Next Article in Journal
Calculation Method for Failure Pressure of Oil and Gas Pipelines with Multiple Corrosion Defects
Previous Article in Journal
Production of Self-Supporting Hollow Carbon Nanofiber Membranes with Co/Co2P Heterojunctions via Continuous Coaxial Co-Spinning for Efficient Overall Water Splitting
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Influencing Factors in the Preparation Process of Solid Waste-Based Ternesite Sulphoaluminate Cement

1
School of Civil Engineering, Shandong Jiaotong University, Jinan 250357, China
2
Shandong Key Laboratory of Technologies and Systems for Intelligent Construction Equipment, Jinan 250357, China
3
The First Company of China Eighth Engineering Bureau Ltd., Jinan 250100, China
*
Authors to whom correspondence should be addressed.
Coatings 2025, 15(7), 773; https://doi.org/10.3390/coatings15070773
Submission received: 20 May 2025 / Revised: 27 June 2025 / Accepted: 29 June 2025 / Published: 30 June 2025

Abstract

Based on a novel ternesite sulphoaluminate cement (NTSAC), the effects of various influencing factors on the calcination of clinker were studied, including mineral composition of clinker, grinding fineness of raw materials, molding technology of samples, and cooling methods of clinker. The research was carried out by taking the calcination system and mineral content of clinker as evaluation indexes, and using RSM and QXRD as analytical means. The results indicate that the optimal calcination temperature of clinker varies with the design mineral composition, while the holding time remains basically unchanged. Clinker with high CaSO4 content has a relatively lower calcination temperature. The use of a calcination system of 1175 °C-49 min can control the mineral content error of the cement below 15%. Moreover, the molding pressure, molding methods, grinding fineness of raw materials, and cooling methods of clinker have significant effects on the clinker preparation to varying degrees, with the order of influence from high to low being molding methods, grinding fineness of raw materials, molding pressure, and cooling methods of clinker. Within the range of experimental parameters, the better preparation conditions are compression molding (molding method), 15 MPa (molding pressure), and 20 μm (grinding fineness). The above research conclusions provide reference data for cement preparation in the laboratory, offering useful guidance for developing novel types of cement.

1. Introduction

Cement plays an important role in modern infrastructure construction, and with its excellent bonding and hardening properties, it has become an indispensable key material for constructing various types of buildings. However, the large-scale production of cement has caused problems such as the shortage of mineral resource and environmental pollution [1,2]. For the sustainable development of the cement industry, low-carbon cement composed of low-calcium minerals [3,4,5,6] and prepared from solid waste [7,8,9,10] has become a research hotspot. In the research and development process of low-carbon cement, it often needs to go through the laboratory stage, industrial test stage, and industrial production stage. In each stage, there are complex and diverse factors involved, including the quality of raw materials [11,12,13], molding technology of raw materials [14,15], and calcination conditions of clinker [16,17,18]. These factors are intertwined and play a decisive role in the final properties of low-carbon cement. The importance of the laboratory stage as the primary link is self-evident, it provides important reference data and theoretical support for the subsequent stages, so it is of great significance to investigate the effects of influencing factors on cement calcination in this stage.
Generally, the main purpose of laboratory research is to obtain the optimal calcination system and the theory of mineral formation. For specific raw materials, the factors that affect experimental results mainly include the mineral composition of clinker, grinding fineness of raw materials, molding technology of samples, and cooling methods of clinker. At present, there have been some studies on the factors affecting cement calcination, but they are not systematic and universal. Research on the cooling mode is common in cement preparation. Relevant studies [19,20] believe that slow cooling can easily lead to the transformation of β-C2S to γ-C2S in clinker and the increase in the grain size of clinker minerals, so that the cement strength obtained by slow cooling is significantly lower than that obtained by rapid cooling. Some research [21] also shows that the change of cooling mode will have a certain impact on the content of various minerals. The molding of raw materials is an indispensable part of cement preparation in the laboratory. Currently, the molding method adopted in the laboratory mainly includes compression molding, spherical molding, and powder direct use of untreated molding. However, different molding methods may lead to different calcination systems, and existing research [14] has shown that the calcination temperature of powdered materials is lower than that of spherical materials. In addition, for the most commonly used compression molding, although the molding pressures used in various studies [15,22] all fall within the range of 5–20 MPa, they are not identical. This inconsistency leads to variations in the cement calcination system, which fails to provide reliable reference benchmarks for future research. Raw material grinding is an extremely important step in the cement production process, and the purpose of raw material grinding is to make the raw material fineness suitable for the preparation of clinker. At present, the fineness requirement for raw materials used in the preparation of cement in the laboratory is generally 80 μm square hole sieve with a residue of less than 5% or 10%, but there is no unified standard. Of course, some studies [23,24] have explored the effect of grinding technology on clinker calcination and the effect of raw material fineness on burnability. The results suggest that the finer the raw material, the better its combustibility, the lower the content of free calcium oxide in clinker, and the faster the reaction rate. However, none of the aforementioned studies have analyzed the effect of fineness on the actual mineral content of clinker. The proportion of raw materials is an important factor affecting cement calcination, and the correct proportion of raw materials is necessary to prepare the target clinker of the set minerals. Studying the calcination system of cement clinker with different mineral compositions can reflect the adaptability of this type of cement to a specific calcination system. Su [25] prepared high belite sulphoaluminate cement (HBSAC) with different mineral compositions and studied the effect of mineral composition on the calcination process of cement clinker. The results indicate that the optimal calcination system is basically the same for different mineral composition groups. However, the mineral formation process varies from different types of cement, so the rules obtained from the above research are not universal.
In order to further understand the effects of influencing factors on the calcination of cement in the laboratory, and based on the laboratory preparation research of ternesite sulphoaluminate cement (NTSAC), the influence of key factors such as the clinker mineral composition of clinker, grinding fineness of raw materials, molding technology of samples, and cooling methods of clinker on mineral content and calcination system is systematically analyzed. Among them, the mineral content is determined by QXRD analysis [26,27], and the optimal calcination system is determined by RSM method [28]. The NTSAC mentioned here is a novel solid waste-based sulphoaluminate cement developed by our research group. Its calcination system is below 1200 °C, with a holding time of less than 60 min, which is significantly lower than the calcination temperature of ordinary Portland cement at 1350–1450 °C, and sulphoaluminate cement at 1250–1350 °C. The difference in holding time is not significant, usually between 30–60 min. In addition, the successful preparation of NTSAC has improved the utilization rate of solid waste such as petroleum coke ash, reduced the use of natural gypsum and limestone, and since the minerals basically do not contain CaCO3, there is almost no decomposition of CaCO3 during the calcination process, which effectively reduces CO2 emissions and alleviates the greenhouse effect. Its detailed preparation method can be found in reference [26]. This study aims to provide new insights into the preparation of cement in the laboratory and offer valuable references for ensuring consistency and comparability of future research results.

