Method for improving clarification effect in melting process of float glass batch and float glass batch
By using silica sand batching with specific particle size distribution and real-time bubble monitoring technology, the problems of heat transfer obstruction, bubble residue and high energy consumption in float glass production have been solved, achieving efficient clarification and cost optimization, and is applicable to a variety of glass products.
Patent Information
- Application Number
- CN202511953295.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-23
- Publication Date
- 2026-02-27
AI Technical Summary
The high proportion of fine sand in existing float glass production leads to problems such as hindered heat transfer, numerous residual bubbles, high energy consumption, and high costs. Furthermore, traditional silica sand particle size distribution schemes cannot effectively solve the problems of high-temperature heat transfer and bubble clarification in float glass melting.
A silica sand batch with a specific particle size distribution is used, including first silica sand of 0.28~0.45mm, second silica sand of 0.125~0.28mm and third silica sand of <0.125mm. Combined with a visual melting device and a depth-first search algorithm, bubbles are monitored and quantified in real time, the melting process parameters are optimized, and a closed-loop feedback mechanism is formed.
It achieves improved heat transfer efficiency and controls the number of bubbles to within 4 per cm3, meeting the requirements of high-end electronic glass, reducing energy consumption and optimizing costs, and is suitable for multiple scenarios such as ultra-clear glass, electronic glass and architectural float glass.
Smart Images

Figure CN121573908A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of float glass preparation, and particularly relates to a method for improving the refining effect in the melting process of float glass batch and a float glass batch. BACKGROUND
[0002] The market competition of ultra-thin electronic glass is becoming increasingly fierce, and product quality has become a core element for occupying the market. In the chemical composition of commercial substrate glass, the mass ratio of SiO2 is about 60%, and silica sand, as the main source of SiO2, has the highest proportion in the glass batch, and its performance directly determines the glass melting efficiency and the quality of the final product.
[0003] According to the Baur-Vogel theory, the glass formation time is positively correlated with the particle size of silica sand, that is, the coarser the particle size of silica sand, the slower the reaction rate; the finer the particle size, the faster the reaction rate, and the glass formation time is correspondingly shortened. Based on this theory, the existing production often shortens the melting time by increasing the proportion of fine sand, but this method has significant technical defects:
[0004] ①Heat transfer is blocked and energy consumption increases: When the proportion of fine sand is too high, the upper surface of the fine sand melts rapidly at the initial stage of batch melting, forming a semi-molten glass body containing a large number of small bubbles. Such small bubbles cannot be fused into large bubbles and discharged from the kiln body at the low temperature stage, and when the mixed material enters the high temperature zone, the semi-molten glass body containing small and dense bubbles forms an insulating layer, blocking the heat transfer of the flame to the lower layer of batch, not only reducing the melting speed, but also leading to a substantial increase in energy consumption.
[0005] ②The quality of refining decreases: The excessive content of fine powder will cause a violent solid-phase reaction at the initial stage of refining, generating small and dense bubbles. These bubbles are difficult to completely remove during the refining process, and a large number of them remain in the glass liquid, leading to excessive bubbles in the glass product, affecting the key performance such as transmittance and mechanical strength, and failing to meet the stringent requirements of high-end electronic glass on the quality of refining.
[0006] ③Conflict between cost and performance: In the existing technology, in order to balance the melting efficiency and product quality, high-purity fine sand is often used, which not only increases the cost of raw materials, but also cannot completely solve the problems of fine sand agglomeration or bubble residue, leading to the technical dilemma of high cost but difficult to obtain high quality.
[0007] In addition, CN108483901A discloses an alkali-free glass batch with a particle size grading of silica sand, which solves the problem of silica sand agglomeration in the melting of alkali-free glass by optimizing the particle size grading of silica sand, but still has obvious limitations, such as it is aimed at the alkali-free glass system, the particle size range of silica sand is concentrated in 0.045-0.15 mm, and it does not involve the high-temperature heat transfer and bubble refining mechanism specific to float glass melting; at the same time, it does not propose how to quantitatively detect bubbles, and cannot be directly applied to the high-temperature melting and refining scene of float glass batch.
[0008] In view of this, the present application aims to break through the bottleneck of the prior art, provide a method for improving the refining effect in the melting process of float glass batch materials, obtain a silica sand particle size grading scheme suitable for the float glass production system, consider efficiency and quality, and solve the problems of low melting efficiency, poor refining, high energy consumption and high cost of silica sand particles in the melting of float glass. SUMMARY
[0009] To solve the above technical problems, the present application provides a method for improving the refining effect in the melting process of float glass batch materials and a float glass batch material, which solves the problems of heat transfer obstruction, many bubble residues, high energy consumption and high cost caused by traditional high fine sand ratio, and overcomes the defects of poor raw material adaptability or rough evaluation means of refining effect of traditional melting process.
