Methods for optimizing process parameters in the fabrication of glass-ceramics

Abstract

This invention discloses a method for optimizing process parameters in the fabrication of glass-ceramics. The method includes the following steps: determining an orthogonal experimental scheme, fabricating glass-ceramics, obtaining performance indicators, fitting the performance indicators, determining a model of the performance indicators of the glass-ceramics and the influencing factors in the fabrication process, and optimizing the parameters in the fabrication process based on the determined model, with the target performance indicator of the glass-ceramics to be fabricated as the response target, to obtain the optimal process parameters for each influencing factor in the fabrication process. This method has advantages such as convenient operation, short time consumption, wide application range, high efficiency, strong flexibility, effectively avoiding single-point consideration of a single indicator, and greater intuitiveness. It is a novel method that can be widely adopted, greatly reduces the amount of experimentation, and obtains the most accurate optimal experimental conditions, which is of great significance for further improving the performance of glass-ceramics and reducing energy consumption.

Description

Technical Field

[0001] This invention belongs to the field of waste recycling technology, specifically the production of microcrystalline glass materials from hazardous waste, and relates to a method for optimizing process parameters in the production of microcrystalline glass. Background Technology

[0002] Incineration is an effective method for treating municipal solid waste, utilizing the chemical heat within the waste and achieving waste reduction. Waste incineration produces a certain amount of fly ash, which often contains heavy metals and soluble salts and has been included in the hazardous waste list. SiO2 and CaO contained in fly ash are components of the microcrystalline glass structure. The high-temperature treatment process of microcrystalline glass can effectively decompose organic compounds and also has a very good effect on fixing heavy metals. The small particle size of fly ash also creates favorable conditions for the production of microcrystalline glass. Therefore, microcrystalline glass is considered a solution for the harmless treatment of fly ash.

[0003] Due to the diverse glass systems they comprise, the complex heat treatment processes, and the influence of the amount of certain additives, any change in the composition of microcrystalline glass will result in various different crystals. Moreover, with changes in influencing factors, the composition, content, and cell size of the crystals within the microcrystalline glass framework will all change to varying degrees, thus affecting the overall performance of the microcrystalline glass material.

[0004] Existing experiments on manufacturing microcrystalline glass from fly ash focus on a few parameters while keeping all other parameters constant, performing a series of treatments on the raw materials to obtain microcrystalline glass samples. However, crystal growth, which is crucial for microcrystalline glass, is a linear process, so existing experimental schemes only approximate the optimal conditions. Furthermore, current research has done very little in terms of multi-factor analysis, leading to a largely one-sided nature in the studies, which is detrimental to a systematic understanding of specific microcrystalline glass systems. Moreover, the experimental workload increases exponentially with the number of experimental conditions studied. In addition, the optimal experimental conditions obtained using traditional methods are often only a partial optimum within the experimental design, an approximate state of optimality. At the same time, the variation patterns of microcrystalline glass samples prepared using traditional experimental methods with the experimental environment are not intuitively apparent.

[0005] The process of using waste materials as the base material for glass-ceramics is cumbersome, the raw materials contain highly complex substances, and the fabrication of glass-ceramics requires a very long heat treatment time. If too many influencing factors need to be determined, energy consumption will also increase. Therefore, it is essential to obtain experimental conditions for optimal-performance glass-ceramics while reducing the amount of experimentation. Thus, developing a convenient, time-efficient, widely applicable, efficient, flexible, and more intuitive method for optimizing the process parameters of glass-ceramics fabrication, effectively avoiding a singular focus on any single indicator, is of great significance for obtaining glass-ceramics with optimal performance. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method for optimizing the process parameters for manufacturing microcrystalline glass.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0008] A method for optimizing process parameters in the fabrication of glass-ceramics includes the following steps:

[0009] S1. Based on the experimental conditions related to the performance indicators of microcrystalline glass in the manufacturing process, design orthogonal experimental parameters and determine the orthogonal experimental scheme.

[0010] S2. Fabricate microcrystalline glass according to the orthogonal experimental design and obtain the performance indicators of microcrystalline glass;

[0011] S3. Minitab was used to fit the performance indicators of the glass-ceramics prepared under different orthogonal experimental schemes, and the model of the performance indicators of the glass-ceramics and the influencing factors in the manufacturing process was determined.

[0012] S4. Based on the determined performance indicators of the microcrystalline glass and the model of each influencing factor in the manufacturing process, with the target performance indicators of the microcrystalline glass to be manufactured as the response target, optimize each parameter in the manufacturing process of the microcrystalline glass to obtain the optimal process parameters of each influencing factor in the manufacturing process of the microcrystalline glass.