2. Experiment

2.1. Experimental Materials

The preparation of NTSAC was carried out under laboratory conditions using three types of solid waste materials, including petroleum coke ash provided by Sinopec Qingdao Petrochemical Co., Ltd., Qingdao, China, fly ash provided by Henan Jinrun New Materials Co., Ltd., Zhengzhou, China, and calcined bauxite provided by Henan Borun Casting Materials Co., Ltd., Gongyi, China. The main chemical and mineral compositions of the raw materials are shown in Table 1 and Figure 1, respectively.

2.2. Experimental Design

In order to reveal the effects of influencing factors on clinker calcination, we conducted the following experimental schemes design. Among them, the influence of mineral composition design is mainly evaluated through changes in the optimal calcination system of clinker, while the influence of other factors is evaluated by observing changes in the mineral content of clinker under the same calcination system.
(1)
Design of control group
In this article, the study on the preparation of NTSAC in reference [26] is selected as the control group, denoted as Group CP. The mineral composition design, experimental conditions, optimal calcination system, and clinker mineral composition of Group CP are shown in Table 2, and its preparation process is shown in Figure 2 [26].
(2)
Design of variable parameters
Based on the Group CP, 5 parameters were selected, including mineral composition of clinker (MC series), cooling methods of clinker (CM series), molding methods (MM series), molding pressure (MF series), and grinding fineness of raw materials (GF series); a total of 11 groups of experiments in 5 series were designed, as shown in Table 3, Table 4, Table 5, Table 6, Table 7 and Table 8.
Table 3. Design content of clinker minerals in each group.
Table 3. Design content of clinker minerals in each group.
Group NumberMC-1CPMC-2
Mineral composition
/%
C 5 S 2 S ¯ 52.54537.5
C 4 A 3 S ¯ 353535
CaSO47.51522.5
C4AF555
Table 4. Raw material mix ratio schemes of MC-1 and MC-2 under different calcination systems.
Table 4. Raw material mix ratio schemes of MC-1 and MC-2 under different calcination systems.
NO.Petroleum Coke Ash
/%
Fly Ash
/%
Calcined Bauxite
/%
MC-1 (1150.00 °C-42.12 min)71.4315.6712.90
MC-1 (1162.50 °C-5.00 min)75.3014.859.86
MC-1 (1190.00 °C-60.00 min)71.1315.2513.62
MC-1 (1190.00 °C-60.00 min)73.2215.0411.74
MC-1 (1190.00 °C-60.00 min)72.7514.5012.75
MC-1 (1207.50 °C-5.00 min)75.2414.809.96
MC-1 (1207.50 °C-50.37 min)71.4315.6712.90
MC-1 (1207.50 °C-5.00 min)75.3014.859.86
MC-2 (1150.00 °C-42.12 min)74.149.7716.09
MC-2 (1162.50 °C-5.00 min)78.399.2812.33
MC-2 (1190.00 °C-60.00 min)73.599.4816.93
MC-2 (1190.00 °C-60.00 min)75.999.3814.64
MC-2 (1190.00 °C-60.00 min)75.179.0015.83
MC-2 (1207.50 °C-5.00 min)78.309.2512.45
MC-2 (1207.50 °C-50.37 min)74.149.7716.09
MC-2 (1207.50 °C-5.00 min)78.399.2812.33
Table 5. Cooling method of each group.
Table 5. Cooling method of each group.
Group NumberCM-1CP
Cooling methodSelf coolingRapid cooling
Note: Self cooling is natural cooling at room temperature (25 ± 5 °C), while rapid cooling is rapid cooling under the fan.
Table 6. Molding method and sample of each group.
Table 6. Molding method and sample of each group.
Group NumberCPMM-1MM-2
Molding methodCompression moldingSpherical moldingPowder direct use of untreated molding
SampleCoatings 15 00773 i001Coatings 15 00773 i002Coatings 15 00773 i003
Note: Spherical molding is obtained by adding proper water to the raw material, rolling it into a ball with a diameter of 1 cm, and then drying. Compression molding is obtained by using a tablet press to compress tablets at 15 MPa, with a diameter of 14 mm × (3~5) mm. Powder direct use of untreated molding is obtained by mixing raw material powder without processing.
Table 7. Molding pressure and sample of each group.
Table 7. Molding pressure and sample of each group.
Group NumberMF-1MF-2CPMF-3
Molding pressure/MPa5101520
SampleCoatings 15 00773 i004Coatings 15 00773 i005Coatings 15 00773 i006Coatings 15 00773 i007
Note: When the pressure reaches 20 MPa, the raw material tablet is prone to delamination and other phenomena, but it does not affect their calcination.
Table 8. Grinding fineness of raw materials of each group.
Table 8. Grinding fineness of raw materials of each group.
Group NumberGF-1CPGF-2
Fineness/μm102030
Note: The fineness in the table is characterized by the median particle size D50 in the particle size analysis results. The difference in fineness is obtained by grinding the raw materials at different times, and the corresponding particle size analysis results are detailed in Figure 3.

