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Test Results Concerning Mechanical - Abrasive - Corrosive Wear

机译:关于机械研磨 - 腐蚀磨损的测试结果

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摘要

In the paper we present an experimental test result concerning simultaneous mechanical -abrasive - corrosive wear. In order to get acquainted with the quantitative relations between the results, being the effects of simultaneous occurring of destructive abrasion and corrosion processes at the occurrence of interactions the solid phase playing the role of the abrasive material in tribological connections is considered. The theoretical model describing the wear intensity can be presented as the sum of components being the effect of mechanical, corrosive, abrasive interactions and their mutual interactions. The interaction component requires a detailed explanation. The effects of interactions of processes such as the abrasive and mechanical, abrasive and corrosive ones and the simultaneous influence of abrasive and corrosive and mechanical process control over relations among all the components are presented. The plan of tests was based on statistic methods of planning the multifactor experiments. The experiment results were presented in the form of the mathematical model presenting the quantitative description of effects of physically occurring phenomena and processes. The tests were performed on a modernized universal friction machine. The effect of the application of the artificial neural network is a neural model describing the complex processes of simultaneous mechanical, abrasive and corrosive wear.
机译:本文介绍了一个关于同时机械 - 腐蚀性磨损的实验测试结果。为了熟悉结果之间的定量关系,考虑了在相互作用发生时同时发生的磨损和腐蚀过程的影响,考虑了扮演磨料材料在摩擦学关系中的实体相位。描述磨损强度的理论模型可以呈现为机械,腐蚀性,磨料相互作用及其相互作用的效果的组分和。交互组件需要详细的解释。介绍了诸如磨料和机械,磨蚀性和腐蚀性和腐蚀性和腐蚀性的过程的相互作用以及磨料和腐蚀性和机械过程对所有部件之间关系的同时影响。测试计划是基于规划多因素实验的统计方法。实验结果以数学模型的形式提出,呈现了物理发生现象和过程的效果的定量描述。测试是在现代化的通用摩擦机上进行的。人工神经网络应用的效果是一种神经模型,其描述了同时机械,磨料和腐蚀性磨损的复杂过程。

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