Journal
This paper explores the potential of leveraging Artificial Intelligence (AI) technologies, including Model Predictive Control and Machine Learning ...
| Issue №2, 2025 |
| Section: Automation of production |
| Keywords: cement kiln, thermal substitution rate, TSR, carbon dioxide, CO2, model predictive control, MPC, Artificial intelligence, AI, Machine learning, ML |
| Autor: O.P. Verma, M.K. Singh. |
The process of cement manufacturing is intricate, involving significant energy consumption, emissions, and costs. Concerns about the environmental...
| Issue №4, 2024 |
| Section: Application of cement |
| Keywords: artificial intelligence, machine learning, AI, ML, digitalization |
| Autor: A.K. Kanojia. |
The article deals with the experience of using machine learning to stabilize the supply of gas fuel to a rotary clinker kiln. The mathematical model h...
| Issue №6 |
| Section: Automation of production |
| Keywords: clinker burning, rotary kiln, main drive stabilization, machine learning, recommendation system, kiln operator |
| Autor: O.B. Gatilov, A.A. Serykh, A.S. Tokarev. |
In 2010 the Danish company FLSmidth, with cooperation from the journal Cement and its Applications, donated a workstation and ECS/CEMulator commercial...
| Issue №5, 2011 |
| Section: Automation of production |
| Keywords: learning, cement production process simulation, software complex |
| Autor: M.E. Voronkov. |