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Article

Strength Prediction of Ball-Milling-Modified Phosphorus Building Gypsum Based on NSGM (1,4) Model

1
Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China
2
Yunnan Earthquake Engineering Research Institute, Kunming 650500, China
3
Yunnan Ningchuang Environmental Technology Co., Ltd., Anning 650300, China
*
Author to whom correspondence should be addressed.
Materials 2022, 15(22), 7988; https://doi.org/10.3390/ma15227988
Submission received: 12 October 2022 / Revised: 6 November 2022 / Accepted: 9 November 2022 / Published: 11 November 2022
(This article belongs to the Section Construction and Building Materials)

Abstract

:
Phosphogypsum is an industrial byproduct from the wet preparation of phosphoric acid. Phosphorus building gypsum can be obtained from phosphogypsum after high-thermal dehydration. This study aimed to analyze the influence of ball milling with different parameters on the strength of phosphorus building gypsum. In this paper, the absolute dry flexural strength and the absolute dry compressive strength of phosphorus building gypsum were compared under different mass ratios of material to ball, ball-milling speed, and ball-milling time, and the NSGM (1,4) model was applied to model and predict the strength of phosphorus building gypsum modified by ball milling. According to the research results, under the same mass ratio of material to ball and ball-milling speed, the absolute dry flexural strength and absolute dry compressive strength of phosphorus building gypsum firstly increased and then decreased with the increase in milling time. The NSGM (1,4) model established in this paper could effectively simulate and predict the absolute dry flexural strength and the absolute dry compressive strength of the ball-milling-modified phosphorus building gypsum; the average relative simulation errors were 12.38% and 13.77%, and the average relative prediction errors were 6.30% and 12.47%.

1. Introduction

Phosphogypsum is the industrial byproduct discharged from the wet preparation of phosphoric acid [1,2,3]. Its main component is CaSO4·2H2O, and it also contains other harmful impurities [4,5]. The phosphogypsum emissions in China are massive, and the pile stock has increased year by year. Currently, the pile stock amounts to 500 million tons, but the utilization rate is only about 15% [6]. The accumulation of phosphogypsum occupies a large amount of land and damages the natural environment [7]. Phosphorus building gypsum can be obtained through the dehydration of phosphogypsum at high temperatures, and its main component is CaSO4·1/2H2O [8]. The main application of phosphorus building gypsum is in preparing building materials, such as blocks and wall panels [9]. Blocks use phosphorus building gypsum as the main raw material, adding water before mixing, casting, molding, and drying to generate lightweight phosphorus building gypsum products. Blocks have many advantages, such as sound insulation, fire prevention, and convenient construction. They represent a new low-carbon, environmentally friendly, and healthy wall material. Wall panels also use phosphorus building gypsum as the main raw material, which can be mixed with a proper amount of fiber material as the core material before molding, cutting, drying, and other processes. Wall panels are mainly used for partitions, interior walls, etc. Phosphorus building gypsum can also be mixed with water and retarder into gypsum slurry, which can be used as indoor paint. The preparation cost of phosphorus building gypsum is low, which fits with the low-carbon development trend of the global building materials industry, and it has been recognized as one of the most promising methods for treating phosphogypsum [10].
However, due to its poor performance, phosphorus building gypsum cannot be applied widely in practical projects. On the one hand, the composition of phosphorus building gypsum is relatively complex, and the large number of impurities affects its performance. On the other hand, phosphorus building gypsum has poor crystal morphology, generally existing in a sheet or plate shape, which results in poor fluidity and high porosity. Therefore, the strength of phosphorus building gypsum is low, and the water resistance is poor [11]. It is necessary to apply some preprocessing methods in the preparation of phosphorus building gypsum to improve the performance of phosphogypsum, such as flotation methods [12], chemical methods [13], sieving methods [14], and heat treatment methods [15]. As a common powder preprocessing method, ball milling has been widely applied and studied in the preparation and modification of cement materials [16,17,18]. However, there have been few studies on the treatment of phosphogypsum and phosphorus building gypsum. Li [19] analyzed the influence of ball-milling time on the specific surface area, particle size distribution, 2 h strength, and absolute dry strength of phosphorus building gypsum at a standard consistency. It was found that the performance of phosphorus building gypsum was best when the ball-milling time was 3 min, and the increase in ball-milling time could not improve the performance of phosphorus building gypsum. Wu [20] studied the effects of ball-milling time on the particle size, physical properties, and mechanical properties of net slurry, and the results showed that the performance of phosphorus building gypsum could be enhanced by controlling the ball-milling time.
At present, artificial neural networks, polynomial regression analysis, machine learning, response surface fitting, and other methods are widely applied to model and predict the performance of building materials [21,22,23,24]. The prediction model of material performance can be used to guide the property design and optimization of building materials. However, research on the modification of phosphorus building gypsum using ball milling has focused on analyzing the change rules and mechanisms of material properties, whereas related studies on predicting the properties of phosphorus building gypsum using mathematical models are rare. This paper introduces gray theory to model and predict the strength of phosphorus building gypsum modified by ball milling. Gray theory can be applied to the analysis and prediction of systems with small data and uncertainty [25,26]. The gray prediction model has achieved good results in various fields, such as energy, economy, and environmental protection [27,28,29]. Furthermore, it has also been widely applied in the study of building material properties [30,31,32]. Zhou [33] applied the GM (1,4) model to complete the optimal design of low-shrinkage cementitious materials. Ma [34] used the GM (1,8) model to model and predict the 28-day compressive strength of calcium-based geopolymer based on pore structure characteristics and obtained good prediction results.
Through the experiments in this paper, the influence of ball milling with different parameters on the absolute dry flexural strength and absolute dry compressive strength of phosphorus building gypsum was investigated. Furthermore, as a function of the mass ratio of material to ball, ball-milling speed, and ball-milling time, the NSGM (1,4) model was adopted to model the absolute dry flexural strength and the absolute dry compressive strength of phosphorus building gypsum modified by ball milling, thereby realizing effective simulation and prediction.