[0013] The above-mentioned method for optimizing the process parameters of glass-ceramic fabrication is further improved in step S3, where the model for the performance indicators of the glass-ceramic and the influencing factors in the fabrication process is as follows:

[0014] G=a+bX1+cX3+dX4+eX5+fX1×X3+gX1×X5+hX4×X4;

[0015] In the above formula, G represents the target performance index of the glass-ceramic, and X represents the target performance index of the glass-ceramic. 1-5 denoted as ...

[0016] In a further improvement to the above-mentioned method for optimizing the process parameters of glass-ceramic fabrication, in step S4, the target performance indicators include at least one of micro Vickers hardness, flexural strength, density, crystal content, and cell size.

[0017] The above-mentioned method for optimizing the process parameters of glass-ceramic fabrication is further improved in step S3, where the target performance index is micro Vickers hardness. The corresponding model for the micro Vickers hardness of the glass-ceramic and the influencing factors in the fabrication process is as follows:

[0018] G1=-18446+540.0X1+63.47X2-12.695X3-216.7X1×X1-0.040556X2×X2+0.006533X3×X3 (1);

[0019] In formula (1), G1 is the micro Vickers hardness of the glass-ceramic, X1 is the raw material ratio used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

[0020] The above-mentioned method for optimizing the process parameters for manufacturing microcrystalline glass can be further improved in step S3.

[0021] When the target performance index is crystal content, the model for the pyroxene ratio of the microcrystalline glass and the various influencing factors in the manufacturing process is as follows:

[0022] G2=-943+3.00 X1+2.438 X2+0.02267 X3-0.001520 X2×X2 (2);

[0023] In formula (2), G2 is the pyroxene content of the glass-ceramic, X1 is the raw material ratio used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

[0024] The above-mentioned method for optimizing process parameters in the fabrication of glass-ceramics is further improved in step S3, where the target performance index is the cell size. The corresponding model for the pyroxene cell size of the glass-ceramics and the influencing factors in the fabrication process is as follows:

[0025] G3=246119+3665X1-279.7X2-285.2X3-1183X1×X1+0.1766X2×X2+0.1483X3×X3 (3);

[0026] In formula (3), G3 is the size of the pyroxene unit cell of the glass-ceramic, X1 is the raw material ratio used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

[0027] The above-mentioned method for optimizing the process parameters for manufacturing glass-ceramics is further improved in step S3, specifically as follows:

[0028] S3-1. Calculate the mean and range of the evaluation index for each factor at each level based on the performance data of the microcrystalline glass corresponding to the evaluation index;

[0029] S3-2. Calculate the order of factors influencing the degree of influence of each evaluation indicator based on the range of the evaluation indicators;

[0030] S3-3. Based on the mean of the evaluation index and the degree of influence of each evaluation index, the optimal combination of factors and the optimal ratio of orthogonal experimental parameters are selected to determine the model of performance index and experimental factors.

[0031] The above-mentioned method for optimizing the process parameters of microcrystalline glass can be further improved by including the following influencing factors in step S1: raw material ratio, nucleation temperature, crystallization temperature, and heating rate.

[0032] The above-mentioned method for optimizing the process parameters for manufacturing microcrystalline glass can be further improved by the following step S2: The manufacturing process of the microcrystalline glass is as follows:

[0033] S2-1. Mix fly ash from waste incineration with waste glass, melt them, and obtain molten glass.

[0034] S2-2. The molten glass is quenched with water to obtain broken glass;

[0035] S2-3. Dry, disperse, and sieve the broken glass to obtain glass powder;

[0036] S2-4. Press the glass powder and binder into shape;

[0037] S2-5. Nucleation and crystallization treatments are performed on the pressed product to obtain microcrystalline glass.

[0038] In a further improvement to the above-mentioned method for optimizing the process parameters of microcrystalline glass, in step S2-1, the mass ratio of the waste incineration fly ash to the waste glass is 1.2 to 1.6:1; the melting temperature is 1200 to 1400℃; and the melting time is 0.5h to 2h.

[0039] In a further improvement to the above-mentioned method for optimizing the process parameters of microcrystalline glass, in step S2-3, the particle size of the glass powder is 0.075mm to 20mm.

