Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University of Tehran
2019-12-01
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| Series: | International Journal of Mining and Geo-Engineering |
| Subjects: | |
| Online Access: | https://ijmge.ut.ac.ir/article_73082_33603962cd2d7fab0746c149f8bfebf3.pdf |
| _version_ | 1811240901814517760 |
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| author | Mohammad Lotfi Behzad Tokhmechi |
| author_facet | Mohammad Lotfi Behzad Tokhmechi |
| author_sort | Mohammad Lotfi |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-04-12T13:27:49Z |
| format | Article |
| id | doaj.art-ef67b1af042c4dc0ad5fe113d487561c |
| institution | Directory Open Access Journal |
| issn | 2345-6949 |
| language | English |
| last_indexed | 2024-04-12T13:27:49Z |
| publishDate | 2019-12-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | International Journal of Mining and Geo-Engineering |
| spelling | doaj.art-ef67b1af042c4dc0ad5fe113d487561c2022-12-22T03:31:16ZengUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-69492019-12-0153216517410.22059/ijmge.2019.267783.59476373082Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph TheoryMohammad Lotfi0Behzad Tokhmechi1Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, IranFaculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of TechnologyIn 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).https://ijmge.ut.ac.ir/article_73082_33603962cd2d7fab0746c149f8bfebf3.pdfasperityclone-proof schwartz sequential droppingdata fusionfractal-wavelet based methodsjrc |
| spellingShingle | Mohammad Lotfi Behzad Tokhmechi Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory International Journal of Mining and Geo-Engineering asperity clone-proof schwartz sequential dropping data fusion fractal-wavelet based methods jrc |
| title | Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory |
| title_full | Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory |
| title_fullStr | Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory |
| title_full_unstemmed | Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory |
| title_short | Paradigm Shift in Studying Joint Micro-Roughness Coefficients using Graph Theory |
| title_sort | paradigm shift in studying joint micro roughness coefficients using graph theory |
| topic | asperity clone-proof schwartz sequential dropping data fusion fractal-wavelet based methods jrc |
| url | https://ijmge.ut.ac.ir/article_73082_33603962cd2d7fab0746c149f8bfebf3.pdf |
| work_keys_str_mv | AT mohammadlotfi paradigmshiftinstudyingjointmicroroughnesscoefficientsusinggraphtheory AT behzadtokhmechi paradigmshiftinstudyingjointmicroroughnesscoefficientsusinggraphtheory |