[0010] To achieve this purpose, the present application adopts the following technical solutions:
[0011] In a first aspect, the present application provides a float glass batch material, wherein SiO2 in the float glass batch material is selected from silica sand, the silica sand includes first silica sand with a particle size of 0.28-0.45mm, second silica sand with a particle size of 0.125-0.28mm and third silica sand with a particle size of <0.125mm, and the particle size of the first silica sand is greater than the particle size of the second silica sand.
[0012] The content of the third silica sand is 9-15wt% based on 100wt% of the total mass of the silica sand.
[0013] The first silica sand with a particle size of 0.28-0.45mm may be, for example, 0.28mm, 0.30mm, 0.32mm, 0.35mm, 0.38mm, 0.40mm, 0.43mm or 0.45mm, etc.; the second silica sand with a particle size of 0.125-0.28mm may be, for example, 0.125mm, 0.15mm, 0.175mm, 0.20mm, 0.225mm, 0.25mm, 0.265mm or 0.28mm, etc.; the third silica sand with a particle size of <0.125mm may be, for example, 0.12mm, 0.11mm, 0.10mm, 0.09mm, or 0.08mm, etc.; and the content of the third silica sand is 9-15wt%, for example, 9wt%, 9.5wt%, 10wt%, 10.5wt%, 11wt%, 11.2wt%, 11.4wt%, 11.6wt%, 11.8wt%, 12wt%, 12.5wt%, 13wt%, 13.5wt%, 14wt%, 14.5wt% or 15wt%, etc.
[0014] The float glass batch material described in the application is obtained by adjusting the method described in the second aspect, and is oriented to the function requirements of the whole melting process, reconstructs the size distribution design of silica sand, proposes the universal size distribution principle of "coarse sand skeleton-medium sand transition-fine sand gap filling", the functions of each particle size segment are clear, and the cooperation of heat transfer-reaction-bubble control is realized; wherein the first silica sand with a particle size of 0.28-0.45 mm, i.e. coarse sand particles, serves as a melting skeleton, maintains the gap between particles in the early stage of melting, avoids the formation of an insulating layer due to the agglomeration of fine sand, and ensures the efficiency of flame heat transfer; the second silica sand with a particle size of 0.125-0.28 mm, i.e. medium sand particles, fills the gap between coarse sand particles for transition, promotes the uniformity of the overall reaction of the batch material, avoids the residual of local unmelted material, and eliminates the reaction dead angle; the third silica sand with a particle size of <0.125 mm, i.e. fine sand particles, further fills the gap as a reaction initiator, balances the reaction rate and bubble generation, and by controlling the content of the third silica sand to be 9-15 wt%, the reaction rate requirement is met, and the dense generation of bubbles due to excessive fine sand is avoided.
[0015] Preferably, the content of the third silica sand in the silica sand is 11-12 wt% based on the total mass of the silica sand being 100 wt%.
[0016] Preferably, the content of the first silica sand in the silica sand is 66-67 wt% based on the total mass of the silica sand being 100 wt%, for example, it can be 66 wt%, 66.2 wt%, 66.4 wt%, 66.6 wt%, 66.8 wt% or 67 wt%, etc.
[0017] Preferably, the content of the second silica sand in the silica sand is 22-23 wt% based on the total mass of the silica sand being 100 wt%, for example, it can be 22 wt%, 22.2 wt%, 22.4 wt%, 22.6 wt%, 22.8 wt% or 23 wt%, etc.
[0018] Preferably, the float glass batch material comprises SiO2: 69.46-73 wt%, Al2O3: 1-2 wt%, Na2O: 10-15 wt%, K2O: 0.85-1.02 wt%, CaO: 5-15 wt%, MgO: 4-5 wt%, Fe2O3: 0.08-0.1 wt% based on the total mass of the float glass batch material being 100 wt%.
