[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Boikov et al., 2018 - Google Patents

DEM Calibration Approach: design of experiment

Boikov et al., 2018

View PDF
Document ID
7144233822100159197
Author
Boikov A
Savelev R
Payor V
Publication year
Publication venue
Journal of Physics: Conference Series

External Links

Snippet

The problem of DEM models calibration is considered in the article. It is proposed to divide models input parameters into those that require iterative calibration and those that are recommended to measure directly. A new method for model calibration based on the design …
Continue reading at iopscience.iop.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5086—Mechanical design, e.g. parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00—Indexing scheme relating to computer aided design [CAD]
    • G06F2217/46—Fuselage
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/0202—Control of the test
    • G01N2203/0212—Theories, calculations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058—Kind of property studied
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
    • G01N23/02—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00—Indexing scheme relating to computer aided design [CAD]
    • G06F2217/16—Numerical modeling

Similar Documents

Publication Publication Date Title
Boikov et al. DEM Calibration Approach: design of experiment
Kawamoto et al. Level set discrete element method for three-dimensional computations with triaxial case study
Coetzee Calibration of the discrete element method: Strategies for spherical and non-spherical particles
Coetzee Particle upscaling: Calibration and validation of the discrete element method
Markauskas et al. Maize grain shape approaches for DEM modelling
Salazar et al. Modeling the direct shear test of a coarse sand using the 3D Discrete Element Method with a rolling friction model
Coetzee et al. Discrete element parameter calibration and the modelling of dragline bucket filling
Mousaviraad et al. Calibration and validation of a discrete element model of corn using grain flow simulation in a commercial screw grain auger
Saeed et al. Mixing study of non-spherical particles using DEM
Ghodki et al. DEM simulation of flow of black pepper seeds in cryogenic grinding system
Mohajeri et al. DEM calibration of cohesive material in the ring shear test by applying a genetic algorithm framework
Geer et al. A more efficient method for calibrating discrete element method parameters for simulations of metallic powder used in additive manufacturing
Desai et al. A rheometry based calibration of a first-order DEM model to generate virtual avatars of metal Additive Manufacturing (AM) powders
Tan et al. Automated measurement of the numerical angle of repose (aMAoR) of biomass particles in EDEM with a novel algorithm
Govender et al. Validation of the GPU based BLAZE-DEM framework for hopper discharge
Boikov et al. DEM calibration approach: orthogonal experiment
Nasato et al. Predicting the behavior of granules of complex shapes using coarse-grained particles and artificial neural networks
Radvilaitė et al. Determining the shape of agricultural materials using spherical harmonics
Kanakabandi et al. Determination of properties of black pepper to use in discrete element modeling
Tekeste et al. Discrete element model calibration using multi-responses and simulation of corn flow in a commercial grain auger
Liu et al. Effect of particle type on the shear behaviour of granular materials
Horvath et al. Viscoelastic contact model development for the discrete element simulations of mixing process in agitated drum
Boikov et al. DEM calibration approach: implementing contact model
Wangchai et al. The investigation of particle flow mechanisms of bulk materials in dustiness testers
Le Investigation of force transmission, critical breakage force and relationship between micro-macroscopic behaviors of agricultural granular material in a uniaxial compaction test using discrete element method