OBRABOTKAMETALLOV Vol. 23 No. 4 2021 27 TECHNOLOGY Т а б л и ц а 3 Ta b l e 3 Значенияобрабатываемости взависимостиот входных параметров Machinability values vs input parameters Глубина от поверхности / Depth from surface Объемная доля перлита , Vvp / Volume fraction of pearlite, Vvp Объемная доля графита , Vvg / Volume fraction of Graphite, Vvg Среднийразмер пластинок графита в мм , Sg / Average size of graphiteflakes in mm, Sg Показатель обрабатываемости , M/ Machinability Index, M 0,5 65,73 15,44 3,559 304,0129 1,0 44,41 12,43 5,315 300,9336 1,5 49,98 12,43 5,680 295,0068 2,0 52,02 9,70 5,249 259,2040 2,5 67,30 13,56 5,091 284,6398 3,0 66,51 14,77 6,055 302,6858 3,5 57,57 15,16 5,175 317,5972 Рис . 3. Обрабатываемость наразнойглубине от границыразделаМ – М Fig. 3. Machinability at different depth fromM–Minterface 8. Collins T.J. Image for microscopy // Biotechniques. – 2007. – Vol. 43 (S1). – P. S25–S30. 9. Kaur D., Kaur Y. Various image segmentation techniques: a review // International Journal of Computer Science and Mobile Computing. – 2014. – Vol. 3 (5). – P. 809–814. 10. Dhanachandra N., Chanu Y.J . Image segmentation method using k-means clustering algorithm for color image // Advanced Research in Electrical and Electronic Engineering. – 2015. – Vol. 2 (11). – P. 68–72. 11. Yedla M., Pathakota S.R., Srinivasa T.M. Enhancing K-means clustering algorithm with improved initial center // International Journal of Computer Science and Information Technologies. – 2010. – Vol. 1 (2). – P. 121–125. 12. Dhanachandra N., Manglem K., Chanu Y.J. Image segmentation using K-means clustering algorithm and subtractive clustering algorithm // ProcediaComputer Science. – 2015. – Vol. 54. – P. 764–771. 13. Mode Inference using enhanced Segmentation and Pre-processing on raw Global Positioning System data / A. Nawaz, H. Zhiqiu, W. Senzhang, Y. Hussain, A. Naseer, M. Izhar, Z. Khan // Measurement and Control. – 2020. – Vol. 53 (7–8). – P. 1144–1158. 14. Application of digital image processing for implementation of complex realistic particle shapes/
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