2.3. Test Methods

(1) Chemical composition: A Model 1800 X-ray fluorescence spectrometer from Shimadzu, Japan was utilized for the analysis. The testing parameters included a Rh target X-ray tube, with the voltage and current of the tube being 40 kV and 80 mA, a 4 kW thin window, and a scanning speed of 300°/min.
(2) Mineral composition: A D8 Advance X-ray diffractometer from Bruker, Germany was utilized for the analysis. The testing parameters included a Cu target, Kα ray, with the voltage and current of the tube being 40 kV and 40 mA, and the qualitative analysis and quantitative analysis having residence times of 0.05 s and 0.5 s, a scanning range from 5° to 60° for the 2θ angle, and step width of 0.02°. The quantitative analysis (QXRD) of clinker minerals was conducted using FullProf 2020.6 software. The crystallographic data for the relevant minerals applied in Rietveld refinement are presented below: PDF#88-0812 for C5S2 S ¯ , and the space group is Pnma; PDF#71-0969 for C4A3 S ¯ , and the space group is I-43m; PDF#86-0398 for β-C2S, and the space group is p21/n; PDF#99-0010 for CaSO4, and the space group is Amma.

3. Results and Discussion

3.1. The Effect of Mineral Composition on Clinker Calcination

In order to obtain the optimal calcination temperature and holding time for the MC-1 and MC-2 groups, this study referred to the approach of the Group CP in reference [26]. Due to limited space, the verification process of model rationality is not elaborated here, and only the predicted results of the optimal calcination degree based on the numerical function in Design Expert 10.0 software are listed. The variance analysis tables of MC-1 and MC-2 models, as well as the 3D response surfaces and contour plots of MC-1 and MC-2, as shown in Table S1 and Figure S2 of the Supplementary Materials. Table 9 shows the optimal calcination system, wish values, predicted values, and actual values for each group. From the table, it can be seen that the optimal holding time of the three groups is basically the same, while the optimal calcination temperature decreases with the increase in residual CaSO4 content inside. The contour lines of the wish functions for each group are shown in Figure 4. It can be seen from the figure that the maximum wish function values for MC-1, CP, and MC-2 are 0.985, 0.981, and 0.959, respectively, which are all close to 1, indicating strong reliability of the predicted values. When the calcination system is 1175 °C-49 min, the desired function values of each group are ≥0.85, indicating that cement with different mineral compositions can be prepared under this calcination system, and the error between the obtained clinker mineral content and the desired value is less than 15%.

3.2. The Effect of Cooling Methods on Clinker Calcination

Quantitative analysis was conducted on clinker under different cooling methods, and the results are shown in Figure 5a. According to the figure, the content of each mineral in the clinker obtained by the two cooling methods is similar, indicating that both cooling methods have little effect on the mineral content in the clinker. This is significantly different from the cooling method of ordinary sulphoaluminate cement and Portland cement. The reason for this is that there is no C2S in this type of cement clinker, and changing the cooling method will not greatly affect the mineral changes.
In order to determine which cooling method yields the closest mineral composition to the design value, this article analyzes the error between the mineral content of clinker obtained by different cooling methods and the design value, as shown in Figure 5b. The results indicate that the mineral content of clinker under self cooling exhibits a high degree of error, especially for the CaSO4 content (relative error of 4.62%). The errors between the C4A3 S ¯ , C5S2 S ¯ , and CaSO4 content in the clinker obtained by self cooling method and the design value are +0.95%, −2.01%, and +4.62%, while the errors by rapid cooling are +0.67%, +0.82%, and −1.11%, respectively. The average error of mineral content in clinker under self cooling is 2.53%, which is 1.65% higher than that under rapid cooling. Therefore, the optimal cooling method within the experimental range is rapid cooling, but if the accuracy requirement is not high, relative energy-saving self cooling can also be chosen.