[0040] In a further improvement to the above-mentioned method for optimizing the process parameters of microcrystalline glass, in steps S2-4, the amount of binder added is 1% to 10% of the mass of the glass powder; the binder is at least one of paraffin wax or PVA; during the pressing process, the pressure is between 10 MPa and 50 MPa, the degreasing temperature is between 200℃ and 400℃, and the degreasing time is between 0.5 h and 1 h.

[0041] In a further improvement to the above-mentioned method for optimizing the process parameters of microcrystalline glass, in steps S2-5, the nucleation treatment temperature is 650℃~850℃; the nucleation treatment time is 0.5h~3h; the crystallization treatment temperature is 850℃~1050℃; and the crystallization treatment time is 0.5h~3h.

[0042] Compared with the prior art, the advantages of the present invention are as follows:

[0043] This invention provides a method for optimizing process parameters in the fabrication of glass-ceramics. First, based on experimental conditions related to the performance indicators of glass-ceramics in the fabrication process, orthogonal experimental parameters are designed, and an orthogonal experimental scheme is determined. Then, glass-ceramics are fabricated according to the orthogonal experimental scheme, and their performance indicators are obtained. Minitab is used to fit the performance indicators of glass-ceramics obtained under different orthogonal experimental schemes, determining the model between the performance indicators of glass-ceramics and each influencing factor in the fabrication process. Finally, based on the determined performance indicators of glass-ceramics and the model of each influencing factor in the fabrication process, and taking the target performance indicators of the glass-ceramics to be fabricated as the response target, the optimal process parameters for each influencing factor in the fabrication process of glass-ceramics are obtained. In this invention, based on the determined performance indicators of the glass-ceramic and the models of various influencing factors in the manufacturing process, and taking the target performance indicators of the glass-ceramic to be manufactured as the response target, the optimal process parameters of each influencing factor in the manufacturing process of the glass-ceramic can be quickly obtained. It has the advantages of convenient operation, short time consumption, wide application range, high efficiency, strong flexibility, effective avoidance of single consideration of a certain indicator, and more intuitiveness. It is a new method that can be widely adopted, can greatly reduce the amount of experiments, and can obtain the most accurate optimal experimental conditions. It is of great significance for further improving the performance of glass-ceramic and reducing energy consumption. Attached Figure Description

[0044] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0045] Figure 1 This is a schematic diagram of the process parameter optimization for manufacturing microcrystalline glass in Embodiment 1 of the present invention.

[0046] Figure 2a-d is a fitting effect diagram of the performance indicators of the microcrystalline glass prepared under different orthogonal experimental schemes in Example 1 of the present invention.

[0047] Figure 3 The Pareto diagram shows the normalization effect of the pyroxene ratio, micro-Vickers hardness, and pyroxene cell size after fitting in Example 1 of this invention.

[0048] Figure 4 This is a distribution diagram of the micro Vickers hardness as a function of various factors in the model fitting results of Embodiment 1 of the present invention.

[0049] Figure 5 This is a SEM image of the microcrystalline glass produced under optimal process parameters according to Embodiment 1 of the present invention.

[0050] Figure 6 This is a porosity distribution diagram of the microcrystalline glass produced under optimal process parameters according to Embodiment 1 of the present invention.

[0051] Figure 7 The graph shows the performance test results of the microcrystalline glass produced under optimal process parameters according to Embodiment 1 of the present invention. Detailed Implementation

[0052] The present invention will be further described below with reference to the accompanying drawings and specific preferred embodiments, but this does not limit the scope of protection of the present invention.

[0053] Example 1

[0054] A method for optimizing process parameters in the fabrication of glass-ceramics, the optimized process is as follows: Figure 1 As shown, it includes the following steps:

[0055] S1. Based on the experimental conditions related to the performance indicators of glass-ceramics in the manufacturing process, design orthogonal experimental parameters and determine the orthogonal experimental scheme, as follows:

[0056] Choose an appropriate ratio of fly ash to waste glass as the mixing condition, select a temperature within the nucleation temperature range as the nucleation condition, and select a temperature within the crystallization temperature range as the crystallization condition. Establish an orthogonal array based on these three experimental conditions, as shown in Table 1.

[0057] Table 1 Orthogonal Experimental Design

[0058]

[0059] S2. Fabricate microcrystalline glass according to the orthogonal experimental design and obtain the performance indicators of microcrystalline glass.

[0060] Based on the orthogonal experimental schemes in Table 1, microcrystalline glass was fabricated. The fabrication process is as follows:

[0061] S2-1. According to the proportions shown in Table 1, mix unwashed waste incineration fly ash and waste glass, heat to 1400℃, and keep at that temperature for 2 hours to melt the materials under high temperature conditions to obtain molten glass.

