2017
DOI: 10.1021/acsami.7b01237
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Thermostat Influence on the Structural Development and Material Removal during Abrasion of Nanocrystalline Ferrite

Abstract: We consider a nanomachining process of hard, abrasive particles grinding on the rough surface of a polycrystalline ferritic work piece. Using extensive largescale molecular dynamics (MD) simulations, we show that the mode of thermostatting, i.e., the way that the heat generated through deformation and friction is removed from the system, has crucial impact on tribological and materials related phenomena. By adopting an electron-phonon coupling approach to parametrize the thermostat of the system, thus includin… Show more

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Cited by 36 publications
(27 citation statements)
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“…[7][8][9][10] In recent NEMD simulations, Langevin thermostats 59 with a range of coupling times (0.5-50 ps) were tested to reproduce the experimental thermal conductivity of α-Fe surfaces. 64 In the current simulations, the Langevin thermostat in the bottom slab was assigned a coupling time of 0.1 ps, by which a thermal conductiv-ity similar to α-Fe surfaces (as a model for steel) was simulated. 64 In the first set of simulations, the top slab was also given a coupling time of 0.1 ps, yielding symmetrical systems with relatively efficient thermal dissipation.…”
Section: Simulation Proceduresmentioning
confidence: 99%
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“…[7][8][9][10] In recent NEMD simulations, Langevin thermostats 59 with a range of coupling times (0.5-50 ps) were tested to reproduce the experimental thermal conductivity of α-Fe surfaces. 64 In the current simulations, the Langevin thermostat in the bottom slab was assigned a coupling time of 0.1 ps, by which a thermal conductiv-ity similar to α-Fe surfaces (as a model for steel) was simulated. 64 In the first set of simulations, the top slab was also given a coupling time of 0.1 ps, yielding symmetrical systems with relatively efficient thermal dissipation.…”
Section: Simulation Proceduresmentioning
confidence: 99%
“…64 In the current simulations, the Langevin thermostat in the bottom slab was assigned a coupling time of 0.1 ps, by which a thermal conductiv-ity similar to α-Fe surfaces (as a model for steel) was simulated. 64 In the first set of simulations, the top slab was also given a coupling time of 0.1 ps, yielding symmetrical systems with relatively efficient thermal dissipation. 32 In the second set of simulations, unsymmetrical systems in which one of the surfaces had much lower thermal conductivity compared to steel (e.g.…”
Section: Simulation Proceduresmentioning
confidence: 99%
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“…CuNi is an ideal alloy system in which both constituents form an isomorphous system without phase precipitation, where the stacking fault energy varies by a factor of three between pure Cu and Ni, and a fast and reliable force field exists that allows a treatment using MD [30]. For the correctness and transferability of the deformation mechanism map, it is important to achieve temperature gradients that realistically reflect the macroscopic heat conductivity of the sample [31]. Due to the small size of the modeled systems (layer thickness of 40 nm), they can only self-consistently increase their temperature due to friction by 100-150 K at the surface.…”
Section: Introductionmentioning
confidence: 99%