The study and prediction of the wear behaviors of different hardness substrate cladded with different wear resistance material

碩士 === 國立臺灣科技大學 === 機械工程技術研究所 === 86 ===   This thesis aims at studying the wear behaviors of wurface plating materials. In this experiment, we use the hardened and unhardened. medium carbon steel in S45C as a substrate to evaluate the wear resistance of electroless nickel. plated chromium and rhod...

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Bibliographic Details
Main Author: 蔡上達
Other Authors: 林原慶
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/15875834923877227235
Description
Summary:碩士 === 國立臺灣科技大學 === 機械工程技術研究所 === 86 ===   This thesis aims at studying the wear behaviors of wurface plating materials. In this experiment, we use the hardened and unhardened. medium carbon steel in S45C as a substrate to evaluate the wear resistance of electroless nickel. plated chromium and rhodium under different plating thickness, loading and sliding speed. The scanning electronic microscope (SEM) is employed to identify the fail mode of the worn surface and the EDAX is used to judge the residual state of plated materials on the rubbed surface. The neural network predicts the weight lost.   The result shows that the hardened and unhardened substrate, under the high temperature due to rubbing effect, prompte to the wear resistance performance of the plated surface. To plate the surface of rhodium is suitable for the condition that the low loading and slow sliding speed. Plated hardened chromium and electroless nickel will exert significan influence on oxidation reaction. On condition that the substrate is hard enough to suppport the plated layer and oxides layer, the wear rate will decrease with the high sliding speed but increase as the hevy load is applied. The neural network is very reliable to predicting the wear loss and can be estimate the life of mechanical elements under the certain worn loss for some function design.