3.3. The Effect of Molding Technology of Samples on Clinker Calcination

3.3.1. Molding Method

Quantitative analysis was conducted on the clinker obtained under different molding methods, and the analysis results are shown in Figure 6a. As shown in the figure, different molding methods have a significant impact on the content of C5S2 S ¯ and CaSO4, and a relatively small impact on the content of C4A3 S ¯ . The content of C5S2 S ¯ and C4A3 S ¯ is highest during compression molding, at 47.76% and 37.09%, respectively; the content of C5S2 S ¯ and C4A3 S ¯ is the lowest during powder direct use of untreated molding, at 41.30% and 34.26%, respectively. The content of CaSO4 is highest during powder direct use of untreated molding, reaching 23.44%; the content of CaSO4 is the lowest during compression molding, at 15.62%. This indicates that among the three molding methods of raw materials, the compression molding reaction is the most thorough, followed by spherical molding, and powder direct use of untreated molding is the worst. The reason for the above results is that the raw material particles formed by the powder direct use of untreated molding have larger gaps and smaller contact areas, which significantly hinder thermal conductivity and affect the uniform heating of the raw material. Compared with powder direct use of untreated molding, spherical forming reduces the surface area and volume ratio of raw materials, thereby reducing the surface energy during sintering and improving heating uniformity. However, the improvement in raw material density by spherical molding is relatively small. In contrast, compression molding improves the density of the raw material and the flatness of the tablet surface, which is more conducive to the improvement of thermal conductivity uniformity and the progress of sintering reaction [29,30,31].
In order to explore which molding method can make the obtained clinker composition closest to the design value, error analysis was conducted on the mineral content and design value of clinker obtained under different methods. The analysis results are shown in Figure 6b. From the figure, it can be seen that regardless of the molding method, the error of CaSO4 content in clinker is the largest among the three minerals. The error between the C4A3 S ¯ , C5S2 S ¯ , and CaSO4 content in the clinker obtained by powder direct use of untreated molding and the design values are −6.99%, −12.81%, +48.43%. The errors by spherical forming are −2.56%, −8.90%, and +26.35%, and the errors by compression forming (15 MPa) are +0.67%, +0.82%, and −1.11%. The average errors of each clinker mineral are 12.60% for spherical molding, 0.87% for compression molding, and 22.75% for powder direct use of untreated molding, respectively. It can be seen that the error between the mineral content of the clinker obtained by raw material compression molding and the design value is relatively small, followed by spherical molding and powder direct use of untreated molding. In addition, the scatter points of the compression molding are closer to the zero-error curve, indicating that compression molding is the optimal molding method of raw materials. However, although compression molding is precise, its production efficiency is limited, making it mainly suitable for small-scale sample preparation. When large-scale sample preparation is required, if the error is within the allowable range, spherical forming becomes a feasible alternative that saves time and labor.

3.3.2. Molding Pressure

Quantitative analysis was conducted on cement clinker obtained under different pressures, and the analysis results are shown in Figure 7a. According to the figure, the content of C5S2 S ¯ and C4A3 S ¯ increases with increasing pressure, while the content of CaSO4 decreases with increasing pressure. The reason for this is that as pressure rises, the inter particle forces and density are improved, and the raw material particles are more tightly bound together. This not only makes the reaction more thorough, but also forms a more uniform and compact clinker structure [32,33]. In addition, the increase in pressure allows more CaSO4 to participate in the formation process of minerals, but the difference in mineral content between pressures of 15 MPa and 20 MPa is not significant, indicating that when the pressure reaches a certain level, the promoting effect of pressure on the reaction gradually weakens. At this point, continuing to increase pressure has little effect on mineral content. Zhang’s [15] and Chen’s [22] research found that increasing the molding pressure of raw materials can improve the property of cement, but when the pressure increases to a certain extent, the improvement effect gradually weakens, which is consistent with our research conclusion and confirms the reliability of our research.
In order to explore at which pressure the composition of clinker obtained is closest to the design value, an error analysis was conducted on the mineral content of clinker obtained under different pressures and the design value. The analysis results are shown in Figure 7b. The errors between the C4A3 S ¯ , C5S2 S ¯ , and CaSO4 contents in the clinker obtained under a pressure of 5 MPa and the design values are −5.03%, −4.67%, and +13.29%. The errors under 10 MPa pressure are −4.65%, −3.01%, and +7.36%. The errors under 15 MPa pressure are +0.67%, +0.82%, and −1.11%, and the errors under 20 MPa pressure are +1.64%, +1.15%, and −3.88%. The average errors between the content of C5S2 S ¯ , C4A3 S ¯ , and CaSO4 in clinker obtained under different pressures and the design values are 7.66% (5 MPa), 5.01% (10 MPa), 0.87% (15 MPa), and 2.22% (20 MPa), respectively. As shown in the figure, when the pressure is 15 MPa, the average error between the mineral content obtained and the design value is the smallest, and its scatter points are also closest to the zero-error curve, indicating that 15 MPa is the optimal molding pressure of raw materials. When there are a large number of samples, under the premise of meeting the error range, the molding pressure can also be appropriately reduced to achieve the goal of saving time and improving efficiency.

