| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
The surface texture parameters such as the skewness Ssk and kurtosis Sku are sensitive to outliers on the surface. Hence, these values tend to be very unstable and the application of these parameters has been limited in engineering practice. To overcome these difficulties, this research seeks to develop a robust method to estimate these parameters. Firstly, the Pearson distribution type IV was fit to the height distribution of surface textures. Then the values of Ssk and Sku were calculated on the fitted distribution parameters. Results showed that, in case of the computationally generated datasets, Ssk and Sku calculated from the fitted distribution parameters are closer to the theoretical values than those calculated directly form the datasets. However, with regard to the actual surfaces, there were some discrepancies between the fitted curve and actual height distribution. Contact simulation based on the boundary element method was also studied.
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