[0019] SiO2: 69.46~73wt%, for example, it can be 69.46wt%, 70wt%, 70.5wt%, 71wt%, 71.5wt%, 72wt%, 72.5wt% or 73wt% and the like; Al2O3: 1~2wt%, for example, it can be 1wt%, 1.2wt%, 1.5wt%, 1.8wt% or 2wt% and the like; Na2O: 10~15wt%, for example, it can be 10wt%, 11wt%, 12wt%, 13wt%, 14wt% or 15wt% and the like; K2O: 0.85~1.02wt%, for example, it can be 0.85wt%, 0.90wt%, 0.93wt%, 0.95wt%, 0.97wt% or 1.02wt% and the like; CaO: 5~15wt%, for example, it can be 5wt%, 7wt%, 10wt%, 12wt% or 15wt% and the like; MgO: 4~5wt%, for example, it can be 4wt%, 4.2wt%, 4.5wt%, 4.8wt% or 5wt% and the like; Fe2O3: 0.08~0.1wt%, for example, it can be 0.08wt%, 0.085wt%, 0.09wt%, 0.095wt% or 0.1wt% and the like.
[0020] In a second aspect, the present application provides a method for improving the refining effect in the melting process of the float glass batch, the method comprising the following steps:
[0021] (1) performing melting treatment on the float glass batch and collecting the melt sample images in real time;
[0022] (2) identifying and quantifying the bubbles in the melt sample images of step (1) to evaluate the refining effect;
[0023] (3) adjusting the composition of the float glass batch of step (1) and the process of the melting treatment of step (1) according to the refining effect of step (2).
[0024] It is worth noting that the method of the present application realizes closed-loop feedback, the real-time collection of the melt sample images in step (1) combined with the evaluation of the refining effect by identifying and quantifying the bubbles in step (2), realizes the instant correlation of the particle size grading and the melting process parameters in step (3), forms a monitoring-analysis-optimization closed-loop system, and obtains the optimized composition of the float glass batch and the process of the melting treatment, thereby improving the refining effect in the melting process of the float glass batch; wherein if the bubbles increase suddenly, the proportion of the third silica sand, i.e. fine sand, or the heating rate can be adjusted, solving the problem of detection lag in the prior art, and the method of the present application has strong adaptability and can be adapted to multiple scenarios such as ultra-white glass, electronic glass and architectural float glass, covering the main submarkets of float glass and greatly improving the application value.
[0025] Preferably, the method adjusts the composition of the float glass batch material of the first aspect.
[0026] Preferably, the composition of the float glass batch material of step (1) includes any one or a combination of at least two of component species, component particle size or component content, wherein typical but non-limiting combinations include a combination of component species and component particle size, a combination of component particle size and component content, or a combination of component species and component content, etc.
[0027] Preferably, the process of the melting treatment of step (1) includes any one or a combination of at least two of the number of temperature rising stages, the temperature rising rate, the end point temperature of temperature rising or the holding time, wherein typical but non-limiting combinations include a combination of the number of temperature rising stages and the temperature rising rate, a combination of the temperature rising rate and the end point temperature of temperature rising, or a combination of the number of temperature rising stages and the holding time, etc.
[0028] Preferably, the melting treatment of step (1) is performed in a visual melting device.
[0029] Preferably, the visual melting device includes an image automatic acquisition component for acquiring images of the melt sample.
[0030] Preferably, the identification and quantification of the bubbles in the melt sample images of step (1) of step (2) is performed using a depth-first search algorithm.
[0031] Preferably, the identification and quantification of the bubbles in the melt sample images of step (1) of step (2) includes identifying bubble domains and quantifying the number of bubbles.
[0032] The method of the present application also introduces a real-time detection system of a visual melting device (high temperature) and a depth-first search algorithm, which is real-time: the visual melting device starts image automatic acquisition (at intervals of 30 s) when the temperature reaches 1000℃, dynamically capturing the bubble generation and discharge process, and quantitative: accurately quantifying the number of bubbles through the algorithm.
[0033] Preferably, the process of the melting treatment obtained by the method includes a first temperature rising, a second temperature rising and a holding in sequence.
[0034] Preferably, the temperature rising rate of the first temperature rising is 8~10℃ / min, for example, it can be 8℃ / min, 8.2℃ / min, 8.5℃ / min, 8.8℃ / min, 9℃ / min, 9.2℃ / min, 9.5℃ / min, 9.8℃ / min or 10℃ / min, etc.
[0035] Preferably, the end point temperature of the first temperature rising is 900~1000℃, for example, it can be 900℃, 920℃, 950℃, 980℃ or 1000℃, etc.
[0036] Preferably, the second temperature rising has a temperature rising rate of 3-5℃ / min, for example, it can be 3℃ / min, 3.2℃ / min, 3.5℃ / min, 3.8℃ / min, 4℃ / min, 4.2℃ / min, 4.5℃ / min, 4.8℃ / min or 5℃ / min, etc.
