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Lotfi, Mohammad, Tokhmechi, Behzad. (1398). Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory. , 53(2), 165-174. doi: 10.22059/ijmge.2019.267783.594763
Mohammad Lotfi; Behzad Tokhmechi. "Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory". , 53, 2, 1398, 165-174. doi: 10.22059/ijmge.2019.267783.594763
Lotfi, Mohammad, Tokhmechi, Behzad. (1398). 'Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory', , 53(2), pp. 165-174. doi: 10.22059/ijmge.2019.267783.594763
Lotfi, Mohammad, Tokhmechi, Behzad. Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory. , 1398; 53(2): 165-174. doi: 10.22059/ijmge.2019.267783.594763

Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory

International Journal of Mining and Geo-Engineering
مقاله 9، دوره 53، شماره 2، اسفند 2019، صفحه 165-174    اصل مقاله (1.24 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/ijmge.2019.267783.594763
نویسندگان
Mohammad Lotfi* 1؛ Behzad Tokhmechi2
1Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
2Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology
چکیده
In this paper, the ranking of joint roughness coefficients (JRC) profiles as well-known acceptable pattern for studying rough surfaces are investigated. For this purpose, dimension of digitized profiles was measured using fractal-wavelet based methods. Digitization of these profiles and detection of asperities has been done at a distance of 0.02 mm. The fusion of obtained results from various data fusion methods including Clone-proof Schwartz Sequential Dropping (CSSD) and graph theory with approach of scientific phenomenology showing that current trend of roughness profiles needs to be corrected. In fact, some of the exemplar profiles unlike the appearance, have a different roughness than others. This approach changes awareness about roughness as a challenging parameter. Therefore, robust answer was obtained with logical look of data fusion and presenting a new ranking for JRC profiles (JRCN).
کلیدواژه‌ها
Asperity؛ Clone-Proof Schwartz Sequential Dropping؛ Data Fusion؛ Fractal-Wavelet based Methods؛ JRC
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تعداد مشاهده مقاله: 503
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