2. Materials and Methods

2.1. Raw Materials

The phosphogypsum used was a light yellow powder obtained from a phosphogypsum yard of Yunnan Yuntianhua Co., Ltd. (Yunnan, China). Its chemical composition is shown in Table 1.

2.2. Experimental Design

The raw materials of phosphogypsum were dehydrated in an air-blowing thermostatic oven at 140 °C for 6 h to produce phosphorus building gypsum. Then, a small horizontal experimental ball mill was used for milling. The effects of different ratios of material to ball mass, milling speed, and milling time on the strength of phosphorus building gypsum were compared, as shown in Table 2.

2.3. Experimental Methods

According to the Chinese national standard “Gypsum Plasters—Determination of Mechanical Properties” (GB/T 17669.3-1999), the mechanical properties of phosphorus building gypsum after ball milling in each group were tested under water consumption for standard consistency.

3. Results and Discussion

3.1. The Effect of Ball Milling on Absolute Dry Flexural Strength of Phosphorus Building Gypsum

Table 3 shows the influence of different ball-milling parameters on the strength of phosphorus building gypsum.
Under water consumption for standard consistency, the effects of the mass ratio of material to ball, milling speed, and milling time on the absolute dry flexural strength of phosphorus building gypsum are shown in Figure 1.
As can be seen from Figure 1, under different mass ratios of material to ball and milling speed, the absolute dry flexural strength of phosphorus building gypsum first increased and then decreased with the increase in milling time. When the mass ratio of material to ball was the same, faster ball milling had a greater influence on the absolute dry flexural strength of phosphorus building gypsum. When the milling speed was the same, a smaller mass ratio of material to ball had a greater influence on the absolute dry flexural strength of phosphorus building gypsum.
In general, under the conditions of a mass ratio of material to ball of 1:1, ball milling speed of 90 rpm, and ball milling time of 5 min, the absolute dry flexural strength of phosphorus building gypsum reached the maximum value of 4.39 MPa, increasing by 39% compared with the control group.

3.2. The Effect of Ball Milling on Absolute Dry Compressive Strength of Phosphorus Building Gypsum

Under water consumption for standard consistency, the effects of the mass ratio of material to ball, milling speed, and milling time on the absolute dry compressive strength of phosphogypsum are shown in Figure 2.
As can be seen from Figure 2, under different mass ratios of material to ball and milling speed, the absolute dry compressive strength of phosphorus building gypsum first increased and then decreased with the increase in milling time. When the mass ratio of material to ball was the same, faster ball milling had a greater influence on the absolute dry compressive strength of phosphorus building gypsum. When the milling speed was the same, a smaller mass ratio of material to ball had a greater influence on the absolute dry compressive strength of phosphorus building gypsum.
In general, under the conditions of a mass ratio of material to ball of 1:1, ball milling speed of 90 rpm, and ball milling time of 5 min, the absolute dry compressive strength of phosphorus building gypsum reached the maximum value of 8.75 MPa, increasing by 29% compared with the control group.

3.3. Mechanism Analysis

By controlling the milling time, the rhomboid sheet crystal of phosphorus building gypsum could be changed to elliptic sheet crystal, and the relative thickness of phosphorus building gypsum crystal could be reduced. When the slurry was formed by adding water to phosphorus building gypsum, the phosphorus building gypsum crystal particles that were close to an oval shape with a relatively low thickness after ball milling had better fluidity. At the same time, the fine end particles of phosphorus building gypsum after ball milling increased, which changed the particle grading of phosphorus building gypsum, and the particles were effectively filled step by step, increasing the bulk density of phosphorus building gypsum after ball milling. Therefore, the overall structure of phosphorus building gypsum became denser, the porosity decreased, and the performance was improved.
However, when the ball milling time was too long, there were too many fine end particles of phosphorus building gypsum, and the specific surface area was too large, which increased the water consumption of standard consistency, thus adversely affecting the performance of phosphorus building gypsum.