[0037] Preferably, the second temperature rising has an end temperature of 1480-1500℃, for example, it can be 1480℃, 1485℃, 1490℃, 1495℃ or 1500℃, etc.
[0038] Preferably, the holding has a time of 2-3h, for example, it can be 2h, 2.5h or 3h, etc.
[0039] The method of the present application designs the process of stepwise temperature rising combined with precise holding, which is matched with the particle size grading depth of the float glass batch, the fast temperature rising in the low temperature stage, the fast start of melting by using the high reactivity of the third silica sand (i.e. fine sand), the avoidance of the unmelting residues caused by the long-term low temperature of the first silica sand (i.e. coarse sand), the slow temperature rising in the high temperature stage, the heat transfer advantage of the coarse sand skeleton, the sufficient time for the bubbles to fuse and float out, the complete reaction of the second silica sand (i.e. medium sand) and the residual coarse particles in the holding stage, and the elimination of the micro bubbles, the function-parameter linkage of the particle size grading of the silica sand, and the solution of the problem of the disconnection between the grading and the process in the prior art.
[0040] Preferably, before the melting treatment in step (1), the float glass batch is further subjected to ball milling mixing of each raw material according to the formula to obtain a mixed material.
[0041] Preferably, the ball milling mixing has a rotating speed of 400-500r / min, for example, it can be 400 r / min, 420 r / min, 440 r / min, 460 r / min, 480 r / min or 500 r / min, etc.
[0042] Preferably, the ball milling mixing has a time of 15-20min, for example, it can be 15min, 16min, 17min, 18min, 19min or 20min, etc.
[0043] Compared with the prior art, the present application has at least the following beneficial effects:
[0044] (1) The float glass batch provided by the present application is obtained by adjusting the method according to the second aspect, and the silica sand with specific particle size grading is used to realize the cooperation of heat transfer-reaction-bubble control by adopting the universal grading principle of coarse sand skeleton-medium sand transition-fine sand gap filling, so that the problems of heat transfer obstruction, energy consumption increase, quality decline and high cost and low quality caused by the existing technology of shortening the melting time by increasing the proportion of fine sand are solved.
[0045] (2) The method for synchronously and quantitatively evaluating the refining effect of the float glass batch provided by the present application, the refining effect obtained by identifying and quantifying the bubbles based on the depth-first algorithm combined with the high-temperature visual melting device is used to timely adjust the composition of the float glass batch and the process of the melting treatment, realize the correlation of the refining effect and the particle size grading and the melting process parameters, form a monitoring-analysis-optimization closed loop system, and obtain the optimized composition of the float glass batch and the process of the melting treatment, realize the visualization and controllability of the melting process; and the composition of the float glass batch and the process of the melting treatment obtained by adjusting the composition of the float glass batch and the process of the melting treatment, cooperate to control the number of bubbles in the melting sample to be less than or equal to 4 / cm 3 , and there is no problem of dense micro-bubbles, which meets the requirements of high-end electronic glass; compared with the prior art, the refining effect evaluation method is more scientific and objective. BRIEF DESCRIPTION OF DRAWINGS
[0046] Figure 1 is the melting sample image after 2.5h of heat preservation in the method for synchronously and quantitatively evaluating the refining effect of the float glass batch provided by the present application.
[0047] Figure 2 is the melting sample image after 2.5h of heat preservation in the method for synchronously and quantitatively evaluating the refining effect of the float glass batch provided by the present application.
[0048] Figure 3 is the melting sample image after 2.5h of heat preservation in the method for synchronously and quantitatively evaluating the refining effect of the float glass batch provided by the present application.
[0049] Figure 4 is the melting sample image after 2.5h of heat preservation in the method for synchronously and quantitatively evaluating the refining effect of the float glass batch provided by the present application.
[0050] Figure 5 is the melting sample image after 2.5h of heat preservation in the method for synchronously and quantitatively evaluating the refining effect of the float glass batch provided by the present application.
[0051] Figure 6This is a melt sample image after 2.5 hours of heat preservation in step (2) of the method for synchronous quantitative evaluation of clarification effect of float glass batch melting provided in Embodiment 6 of the present invention.
[0052] Figure 7 This is a melt sample image after 2.5 hours of heat preservation in step (2) of the method for synchronous quantitative evaluation of clarification effect of float glass batch melting provided in Embodiment 7 of the present invention.
[0053] Figure 8 This is a melt sample image after 2.5 hours of heat preservation in step (2) of the method for synchronous quantitative evaluation of clarification effect of float glass batch melting provided in Embodiment 8 of the present invention.
