2020
DOI: 10.1002/mma.6739
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Unified mathematical model of the kinetics of nanoparticle phase condensation in magnetic fields

Abstract: In this paper, we aim to present a unified mathematical modeling and description of the kinetics of magnetic nanoparticles phase condensation (conducting to the appearance of bulk elongated aggregates) under homogeneous permanent or alternating magnetic field. For such case, the aggregate growth rate usually takes the form dV/dt = G(V)∆(t), with V and t being the aggregate's volume and time, respectively, ∆(t)—the supersaturation of the nanoparticle suspension, and with the function G(V) depending on the preci… Show more

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Cited by 2 publications
(2 citation statements)
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“…It should be noted that our experimental setup does not allow detecting the aggregates of the size lower than ∼1 μm. However, the recent theoretical model 39 predicts a considerable increase of the minimal agglomerate size with time such that nanosized aggregates likely disappear at elapsed times t approximately larger than the agglomeration time scale τ a (determined below). We believe therefore that the chosen optical microscopy method gives a relevant picture of the aggregate size distribution at least at times t ≥ τ a .…”
Section: ■ Results and Discussionmentioning
confidence: 98%
“…It should be noted that our experimental setup does not allow detecting the aggregates of the size lower than ∼1 μm. However, the recent theoretical model 39 predicts a considerable increase of the minimal agglomerate size with time such that nanosized aggregates likely disappear at elapsed times t approximately larger than the agglomeration time scale τ a (determined below). We believe therefore that the chosen optical microscopy method gives a relevant picture of the aggregate size distribution at least at times t ≥ τ a .…”
Section: ■ Results and Discussionmentioning
confidence: 98%
“…7b. Such a shift is typically reproduced by the model considering only the aggregate growth mechanism ignoring the coalescence [Kuzhir et al (2020)]. This allows us to suppose that the relative contribution of coalescence in the present model is overestimated especially at short times, possibly due to approximations ̇∝ (1 − 〈 〉) [Eq.…”
Section: E Size Distributionmentioning
confidence: 84%