[0062] S2-2. The molten glass is quenched with water to obtain broken glass.

[0063] S2-3. Dry, disperse and sieve the crushed glass to obtain glass powder with a particle size of 0.075 mm to 20 mm.

[0064] S2-4. The amount of binder added is 10% of the mass of glass powder. The glass powder and binder are pressed into shape. The binder is PVA. During the pressing process, the pressure is 40MPa, the degreasing temperature is 400℃, and the degreasing time is 0.5h to 1h.

[0065] S2-5. According to the conditions shown in Table 1, nucleation and crystallization treatments are performed on the pressed product. The nucleation treatment time is 2 hours, the crystallization treatment time is 2 hours, and the heating rate during the nucleation and crystallization treatments is 5℃ / min to obtain microcrystalline glass.

[0066] The properties of the glass-ceramics prepared under different experimental conditions were tested, as shown in Table 2. In this invention, crystal content and cell size are also free variables and can be replaced according to different crystals. In Example 1, the pyroxene content and pyroxene cell size were used.

[0067] Table 2 Performance indicators of glass-ceramics prepared under different experimental conditions

[0068]

[0069] S3. Minitab was used to fit the performance indicators of the glass-ceramics prepared under different orthogonal experimental schemes, and the model of the performance indicators of the glass-ceramics and the influencing factors in the manufacturing process was determined, as follows:

[0070] S3-1. In minitab, fit the data obtained from Tables 1 and 2 using functions. Based on the microcrystalline glass performance data values ​​corresponding to the evaluation indicators, calculate the mean and range of the evaluation indicators for each factor at each level.

[0071] Figure 2a -d is a fitting effect diagram of the performance indicators of the microcrystalline glass prepared under different orthogonal experimental schemes in Example 1 of the present invention. Figure 2aAs can be seen from the -d graph, the variation of each performance index with experimental conditions can be seen intuitively, which can better understand how different experimental conditions affect the composition and performance of glass-ceramics. Among them, crystal content, cell size and micro Vickers hardness have obvious variation trends, and each has its extreme value within the designed experimental conditions.

[0072] S3-2. Based on the range of the evaluation indicators, calculate the order of factors affecting the degree of influence of each evaluation indicator.

[0073] S3-3. Based on the mean of the evaluation index and the degree of influence of each evaluation index, the optimal combination of factors and the optimal ratio of orthogonal experimental parameters are selected to determine the model of performance index and experimental factors.

[0074] When the performance index is micro Vickers hardness, the final determined model of the micro Vickers hardness of the glass-ceramic and the influencing factors in the manufacturing process is as follows:

[0075] G1=-18446+540.0X1+63.47X2-12.695X3-216.7X1×X1-0.040556X2×X2+0.006533X3×X3 (1);

[0076] In formula (1), G1 is the micro Vickers hardness of the glass-ceramic, X1 is the raw material ratio used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

[0077] When the target performance indicator is crystal content, the final model for the pyroxene content of the glass-ceramic and the various influencing factors in the manufacturing process is as follows:

[0078] G2=-943+3.00 X1+2.438 X2+0.02267 X3-0.001520 X2×X2 (2);

[0079] In formula (2), G2 is the pyroxene content of the glass-ceramic, X1 is the raw material ratio used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

[0080] When the target performance index is the cell size, the final model for the pyroxene cell size of the glass-ceramic and the influencing factors in the manufacturing process is as follows:

[0081] G3=246119+3665X1-279.7X2-285.2X3-1183X1×X1+0.1766X2×X2+0.1483X3×X3 (3);

[0082] In formula (3), G3 is the size of the pyroxene unit cell of the glass-ceramic, X1 is the raw material ratio used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

[0083] Factorial analysis of variance was performed on the model determined above, and the results are shown in Table 3-5.