[0054] Figure 9 This is a melt sample image after 2.5 hours of heat preservation in step (2) of the method for simultaneous quantitative evaluation of the clarification effect of float glass batch melting provided in Comparative Example 1 of this invention.
[0055] Figure 10 This is a melt sample image after 2.5 hours of heat preservation in step (2) of the method for synchronous quantitative evaluation of clarification effect of float glass batch melting provided in Comparative Example 2 of the present invention.
[0056] Figure 11 This is a melt sample image after 2.5 hours of heat preservation in step (2) of the method for simultaneous quantitative evaluation of the clarification effect of float glass batch melting provided in Comparative Example 3 of the present invention. Detailed Implementation
[0057] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments. However, the following examples are merely simplified examples of the present invention and do not represent or limit the scope of protection of the present invention. The scope of protection of the present invention is determined by the claims.
[0058] The present invention provides a method for improving the clarification effect during the melting process of float glass batches, the method comprising the following steps:
[0059] (1) Melt the float glass batch and collect images of the melt sample in real time;
[0060] (2) Identify and quantify bubbles in the fusion sample image described in step (1) to assess the clarification effect;
[0061] (3) Adjust the composition of the float glass batch in step (1) and the melting process in step (1) according to the clarification effect described in step (2).
[0062] According to the above method, the composition of the float glass batch capable of achieving excellent clearing effect is determined, specifically, the float glass batch comprises SiO2: 69.46-73wt%, Al2O3: 1-2wt%, Na2O: 10-15wt%, K2O: 0.85-1.02wt%, CaO: 5-15wt%, MgO: 4-5wt%, Fe2O3: 0.08-0.1wt%, based on the total mass of the float glass batch being 100wt%;
[0063] The SiO2 in the float glass batch is selected from silica sand, the silica sand comprises first silica sand with a particle size of 0.28-0.45mm, second silica sand with a particle size of 0.125-0.28mm and third silica sand with a particle size of <0.125mm, and the particle size of the first silica sand is greater than the particle size of the second silica sand;
[0064] The content of the first silica sand in the silica sand is 66-67wt%, based on the total mass of the silica sand being 100wt%; the content of the second silica sand in the silica sand is 22-23wt%; and the content of the third silica sand is 9-15wt%.
[0065] According to the above method, the process of the melting treatment capable of achieving excellent clearing effect is determined, and the melting treatment process is carried out in a visual melting device, specifically comprising:
[0066] First, each raw material in the float glass batch is ball-mixed at 400-500r / min for 15-20min according to the formula to obtain a mixed material; then the mixed material is first heated to 900-1000℃ at a heating rate of 8-10℃ / min, and then second heated to 1480-1500℃ at a heating rate of 3-5℃ / min, and then kept for 2-3h.
[0067] The visual melting device in the following examples or comparative examples is produced by Beijing Xuhui New Ray Technology Co., Ltd., and the model is GWC-1650.
[0068] The depth-first search algorithm in the following examples or comparative examples adopts the specific steps provided in embodiment 1 of CN119648734A.
[0069] The composition of the float glass batch and the process of the melting treatment determined above are verified in the following single examples, and the clearing effect is evaluated one by one.
[0070] The specific component composition of the float glass batch in the following examples 1-3 is shown in table 1;
[0071] Table 1
[0072]
[0073] The silica sand in the following examples or comparative examples is sieved into three levels of 40 mesh (0.45 mm), 60 mesh (0.28 mm) and 120 mesh (0.125 mm) to ensure the accuracy of particle size grading.
[0074] I. Examples
[0075] Example 1
[0076] This example provides a kind of float glass batch, which uses the formula of Example 1 in Table 1; The silica sand grading of SiO2 in the float glass batch is shown in Table 2;
[0077] Table 2
[0078]
[0079] This example also provides a method for synchronous quantitative evaluation of refining effect during melting of float glass batch, which comprises the following steps:
[0080] (1) first, each raw material in the float batch is ball-milled at a speed of 450 r / min for 20 min according to the formula to obtain a mixture, and then the mixture is subjected to melting treatment in a visual melting device and real-time acquisition of melt sample images; the melting treatment comprises first heating at a rate of 9 ℃ / min to 950 ℃, then heating at a rate of 4 ℃ / min to 1490 ℃, and then holding for 2.5 h;
[0081] (2) the bubble domains and the number of bubbles in the melt sample images in step (1) are identified and quantified using a depth-first algorithm to evaluate the refining effect.
[0082] As shown in Figure 1 , which is the melt sample image in step (2) of this example when holding at 1490 ℃ for 2.5 h, the number of bubbles is only 3 per cm 3 , indicating excellent refining effect.
