Measurement of the dynamic behavior of bulk solids using optical flow analysis

Ostendorf, Michael; Schwedes, Jörg

doi:10.1016/s0167-3785(01)80087-7

Cited by 3 publications

(5 citation statements)

References 3 publications

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“…The contact force distribution in the silo is not symmetrical to the center line which is a realistic result caused due to the granular structure of the assembly. These numerical results are consistent with experiments [25] The magnitude of the time averaged wall stresses during discharge is depicted in Fig. 11.…”

Section: Wall Stresssupporting

confidence: 87%

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Applying the Discrete Element Method in Process Engineering

Theuerkauf¹,

Dhodapkar

Manjunath

et al. 2003

Chem Eng & Technol

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This paper provides insight into the application of discrete element modeling in the field of bulk solids handling. This is shown with examples starting with the calibration of a virtual numerical material used in the simulation to mimic the actual material's behavior. Based on the calibration of the material, solid handling problems such as the flow patterns and the stress distribution in silos are discussed.

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Section: Wall Stresssupporting

confidence: 87%

“…Ostendorf [20] has measured flow profiles at the surface of plane hoppers. However, the DEM offers insight into the entire flow and stress distribution within the granular material.…”

Section: Flow Profilesmentioning

confidence: 99%

Applying the Discrete Element Method in Process Engineering

Theuerkauf¹,

Dhodapkar

Manjunath

et al. 2003

Chem Eng & Technol

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“…In addition to the stress measurements, the bulk solids are observed optically with a CCD-camera. With these data, the velocities of the bulk solids are detected using Particle Image Velocimetry (PIV) (see [13,14,23,24]). PIV is a common tool for non invasive investigation of velocimetry profiles, see [14] for a detailed description.…”

Section: Methodsmentioning

confidence: 99%

“…The evaluation of the velocities is done with a computer, where a mean velocity with respect to time is always calculated. Particle Image Velocimetry has been used to analyse the velocity profile [13], and a detailed description of the use of Particle Image Velocimetry with granular flows can be found in [14].…”

Section: Introductionmentioning

confidence: 99%

Silo Discharge: Measurement and Simulation of Dynamic Behavior in Bulk Solids

Böhrnsen¹,

Antes²,

Ostendorf³

et al. 2004

Chem Eng & Technol

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This paper deals with the experimental investigation and the numerical simulation of silo discharge processes, including dynamic interactions between the silo filling and the elastic silo walls. The discharge process is described by a system of nonlinear differential equations. Via the Finite Element Method (FEM) based on an EULERian reference frame, the deformation rate, the velocity field, the porosity, and the stress distribution can be calculated without the need of re-meshing the FE-grid. To compare simulation results with measured data, the numerical simulation examples are chosen to be similar to an experimental test-silo of the Institute of Mechanical Process Engineering at the Technical University of Braunschweig. Optical measurement techniques are applied to investigate the flow profile, and load cells on the silo walls register the stress evolution, e.g., a stress peak (switch) moving from the outlet to the transition from hopper to shaft.

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“…Optical flow analysis techniques, such as Particle Tracking Velocimetry [20] or Particle Image Velocimetry [21], are susceptible to dust development in the pipe and are typically employed for certain applications only. Other measurement principles, such as using microphones to record acoustic emissions generated by fine powder flow and granular material [22] or the use of Venturi meter [23], have been reported, but are typically designed and optimized for specific conditions to be found in certain processes.…”

Section: State Of the Art In (Gas-)solids Flow Meteringmentioning

confidence: 99%