The Study On Wear Based On Wear Similar Date And Uniform Design

The paper studies the wear statistic discipline from the system perspetive, direct analysis of the wear results (wear rate or wear mass) form the actual wear process, wear prediction equation closer to the actual wear of wear disciplines. Probability theory, mathematical statistics and experimental design theory used in wear prediction, so the wear prediction equation is more scientific, the predicted results is more reliable. Wear date applications on a powerful method of nonlinear capacity of neural network analysis is a feasible method. This study covers the following aspects:(1) Obtain modeling sample by the collection of wear date, select and transformate the different experimental conditions, to eliminate the influence of some factors, convert the date to from the same parent, and improve the regularity and availability of date.(2) By analyzing the mechanism of boundary lubrication, select the maximum load without bite (PB), material hardness (HV), stress (p) and velocity (v) as the factors to experiment, it is an explorition to build models of wear under boundary lubrication.(3) Several kinds of experimental design are reviewed, and the design by uniform distribution is found which is specially fitted for wear experiments. It can be adapted to even more factor levels, reduce further times of wear experiment, and make the statistical result of the experimental data fine. The design by uniform distribution will provide scientific basis for the standardization of the wear experiments.(4) According to the wear date sample, using regression statistical methods and neural network methods to establish wear model. Wear prediction models under dry and boundary lubrication are established by the date processing software SPSS13.0and Matlab Neural Network Toolbox. Upon test, the models are highly significant and certain predictability.(5) Finite element analysis was used tostudy the stress distribution of the contact of pin-disc at different times, clearer understanding of cause and process of wear; using scanning electron microscopy observe the worn surface, to analysis the wear mechanisim under boundary lubrication.(6) Raliability and fuzzy random reliability mehods were used to calculate the wear reliability under boundary lubrication model, to evaluate the wear resistance of the part.