[0083] Example 2
[0084] This example provides a kind of float glass batch, which uses the formula of Example 2 in Table 1, and the silica sand grading of SiO2 in the float glass batch is shown in Table 3;
[0085] Table 3
[0086]
[0087] This example also provides a method for synchronous quantitative evaluation of refining effect during melting of float glass batch, which comprises the following steps:
[0088] (1) First, the raw materials in the float process batch are ball-milled and mixed at a speed of 500 r / min for 15 min according to the formula to obtain a mixture. Then, the mixture is melted in a video melting device and the melting sample image is acquired in real time. The melting process includes first heating to 900°C at a heating rate of 8°C / min, then heating to 1480°C at a heating rate of 3°C / min, and then holding at the temperature for 2.5 h.
[0089] (2) The depth-first algorithm is used to identify and quantify the bubble region and number of bubbles in the molten sample image of step (1) to evaluate the clarification effect.
[0090] like Figure 2 As shown, in this embodiment, the number of bubbles in the melt sample image after holding at 1480℃ for 2.5h in step (2) is only 4 per cm. 3 This indicates that its clarification effect is excellent, comparable to that of Example 1.
[0091] Example 3
[0092] This embodiment provides a float glass batch material, which adopts the formula of Example 3 in Table 1. The silica sand gradation of SiO2 in the float glass batch material is shown in Table 4.
[0093] Table 4
[0094]
[0095] This embodiment also provides a method for simultaneously and quantitatively evaluating the clarification effect during the melting of float glass batches, the method comprising the following steps:
[0096] (1) First, the raw materials in the float process batch are ball-milled and mixed at a speed of 400 r / min for 20 min according to the formula to obtain a mixture. Then, the mixture is melted in a video melting device and the melting sample image is acquired in real time. The melting process includes first heating to 1500℃ at a heating rate of 10℃ / min, then heating to 1500℃ at a heating rate of 5℃ / min, and then holding at the temperature for 2.5 h.
[0097] (2) The depth-first algorithm is used to identify and quantify the bubble region and number of bubbles in the molten sample image of step (1) to evaluate the clarification effect.
[0098] like Figure 3 As shown, in this embodiment, the number of bubbles in the melt sample image after holding at 1500℃ for 2.5h is only 4 per cm. 3 This indicates that its clarification effect is excellent, comparable to that of Example 1.
[0099] Example 4
[0100] The embodiment provides a float glass batch, wherein the mass content of third silica sand with a particle size <0.125 mm in the silica sand is 9wt% based on the total mass of the silica sand being 100wt%, the reduced mass content is proportionally distributed to the first silica sand and the second silica sand, and the rest is the same as in Embodiment 1.
[0101] The embodiment also provides a method for quantitatively evaluating the refining effect of a float glass batch melting process, wherein the method is the same as in Embodiment 1 except that the float glass batch in the embodiment is used.
[0102] As shown in the figure, it is the melt sample image in step (2) in the embodiment, and the number of bubbles is 9 / cm 3 , indicating that the refining effect is better. Figure 4
[0103] Embodiment 5
[0104] The embodiment provides a float glass batch, wherein the mass content of third silica sand with a particle size <0.125 mm in the silica sand is 15wt% based on the total mass of the silica sand being 100wt%, the increased mass content is proportionally reduced in the amount of the first silica sand and the second silica sand, and the rest is the same as in Embodiment 1.
[0105] The embodiment also provides a method for quantitatively evaluating the refining effect of a float glass batch melting process, wherein the method is the same as in Embodiment 1 except that the float glass batch in the embodiment is used.
[0106] As shown in the figure, it is the melt sample image in step (2) in the embodiment, and the number of bubbles is 9 / cm 3 , indicating that the refining effect is better. Figure 5
[0107] Embodiment 6
[0108] The embodiment provides a method for quantitatively evaluating the refining effect of a float glass batch melting process, wherein the method is the same as in Embodiment 1 except that the temperature is directly increased to 1490℃ at a temperature increasing rate of 9℃ / min.
[0109] As shown in the figure, it is the melt sample image in step (2) in the embodiment, and the number of bubbles is 6 / cm 3 , indicating that the refining effect is better. Figure 6
[0110] Embodiment 7
[0111] This embodiment provides a method for simultaneously and quantitatively evaluating the clarification effect during the melting of float glass batches. Except for directly heating to 1490°C at a heating rate of 4°C / min, the method is the same as in Embodiment 1.
