Modelling and simulation of raw material blending process in cement raw mix milling installations

2014 ◽  
Vol 92 (11) ◽  
pp. 1882-1894 ◽  
Author(s):  
Dimitris Tsamatsoulis
Keyword(s):  
Modelling And Simulation ◽  
Raw Material ◽  
Blending Process ◽  
Cement Raw Mix

Computer Control of Raw Material Blending for the Cement Industry

1968 ◽  
Vol 1 (5) ◽  
pp. T87-T90 ◽  
Author(s):  
S. C. K. Young
Keyword(s):  
Computer Control ◽  
Minimum Cost ◽  
Cement Industry ◽  
Raw Material ◽  
Material Flows ◽  
Water Addition ◽  
Control Scheme ◽  
On Line ◽  
Blending Process ◽  
Control Water

The principles of blending control are explained with particular reference to a control scheme currently being implemented by G.E.C. Computers & Automation Ltd. for Skanska Cement AB at their Limhamn cement works. The control principles can, however, be applied to other blending plants. The Limhamn blending process is briefly described in order to give an appreciation of the control problems involved. The computer, instrumentation and X-ray analysing systems are outlined. The iterative optimiser is explained. This calculates set points for the material flows which, when implemented, result in manufacture of slurry with correct chemical composition at minimum cost. On-line regulating techniques which control the blending machinery are described. The regulating programmes maintain material flows at their calculated set point values. They also control water addition in order to keep slurry water content constant. Distinct advantages are to be obtained by the separate implementation of the optimising calculations or the regulating control, but the two are complementary, and to obtain maximum benefits, a computer control scheme should include both.

scholarly journals Mathematical modeling of a cement raw-material blending process using a neural network

2016 ◽  
Vol 50 (4) ◽  
pp. 485-490 ◽  
Author(s):  
Aysun Egrisogut Tiryaki ◽  
Recep Kozan ◽  
Nurettin Gokhan Adar
Keyword(s):  
Neural Network ◽  
Mathematical Modeling ◽  
Raw Material ◽  
Blending Process ◽  
Cement Raw Material

Integrated Automation System for Weighing and Blending Process Based on DCS

2009 ◽  
Author(s):  
Xiangchen Ku ◽  
Wei Ma ◽  
Ling Ling ◽  
Jishun Li
Keyword(s):  
Control System ◽  
Process Control ◽  
Production Management ◽  
Production Efficiency ◽  
Raw Materials ◽  
Computer Control ◽  
Integrated System ◽  
Raw Material ◽  
Automation System ◽  
Blending Process

Weighing and blending process is an important step of industrial and agricultural production. Traditionally, the simplest way of weighing and blending is to weigh the variety of raw materials manually and mix them together. There are some disadvantages of this method, such as measuring inaccurate, low productivity and labor-intensive. The comparatively advanced method is making use of the computer control technology to realize automatic weighing and blending according to predetermined formula. According to the production characteristics and technological requirements of a certain chemical product, an integrated control system of weighing and blending for liquid raw material based on DCS (Distributed Control System) is developed in this paper. The system is composed of IPC (Industrial Personal Computer), ADAM data acquisition modules, weighing sensor and execution unit. The 485 bus is adopted to transmit data between the different equipments. With the support of SQL Server 2000, the process control and production management of weighing and blending are realized with C++ builder 6.0. The integrated system can be divided into three subsystems, namely, the process control subsystem, the production monitoring subsystem and the production information management subsystem. The application result indicates that this system improves the production efficiency and stabilizes the production process.

scholarly journals Raw Material Variability and Its Impact on the Online Adaptive Control of Cohesive Powder Blend Homogeneity Using NIR Spectroscopy

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 568 ◽  
Author(s):  
Guolin Shi ◽  
Bing Xu ◽  
Zhiqiang Zhang ◽  
Chan Yang ◽  
Shengyun Dai ◽  
...  
Keyword(s):  
Latent Variable ◽  
Near Infrared ◽  
Process Analytical Technology ◽  
Nir Spectroscopy ◽  
Active Pharmaceutical Ingredient ◽  
Raw Material ◽  
Critical Material ◽  
Critical Material Attributes ◽  
Blending Process ◽  
Cohesive Powders

It is significant to analyze the blend homogeneity of cohesive powders during pharmaceutical manufacturing in order to provide the exact content of the active pharmaceutical ingredient (API) for each individual dose unit. In this paper, an online monitoring platform using an MEMS near infrared (NIR) sensor was designed to control the bin blending process of cohesive powders. The state of blend homogeneity was detected by an adaptive algorithm, which was calibration free. The online control procedures and algorithm’s parameters were fine-tuned through six pilot experiments and were successfully transferred to the industrial production. The reliability of homogeneity detection results was validated by 16 commercial scale experiments using 16 kinds of natural product powders (NPPs), respectively. Furthermore, 19 physical quality attributes of all NPPs and the excipient were fully characterized. The blending end time was used to denote the degree of difficulty of blending. The empirical relationships between variability of NPPs and the blending end time were captured by latent variable modeling. The critical material attributes (CMAs) affecting the blending process were identified as the particle shape and flowability descriptors of cohesive powders. Under the framework of quality by design (QbD) and process analytical technology (PAT), the online NIR spectroscopy together with the powder characterization facilitated a deeper understanding of the mixing process.

scholarly journals Modeling and Optimization of Cement Raw Materials Blending Process

2012 ◽  
Vol 2012 ◽  
pp. 1-30 ◽  
Author(s):  
Xianhong Li ◽  
Haibin Yu ◽  
Mingzhe Yuan
Keyword(s):  
Interior Point Method ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Raw Materials ◽  
Raw Material ◽  
Constraint Optimization ◽  
Nonlinear Constraint ◽  
Blending Process ◽  
Ratio Optimization ◽  
Cement Raw Material

This paper focuses on modelling and solving the ingredient ratio optimization problem in cement raw material blending process. A general nonlinear time-varying (G-NLTV) model is established for cement raw material blending process via considering chemical composition, feed flow fluctuation, and various craft and production constraints. Different objective functions are presented to acquire optimal ingredient ratios under various production requirements. The ingredient ratio optimization problem is transformed into discrete-time single objective or multiple objectives rolling nonlinear constraint optimization problem. A framework of grid interior point method is presented to solve the rolling nonlinear constraint optimization problem. Based on MATLAB-GUI platform, the corresponding ingredient ratio software is devised to obtain optimal ingredient ratio. Finally, several numerical examples are presented to study and solve ingredient ratio optimization problems.

Sign in / Sign up

Export Citation Format

Share Document