4. NSGM (1,4) Prediction of Material Properties

4.1. Modeling

The NSGM (1,N) model was proposed by Professor Bo Zeng [25]. The difference model was applied to replace the shadow formula on the traditional GM (1,N) model to optimize the structure of the multivariable gray prediction model and improve the accuracy of prediction.
In this paper, the absolute dry flexural strength and absolute dry compressive strength were two indicators applied to investigate phosphorus building gypsum modified by ball milling, and there were two characteristic data in the system for modeling. Furthermore, three related parameters of the modeling system were investigated, namely the mass ratio of material to ball, the ball-milling speed, and the ball-milling time. The NSGM (1,4) model of absolute dry flexural strength-to-mass ratio of material to ball, ball-milling speed, and ball-milling time, and the NSGM (1,4) model of absolute dry compressive strength-to-mass ratio of material to ball, ball-milling speed, and ball-milling time were established. Below, we mainly describe the modeling process of absolute dry flexural strength, as the modeling process of absolute dry compressive strength is similar.

4.1.1. Determination of the Absolute Dry Flexural Strength Modeling Data

The sample sequence involved 28 groups, and 23 groups of sample data were selected to construct the NSGM (1,4) model and test its simulation performance. Four groups of sample data were selected (mass ratio of material to ball of 2:1, milling speed of 70 rpm, and milling time of 30 min; mass ratio of material to ball of 2:1, milling speed of 90 rpm, and milling time of 30 min; mass ratio of material to ball of 1:1, milling speed of 70 rpm, and milling time of 30 min; mass ratio of material to ball of 1:1, milling speed of 90 rpm, and milling time of 30 min) to analyze the model effect, and the data are shown in Table 4.
The characteristic sequence of the constructed system was as follows:
X 1 0 = ( 3.15 , 3.22 , 3.64 , 3.84 , 3.97 , 3.61 , 3.15 , 3.32 , 3.87 , 4.14 , 4.1 , 4.1 , 3.15 , 3.93 , 4.11 , 4.28 , 3.64 , 3.14 ,   3.15 , 4.39 , 3.9 , 3.71 , 3.36 , 2.4 ) .
The relevant behavior sequence was constructed as follows:
X 2 0 = 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 ,
X 3 0 = ( 70 , 70 , 70 , 70 , 70 , 70 , 90 , 90 , 90 , 90 , 90 , 90 , 70 , 70 , 70 , 70 , 70 , 70 , 90 , 90 , 90 , 90 , 90 , 90 ) ,
X 4 0 = 0 , 5 , 10 , 15 , 20 , 25 , 0 , 5 , 10 , 15 , 20 , 25 , 0 , 5 , 10 , 15 , 20 , 25 , 0 , 5 , 10 , 15 , 20 , 25 .

4.1.2. Calculation of the NSGM (1,4) Model Parameters of Absolute Dry Flexural Strength

The accumulative sequences of system characteristics and related behavior were calculated to generate the following:
X 1 1 = ( 3.15 , 6.37 , 10.01 , 13.85 , 17.82 , 21.43 , 24.58 , 27.9 , 31.77 , 35.91 , 40.31 , 44.41 , 47.56 , 51.49 , 55.6 , 59.88 , 63.52 , 66.66 , 69.81 , 74.2 , 78.1 , 81.81 , 85.17 , 87.51 ) ,
X 2 1 = 2 , 4 , 6 , 8 , 10 , 12 , 14 , 16 , 18 , 20 , 22 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ,
X 3 1 = ( 70 , 140 , 210 , 280 , 350 , 420 , 510 , 600 , 690 , 780 , 870 , 960 , 1030 , 1100 , 1170 , 1240 , 1310 , 1380 , 1470 , 1560 , 1650 , 1740 , 1830 , 1920 ) ,
X 4 1 = ( 0 , 5 , 15 , 30 , 50 , 75 , 75 , 80 , 90 , 105 , 125 , 150 , 150 , 155 , 165 , 180 , 200 , 225 , 225 , 230 , 240 , 255 , 275 , 300 ) .
The mean sequence adjacent to the characteristic sequence of the system was calculated as follows:
Z 1 1 = ( 4.76 , 8.19 , 11.93 , 15.835 , 19.625 , 23.005 , 26.24 , 29.835 , 33.84 , 38.11 , 42.36 , 45.985 , 49.525 , 53.545 , 57.74 , 61.7 , 65.09 , 68.235 , 72.005 , 76.15 , 79.995 , 83.49 , 86.34 ) .
The parameter matrices B and Y of the NSGM (1,4) model were constructed, and the model parameters were calculated as follows:
  p ^ = b 2 , b 3 , b 4 , a , h 1 , h 2 T :
B = 4 140 5 4.76 1 1 6 210 15 8.19 2 1 8 280 30 11.93 3 1 36 1920 300 86.34 23 1 , Y = 3.22 3.64 3.84 2.4 .
The calculated model parameters were as follows:
  p ^ = b 2 , b 3 , b 4 , a , h 1 , h 2 T = B T B 1 B T Y   = 0.100249 , 0.001441 , 0.023347 , 0.201391 , 0.721565 , 2.884889 T .

