Stochastic modelling of BD nucleation Amit Weiss, Eli Engelberg, Yinon Ashkenazy Racah Institute of Physics, Hebrew University, Jerusalem, Israel.

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Presentation transcript:

Stochastic modelling of BD nucleation Amit Weiss, Eli Engelberg, Yinon Ashkenazy Racah Institute of Physics, Hebrew University, Jerusalem, Israel

PSB -> protrusions Previously observed in fatigued surfaces. Significant sub-surface PSB leading to these surface features. Stochastic response at sub- yield stresses. M. Goto et al. Int J of Fatigue. Vol 30 (2008) 1333 Fatigue strength and formation behavior of surface damage in ultrafine grained copper with different non-equilibrium microstructures J.Man et al, Phil Mag 89 (2009) 1295 Laurent et.al. Phys Rev STAB 14 (2011) 41001

Trying to validate and calibrate a model Model for plastic deformation under high fields Microscopy of features post BD Identifying pre-BD features Dark current measuremnts Acoustic emission

What are we looking for?

0d mean field mobile dislocations model Mean field - Single slip plane. Define the “in-plane” mobile dislocations density (1/nm). Protrusions forming on surface due to dislocations arriving to surface Elastic interaction between dislocations Field enhancement due to protrusion leads to increase in localized stress Simulating up to creation of a runaway process which will lead to eventual tip evaporation Not yet in… Surface evolution – leads to hardening due to cellular structure interaction between sites

The master equation can lead to bifurcation: a metastable state and a critical one. We look for the quasi-stationary probability distribution function And the probability to cross the critical point (reach extinction) General gain-loss type Markovian processes n-1 n n+1 Approximate solution based on WKB theory with 1/N being the small parameter. Assaf and Meerson, PRE 2010 Rates for transition between states

Model basics Mobile dislocation multiply: o Activate sources o Release sessile dislocations at pile-ups o Protrusion effect on stress and temperature Mobile dislocations depletion o Collision - obstacles, other moving dislcaoitns, surface Protrusion form due to accumulation of dislocations but relax through diffusion (a kinetic factor) The problem – multi physics + multi parameters o First trials – use what we have o Better trials- learn what we need

Low fields: Mobile dislocation density remains at Metastable region. Dynamic barrier decreases with increasing fields. Up to a critical stress – bifurcation to two solutions. Above it - no meta-stable state solution. Applied field effect d  /dt < 0

Parametrization

Cell size derived from microscopy Still no clear differentiation between diamond machining effect and recrystallization Clear top layer modifications including region with twins, slip bands localized reliefs…

Parameter space – kmc simulations full model validity range – using kmc

Parameter space – kmc simulations full model validity range – using kmc

Effect of kinetic relaxation parameter Relaxation kinetics (surface diffusion) defines two limits: a.Fast– surface topography follows mobile dislocations content. b.Slow– surface builds up even at metastable state of mobile dislocations. Minimal stress No relaxation Fast relaxation ~10 -7

Evolution trajectories Dynamics of surface protrusions shows relation between surface protrusions and mobile dislocations.

We get a power law…. (E^30)….

Signs of criticality Adiabatically moving between quasi- stationary PDF: Change in pdf moments with field -> identify threshold At specific conditions, probe time dependencies of the QS pdf: Identify large fluctuations time dependency -> identify time constants -> mechanism

PRE-BD signals As the system approaches the critical point. Fluctuation diverge. Observable through standard deviation of the time correlation Or, more generally, autocorrelation in the signal

Reminder - Observations until now... DC and RF indications of pre-breakdown increase in dark current variance DC data – Iaroslava Profatilova Tomoko Muranaka RF data - Alberto Degiovanni

Field dependent fluctuations Monitoring FN allows direct access to the protrusion population, and therefor show pre BD increase. Time scale of fluctuations - indicative to the dynamic timescale. To compare.. We need to describe run away evolution!

Current Effort Improve parameterization. Acoustic signal prediction Combine functional input on: o kinetics of smoothing o Thermal stresses Quantify conditioning effect Precipitates / impurities effect Questions: Kill mechanism for sub-BD events. Limiting parameter space Supporting experimental info? Can fluctuation be identified? Post runaway evolution… Will you attend mevarc 2017?!

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