3.4. The Effect of Grinding Fineness of Raw Materials on Clinker Calcination

Quantitative analysis was conducted on the clinker obtained under a differing grinding fineness of raw materials, and the analysis results are shown in Figure 8a. According to the figure, the finer the raw material, the higher the content of C5S2 S ¯ and C4A3 S ¯ in the obtained clinker, and the lower the content of CaSO4. This indicates that the finer the raw material, the larger the contact area between particles, which is more conducive to diffusion and heat transfer between particles, thereby accelerating the solid phase reaction. The research results of Andres [23] and Briki [24] indicated that the finer the fineness of the raw material, the lower the content of free calcium oxide in its clinker, and it can accelerate the solid-phase reaction, which strongly supports our viewpoint.
In order to determine the optimal grinding fineness of raw materials, an error analysis was conducted on the mineral composition and design values of clinker fired with a differing grinding fineness of raw materials. The analysis results are shown in Figure 8b. The error between the content of C4A3 S ¯ , C5S2 S ¯ , and CaSO4 in the clinker obtained when the grinding fineness of the raw material is 10 μm and the design values are +1.38%, +4.07%, and −19.02%. The errors when the fineness is 20 μm are +0.67%, +0.82%, −1.11%, and the errors when the fineness is 30 μm are −2.04%, −6.11%, and +23.18%. The average errors between the content of C5S2 S ¯ , C4A3 S ¯ , and CaSO4 in clinker obtained under different grinding fineness and the design values are 8.16% (10 μm), 0.87% (20 μm), and 10.44% (30 μm), respectively. When the fineness is 20 μm, the error is minimized and its scatter points are closer to the zero-error curve, indicating that 20 μm is the optimal grinding fineness of raw material. In addition, as the grinding fineness increases, the energy consumption for grinding also increases. Taking into account various factors such as mineral content errors and economic considerations, the fineness requirements can be appropriately relaxed.

4. Conclusions

This research mainly used RSM and QXRD methods to explore the effects of influencing factors on clinker calcination in the laboratory preparation process of NTSAC, including mineral composition of clinker, grinding fineness of raw materials, molding technology of samples, and cooling methods of clinker. The main conclusions drawn from the factors are as follows:
(1) For NTSAC, the optimal calcination temperature decreases with the increase in residual CaSO4 content inside, and its range is roughly 1157–1184 °C, while the optimal holding time for clinker with different mineral compositions is basically the same, about 48 min. When the average error between the mineral content of the clinker and the design value is not greater than 15%, the different mineral compositions of clinker can be successfully prepared at 1175 °C, 49 min.
(2) The cooling method has a relatively small impact on the calcination of clinker, and the effect by rapid cooling is relatively better. The average error of mineral content in clinker under self cooling is 2.53%, which is 1.65% higher than that under rapid cooling. However, if the precision requirement is not high during production, relative energy-saving self cooling can also be chosen.
(3) The molding method has a significant impact on the calcination of clinker, and the effect by compression molding is relatively better. The average errors of each clinker mineral are 12.60% for spherical molding, 0.87% for compression molding, and 22.75% for powder direct use of untreated molding. However, when preparing a large number of samples, spherical molding can also be used as an alternative preparation method to save time.
(4) The molding pressure has a considerable impact on the calcination of clinker, and the effect with a pressure of 15 MPa is relatively better. The average errors between the content of C5S2 S ¯ , C4A3 S ¯ , and CaSO4 in clinker obtained under different pressures and the design values are 7.66% (5 MPa), 5.01% (10 MPa), 0.87% (15 MPa), and 2.22% (20 MPa). However, when preparing a large number of samples, the pressure can also be appropriately reduced to improve work efficiency.
(5) The grinding fineness of raw materials has a considerable impact on the calcination of clinker, and the effect is relatively better when the raw material fineness is 20 μm. The average errors between the content of C5S2 S ¯ , C4A3 S ¯ , and CaSO4 in clinker obtained under different grinding fineness and the design values are 8.16% (10 μm), 0.87% (20 μm), and 10.44% (30 μm). However, when considering energy consumption and the economy, the fineness requirements can be appropriately relaxed within the allowable range of errors.
This research mainly analyzes the effects of influencing factors of NTSAC preparation from the perspective of clinker mineral content, and achieved a subtle regulation of factors. Based on this, future research will focus on optimizing clinker performance through micro level and multi factor regulation. In addition, the existence and potential impact of amorphous phases will be considered in subsequent research, further deepening and improving the theoretical research of the influence of various factors on cement preparation.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/coatings15070773/s1, Figure S1: 3D response surfaces and contour plots of various mineral content models in MC-1: (a) C4A3 S ¯ content; (b) C5S2 S ¯ content; (c) CaSO4 content.; Figure S2: 3D response surfaces and contour plots of various mineral content models in MC-2: (a) C4A3 S ¯ content; (b) C5S2 S ¯ content; (c) CaSO4 content.; Table S1: Analysis of variance.

Author Contributions

Writing—review and editing, supervision, funding acquisition, D.S.; writing—review and editing, validation, conceptualization, M.Y.; supervision, investigation, W.K.; validation, X.L.; validation, H.T.; investigation, Y.H.; investigation, J.W.; writing original draft, software, methodology, H.L.; supervision, D.X. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No.52208265) and the Natural Science Foundation of Shandong Province (Grant No.ZR2022QE185).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data will be made available on request.