4.1.3. Construction of the NSGM (1,4) Model of Absolute Dry Flexural Strength

The model parameters were introduced into the NSGM (1,4) model to calculate the intermediate variables μ 1 , μ 2 , μ 3 , and μ 4 :
μ 1 = 1 1 + 0.5 a = 1.1119 ,
μ 2 = 1 0.5 a 1 + 0.5 a = 1.2320 ,
μ 3 = h 1 1 + 0.5 a = 0.8024 ,
μ 4 = h 2 h 1 1 + 0.5 a = 4.0103 .
Furthermore, the time response of the NSGM (1,4) model of absolute dry flexural strength of ball-milling-modified phosphorus building gypsum could be obtained as follows:
  X ^ 1 1 k = t = 1 k 1 i = 2 N 1.1119 1.2320 t 1 b i X i 1 k t + 1 + 1.2320 k 1   X ^ 1 1 1 + j = 0 k 2 1.2320 j 0.8024 k j + 4.0103 ,   k = 1 , 2 , 3 ,
The incremental formula of the NSGM (1,4) model for the absolute dry flexural strength of phosphorus building gypsum modified by ball milling was as follows:
  X ^ 1 0 k =   X ^ 1 1 k   X ^ 1 1 k 1 ,   k = 2 , 3 , 4 ,

4.1.4. NSGM (1,4) Model of Absolute Dry Compressive Strength

The modeling process was the same as the above steps, and the time response of the NSGM (1,4) model for the absolute dry compressive strength of phosphorus building gypsum modified by ball milling was obtained as follows:
  X ^ 1 1 k = t = 1 k 1 i = 2 N 1.1271 1.2542 t 1 b i X i 1 k t + 1 + 1.2542 k 1   X ^ 1 1 1 + j = 0 k 2 1.2542 j 0.7731 k j + 8.1241 ,   k = 1 , 2 , 3 ,

4.2. Model Simulation, Prediction Results, and Test Errors

4.2.1. Test of Absolute Dry Flexural Strength Model of Phosphorus Building Gypsum Modified by Ball Milling

Using the established NSGM (1,4) model, the simulated value of absolute dry flexural strength of phosphorus building gypsum modified by ball milling could be calculated, and the result is shown in Figure 3.
The residual error was calculated as follows:
ε S k = X 1 0 k   X ^ 1 0 K 1 , k = 2 , 3 , 4 ,
The relative simulation error was calculated as follows:
Δ S k = ε S k X 1 0 k × 100 % , k = 2 , 3 , 4 ,
The average relative simulation error was calculated as follows:
Δ S ¯ = 1 n k = 1 n Δ S k .
The average relative simulation error of the calculated NSGM (1,4) model of absolute dry flexural strength was 12.38%, as shown in Table 5.
From the error level reference table of the grey prediction test model, it can be seen that the prediction accuracy level of the model was level 1, which means that the model could be applied to predict the absolute dry flexural strength of phosphorus building gypsum as a function of the mass ratio of material to ball, ball milling speed, and ball milling time. The prediction results and errors are shown in Table 6.
Table 6 shows that the average relative prediction error of the absolute dry flexural strength of ball-milling-modified phosphorus building gypsum predicted by the NSGM (1,4) model was 6.30%. Although there was some error, this model could be applied to the performance prediction of phosphorus building gypsum modified by ball milling in engineering.

4.2.2. Test of Absolute Dry Compressive Strength Model of Phosphorus Building Gypsum Modified by Ball Milling

Using the established NSGM (1,4) model, the simulated value of absolute dry compressive strength of phosphorus building gypsum modified by ball milling could be calculated, and the result is shown in Figure 4.
The average relative simulation error of the calculated NSGM (1,4) model of absolute dry compressive strength was 13.77%, as shown in Table 7.
From the error-level reference table of the gray prediction test model, it can be seen that the prediction accuracy level of the model was level 1, which means that the model could be applied to predict the absolute dry compressive strength of phosphorus building gypsum as a function of the mass ratio of material to ball, ball-milling speed, and ball-milling time. The prediction results and errors are shown in Table 8.
Table 8 shows that the average relative prediction error of absolute dry compressive strength of ball-milling-modified phosphorus building gypsum predicted by the NSGM (1,4) model was 12.47%. Although there was some error, this model could be applied to the performance prediction of phosphorus building gypsum modified by ball milling in engineering.

