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Showing 81 - 100 results of 4,621 for search '(( layer processing modes ) OR ( layer processing models ))', query time: 0.29s Refine Results
  1. 81

    Prediction of Heat Transfer Characteristics of the Carbonized Layer of Resin-Based Ablative Material Based on the Finite Element Method by Junjie Gao, Jijun Yu, Haitao Han, Daiying Deng

    Published 2019-01-01
    “…The microstructure of the carbonized layer of the low-density resin-based ablative thermal insulation material is observed, and multiscale unit cell models are established for the residual carbon deposition mode of a carbonization process, and then the thermal conductivity coefficient is predicted using the finite element method. …”
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    Macro-Mesoscopic Failure Mechanism Based on a Direct Shear Test of a Cemented Sand and Gravel Layer by Long Qian, Xingwen Guo, Qinghui Liu, Xin Cai, Xiaochuan Zhang

    Published 2024-12-01
    “…Through the analysis of the fracture evolution process in the numerical simulation, it is found that the fracture of the sample at the mortar interface mainly expands along the mortar–aggregate interface and the damage mode is shear slip. …”
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    Intensification of Foam Layered Apparatus by Foam Stabilization by Liaposhchenko O., Khukhryanskiy О., Moiseev V., Ochowiak M., Manoilo Е.

    Published 2018-11-01
    “…The series of experimental dependencies for the main parameters of the process are given. The possibility of effective mass-exchange processes in an intensive foam layer on counter-current coarse-grating lattices is confirmed. …”
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    Article
  11. 91

    Quantifying the oscillatory evolution of simulated boundary-layer cloud fields using Gaussian process regression by G. L. Oh, P. H. Austin

    Published 2025-07-01
    “…Identifying this behaviour, however, remains difficult due to the intrinsic variability within the boundary-layer cloud field. We apply a Gaussian process (GP) machine-learning model to the regression of the oscillatory behaviour in the statistical distributions of individual cloud properties. …”
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  12. 92

    Assessment of Surface Roughness of Non-Metallic Materials during Laser Processing by V. A. Alekseev, A. V. Usoltseva, V. P. Usoltsev, S. I. Yuran

    Published 2024-07-01
    “…Data on the depth of ablation for wood, bone, leather, plexiglass are presented, graphs of the correlation between the amount of surface micro unevenness and the density of materials, between the amount of surface micro-roughness and the modulus of elasticity of materials, the correlation coefficient between the amount of surface micro unevenness and the ignition temperature of organic materials. The obtained models make it possible to implement the proposed principle of laser processing of non-metallic materials, which consists in measuring the modulus of elasticity of the surface of the material and, based on the measurements obtained, control the modes of laser processing of products. …”
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  13. 93

    A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks by Benedetta Picano, Dinh Thai Hoang, Diep N. Nguyen

    Published 2025-01-01
    “…This mutual selection process minimizes inference latency in the learning process and models the bubble time as game externalities, assuming a sequential pipeline execution. …”
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    Modeling of elastic plastic deformation of near-surface layers of materials by Villiy A. Mekheda

    Published 2024-10-01
    “…Special attention is paid to the processes occurring in the surface layers. The model takes into account the increasing tightness of shear deformations deep into the material. …”
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    Solving the Nonstationary Problem of the Disperse Phase Concentration during the Pneumoclassification Process of Mechanical Mixtures by Pavlenko I. V., Yukhymenko M. P., Lytvynenko A. V., Bocko J.

    Published 2019-07-01
    “…As a development of this study, a physical model based on the process of kinetic removal from the mixture was used. …”
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  19. 99

    Mathematical approaches for track analysis and process optimization in additive manufacturing by Mahdi Alishavandi, Rahmi Ünal, Metin Uymaz Salamci

    Published 2025-07-01
    “…Abstract Additive manufacturing demands precise control of track formation and process parameters. Here we show a unified mathematical framework that links key variables to track geometry: we derive analytical expressions for solid and liquid contact angles, introduce dimensionless wetting shape factors to compute segment area and volume, and develop quadratic models relating powder layer thickness to track width and height. …”
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