Application of digital image processing technique in the microstructure analysis and the machinability investigation

OBRABOTKAMETALLOV Vol. 23 No. 4 2021 27 TECHNOLOGY Т а б л и ц а 3 Ta b l e 3 Значения обрабатываемости в зависимости от входных параметров Machinability values vs input parameters Глубина от поверхности / Depth from surface Объемная доля перлита , V vp / Volume fraction of pearlite, V vp Объемная доля графита , V vg / Volume fraction of Graphite, V vg Средний размер пластинок графита в мм , S g / Average size of graphite fl akes in mm, S g 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 на разной глубине от границы раздела М – М Fig. 3. Machinability at different depth from M–M interface 8. Collins T.J. Image for microscopy // Biotechni- ques. – 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 segmen- tation 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/