5. Potential Applications and Prospects

Because of the complex composition of phosphorus building gypsum, a large number of impurities affect its performance. Furthermore, the particle shape and particle size distribution of phosphorus building gypsum are not good, adversely affecting its performance. According to the results of this paper, it can be seen that after ball milling, various properties of the phosphorus building gypsum were improved, thus meeting the application requirements for building gypsum. Compared with other materials, the ball-milled-modified phosphorus building gypsum has certain advantages, as shown in Table 9, including simplicity, environmental friendliness, and low cost, as well as certain practical significance in production.

6. Conclusions

  • Different ball-milling parameters had a great influence on the mechanical properties of phosphorus building gypsum. Under the same mass ratio of material to ball and milling speed, the absolute dry flexural strength and compressive strength of phosphorus building gypsum increased first and then decreased with the increase in milling time. Under the same milling time, a smaller mass ratio of material to ball and a higher milling speed had a greater influence on the performance of phosphorus building gypsum.
  • Under the conditions of a mass ratio of material to ball of 1:1, milling speed of 90 rpm, and milling time of 5 min, the absolute dry flexural strength of phosphorus building gypsum reached the maximum value of 4.39 MPa, increasing by 39% compared with the control group. The absolute dry compressive strength reached the maximum value of 8.75 MPa, increasing by 29% compared with the control group.
  • The NSGM (1,4) model established in this paper could be used to conduct a valid simulation and prediction of the absolute dry flexural strength and compressive strength of phosphorus building gypsum modified by ball milling. The average relative simulation errors were 12.38% and 13.77%, and the average relative prediction errors were 6.30% and 12.47%.