Conflicts of Interest

Author Hongxing Liu was employed by The First Company of China Eighth Engineering Bureau Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AbbreviationChemical FormulaChemical NameMineral Name
C5S2 S ¯ 4CaO·2SiO2·CaSO4Calcium SulfosilicateTernesite
C4A3 S ¯ 3CaO·3Al2O3·CaSO4Calcium SulphoaluminateYe’elimite
C4AF4CaO·Al2O3·Fe2O3Tetracalcium AluminoferriteBrownmillerite
C2S2CaO·SiO2Dicalcium SilicateBelite

References

  1. Ige, O.E.; Olanrewaju, O.A.; Duffy, K.J.; Obiora, C. A review of the effectiveness of Life Cycle Assessment for gauging environmental impacts from cement production. J. Clean. Prod. 2021, 324, 129213. [Google Scholar] [CrossRef]
  2. Terán-Cuadrado, G.; Tahir, F.; Nurdiawati, A.; Almarshoud, M.A.; Al-Ghamdi, S.G. Current and potential materials for the low-carbon cement production: Life cycle assessment perspective. J. Build. Eng. 2024, 96, 110528. [Google Scholar] [CrossRef]
  3. Zhang, S.; Wang, Q.; Zhou, W.; Lu, Y.; Liu, X.; Chang, X. A fast-setting and eco-friendly superhydrophobic high belite sulphoaluminate cement mortar. J. Mater. Res. Technol. 2023, 23, 2690–2702. [Google Scholar] [CrossRef]
  4. Abdel-Gawwad, H.; Heikal, E.; El-Didamony, H.; Hashim, F.; Mohammed, A. Recycling of concrete waste to produce ready-mix alkali activated cement. Ceram. Int. 2018, 44, 7300–7304. [Google Scholar] [CrossRef]
  5. Gao, Y.F.; Li, Z.F.; Zhang, J.; Zhang, Q.S.; Wang, Y.S. Synergistic use of industrial solid wastes to prepare belite-rich sulphoaluminate cement and its feasibility use in repairing materials. Constr. Build. Mater. 2020, 264, 120201. [Google Scholar] [CrossRef]
  6. Wu, S.; Yao, Y.; Yao, X.; Ren, C.; Li, J.; Xu, D.; Wang, W. Co-preparation of calcium sulfoaluminate cement and sulfuric acid through mass utilization of industrial by-product gypsum. J. Clean. Prod. 2020, 265, 121801. [Google Scholar] [CrossRef]
  7. Tao, L.; Deng, F.; Xu, K.; Dong, X.; Xu, D.; Liao, Y.; Tang, S. Effect of calcium sulfoaluminate cement on the hydration process and water resistance of phosphogypsum slag cement. J. Mater. Res. Technol. 2024, 33, 5375–5383. [Google Scholar] [CrossRef]
  8. Canbek, O.; Shakouri, S.; Erdoğan, S.T. Laboratory production of calcium sulfoaluminate cements with high industrial waste content. Cem. Concr. Compos. 2020, 106, 103475. [Google Scholar] [CrossRef]
  9. Cai, X.; Yang, D.; Zhang, D.; Cui, J.; Wang, W.; Liu, L. Development of high-early-strength low-carbon engineered cementitious composites with calcium sulfoaluminate cement incorporating high-volume fly ash. Case. Stud. Constr. Mat. 2023, 18, e01959. [Google Scholar] [CrossRef]
  10. Isteri, V.; Ohenoja, K.; Hanein, T.; Kinoshita, H.; Kletti, H.; Rößler, C.; Tanskanen, P.; Illikainen, M.; Fabritius, T. Ferritic calcium sulfoaluminate belite cement from metallurgical industry residues and phosphogypsum: Clinker production, scale-up, and microstructural characterisation. Cem. Concr. Res. 2022, 154, 106715. [Google Scholar] [CrossRef]
  11. Zhang, T.; Gao, P.; Gao, P.; Wei, J.; Yu, Q. Effectiveness of novel and traditional methods to incorporate industrial wastes in cementitious materials—An overview. Resour., Conserv. Recycl. 2013, 74, 134–143. [Google Scholar] [CrossRef]
  12. Vashistha, P.; Park, S.; Pyo, S. A review on sustainable fabrication of futuristic cementitious binders based on application of waste concrete powder, steel slags, and coal bottom ash. Int. J. Concr. Struct. Mater. 2022, 16, 51. [Google Scholar] [CrossRef]
  13. Ren, C.Z.; Wang, W.L.; Li, G.L. Preparation of high-performance cementitious materials from industrial solid waste. Constr. Build. Mater. 2017, 152, 39–47. [Google Scholar] [CrossRef]
  14. Arjunan, P.; Silsbee, M.R.; Roy, D.M. Sulfoaluminate-belite cement from low-calcium fly ash and sulfur-rich and other industrial by-products. Cem. Concr. Res. 1999, 29, 1305–1311. [Google Scholar] [CrossRef]
  15. Zhang, L.; Zhou, J.K. Fractal characteristics of pore structure of hardened cement paste prepared by pressurized compact molding. Constr. Build. Mater. 2020, 259, 119856. [Google Scholar] [CrossRef]
  16. Guo, Z.; Xu, J.; Xu, Z.; Gao, J.; Zhu, X. Performance of cement-based materials containing calcined coal gangue with different calcination regimes. J. Build. Eng. 2022, 56, 104821. [Google Scholar] [CrossRef]
