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Simulation of Cement Grinding Process for Optimal Control of SO3…, Chem D. TSAMATSOULIS, Simulation of Cement Grinding Process for Optimal Control of SO3…, Chem. Biochem. Eng. Q., 28 (1) 13–25 (2014) 13 Simulation of Cement Grinding Process for Optimal Control of SO3 Content * D. Tsamatsoulis Original scientific paper Halyps Building Materials S. A., Italcementi Group, Received: April 25, 2013 17th Klm Nat. Rd. Athens – Korinth, 19300, Greece Accepted: July 31, 2013 The control of cement grinding/mixing process in an industrial mill regarding SO3 content has been effectively simulated taking into account all its fundamental sides and particularities. Based on a simulator, two controllers of different philosophy have been studied: A classical proportional-integral (PI) controller as well as a nonlinear one (step changes, SC) consisting of certain classes of SO3 output ranges that result in certain lev- els of discrete corrections of gypsum feed. Initially, the simulator was implemented for grinding of a single cement type each time. Totally, three cement types were investigated. The controllers have been parameterized and compared using the minimal standard devi- ation of SO3 as a criterion. Both provided satisfactory SO3 consistency, but PI was more efficient against SC as with the double sampling period, the same minimum standard deviation was obtained leading to equal results with half the sampling actions. The sim- ulation was also realized in milling of several cement types. A feedforward part was added to the feedback loop to face the case of cement type changing. The results of op- eration of this kind of controller in an industrial milling system contribute greatly to the improvement in cement quality. Key words: Regulation, cement, sulphates, dynamics, mill, grinding, uncertainty, simulation Introduction addition of an excessive amount of gypsum leads to detrimental expansion of concrete and mortar. Cement is produced by co-grinding clinker, The optimum gypsum content in cement has gypsum and other components defined in the Ce- been investigated by several researchers due to its ment Standards like limestone, pozzolans, fly ash importance. Lerch,3 in his excellent study, found and slag. The grinding is usually performed in hor- that the optimum sulphates content in cement, with izontal ball mills. Gypsum is typically the basic respect to mortar strength, is closely related to vari- source of sulphates (SO3) in the cement. The effect ous parameters like hydration heat, length changes of gypsum on the cement quality is critical and two- of mortar specimens cured in water, alkalis, C3A fold. It affects two of the main properties of this content, and cement fineness. The influence of SO3 product, setting time and strength.1 For this reason on the hydration of the cement mineral phases has gypsum is added during cement grinding in the mill been investigated by several researchers.3–6 Soroka feeding, requiring a weight feeder of high accuracy. et al.4 concluded that gypsum accelerates the rate of Clinker is mainly composed of four mineral phases: hydration, when its addition is below the optimum Tricalcium silicate (3CaO ∙ SiO2 or C3S), dicalcium SO3 content, but produces significant retardation silicate (2CaO ∙ SiO2 or C2S), tricalcium aluminate when the addition exceeds the optimum. Jansen 5 (3CaO ∙ Al2O3 or C3A) and tetracalcium alumino- et al. analysed the changes detected in the phase 2 ferrite (4CaO ∙ Al2O3 ∙ Fe2O3 or C4AF). Bogue in composition during the hydration process. They an historical study, established the mathematical concluded that the cement phases involved in the formulae for the calculation of the clinker com- aluminate reaction (bassanite, gypsum, anhydrite pounds – C3S, C2S, C3A, C4AF – and presented data and C3A) reacted successively. Several researchers for the heat of hydration of these compounds. have also investigated the impact of limestone addi- During cement hydration, one of its main mineral tion to the hydration process and sulphates opti- phases, tricalcium aluminate, reacts with water at a mum.7–8 Tsamatsoulis et al.9 determined the effect high rate, which could result in a false set. Gypsum of cement composition and mortar age on the opti- addition slows down this fast and exothermic reac- mum sulphates content using as criterion the maxi- tion and false set is prevented during the concrete mization of compressive strength. Extensive exper- production, transfer and placing. Conversely, the imentation has been performed to achieve this purpose by utilizing four cement types and measur- *Corresponding author: e-mail: [email protected] ing the strength at ages ranging from 2 days up to 14 D. TSAMATSOULIS, Simulation of Cement Grinding Process for Optimal Control of SO3…, Chem. Biochem. Eng. Q., 28 (1) 13–25 (2014) 63 months. The compressive strength is correlated Process simulation with the ratio of sulphates to clinker