Preliminary communication
https://doi.org/10.17794/rgn.2022.4.9
LINEAR PROGRAMMING AS A TOOL TO DESIGN THE MIX OF CEMENT PLANT RAW MATERIALS
Mohamed M. Hassan
; Mining and Petroleum Engineering Department. Faculty of Engineering- Qena, 83513 Al-Azhar University, Egypt
Salah A. Bader
; Mining and Petroleum Engineering Department. Faculty of Engineering- Cairo, Al-Azhar University, Egypt
Mahrous A. Ali
; Mining and Petroleum Engineering Department. Faculty of Engineering- Qena, 83513 Al-Azhar University, Egypt
Wael R. Abdellah
; Department of Mining and Metallurgical Engineering, Faculty of Engineering, Assiut University, Assiut, Egypt, 71515
Gamal S. Abdelhaffez
; Department of Mining and Metallurgical Engineering, Faculty of Engineering, Assiut University, Assiut, Egypt, 71515; Department of Mining Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
Abstract
This study uses linear programming to develop a methodology for selecting the best raw material mix in an ASCOM cement plant in Egypt. In cement factories, this type adheres to Egyptian chemical composition criteria for raw feed (e.g. 82.5% calcium carbonate, 14.08% silica, 2.5% alumina and 0.92% iron oxide). Furthermore, the model is bound by industry-specific characteristics (e.g. lime saturation factor, silica modulus, alumina modulus and loss of ignition). The results reveal that the model is able to accurately reproduce the mixing of high-quality feed with varying constituent percentages. It is also capable of determining the combining limitations of each ingredient. Furthermore, it demonstrates optimality for additive sourcing short-term planning and capping limestone quality to meet changeable component combinations. Additionally, improving the raw mix reduces limestone feed quality from 51 to 50.6%, resulting in the inclusion of extra limestone reserves.
Keywords
raw mix; cement industry; linear programming; blending operations
Hrčak ID:
281534
URI
Publication date:
24.8.2022.
Visits: 1.490 *