In this work we used the profilogramms of surfaces, which were gained after the surface was processed (coarsened) with abrasive paper of 24, 36, 40, 60 and 100 numbers. We assessed fractal dimensions of all profilogramms and founded dependence of fractal dimension on abrasive paper number. We found that the more is the coarse of the surface the smaller is fractal dimension. As we didn’t want to do experiment which ask many resources – we modeled theoretically researched profilogramms–fractals, calculated and modeled dimensions of fractal profilogramms. We created programmable tools for theoretical research: the profilogramms-fractals models of adequate surfaces, also examined fractal dimensions of modeled profilogramms. With every profilogramm which has adequate fractal dimension we modeled the surface and calculated his area. We applied the linear regression model for logarithmic data and founded the interrelation between the area or the surface and fractal dimension.
Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2005~D_20050627_121625-86882 |
Date | 27 June 2005 |
Creators | Mežanec, Jolita |
Contributors | Janilionis, Vytautas, Navickas, Zenonas, Rudzkis, Rimantas, Barauskas, Arūnas, Pekarskas, Vidmantas Povilas, Aksomaitis, Algimantas Jonas, Valakevičius, Eimutis, Valantinas, Jonas, Saulis, Leonas, Kaunas University of Technology |
Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Technology |
Source Sets | Lithuanian ETD submission system |
Language | Lithuanian |
Detected Language | English |
Type | Master thesis |
Format | application/pdf |
Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050627_121625-86882 |
Rights | Unrestricted |
Page generated in 0.002 seconds