Author Contributions

Conceptualization, Y.Z. and Z.T.; software, L.W.; data curation, Z.Z. (Zhiqi Zhang) and Z.Z. (Zhiman Zhao); writing—original draft preparation, Y.Z.; writing—review and editing, Z.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Key R&D Program of Yunnan Provincial Department of Science and Technology (202003AC100001), the Industrial High-Tech Project of Yunnan Provincial Department of Science and Technology (202003AA080032), and the Analysis and Testing Fund of Kunming University of Science and Technology (2021P20201110003).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data supporting this study’s findings are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wang, Q.; Cui, Y.; Xue, J. Study on the improvement of the waterproof and mechanical properties of hemihydrate phosphogypsum-based foam insulation materials. Constr. Build. Mater. 2020, 230, 117014. [Google Scholar] [CrossRef]
  2. Rashad, A.M. Phosphogypsum as a construction material. J. Clean. Prod. 2017, 166, 732–743. [Google Scholar] [CrossRef]
  3. Neto, J.; Bersch, J.D.; Silva, T.S.M.; Rodríguez, E.D.; Suzuki, S.; Kirchheim, A.P. Influence of phosphogypsum purification with lime on the properties of cementitious matrices with and without plasticizer. Constr. Build. Mater. 2021, 299, 123935. [Google Scholar] [CrossRef]
  4. Rosales, J.; Pérez, S.M.; Cabrera, M.; Gázquez, M.J.; Bolivar, J.P.; de Brito, J.; Agrela, F. Treated phosphogypsum as an alternative set regulator and mineral addition in cement production. J. Clean. Prod. 2020, 244, 118752. [Google Scholar] [CrossRef]
  5. Liu, S.; Wang, L.; Yu, B. Effect of modified phosphogypsum on the hydration properties of the phosphogypsum-based supersulfated cement. Constr. Build. Mater. 2019, 243, 9–16. [Google Scholar] [CrossRef]
  6. Attallah, M.F.; SMetwally, S.; Moussa, S.I.; Soliman, M.A. Environmental impact assessment of phosphate fertilizers and phosphogypsum waste: Elemental and radiological effects. Microchem. J. 2019, 146, 789–797. [Google Scholar] [CrossRef]
  7. Campos, M.P.; Costa, L.J.P.; Nisti, M.B.; Mazzilli, B.P. Phosphogypsum recycling in the building materials industry: Assessment of the radon exhalation rate. J. Environ. Radioact. 2017, 172, 232. [Google Scholar] [CrossRef]
  8. Jiang, G.; Wu, A.; Wang, Y.; Lan, W. Low cost and high efficiency utilization of hemihydrate phosphogypsum: Used as binder to prepare filling material. Constr. Build. Mater. 2018, 167, 263–270. [Google Scholar] [CrossRef]
  9. Jin, Z.; Ma, B.; Su, Y.; Lu, W.; Qi, H.; Hu, P. Effect of calcium sulphoaluminate cement on mechanical strength and waterproof properties of beta-hemihydrate phosphogypsum. Constr. Build. Mater. 2020, 242, 118198. [Google Scholar] [CrossRef]
  10. Magallanes-Rivera, R.X.; Juarez-Alvarado, C.A.; Valdez, P.; Mendoza-Rangel, J.M. Modified gypsum compounds: An ecological–economical choice to improve traditional plasters. Constr. Build. Mater. 2012, 37, 591–596. [Google Scholar] [CrossRef]
  11. Huang, Y.; Qian, J.; Kang, X.; Yu, J.; Fan, Y.; Dang, Y.; Zhang, W.; Wang, S. Belite-calcium sulfoaluminate cement prepared with phosphogypsum: Influence of P2O5 and F on the clinker formation and cement performances. Constr. Build. Mater. 2019, 203, 432–442. [Google Scholar] [CrossRef]
  12. Al-Hwaiti, M.S. Assessment of the radiological impacts of treated phosphogypsum used as the main constituent of building materials in Jordan. Environ. Earth Sci. 2015, 74, 3159–3169. [Google Scholar] [CrossRef]
  13. Liu, L.Z.; Chen, D.Y.; Liu, Y.H. Study on the pretreatment technology and preparing construction gypsum of phosphogypsum. Non-Met. Mines 2014, 3, 30–32. [Google Scholar]
  14. Zhang, L.; Zhang, A.; Li, K.; Wang, Q.; Han, Y.; Yao, B.; Gao, X.; Feng, L. Research on the pretreatment and mechanical performance of undisturbed phosphogypsum. Case Stud. Constr. Mater. 2020, 13, e00400. [Google Scholar] [CrossRef]
  15. Xiong, C.Y.; Lv, S.Z.; Niu, Y.H. Preparation of building gypsum from phosphogypsum in sichuan and its properties. Non-Met. Allic Mines 2020, 43, 33–36. [Google Scholar]
  16. Peuker, U.A. Synthesis of High Performance Geopolymers by Wet Milling of Blast Furnace Slags. Mater. Sci. Forum 2019, 959, 177–182. [Google Scholar] [CrossRef]
  17. Lemougna, P.N.; Yliniemi, J.; Nguyen, H.; Adesanya, E.; Tanskanen, P.; Kinnunen, P.; Roning, J.; Illikainen, M. Utilisation of glass wool waste and mine tailings in high performance building ceramics. J. Build. Eng. 2020, 31, 101383. [Google Scholar] [CrossRef]
  18. Ravaszova, S.; Dvorak, K. Impact of the grinding process on the granulometric properties of triclinic alite. IOP Conf. Ser. Mater. Sci. Eng. 2018, 385, 012044. [Google Scholar] [CrossRef]
  19. Li, X.; Wang, Y.; Wan, H.W.; Wang, P.Q. Experimental study on the gypsum preparation by the phosphogypsum. J. Wuhan Univ. Technol. 2015, 37, 40–46. [Google Scholar]
