Experimental Studies of the Process of Crushing Coal Charge on Hammer Mill with the View of Introducing Technologies and Products 4.0 at the Industrial Enterprises
- https://doi.org/10.2991/aebmr.k.200318.014How to use a DOI?
- coal charge, hammer mill, granulometric composition, energy costs
In conditions of fierce competition in the market of mining and metallurgical products the need to reduce its cost, which is achievable through optimization power consumption. One way to solve this problem, in conditions transformation of industrial clusters and technology development 4.0, is energy optimization through the development of digital production models processes based on functional dependencies of power consumption on design, kinematic and dynamic parameters of equipment, as well as characteristics of processed raw materials. To solve this problem on the developed physical model of hammer crusher studies have been conducted to determine the power spent on crushing the coal charge and overcoming the resistance rotation of its rotor from a dusty coal atmosphere, and a check was also performed the adequacy of existing analytical dependencies to calculate appropriate energy costs. As a result of studies, it was found that the discrepancy between calculated and experimental values does not exceed 6.. 11%, also a correction factor is determined that takes into account the influence of the grate on calculated power.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Popolov Dmitry AU - Zaitsev Gennady AU - Zaselskiy Igor AU - Velitchenko Vladimir AU - Konovalenko Vadim AU - Kormer Marina PY - 2020 DA - 2020/03/23 TI - Experimental Studies of the Process of Crushing Coal Charge on Hammer Mill with the View of Introducing Technologies and Products 4.0 at the Industrial Enterprises BT - Proceedings of the III International Scientific Congress Society of Ambient Intelligence 2020 (ISC-SAI 2020) PB - Atlantis Press SP - 110 EP - 115 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200318.014 DO - https://doi.org/10.2991/aebmr.k.200318.014 ID - Dmitry2020 ER -