冲洗油去除组件表面沉积物的扩散动力学理论

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computation Pub Date : 2023-08-20 DOI:10.3390/computation11080164

M. Vigdorowitsch, V. Ostrikov, Alexander N. Pchelintsev, I. Pchelintseva

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引用次数: 0

摘要

介绍了用冲洗油清洗内燃机等部件的扩散动力学理论。通过侵蚀动力学描述了发动机表面和润滑油系统中焦油沉积物的演变。揭示了沥青矿床周围水动力(亚)层的浓度随时间变化规律。推导了非线性方程，解释了实验观察到的油污冲刷关系，并及时指出了幂律。作为参考，已经完成了基于形式化学动力学的类似分析。讨论了有利于两种机理的因素和精练参数。对扩散动力学或化学动力学的任何偏好都应以仔细选择冲洗油中的清洗剂为基础。提出了今后的研究方向。

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Diffusion Kinetics Theory of Removal of Assemblies’ Surface Deposits with Flushing Oil

The diffusion kinetics theory of cleaning assemblies such as combustion engines with flushing oil has been introduced. Evolution of tar deposits on the engine surfaces and in the lube system has been described through the erosion dynamics. The time-dependent concentration pattern related to hydrodynamic (sub)layers around the tar deposit has been uncovered. Nonlinear equations explaining the experimentally observed dependences for scouring the contaminants off with the oil have been derived and indicate the power law in time. For reference purposes, a similar analysis based on formal chemical kinetics has been accomplished. Factors and scouring parameters for the favor of either mechanism have been discussed. Any preference for either diffusion or chemical kinetics should be based on a careful selection of washing agents in the flushing oil. Future directions of studies are proposed.

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来源期刊

Computation Mathematics-Applied Mathematics

CiteScore

3.50

自引率

4.50%

发文量

201

审稿时长

8 weeks

期刊介绍： Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.