A novel and simple approach for characterizing the Young’s modulus of single particles in a soft matrix by nanoindentation

Leisen, D.; Kerkamm, Ingo; Bohn, E.; Kamlah, Marc

doi:10.1557/jmr.2012.391

Cited by 21 publications

(9 citation statements)

References 23 publications

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“…Furthermore it can be difficult to relate these measurements to models implemented in DEM. A few attempts have been made to measure the Young's modulus of single particles [22,23], the yield stress [24] and interfacial energy using atomic force microscopy [25,26]. A common approach is to choose the DEM input parameters by calibrating the DEM model against bulk global measurements and then to adjust these input parameters until the outputs match the experimental, usually macroscopic, observations [27].…”

Section: Introductionmentioning

confidence: 99%

Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis

et al. 2015

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Selection or calibration of particle property input parameters is one of the key problematic aspects for the implementation of the discrete element method (DEM). In the current study, a parametric multi-level sensitivity method is employed to understand the impact of the DEM input particle properties on the bulk responses for a given simple system: discharge of particles from a flat bottom cylindrical container onto a plate. In this case study, particle properties, such as Young's modulus, friction parameters and coefficient of restitution were systematically changed in order to assess their effect on material repose angles and particle flow rate (FR). It was shown that inter-particle static friction plays a primary role in determining both final angle of repose and FR, followed by the role of inter-particle rolling friction coefficient. The particle restitution coefficient and Young's modulus were found to have insignificant impacts and were strongly cross correlated. The proposed approach provides a systematic method that can be used to show the importance of specific DEM input parameters for a given system and then potentially facilitates their selection or calibration. It is concluded that shortening the process for input parameters selection and calibration can help in the implementation of DEM.Keywords Discrete element method · DEM input parameters · DEM calibration · Parameter sensitivity analysis Electronic supplementary material The online version of this article (

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Section: Introductionmentioning

confidence: 99%

Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis

et al. 2015

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“…Different methods have been derived in order to characterize more complex materials such as composites. Kamlah et al [9] adapted extrapolation models used for thin films to particle-matrix composites. Ulm et al [10,11] used statistical deconvolution of indentation grids in order to extract properties of each phase.…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties of commercial LixMn2O4 cathode under different States of Charge

et al. 2015

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“…In a particle-reinforced composite, nanoindentation on the particle could provide insight into the properties of the reinforcement [8][9][10][11][12][13]. Delincé et al [14] conducted nanoindentation tests on both ferrite and martensite phases of dual phase steels to determine their strengthening contributions.…”

Section: Introductionmentioning

confidence: 99%

“…Yan et al [9,10] found that the Oliver-Pharr method can still be used to measure the particle's Young's modulus with sufficient accuracy within a particle-dominated indentation depth. Leisen et al [13] used continuous stiffness measurement to reduce the amount of error caused by using the Oliver-Pharr method to measure the Young's modulus of a particle embedded in a soft matrix.…”

Section: Introductionmentioning

confidence: 99%

Theoretical study on nanoindentation hardness measurement of a particle embedded in a matrix

Low

Pun

Yan

2015

Philosophical Magazine

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The finite element method was used to simulate indentation tests on a particle embedded in a matrix, to investigate the influence of the properties of the particle and the matrix, and the indentation depth on the measured hardness. The particle's work-hardening exponent and the mismatch in particle and matrix yield strength have a significant influence on the measured hardness. A particle-dominated indentation depth was identified, within which the measured nanoindentation hardness agrees very well with the true hardness of the particle material. Numerical results from the simulations of a wide range of material properties determined that the measured hardness is within 5% difference of the particle's true hardness when the indentation depth is less than 13.5% of the particle's radius. The results can be used in practice as a guideline to measure the hardness of a particle embedded in a matrix and provides the theoretical basis to develop a particle-embedded method to measure the hardness of individual particles.

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A novel and simple approach for characterizing the Young’s modulus of single particles in a soft matrix by nanoindentation

Abstract: Abstract

Cited by 21 publications

References 23 publications

Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis

Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis

Mechanical properties of commercial LixMn2O4 cathode under different States of Charge

Theoretical study on nanoindentation hardness measurement of a particle embedded in a matrix

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