The Experimental Prediction Model of Wear Rate of Steel Materials

碩士 === 國立臺灣大學 === 機械工程學系 === 86 === The Falex machine is used to perform the pin-on-disc tests of tool steel SK3. By observing the oxide film on the surface, a prediction model is presented to relate the wear rate to the input load. Its explanation is al...

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Bibliographic Details
Main Authors: Chuang, Chia-Yu, 莊佳瑜
Other Authors: H. So
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/08898780604759387600
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Summary:碩士 === 國立臺灣大學 === 機械工程學系 === 86 === The Falex machine is used to perform the pin-on-disc tests of tool steel SK3. By observing the oxide film on the surface, a prediction model is presented to relate the wear rate to the input load. Its explanation is also included in this article. To distinguish the mild and severe oxidational wear, besides of gathering the recording temperature and the height of the pin, the surface roughness and profile equipment is also used to observe the pin-on-disc tests. All the results above are closely related to the thickness of oxide. To calculate the real contact temperature, the oxide thickness and the hot hardness declining factors are considered. Combine the two factors, and compare with the melt point and transition temperature. It comes to a reasonable prediction of the flash temperature. By cutting the pin and using the microscopic, we can measure the thickness of the oxide film. An exponential fitting curve is used to relate the thickness of oxide to the load. Putting the factor of oxide thickness into the process of prediction model, the wear rate is determined. Compare the prediction with the experimental results, the difference is small only over some restricted nominal stress, in other words, where the mild oxidational region dominate. The experimental prediction model is not applicable when not in the mild oxidational region.