수치적 방법을 이용한 3차원 거친 표면의 마모 해석

It is essential to predict the amount of wear and surface parameters for a surface where relative motion occurs. In the asperity-based model for wear prediction, only the average contact pressure can be obtained. Hence, the accuracy of wear analysis is poor. In this study, DC-FFT is used to obtain t...

Full description

Saved in:
Bibliographic Details
Published inTribology and Lubricants Vol. 36; no. 4; pp. 232 - 243
Main Authors 김윤지(Yunji Kim), 서준호(Junho Suh), 김봉준(Bongjun Kim), 유용훈(Yonghun Yu)
Format Journal Article
LanguageKorean
Published 한국트라이볼로지학회 2020
Subjects
Online AccessGet full text
ISSN2713-8011
2713-802X
DOI10.9725/kts.2020.36.4.232

Cover

More Information
Summary:It is essential to predict the amount of wear and surface parameters for a surface where relative motion occurs. In the asperity-based model for wear prediction, only the average contact pressure can be obtained. Hence, the accuracy of wear analysis is poor. In this study, DC-FFT is used to obtain the pressure of each node, and wear analysis is performed by considering the effect of the pressure gradient. The numerical surface generation method is used to create Gaussian, negatively skewed, and positively skewed surfaces for wear analysis. The spatial and height distributions of each surface are analyzed to confirm the effectiveness of the generated surface. Furthermore, wear analysis is performed using DC-FFT and Archard's wear formula. After analysis, it is confirmed that all peaks are removed and only valleys remain on the surface. The RMS roughness and Sk continue to decrease and Ku increases as the cycle progresses. It is observed that the surface parameters are significantly affected by the radius of curvature of the asperity. This analysis method is more accurate than the existing average wear and truncation models because the change in asperity shape during the wear process is reflected in detail.
Bibliography:KISTI1.1003/JNL.JAKO202026252144705
http://Journal.tribology.kr
ISSN:2713-8011
2713-802X
DOI:10.9725/kts.2020.36.4.232