[0112] like Figure 7 As shown, this is a melt image of the sample after being kept at 1490℃ for 2.5 hours in step (2) of this embodiment. It can be seen that the number of bubbles is 5 per cm. 3 This indicates that its clarification effect is superior.
[0113] Example 8
[0114] This embodiment provides a method for simultaneously and quantitatively evaluating the clarification effect during the melting of float glass batches. The method is the same as in Embodiment 1, except that the temperature is first raised to 950°C at a heating rate of 4°C / min, and then raised to 1490°C at a heating rate of 9°C / min, followed by holding at that temperature for 2.5 hours.
[0115] like Figure 8 As shown, this is a melt sample image from step (2) of this embodiment, after being kept at 1490℃ for 2.5 hours. It can be seen that the number of bubbles is 20 per cm. 3 This indicates that its clarification effect is relatively poor.
[0116] II. Comparative Example
[0117] Comparative Example 1
[0118] This comparative example provides a float glass batch, wherein the float glass batch is the same as in Example 1, except that the content of the third silica sand in the silica sand is 7wt%, and the reduced mass content is distributed proportionally to the first silica sand and the second silica sand.
[0119] This comparative example also provides a method for simultaneously and quantitatively evaluating the clarification effect during the melting of float glass batches. Except for using the float glass batches described in this comparative example, the method is the same as that in Example 1.
[0120] like Figure 9 As shown, this is a melting image of the sample in step (2) of this comparative example after being kept at 1490℃ for 2.5h. It can be seen that the number of bubbles is 27 / cm. 3 This indicates that its clarification effect is poor.
[0121] Comparative Example 2
[0122] This comparative example provides a float glass batch, wherein the float glass batch is the same as in Example 1, except that the content of the third silica sand in the silica sand is 24wt%, and the increased mass content is proportionally reduced by the amount of the first silica sand and the second silica sand.
[0123] The present comparative example also provides a method for quantitatively evaluating the refining effect of the float glass batch material during melting, which is the same as that of Example 1 except that the float glass batch material of the present comparative example is used.
[0124] As shown in Figure 10 , which is the melt sample image of step (2) in the present comparative example at 1490℃ for 2.5h, it can be seen that the number of bubbles is 12 per cm 3 , indicating that the refining effect is poor.
[0125] Comparative Example 3
[0126] The present comparative example provides a float glass batch material, wherein the silica sand comprises first silica sand with a particle size of >0.45mm, second silica sand with a particle size of 0.28-0.45mm and third silica sand with a particle size of <0.28mm, and the rest is the same as that of Example 1.
[0127] The present comparative example also provides a method for quantitatively evaluating the refining effect of the float glass batch material during melting, which is the same as that of Example 1 except that the float glass batch material of the present comparative example is used.
[0128] As shown in Figure 11 , which is the melt sample image of step (2) in the present comparative example at 1490℃ for 2.5h, it can be seen that the number of bubbles is 15 per cm 3 , indicating that the refining effect is poor.
[0129] III. Test and results
[0130] The melt sample image after 2.5h of step (2) in the above examples or comparative examples was collected, and the number of bubbles was quantified, and the results are shown in Table 5.
[0131] Table 5
[0132]
[0133] According to the data in Table 5, it can be seen that:
[0134] (1) As can be seen from Examples 1 to 3, the composition and melting process of the float glass batch material obtained by adjusting the method for improving the refining effect of the float glass batch material during melting provided by the present application synergistically reduces the number of bubbles in the melt sample, as low as 4 per cm 3 , and the refining effect is excellent.
[0135] (2) From the combination of Example 1 and Example 4 and Example 5, it can be seen that after the method of the present application is adjusted, the content of the third silica sand is further preferably 11-12 wt% based on the total mass of the silica sand being 100 wt%, which further reduces the number of bubbles in the melted sample after the solution, and significantly improves the clarification effect.
[0136] (3) From the combination of Example 1 and Example 6 to Example 8, it can be seen that after the method of the present application is adjusted, the melting treatment of step (1) further preferably includes a first temperature rise and a second temperature holding in sequence, and the temperature rise rate of the first temperature holding is further preferably 8-10 ℃ / min, and the temperature rise rate of the second temperature rise is further preferably 3-5 ℃ / min, that is, the mode of first fast temperature rise, then slow temperature rise and then temperature holding, which further reduces the number of bubbles in the melted sample, thereby improving the clarification effect.