  17. Emanuelson, A.; Hansen, S.; Viggh, E. A comparative study of ordinary and mineralised Portland cement clinker from two different production units: Part I: Composition and hydration of the clinkers. Cem. Concr. Res. 2003, 33, 1613–1621. [Google Scholar] [CrossRef]
  18. Ma, Z.; Yao, Y.; Liu, Z.; Wu, B.; Wen, Z. Effect of calcination and cooling conditions on mineral compositions and properties of high-magnesia and low-heat Portland cement clinker. Constr. Build. Mater. 2020, 260, 119907. [Google Scholar] [CrossRef]
  19. Ren, M.; Shen, P.; Tao, Y.; Poon, C.S. Development of highly carbonation-effective calcium silicates (β-C2S): Phase evolution, microstructure, and carbonation mechanisms. Constr. Build. Mater. 2024, 181, 107542. [Google Scholar] [CrossRef]
  20. Wang, X.; Xie, Z.; Huo, Z.; Shi, Q.; Luo, H.; Ji, S. Effect of boron doping and cooling condition on polymorph and early strength of dicalcium silicate. Constr. Build. Mater. 2025, 469, 140508. [Google Scholar] [CrossRef]
  21. Su, D.L. Synthesis and Application Fundamental Research of High Belite Sulphoaluminate Cement Based on Comprehensive Disposal of Various Solid Wastes. Ph.D. Thesis, Qingdao Technological University, Qingdao, China, 2021. [Google Scholar]
  22. Chen, H.M. Internal burning and clinkering behaviours of dry compact carbon-contained cement raw meal pellets. J. Chin. Ceram. Soc. 2004, 32, 39–51. [Google Scholar]
  23. Vizcaino Andres, L.M.; Antoni, M.G.; Alujas Diaz, A.; Martirena Hernandez, J.F.; Scrivener, K.L. Effect of fineness in clinker-calcined clays-limestone cements. Adv. Cem. Res. 2015, 27, 546–556. [Google Scholar] [CrossRef]
  24. Briki, Y.; Zajac, M.; Haha, M.B.; Scrivener, K. Impact of limestone fineness on cement hydration at early age. Cem. Concr. Res. 2021, 147, 106515. [Google Scholar] [CrossRef]
  25. Su, D.; Yue, G.; Li, Q.; Guo, Y.; Gao, S.; Wang, L. Research on the preparation and properties of high belite sulphoaluminate cement (HBSAC) based on various industrial solid wastes. Materials 2019, 12, 1510. [Google Scholar] [CrossRef]
  26. Su, D.; Hao, Y.; Wang, J.; Liu, H.; Tang, H.; Yang, M.; Xing, D. Study on preparation and high temperature reaction kinetics of a new ternesite sulphoaluminate cement based on solid waste. Constr. Build. Mater. 2025, 458, 139525. [Google Scholar] [CrossRef]
  27. Wei, Y.; Yao, W.; Xing, X.; Wu, M. Quantitative evaluation of hydrated cement modified by silica fume using QXRD, 27Al MAS NMR, TG–DSC and selective dissolution techniques. Constr. Build. Mater. 2012, 36, 925–932. [Google Scholar] [CrossRef]
  28. Fan, D.; Yu, R.; Shui, Z.; Wu, C.; Song, Q.; Liu, Z.; Sun, Y.; Gao, X.; He, Y. A new design approach of steel fibre reinforced ultra-high performance concrete composites: Experiments and modeling. Cem. Concr. Compos. 2020, 110, 103597. [Google Scholar] [CrossRef]
  29. Lang, L.; Duan, H.; Chen, B. Properties of pervious concrete made from steel slag and magnesium phosphate cement. Constr. Build. Mater. 2019, 209, 95–104. [Google Scholar] [CrossRef]
  30. Garboczi, E.J.; Bullard, J.W. Shape analysis of a reference cement. Cem. Concr. Res. 2004, 34, 1933–1937. [Google Scholar] [CrossRef]
  31. Liu, C.; Qian, C.; Qian, R.; Liu, Z.; Qiao, H.; Zhang, Y. Numerical prediction of effective diffusivity in hardened cement paste between aggregates using different shapes of cement powder. Constr. Build. Mater. 2019, 223, 806–816. [Google Scholar] [CrossRef]
  32. Qiaodi, Y.U.; Canhua, L.I.; Wenzhen, X.U.; Yuhong, Z.H.A. Analysis and research on influencing factors of compressive strength of red mud-fly ash sintered brick. New. Build. Mater. 2021, 48, 29. [Google Scholar]
  33. Shen, Y.; Qian, J.S.; Chai, J.Q.; Fan, Y.Y. Calcium sulphoaluminate cements made with phosphogypsum: Production issues and material properties. Cem. Concr. Compos. 2014, 48, 67–74. [Google Scholar] [CrossRef]
Figure 1. XRD patterns of raw materials.
Figure 1. XRD patterns of raw materials.
Coatings 15 00773 g001
Figure 2. Preparation process of Group CP [26].
Figure 2. Preparation process of Group CP [26].
Coatings 15 00773 g002
Figure 3. Particle size analysis of each raw material: (a) petroleum coke ash; (b) fly ash; (c) calcined bauxite.
Figure 3. Particle size analysis of each raw material: (a) petroleum coke ash; (b) fly ash; (c) calcined bauxite.
Coatings 15 00773 g003