  20. Wu, L.; Tao, Z.; Zhao, Z.; Ghafar, W.A.; Tao, Y.; Liao, S.; Zhang, Y. Effect of Ball Milling Time on the Performance of Phosphorous Building Gypsum. Adv. Civ. Eng. 2022, 2022, 7670057. [Google Scholar] [CrossRef]
  21. Min, H.; Zhao, Y.; Wang, H.; Lin, S. Mechanical Properties Test and Strength Prediction on Basalt Fiber Reinforced Recycled Concrete. Adv. Civ. Eng. 2021, 2021, 6673416. [Google Scholar] [CrossRef]
  22. Farabi, B.A.; Ahsan, K.A.; Shariff, T.; Meem, S.R. Formulation of polynomial equation predicting the splitting tensile strength of concrete. Mater. Today Proc. 2020. prepublish. [Google Scholar] [CrossRef]
  23. Sevim, U.K.; Bilgic, H.H.; Cansiz, O.F.; Ozturk, M.; Atis, C.D. Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques. Constr. Build. Mater. 2021, 271, 121584. [Google Scholar] [CrossRef]
  24. Mohaiminul, H.; Ray, S.; Mita, A.F.; Bhattacharjee, S.; Shams, M.J.B. Prediction and optimization of the fresh and hardened properties of concrete containing rice husk ash and glass fiber using response surface methodology. Case Stud. Constr. Mater. 2021, 14, e00505. [Google Scholar] [CrossRef]
  25. Zeng, B.; Zhou, M.; Liu, X.; Zhang, Z. Application of a new grey prediction model and grey average weakening buffer operator to forecast China’s shale gas output. Energy Rep. 2020, 6, 1608–1618. [Google Scholar] [CrossRef]
  26. Liu, S.; Yang, Y. Advances in Grey System Research (2004–2014). J. Nanjing Univ. Aeronaut. Astronaut. 2015, 47, 1–18. [Google Scholar] [CrossRef]
  27. Luo, X.; Yan, X.; Chen, Y.; Yue, M.; Li, J. The prediction of shale gas well production rate based on grey system theory dynamic model GM(1, N). J. Pet. Explor. Prod. Technol. 2020, 10, 3601–3607. [Google Scholar] [CrossRef]
  28. Cheng, M.; Li, J.; Liu, Y.; Liu, B. Forecasting Clean Energy Consumption in China by 2025: Using Improved Grey Model GM (1, N). Sustainability 2020, 12, 698. [Google Scholar] [CrossRef] [Green Version]
  29. Xiong, P.; Shi, J.; Pei, L.; Ding, S. A Novel Linear Time-Varying GM(1,N) Model for Forecasting Haze: A Case Study of Beijing, China. Sustainability 2019, 11, 3832. [Google Scholar] [CrossRef] [Green Version]
  30. Xiong, R.; Wang, L. Durability Prediction of Asphalt Mixture under Freeze-Thaw Cycle Based on GM (1,N) Grey Model. Appl. Mech. Mater. 2015, 3843, 744–746. [Google Scholar] [CrossRef]
  31. Zhang, K.-Y.; Mao, C.-Q.; Xiang, X.-B.; Liu, R.-N. Research on the Concrete Creep Based on the Gray Model Theory. J. Wuhan Univ. Technol. 2008, 8, 117–121. [Google Scholar]
  32. Lihua, Z.; Cheng, Z.; Jun, D. Prediction of compressive strength of recycled aggregate concrete based on gray correlation analysis. Constr. Build. Mater. 2021, 273, 121750. [Google Scholar] [CrossRef]
  33. Zhou, N.; Qian, C.; He, Z. Optimal design of low shrinkage cementitious materials with equal mortar strength. J. Southeast Univ. (Nat. Sci. Ed.) 2015, 45, 387–392. [Google Scholar]
  34. Ma, X.; Xiongwei, Y.E.; Zhu, J.; Jupeng, H.E.; Xie, X. Effect of Pore Structure of Calcium-Based Geopolymer on 28d Compressive Strength. J. Build. Mater. 2017, 20, 543–547,562. [Google Scholar]
Figure 1. Effect of ball milling on absolute dry flexural strength of phosphorus building gypsum.
Figure 1. Effect of ball milling on absolute dry flexural strength of phosphorus building gypsum.
Materials 15 07988 g001
Figure 2. Effect of ball milling on absolute dry compressive strength of phosphorus building gypsum.
Figure 2. Effect of ball milling on absolute dry compressive strength of phosphorus building gypsum.
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Figure 3. Comparison of the original sequence and the simulated sequence in absolute dry flexural strength of the phosphorus building gypsum modified by ball milling.
Figure 3. Comparison of the original sequence and the simulated sequence in absolute dry flexural strength of the phosphorus building gypsum modified by ball milling.
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Figure 4. Comparison of the original sequence and the simulated sequence in absolute dry compressive strength of the phosphorus building gypsum modified by ball milling.
Figure 4. Comparison of the original sequence and the simulated sequence in absolute dry compressive strength of the phosphorus building gypsum modified by ball milling.
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Table 1. Chemical content analysis of phosphogypsum.
Table 1. Chemical content analysis of phosphogypsum.
ComponentSiO2Al2O3Fe2O3MnOMgOCaOK2OP2O5SO3Organisms
Content (%)14.521.660.150.0050.1731.940.220.9445.380.25
Table 2. Ball-milling test scheme.
Table 2. Ball-milling test scheme.
No.Mass Ratio of Material to BallMilling Speed (rpm)Milling Time (min)