[0137] (4) From the combination of Example 1 and Comparative Example 1 to Comparative Example 3, it can be seen that due to the too small content of the third silica sand in Comparative Example 1, the number of bubbles increases to 27 pieces / cm 3 , which is 9 times more than that of Example 1; due to the too large content of the third silica sand in Comparative Example 2, the number of bubbles increases to 12 pieces / cm 3 , which is 4 times more than that of Example 1; and due to the relatively large particle size of the silica sand of each level in Comparative Example 3, the number of bubbles increases to 15 pieces / cm 3 , which indicates that after the method of the present application is adjusted, the specific selection of the silica sand includes the first silica sand with a particle size of 0.28-0.45 mm, the second silica sand with a particle size of 0.125-0.28 mm and the third silica sand with a particle size of <0.125 mm, and the particle size of the first silica sand is larger than that of the second silica sand; the content of the third silica sand is 9-15 wt% based on the total mass of the silica sand being 100 wt%, which greatly reduces the number of bubbles in the melted sample and improves the clarification effect.
[0138] The applicant declares that the above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and those skilled in the art should understand that any changes or replacements within the technical scope disclosed by the present application can be easily thought of by those skilled in the art, which falls within the protection scope and disclosure scope of the present application.
Claims
1. A float glass batch material, characterized in that, The SiO2 in the float glass batch is selected from silica sand, which includes a first silica sand with a particle size of 0.28~0.45mm, a second silica sand with a particle size of 0.125~0.28mm, and a third silica sand with a particle size <0.125mm, and the particle size of the first silica sand is greater than that of the second silica sand. Based on a total mass of 100wt% of silica sand, the content of the third silica sand is 9-15wt%.
2. The float glass batch material according to claim 1, characterized in that, Based on a total mass of 100 wt% of the silica sand, the content of the third silica sand in the silica sand is 11-12 wt%. Based on a total mass of 100 wt% of the silica sand, the content of the first silica sand in the silica sand is 66-67 wt%; Preferably, based on the total mass of the silica sand being 100 wt%, the content of the second silica sand in the silica sand is 22-23 wt%.
3. The float glass batch material according to claim 1 or 2, characterized in that, Based on a total mass of 100 wt% of the float glass batch, the float glass batch comprises SiO2: 69.46~73 wt%, Al2O3: 1~2 wt%, Na2O: 10~15 wt%, K2O: 0.85~1.02 wt%, CaO: 5~15 wt%, MgO: 4~5 wt%, and Fe2O3: 0.08~0.1 wt%.
4. A method for improving the clarification effect during the melting process of float glass batches, characterized in that, The method includes the following steps: (1) Melt the float glass batch and collect images of the melt sample in real time; (2) Identify and quantify bubbles in the fusion sample image described in step (1) to assess the clarification effect; (3) Adjust the composition of the float glass batch in step (1) and the melting process in step (1) according to the clarification effect described in step (2).
5. The method according to claim 4, characterized in that, The method adjusts the composition of the float glass batch as described in any one of claims 1 to 3.
6. The method according to claim 4 or 5, characterized in that, The composition of the float glass batch in step (1) includes any one or a combination of at least two of the following: component type, component particle size, or component content; Preferably, the melting process in step (1) includes any one or a combination of at least two of the following: the number of heating stages, the heating rate, the final heating temperature, or the holding time.
7. The method according to any one of claims 4 to 6, characterized in that, The melting process described in step (1) is carried out in a visual melting device; Preferably, the video melting device includes an automatic image acquisition component for acquiring images of the melt sample.
8. The method according to any one of claims 4 to 7, characterized in that, Step (2) involves identifying and quantifying bubbles in the molten sample image from step (1) using a depth-first search algorithm. Preferably, the identification and quantification of bubbles in the molten sample image in step (1) in step (2) includes identifying the bubble region and quantifying the number of bubbles.
9. The method according to any one of claims 4 to 8, characterized in that, The melting process obtained by the method includes sequential heating, heating and holding. Preferably, the heating rate of the first heating is 8~10℃ / min; Preferably, the final temperature of the first heating is 900~1000℃; Preferably, the heating rate of the second heating is 3~5℃ / min; Preferably, the final temperature of the second heating is 1480~1500℃; Preferably, the heat preservation time is 2-3 hours.
10. The method according to any one of claims 4 to 9, characterized in that, Before the melting treatment in step (1), the process further includes ball milling and mixing the raw materials in the float glass batch according to the formula to obtain a mixture; Preferably, the ball milling speed is 400~500 r / min; Preferably, the ball milling mixing time is 15-20 minutes.
Citation Information
Patent Citations
Silica sand grain graduation non-alkali glass batch
CN108483901A
Method and device for identifying bubbles in image, electronic equipment and storage medium
CN119648734A