Figure 4. Contour figure of the desirability function for each group: (a) MC-1; (b) CP; (c) MC-2.
Figure 4. Contour figure of the desirability function for each group: (a) MC-1; (b) CP; (c) MC-2.
Coatings 15 00773 g004
Figure 5. Mineral composition and error analysis of clinker obtained by different cooling methods: (a) mineral composition; (b) error analysis.
Figure 5. Mineral composition and error analysis of clinker obtained by different cooling methods: (a) mineral composition; (b) error analysis.
Coatings 15 00773 g005
Figure 6. Mineral composition and error analysis of clinker obtained by different molding method: (a) mineral composition; (b) error analysis.
Figure 6. Mineral composition and error analysis of clinker obtained by different molding method: (a) mineral composition; (b) error analysis.
Coatings 15 00773 g006
Figure 7. Mineral composition and error analysis of clinker obtained by different molding pressures: (a) mineral composition; (b) error analysis.
Figure 7. Mineral composition and error analysis of clinker obtained by different molding pressures: (a) mineral composition; (b) error analysis.
Coatings 15 00773 g007
Figure 8. Mineral composition and error analysis of clinker obtained by different grinding fineness of raw materials: (a) mineral composition; (b) error analysis.
Figure 8. Mineral composition and error analysis of clinker obtained by different grinding fineness of raw materials: (a) mineral composition; (b) error analysis.
Coatings 15 00773 g008
Table 1. Main chemical composition of raw materials.
Table 1. Main chemical composition of raw materials.
Raw MaterialsCaO/%Al2O3/%SiO2/%SO3/%Fe2O3/%TiO2/%MgO/%Others/%LOI/%
Petroleum coke ash62.36 0.45 0.85 26.09 0.24 0.00 1.07 0.36 8.58
Fly ash3.44 30.35 52.14 0.79 5.63 1.22 0.73 3.252.45
Calcined bauxite1.07 75.14 14.84 0.18 1.53 4.50 0.48 1.630.63
Note: LOI refers to loss on ignition.
Table 2. Key elements of Group CP in the preparation process.
Table 2. Key elements of Group CP in the preparation process.
Group NumberCalcination SystemCooling MethodMolding Method Molding PressureFineness of Raw MaterialMineral CompositionRaw Material Mix Ratio/%
Design Value/%Actual Value/%
CP1175 °C
-49 min
Rapid coolingCompression molding15 MPa20 μm C 5 S 2 S ¯ 45 C 5 S 2 S ¯ 47.76Petroleum coke ash74.42
C 4 A 3 S ¯ 35 C 4 A 3 S ¯ 37.09Fly ash12.35
CaSO415CaSO415.62Calcined bauxite12.93
C4AF5C4AF--
Note: Due to the solid solution of Fe element in C4A3 S ¯ , 5% C4AF was not obtained in clinker.
Table 9. The optimal calcination system of each group and the mineral composition of its clinker.
Table 9. The optimal calcination system of each group and the mineral composition of its clinker.
Group NumberDataCalcination Temperature
/°C
Holding Time
/min
C 5 S 2 S ¯
/%
C 4 A 3 S ¯
/%
CaSO4
/%
MC-1Wish value----55.26 36.84 7.89
Predictive value1183.7747.3852.7236.847.89
Actual value1183.7747.3853.3437.958.03
CPWish value----47.37 36.84 15.79
Predictive value1175.1549.2747.4038.7715.75
Actual value1175.1549.2747.76 37.09 15.62
MC-2Wish value----39.47 36.84 23.68
Predictive value1157.6547.9139.4739.7623.68
Actual value1157.6547.9138.9838.2522.33
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Su, D.; Liu, X.; Tang, H.; Hao, Y.; Wang, J.; Xing, D.; Liu, H.; Yang, M.; Kong, W. Analysis of Influencing Factors in the Preparation Process of Solid Waste-Based Ternesite Sulphoaluminate Cement. Coatings 2025, 15, 773. https://doi.org/10.3390/coatings15070773

AMA Style

Su D, Liu X, Tang H, Hao Y, Wang J, Xing D, Liu H, Yang M, Kong W. Analysis of Influencing Factors in the Preparation Process of Solid Waste-Based Ternesite Sulphoaluminate Cement. Coatings. 2025; 15(7):773. https://doi.org/10.3390/coatings15070773

Chicago/Turabian Style

Su, Dunlei, Xin Liu, Haojian Tang, Yani Hao, Jiahui Wang, Dejin Xing, Hongxing Liu, Mingxin Yang, and Weiyi Kong. 2025. "Analysis of Influencing Factors in the Preparation Process of Solid Waste-Based Ternesite Sulphoaluminate Cement" Coatings 15, no. 7: 773. https://doi.org/10.3390/coatings15070773

APA Style

Su, D., Liu, X., Tang, H., Hao, Y., Wang, J., Xing, D., Liu, H., Yang, M., & Kong, W. (2025). Analysis of Influencing Factors in the Preparation Process of Solid Waste-Based Ternesite Sulphoaluminate Cement. Coatings, 15(7), 773. https://doi.org/10.3390/coatings15070773

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop