Homogenization Temperature Prediction and Control Method and High-Pressure Homogenizer Using the Method

Abstract

This invention relates to a homogenization temperature prediction and control method and a high-pressure homogenizer using this method. The method includes establishing a temperature rise model of homogenization temperature T as a function of homogenization time t; then plotting a temperature rise prediction curve of the homogenization temperature based on current process parameters and obtaining the maximum value of the homogenization temperature; subsequently calculating the maximum temperature that the cooling system can cool in the current process based on the current cooling system power, the mass flow rate of the material in the homogenization chamber, the specific heat capacity of the material in the homogenization chamber, and the required discharge temperature; and finally adjusting the process parameters based on the maximum homogenization temperature and the maximum temperature that the cooling system can cool until the target is met. This invention avoids the drawbacks of traditional temperature sensor-based monitoring methods, making temperature control in homogenization processing more scientific, efficient, and forward-looking.

Description

Technical Field

[0001] This invention relates to a method for predicting and controlling homogenization temperature and a high-pressure homogenizer using this method, applicable to the field of high-pressure homogenization technology. Background Technology

[0002] A high-pressure homogenizer is a processing device that pressurizes sample particles under high pressure and generates enormous impact and explosive forces through high-speed jetting to achieve particle crushing and homogenization. During high-pressure homogenization, the fluid generates heat through shearing and friction under high pressure. Excessively high homogenization temperatures can not only trigger chemical or physical changes in the material, affecting the homogenization effect, but may also lead to accelerated equipment wear and reduced processing stability. Therefore, existing homogenization processes require the regulation and control of heat generation during processing. Currently, common methods involve real-time monitoring of the homogenization temperature within the homogenization chamber using temperature sensors or similar monitoring devices, and then reducing one or more process parameters (such as homogenization pressure, homogenization frequency, inlet liquid temperature, etc.) to decrease the heat generated; or using cooling systems such as chillers to cool the effluent material and avoid affecting the homogenization effect.

[0003] However, these adjustment methods are all performed during processing. On the one hand, there is a considerable delay between the "sensor issuing an early warning," the "adjustment," and the "temperature reduction." Existing adjustment methods cannot ensure that the homogenization process remains within a safe range at all times. This is especially true for materials that are sensitive to temperature changes; even a brief exceedance of the homogenization temperature limit can produce defective products, leading to complete contamination of the entire material. This not only affects production efficiency but also results in wasted costs. On the other hand, process parameters such as homogenization pressure, homogenization frequency, and inlet liquid temperature not only affect the homogenization temperature but also the homogenization effect and efficiency. Therefore, adjusting process parameters during homogenization not only makes it difficult to balance homogenization temperature and effect but also affects the stability of the homogenized product quality. Furthermore, since the cooling system's power limits its maximum cooling capacity, in actual processing, even after adjusting all process parameters to the lower limit, the heat generated may still exceed the maximum cooling capacity of the cooling system, making processing impossible and wasting significant manpower and resources. Existing technologies lack effective means to avoid such situations. Summary of the Invention

[0004] To address the shortcomings of the existing technology, this invention proposes a homogenization temperature prediction and control method and a high-pressure homogenizer using this method.

[0005] On one hand, the present invention provides a method for predicting and controlling homogeneous temperature, including,

[0006] S1. Establish a temperature rise model for the homogenization temperature T of the material in the homogenization chamber as a function of homogenization time t:

[0007] ;

[0008] Where x1 represents the homogenization pressure in the homogenization chamber; x2 represents the homogenization frequency; and x3 represents the inlet temperature when the material flows into the homogenization chamber. Specifically, the homogenization frequency is the reciprocating speed of the plunger pump in the homogenizing equipment. A higher homogenization frequency indicates a faster material flow rate and a larger material flow rate. C1, C2, and C3 represent the weighting coefficients corresponding to the homogenization pressure, homogenization frequency, and inlet temperature, respectively, and C1 + C2 + C3 = 1. Specifically, since the homogenization pressure is a decisive factor in the influence of heat generation, and the influence of homogenization pressure on heat generation is greater than that of inlet temperature, which is greater than that of homogenization frequency, the values ​​of C1, C2, and C3 are: 0.95 ≤ C1 ≤ 1, 0 ≤ C2 + C3 ≤ 1. For conditions C3 ≤ 0.05 and C3 ≥ C2, in actual production, the values ​​are mainly determined based on the homogenization frequency and inlet temperature in the process. Generally, the higher the preset homogenization frequency in the process (e.g., in production homogenization equipment), the smaller the weight of the homogenization frequency, and the smaller the value of C2. Similarly, the smaller the temperature difference between the inlet temperature and room temperature, the smaller C3 will be. Specifically, on the one hand, when the preset value of the homogenization frequency is high, the impact of adjusting it is obviously smaller than that of adjusting it when the base value is low. On the other hand, the curves of homogenization flow rate and homogenization temperature generally show a trend of steep initial movement followed by a gradual decrease. When the homogenization frequency is low, the flow rate is relatively low, and the corresponding curve slope is steeper. Adjusting the frequency on this basis will lead to a more significant change in the homogenization temperature. Conversely, when the homogenization frequency is high, the flow rate is relatively high, and the corresponding curve slope is shallower. Adjusting the frequency on this basis will not cause a significant change in temperature. Therefore, the homogenization frequency and its weight are generally negatively correlated; the higher the homogenization frequency, the smaller its weight.