A02:1700
A12:1705
A22:17010
A32:17015
A42:17020
A52:17025
A62:17030
B02:1900
B12:1905
B22:19010
B32:19015
B42:19020
B52:19025
B62:19030
C01:1700
C11:1705
C21:17010
C31:17015
C41:17020
C51:17025
C61:17030
D01:1900
D11:1905
D21:19010
D31:19015
D41:19020
D51:19025
D61:19030
Table 3. Effects of different ball-milling parameters on the strength of phosphorus building gypsum.
Table 3. Effects of different ball-milling parameters on the strength of phosphorus building gypsum.
No.Absolute Dry Flexural Strength (MPa)Absolute Dry Compressive Strength (MPa)
A03.156.8
A13.227.12
A23.648.03
A33.848.06
A43.978.17
A53.617.02
A63.576.81
B03.156.8
B13.328.33
B23.878.61
B34.148.6
B44.17.93
B54.17.73
B63.987.63
C03.156.8
C13.938.41
C24.118.51
C34.288.56
C43.647.95
C53.147.27
C62.896.83
D03.156.8
D14.398.75
D23.98
D33.717.82
D43.366.54
D53.15.89
D62.345.56
Table 4. Modeling data.
Table 4. Modeling data.
Test Serial NumberAbsolute Dry Flexural Strength (MPa)Absolute Dry Compressive Strength (MPa)Modeling Serial Number
A03.156.81
A13.227.122
A23.648.033
A33.848.064
A43.978.175
A53.617.026
A63.576.8125 (forecasting group)
B03.156.87
B13.328.338
B23.878.619
B34.148.610
B44.17.9311
B54.17.7312
B63.987.6326 (forecasting group)
C03.156.813
C13.938.4114
C24.118.5115
C34.288.5616
C43.647.9517
C53.147.2718
C62.896.8327 (forecasting group)
D03.156.819
D14.398.7520
D23.9821
D33.717.8222
D43.366.5423
D53.15.8924
D62.345.5628 (forecasting group)
Table 5. Error of absolute dry flexural strength simulation results.
Table 5. Error of absolute dry flexural strength simulation results.
Modeling Serial NumberOriginal SequenceSimulated SequenceRelative Simulation Error (%)
23.223.6513.39
33.643.742.81
43.843.723.03
53.973.5710.05
63.613.259.85
73.153.5512.63
83.323.7813.78
93.873.931.52
104.143.983.77
114.13.924.35
124.13.729.38
133.153.9725.99
143.934.155.57
154.114.243.16
164.284.221.37
173.644.0711.77
183.143.7519.49
193.154.0528.43
204.394.272.62
213.94.4313.49
223.714.4820.78
233.364.4231.51
243.14.2135.89
Average relative simulation error = 12.38%
Table 6. The prediction results of absolute dry flexural strength.
Table 6. The prediction results of absolute dry flexural strength.
Modeling Serial NumberOriginal SequenceSimulated SequenceRelative Simulation Error (%)
253.573.919.52
263.983.5411.08
272.893.014.02
282.342.350.60
Average relative prediction error = 6.30%
Table 7. Error of absolute dry compressive strength simulation results.
Table 7. Error of absolute dry compressive strength simulation results.
Modeling Serial NumberOriginal SequenceSimulated SequenceRelative Simulation Error (%)
27.127.698.07
38.038.020.14
48.068.050.06
58.177.735.37
67.026.960.91
76.87.6812.88
88.338.211.45
98.618.511.18
108.68.510.99
117.938.152.82
127.737.335.16
136.88.0918.99
148.418.673.15
158.519.046.20
168.569.126.58
177.958.8611.46
187.278.1612.29
196.88.9832.06
208.759.6410.12
21810.0926.10
227.8210.2931.54
236.5410.1755.43
245.899.6463.75
Average relative simulation error = 13.77%
Table 8. The prediction results of absolute dry compressive strength.
Table 8. The prediction results of absolute dry compressive strength.
Modeling Serial NumberOriginal SequenceSimulated SequenceRelative Simulation Error (%)
256.818.9931.97
267.638.166.97
276.836.760.99
285.565.019.94
Average relative prediction error = 12.47%
Table 9. Comparison of ball-milling-modified phosphorus building gypsum and other gypsum materials.
Table 9. Comparison of ball-milling-modified phosphorus building gypsum and other gypsum materials.
Performance IndexUntreated Phosphorus Building GypsumBall-Milling-Modified Phosphorus Building GypsumDesulfurized GypsumBuilding Gypsum (GB/T 9775-2008) (Level 1)
Absolute dry flexural strength (MPa)3.154.393.0≥3.0
Absolute dry compressive strength (MPa)6.88.756.4≥5.0
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Zhang, Y.; Tao, Z.; Wu, L.; Zhang, Z.; Zhao, Z. Strength Prediction of Ball-Milling-Modified Phosphorus Building Gypsum Based on NSGM (1,4) Model. Materials 2022, 15, 7988. https://doi.org/10.3390/ma15227988

AMA Style

Zhang Y, Tao Z, Wu L, Zhang Z, Zhao Z. Strength Prediction of Ball-Milling-Modified Phosphorus Building Gypsum Based on NSGM (1,4) Model. Materials. 2022; 15(22):7988. https://doi.org/10.3390/ma15227988

Chicago/Turabian Style

Zhang, Yi, Zhong Tao, Lei Wu, Zhiqi Zhang, and Zhiman Zhao. 2022. "Strength Prediction of Ball-Milling-Modified Phosphorus Building Gypsum Based on NSGM (1,4) Model" Materials 15, no. 22: 7988. https://doi.org/10.3390/ma15227988

APA Style

Zhang, Y., Tao, Z., Wu, L., Zhang, Z., & Zhao, Z. (2022). Strength Prediction of Ball-Milling-Modified Phosphorus Building Gypsum Based on NSGM (1,4) Model. Materials, 15(22), 7988. https://doi.org/10.3390/ma15227988

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