model: the LEAQ model
Peters, Bernhard UL; Zachary, Dan; Drouet, L. et al

in Environmental Research Letters (2011)

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See detailAn Integrated Approach to Model Blast Furnaces
Hoffmann, Florian UL; Peters, Bernhard UL

in Proceedins: METEC InSteelCON 2011, Düsseldorf, Germany, CCD Congress Center Düsseldorf, 27th June - 1st July, 2011 (2011)

The objective of this contribution is to introduce a discrete numerical approach that describes all relevant mechanisms above the cohesive zone within a blast furnace. It includes a thermal conversion ... [more ▼]

The objective of this contribution is to introduce a discrete numerical approach that describes all relevant mechanisms above the cohesive zone within a blast furnace. It includes a thermal conversion module describing physico-chemical processes for ore and coke and a motion module which allows for spacial movement of the particles within the blast furnace. Both aspects are dealt with by the Discrete Particle Method (DPM), so that the sum of particle processes represents the global process. Conversion of particles is described by one-dimensional and transient differential conservation equations (mass, momentum, energy). Interaction between multiple particles takes place through gaseous intermediates, namely CO, CO2 and H2. For the bulk gas phase within the voidage between particles Computational Fluid Dynamics (CFD) is applied. In order to calculate mechanical interaction of the particles in a packed bed a discrete element technique (DEM) based on classical Newtonian dynamics was employed. This permits the prediction of trajectories of coke and ore particles. The presented model can act as tool to gain valuable insights into blast furnace processes and can serve as a toolbox for prediction and optimization of burden charging, burden movement, gas flow, reduction rates and reduction of coke consumption. [less ▲]

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See detailPrediction of Conversion of a Packed Bed of Fuel Particles on a Forward Acting
Peters, Bernhard UL; Dziugys, Algis

in Computer Aided Chemical Engineering (2011)

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See detailEvaluation of potassium chloride emissions applying the Discrete Particle Method (DPM)
Peters, Bernhard UL; Smula, Joanna UL

in Computers & Chemical Engineering (2011)

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See detailSimulation of Thermal Conversion of Solid Fuel By The Discrete Particle Method
Peters, Bernhard UL; Dzuigys, Algis; Navakas, Robertas

in Lithuanian Journal of Physics (2011)

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See detailCombustion Handbook
Peters, Bernhard UL; Raupenstrauch, R.

Book published by Winter,F. (2010)

Detailed reference viewed: 58 (0 UL)
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See detailAn implicit approach to predict the dynamics of granular media
Samiei, Kasra UL; Peters, Bernhard UL; Bolten, M. et al

in Abstract book of 81st Annual Meeting of the International Association of Applied Mathematics and Mechanics (2010), 10(1), 55-56

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See detailA discrete approach to thermal conversion of solid fuel by the discrete particle method (dpm)
Peters, Bernhard UL; Dziugys, Algis; Navakas, Robertas

in Abstract book of 10th International Conference Modern Building Materials, Structures and Techniques (2010)

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See detailApproach To Predict Emission of Sulfur Dioxide during Switchgrass Combustion Employing the Discrete Particle Method (DPM)
Peters, Bernhard UL; Smula, Joanna UL

in Energy & Fuels (2010), 2(24), 945953

During the combustion of switchgrass sulfur dioxide is released. Therefore, the objective of the present study is to evaluate the kinetics of formation of sulphur dioxide during switchgrass combustion ... [more ▼]

During the combustion of switchgrass sulfur dioxide is released. Therefore, the objective of the present study is to evaluate the kinetics of formation of sulphur dioxide during switchgrass combustion. Experimental data obtained by the National Renewable Energy Institute in Colorado was used to evaluate the kinetic data. Conversion of switchgrass was described by the Discrete Particle Method (DPM) that is an efficient tool to predict all major processes such as heating-up, pyrolysis and combustion. In conjunction with initial and boundary conditions and a given set of kinetic parameters allows for prediction of the sulphur dioxide emission. The rate of sulphur dioxide formation is approximated by an Arrhenius-like ex- pression. These parameters were determined by a least square method so that the deviation between the measured data and predictions was minimized. The kinetic data determined yielded good agreement between experimental data and predictions. [less ▲]

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