content, SO3/CL. Odler10 presented a review of existing correlations The control and regulation of grinding process between cement strength and basic factors related to regarding the SO3 content is performed by sampling several properties of the cement and clinker. One of cement in the mill outlet, measuring the SO3 con- these factors is the sulphates content of the cement. tent, and changing the gypsum percentage in the Kheder et al.11 found also a significant correlation cement feed composition. The simulation involves between strength and cement SO3 content in their all the basic components of the process: The trans- multivariable regression model. fer functions of SO3 within the mill circuit, cement While extensive literature exists about the posi- sampling and measurement, and the control func- tion of the optimum SO3 and its relation with several tion applied. A simplified flow sheet, showing the cement characteristics, there is limited information basic components of a closed grinding system is about the regulation of gypsum in the actual produc- presented in Fig. 1. The raw materials via weight tion process, so that the values of SO3 are continu- feeders are fed to the ball mill (CM). The product ously near the target. Such research is provided by of the mill outlet is directed through a recycle Dhanial et al.12 by studying the automatic control of elevator to a dynamic separator. The high fine- cement quality using on-line XRD. Efe13 also, by de- ness stream of the separator constitutes the final veloping a multivariable control of cement mills in product, while the coarse material returns to CM the aim to control the process, states that the SO3 to be ground again. The block diagram and trans- content is one of the main parameters determining to fer functions of the grinding process concerning what extent the final product satisfies desired specifi- the control of SO3 content are shown in Fig. 2. cations. For the cement industry, it is not sufficient to The blocks represent the subsequent sub-processes: find the optimum gypsum content in the laboratory: GP = mixing of materials inside the milling installa- Such research must then be applied to the industrial tion; GS = cement sampling; GM = SO3 measure- scale process. The objective of this study is to inves- ment; GC = controller. The signals of the feedback tigate the control functions for regulation and control of the sulphates content in industrial cement milling. Optimization (i.e. parameter identification) of control functions was performed by simulating the grinding process in cement mill No 6 (CM6) of Halyps plant regarding the sulphates content. Actual analyses of the raw materials had been taken into account, in- cluding their uncertainty. Three cement types conforming to the norm EN 197–1 : 2011 were utilized: CEM A-L 42.5 N, CEM II B-M (P-L) 32.5 N, CEM IV B (P-W) 32.5 N. Their characteristics according to the mentioned norm are Fig. 1 – Closed circuit grinding system provided in Table 1. The results of Tsamatsoulis9 models, derived from the same cement types pro- duced in the same plant, were also taken into account to determine the SO3 target per cement type. Table 1 – Cement types conforming to EN 197–1:2011 CEM Type Composition and Strength A-L 42.5 B-M (P-L) IV B (P-W) N 32.5 N 32.5 N %Clinker ≥80 ≥65 ≥45 %Fly Ash ≤55 %Pozzolane ≤35 %Limestone ≤20 Maximum %SO3 3.5 3.5 3.5 Minimum 28 days Strength 42.5 32.5 32.5 (MPa) Gypsum is not included in the composition but added according to SO3 target Fig. 2 – Block diagram of the SO3 regulation feedback loop D. TSAMATSOULIS, Simulation of Cement Grinding Process for Optimal Control of SO3…, Chem. Biochem. Eng. Q., 28 (1) 13–25 (2014) 15 loop are denoted with the following symbols: %G, as follows: Gypsum SO3 is assumed constant for a %CL, %FA = percentage of gypsum, clinker and time interval TConst,G, not exactly determined, but fly ash respectively. %SO3 = cement sulphates. considered to be within the interval [TMin,G, TMax,G]. %SO3_S, % SO3_M = SO3 of the sampled and Then, by utilizing a random generator, a number, measured cement correspondingly. %SO3_T = x, between 0 and 1 is selected. To find the inter- sulphates target. e = %SO3_T – %S O3_M. d = val of constant SO3 of gypsum, formula (1) is ap- plied. feeders disturbances. n = noise of the SO3 measure- ment. (TTMax., G Min G 1) TConst, G Int (1) Description of the simulator xTMin, G Three raw materials contain SO3: Clinker, The calculation of the periods T is continued gypsum and fly ash. A complete series of analyses Const,G until TT In case this sum is greater, the has been considered and the mean values and Const, G Tot last T is truncated to be TT . standard deviations of sulphates have been comput- Const,G Const, G Tot ed to be used in the simulation. When gypsum is The next step is to determine the SO3 of gyp- changing, pozzolane or limestone is changing si- sum fed during TConst,G.
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