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Skip to Search Results- 3Finite element modelling
- 2Metal matrix composite coating (MMC)
- 1Abrasive wear
- 1Artificial neural networks (ANNs)
- 1Johnson-cook model
- 1Johnson-holmquist model
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Computational investigation of the effect of microstructure on the scratch resistance of tungsten-carbide nickel composite coatings
Download2021-08-15
Parsazadeh, Mohammad, Fisher, Gary, McDonald, André, Hogan, James D.
Sliding wear was simulated for tungsten carbide-nickel (WC-Ni) composites with different WC particle sizes and volume fractions under various normal forces. Johnson-Cook and Johnson-Holmquist models were employed to simulate the mechanical behaviour of the Ni and WC phases, respectively. Using...
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Computational modelling of the effect of microstructure on the abrasive wear resistance of tungsten-carbide nickel composite coatings under sub-critical cyclic impact loading
Download2022-05-15
Parsazadeh, Mohammad, Fisher, Gary, McDonald, André, Hogan, James D.
Abrasive wear was simulated for tungsten carbide-nickel (WC–Ni) composite coatings with different volume fractions of reinforcing particles under abrasive cyclic loading. Using parallelized computing approaches, for the first time in the literature, the effects of reinforcing particle and normal...
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Spring 2015
Flexible electrode arrays are a crucial technology for neural interfaces. In this thesis, the continued development of a flexible based electrode array is discussed. Two types of strain relief are introduced into the leads to allow the base to deform like the spinal cord in a repeatable manner....