[0084] Table 3. Analysis of Variance for Pyroxene Proportion

[0085] source Degrees of freedom Adj SS Adj MS F value p-value return 4 38.349 9.5872 11.19 0.019 Proportion 1 2.160 2.1600 2.52 0.188 Nucleation temperature 1 6.911 6.9114 8.07 0.047 Crystallization temperature 1 7.707 7.7067 9.00 0.040 Nucleation temperature * Nucleation temperature 1 6.608 6.6076 7.71 0.050 error 4 3.427 0.8567 total 8 41.776

[0086] Table 4. Analysis of Variance of MicroVickers Hardness

[0087]

[0088]

[0089] Table 5. Analysis of variance of pyroxene unit cell size

[0090] source Degrees of freedom Adj SS Adj MS F value p-value return 6 539712 89952 28.80 0.034 Proportion 1 5473 5473 1.75 0.317 Nucleation temperature 1 90993 90993 29.13 0.033 Crystallization temperature 1 270161 270161 86.49 0.011 Ratio * Ratio 1 4481 4481 1.43 0.354 Nucleation temperature * Nucleation temperature 1 89241 89241 28.57 0.033 Crystallization temperature * Crystallization temperature 1 274788 274788 87.98 0.011 error 2 6247 3123 total 8 545959

[0091] According to the model summary (Table 6), the standard deviation S is relatively small, the R-sq and R-sq adjustments are quite close, and the R-sq prediction is relatively large. Based on the above, the model is considered to have a high degree of fit.

[0092] Table 6 Model Summary Table

[0093] S R-sq R-sq (adjustment) R-sq (prediction) 55.8878 98.86％ 95.42％ 76.83％

[0094] Figure 3 This is a Pareto plot showing the normalized effect of the pyroxene proportion, micro-Vickers hardness, and pyroxene cell size after fitting data in Example 1 of this invention. Figure 3 It can be seen that as the color becomes darker, the micro Vickers hardness of the glass-ceramic increases accordingly, resulting in stronger performance. Figure 3 The table on the right shows the optimal conditions.

[0095] S4. Based on the performance indicators of the microcrystalline glass determined in S3 and the models of various influencing factors in the manufacturing process, with the target performance indicators of the microcrystalline glass to be manufactured as the response target, optimize the parameters of each parameter in the manufacturing process of the microcrystalline glass to obtain the optimal process parameters of each influencing factor in the manufacturing process of the microcrystalline glass.

[0096] Figure 4 This is a distribution diagram of the microVickers hardness as a function of various factors in the model fitting results of Embodiment 1 of the present invention. Figure 4It can be seen that when the micro Vickers hardness of glass-ceramics is between 500-650 HV, the corresponding final process parameters of each influencing factor in the manufacturing process of glass-ceramics are: a ratio of 1.4, a nucleation temperature of 786.667℃, and a crystallization temperature of 970℃.

[0097] Verification test

[0098] According to the optimized process parameters, specifically: the ratio is 1.4, the nucleation temperature is 786.667℃, the crystallization temperature is 970℃, and the other process conditions remain unchanged, microcrystalline glass is produced.

[0099] The newly manufactured glass-ceramic was tested, and the results are as follows: Figures 5 to 7 As shown.

[0100] Figure 5 This is a SEM image of the microcrystalline glass fabricated under optimal process parameters according to Embodiment 1 of the present invention. Figure 5 As can be seen, the pores on its surface are evenly distributed and the pore size is very small, with no transparent holes. This results in low water absorption and extremely strong physical properties. In addition, the crystallization of the microcrystalline glass is also very uniform.

[0101] Figure 6 This is a porosity distribution diagram of the microcrystalline glass produced under optimal process parameters according to Embodiment 1 of the present invention. Figure 6 It can be clearly observed that the porosity distribution is very uniform, which greatly improves the performance of glass-ceramics.

[0102] Figure 7 This is a graph showing the performance test results of the microcrystalline glass produced under optimal process parameters according to Embodiment 1 of the present invention. Figure 7 It can be seen that the micro Vickers hardness of the glass-ceramic is 591.6 Hv, the pyroxene content is 65.9%, and the pyroxene unit cell size is...

[0103] As can be seen from the above results, in this invention, based on the determined performance indicators of the microcrystalline glass and the model of each influencing factor in the manufacturing process, and taking the target performance indicator of the microcrystalline glass to be manufactured as the response target, the optimal process parameters of each influencing factor in the manufacturing process of the microcrystalline glass can be quickly obtained. It has the advantages of convenient operation, short time consumption, wide application range, high efficiency, strong flexibility, effective avoidance of single consideration of a certain indicator, and more intuitiveness. It is a new method that can be widely adopted, can greatly reduce the amount of experimentation, and can obtain the most accurate optimal experimental conditions. It is of great significance for further improving the performance of microcrystalline glass and reducing energy consumption.

