“KonsOM SKS” JSC (Magnitogorsk, Russia):

Ishmetyev E. N., Dr. Eng., Director on Strategic Development
Chistyakov D. V., Cand. Soc., Executive Director
Panov A. N., Cand. Eng., Ass. Prof., Head of Dept. of Innovations

Nosov Magnitogorsk State Technical University (Magnitogorsk, Russia):
Bodrov E. E., Cand. Eng., Ass. Prof., Chair of Electronics and Microelectronics,

Magnitogorsk Iron and Steel Works (Magnitogorsk, Russia):
Rabadzhi D. V., Prof

E-mail (common): fortheartist@mail.ru

At present time, an oxygen converter process is one of the most widespread steel making processes. Often it uses steel scrap as a refrigerant. This occur because of the facts that chemically pure steel scrap has high technological properties and is a production waste which requires recycling. One of the important technological parameters of the steel scrap metal used in basic oxygen furnace is its bulk density. It can affect the steel production yield and process stability in the furnace. That is why there is a need to control the bulk density of the steel scrap in a peel before putting it into the furnace. The bulk density can be calculated using information about its volume and weight. Finding the weight of the scrap-metal does not cause any difficulties because converter shop is equipped with a scale designed to weight peel with scrap-metal in it. On the other hand, finding the volume of the steel scrap that had been placed in the peel is a much more difficult problem. In order to solve that problem specialists of CJSC “KonsOM SKS” conducted experiments directed to measure the steel scrap volume using 3D-camera with time-of-fl ight sensor in oxygen converter shop at OJSC “Magnitogorsk Iron and Steel Works”. The camera allows to measure the distance between camera itself and a surface of scrapmetal in the peel. Then that distance can be used to calculate scrap-metal surface height above the peel bottom that in turn also is a surface with known distance from it to the camera. This paper presents calculation of steel scrap-metal volume in the peel using the distances obtained during the experiment. Comparison of different values of the volume obtained for the same peel in various time points showed that error caused by 3D-camera’s measurement inconstancy lies within 5% limits. The obtained volume values can further be used to calculate bulk density of the scrap.

1. Kolesnikov Yu. A., Bigeev V. A., Sergeev D. S. Calculation of technological parameters of smelting became in the converter with use of various coolers. Teoriya i tekhnologiya metallurgicheskogo proizvodstva. 2014. No. 2(15). pp. 45–48.
2. Makarova E. A., Peristyy M. M. Problems of converter steel production and ways of solving of scrap-metal deficiency. Environmental protection and rational use of natural resources. Collection of reports of the XXIII All-Ukrainian scientific conference of post-graduate students and students. Donetsk: DonNTU, DonNU, 2013. Vol. 2. pp. 158–159.
3. Shelyagovich A. V. Development of modes of metal charging formation in oxygen converter using composite materials and investigation of their influence on technological indicators of steel smelting : Dissertation … of Candidate of Engineering Sciences. Moscow, 2005. 211 p.
4. Möller T., Kraft H., Frey J., Albrecht M., Lange R. Robust 3D measurement with PMD sensors. Proceedings of the 1^st Range Imaging Research Day at ETH. Zurich, Switzerland, 2005.
5. Q. Xu, Y. Huang, L. Xing, Z. Tian, Z. Fei and L. Zheng. A fast method to measure the volume of a large cavity. IEEE Access. 2015. pp. 1555–1561. DOI: 10.1109/ACCESS.2015.2476661.
6. Chincholkar Y. D., Bangadkar S. A Review of ToF PMD Camera. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 2015. Vol. 4, Iss. 5. pp. 4142–4149. DOI: 10.15662/ijareeie.2015.0405058.
7. Paterikin V. I. Optical sounding methods for screen means of measurement of spatial parameters of 3D objects surface in the real time. Interekspo Geo-Sibir. 2015. No. 2. pp. 44–48.
8. Krysin D. Yu., Nebylov A. V. Application of time-of-flight pmd-cameras for distance measurement to water surface. Nauchno-tekhnicheskiy vestnik informatsionnykh tekhnologiy, mekhaniki i optiki. 2013. No. 2 (84). pp. 33–39.
9. Rutkovskiy V. O., Rutkovskaya M. A. Method of obtaining of 3D numerical models of technical objects, based on application of artificial textures. Vestnik SibGAU. 2010. No. 5. pp. 249–254.
10. Berkovic G., Shafir E. Optical methods for distance and displacement measurements. Advances in Optics and Photonics 4. 2012, pp. 441–471. DOI: 10.1364/AOP.4.000441.
11. Huddart Y. R. Non-contact free-form shape measurement for coordinate measuring machines, dissertation, Heriot-Watt University, 2010.
12. Sklyarenko M. S. Accuracy estimation of object tracking methods for identification of 2D-coordinates and velocities of mechanical systems based on digital photography data. Kompyuternaya optika. 2015. No. 1. pp. 125–135.
13. Borminskiy S. A., Solntseva A. V., Skvortsov B. V. A method for optoelectronic control of liquid volume in a tank. Kompyuternaya optika. 2016. Vol. 40, No. 4. pp. 552–559.
14. Wilczkowiak M., Boyer E., Sturm P. Camera Calibration and 3D Reconstruction from Single Images Using Parallelepipeds. 8^th International Conference on Computer Vision (ICCV ‘01). Vancouver, Canada. IEEE Computer Society, 1. pp. 142–148, 2001.
15. Criminisi A., Reid I., Zisserman A. Single View Metrology. University of Oxford, 1999.
16. O3M150. Photoelectric sensors for objects identification. Available at: https://www.ifm.com/products/ru/ds/O3M150.htm (accessed: 05.05.2016).
17. Luan X. Experimental investigation of Photonic Mixer Device and development of TOF 3D ranging systems based on PMD technology, dissertation, University of Siegen, 2001.