[0104] The above embodiments are merely preferred embodiments of the present invention, and the scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for optimizing process parameters in the fabrication of glass-ceramics, characterized in that, Includes the following steps: S1. Based on the experimental conditions related to the performance indicators of microcrystalline glass in the manufacturing process, select the mass ratio of waste incineration fly ash to waste glass as the mixing condition, select the temperature within the nucleation temperature range as the nucleation condition, select the temperature within the crystallization temperature range as the crystallization condition, design orthogonal experimental parameters, and determine the orthogonal experimental scheme. S2. Fabricate microcrystalline glass according to the orthogonal experimental design and obtain the performance indicators of microcrystalline glass; S3. Minitab was used to fit the performance indicators of the glass-ceramics prepared under different orthogonal experimental schemes, and the model of the performance indicators of the glass-ceramics and the influencing factors in the manufacturing process was determined. S4. Based on the determined performance indicators of the microcrystalline glass and the model of each influencing factor in the manufacturing process, take the target performance indicators of the microcrystalline glass to be manufactured as the response target, optimize each parameter in the manufacturing process of the microcrystalline glass, and obtain the optimal process parameters of each influencing factor in the manufacturing process of the microcrystalline glass. When the target performance index is micro Vickers hardness, the corresponding model for the micro Vickers hardness of the glass-ceramic and the influencing factors in the manufacturing process is as follows: G1=-18446 + 540.0 X1+ 63.47 X2 - 12.695 X3 - 216.7 X1×X1 - 0.040556 In formula (1), G1 is the micro Vickers hardness of the glass-ceramic, X1 is the mass ratio of waste incineration fly ash to waste glass used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process. When the target performance index is crystal content, the model for the pyroxene ratio of the microcrystalline glass and the influencing factors in the manufacturing process is as follows: G2=-943 + 3.00 X1 + 2.438 X2 + 0.02267 X3 - 0.001520 X2 × X2 (2); In formula (2), G2 is the pyroxene ratio of the microcrystalline glass, X1 is the mass ratio of waste incineration fly ash to waste glass used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process. When the target performance index is the cell size, the corresponding model for the pyroxene cell size of the glass-ceramic and the influencing factors in the manufacturing process is as follows: G3 = 246119 + 3665 X1 - 279.7 X2 - 285.2 X3 - 1183 X1×X1 + 0.1766 X2×X2 +0.1483 X3×X3 (3); In formula (3), G3 is the size of the pyroxene unit cell of the glass-ceramic, X1 is the mass ratio of waste incineration fly ash to waste glass used in the manufacturing process, X2 is the nucleation temperature used in the manufacturing process, and X3 is the crystallization temperature used in the manufacturing process.

2. The method for optimizing process parameters for manufacturing microcrystalline glass according to claim 1, characterized in that, In step S3, specifically: S3-1. Calculate the mean and range of the evaluation index for each factor at each level based on the performance data of the microcrystalline glass corresponding to the evaluation index; S3-2. Calculate the order of factors influencing the degree of influence of each evaluation indicator based on the range of the evaluation indicators; S3-3. Based on the mean of the evaluation index and the degree of influence of each evaluation index, the optimal combination of factors and the optimal ratio of orthogonal experimental parameters are selected to determine the model of performance index and experimental factors.

3. The method for optimizing process parameters for manufacturing microcrystalline glass according to claim 1, characterized in that, In step S2, the fabrication process of the microcrystalline glass is as follows: S2-1. Mix fly ash from waste incineration with waste glass, melt them, and obtain molten glass. S2-2. The molten glass is quenched with water to obtain broken glass; S2-3. Dry, disperse, and sieve the broken glass to obtain glass powder; S2-4. Press the glass powder and binder into shape; S2-5. Nucleation and crystallization treatments are performed on the pressed product to obtain microcrystalline glass.

4. The method for optimizing process parameters for manufacturing microcrystalline glass according to claim 3, characterized in that, In step S2-1, the mass ratio of the waste incineration fly ash to the waste glass is 1.2 to 1.6:1; the melting temperature is 1200 to 1400℃, and the melting time is 0.5h to 2h. In steps S2-3, the particle size of the glass powder is 0.075 mm to 20 mm; In steps S2-4, the amount of binder added is 1% to 10% of the mass of the glass powder; the binder is at least one of paraffin wax or PVA; during the pressing process, the pressure is between 10 MPa and 50 MPa, the degreasing temperature is between 200℃ and 400℃, and the degreasing time is between 0.5h and 1h. In steps S2-5, the nucleation treatment temperature is 650℃~850℃; the nucleation treatment time is 0.5h~3h; the crystallization treatment temperature is 850℃~1050℃; and the crystallization treatment time is 0.5h~3h.

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