[0009] P1, P2, and P3 represent the influence coefficients of homogenization pressure, homogenization frequency, and inlet temperature on homogenization temperature, respectively. P1, P2, and P3 are any constants between 1 and 3 (inclusive). The values ​​of P1, P2, and P3 are related to the energy conversion efficiency of the high-pressure homogenizer. In standard equipment, this influence is linear, and P1, P2, and P3 can be between 1 and 2. Usually, P1=P2=P3=1 can be assumed. In non-standard equipment, the influence on temperature rise under different operating conditions is non-linear. Due to the different flow paths inside the homogenizer pump, the natural heat dissipation in the pump increases, and the values ​​of P1, P2, and P3 increase accordingly, usually between 2 and 3. P1, P2, and P3 are weighting factors that reflect the linearity and nonlinearity of the relationship between energy dissipation and temperature rise under different equipment operating conditions. Their value range is obtained by comparing various models of homogenizers (standard production type and modified type) and fitting the flow-temperature rise curve, thus obtaining a range that roughly falls within the range of 1 to 3.

[0010] β0 represents the maximum temperature rise when the homogenization pressure is 0, and 0 ≤ β0 ≤ 3. The heat generated during no-load flow of materials is usually related to the type of material and can be determined based on parameters such as the specific heat capacity of the material. Due to the temperature of the high-pressure homogenizer itself, the ambient temperature, and the specific heat capacity of the material, there is a deviation between the liquid outlet temperature and the liquid inlet temperature when there is no homogenization pressure. By collecting data from multiple no-load flow experiments and summarizing and filtering the data, the range of values ​​for β0 can be obtained.

[0011] β1 represents the influence coefficients of homogenization pressure, homogenization frequency, and inlet liquid temperature on homogenization temperature, and 0.02≤β1≤0.03. Generally, the higher the value of each process parameter, the larger the value of β1. After establishing the temperature rise model, by setting the homogenization time t to infinity, the intermediate terms of the temperature rise model... This can be ignored, and when t is infinitely large, the homogeneous temperature T also approaches the maximum temperature rise. At this point, the formula can be used to... The range of values ​​for β1 is obtained by fitting and calculating the values ​​of various parameters in the actual experiment.

[0012] T0 represents the ambient temperature; P0 represents the rate of increase of homogenization temperature, and 0 < P0 < 10. Under normal circumstances, the value of P0 is determined by the maximum flow rate that the plunger pump in the high-pressure homogenizer can achieve. When a large flow of material passes through the homogenizing valve at high speed, the resulting strong turbulence and cavitation phenomena will generate a large amount of heat, thereby intensifying the conversion of mechanical energy into thermal energy, resulting in a higher rate of increase of homogenization temperature. Therefore, the higher the diameter, stroke and other parameters of the plunger pump in the homogenizing equipment, the larger the value of P0 will be.

[0013] x0 represents the inflection point time when the homogenization temperature changes from a rapid increase to a gradual increase, and 0 < x0 ≤ 2. Specifically, the rapid increase and gradual increase here are relative concepts in actual production. In actual homogenization processing, due to the large temperature difference between the initial temperature in the homogenization chamber and the heat generated during processing in the early stage of processing, a large amount of heat energy generated by the material in the homogenization is transferred to the homogenization chamber, resulting in a rapid increase in homogenization temperature. When the homogenization temperature approaches the maximum heat generation that the process can achieve, heat transfer decreases, and its rate of increase slows down. The value of x0 is usually related to the homogenization flow rate. Generally, the larger the flow rate, the faster the temperature rises, and the smaller the value of x0 is. Furthermore, in actual production, the homogenization equipment involved in the production is predetermined. Then, the trend of homogenization temperature change over time under multiple operating conditions is measured using the current homogenization equipment. Then, the trend is fitted using software such as Origin to obtain values ​​such as P1, P2, P3, β1, P0, and x0.

[0014] S2. Substitute the values ​​of homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 from the current process into the temperature rise model and plot the temperature rise prediction curve of the homogenization temperature. Then, obtain the maximum value T of the homogenization temperature in the temperature rise prediction curve. max By establishing a temperature rise model and plotting a temperature rise prediction curve, production personnel can predict the trend of homogenization temperature under the current process before actual homogenization, facilitating intuitive judgment and thermal energy management. The temperature rise prediction curve typically shows a rapid initial temperature rise, which gradually slows down as the material temperature approaches a steady state. This curve shape is similar to an exponential growth / saturation curve, thus requiring a "power term" to adjust the curve slope. The (t / x0)^P0 term in the temperature rise model is used to characterize the nonlinear evolution of temperature rise over time during homogenization. Therefore, its dimensionless power term is used to adjust the shape of the temperature rise curve. The (t / x0)^P0 term can reflect the steepness of the temperature rise curve under different operating conditions within a unified mathematical model, ensuring that the model conforms to both experimental data and physical phenomena (rapid early temperature rise, gradual stabilization later).

[0015] S3. Based on the power P (kW) of the high-pressure homogenizer cooling system, the mass flow rate m (kg / s) of the material in the homogenizing chamber, the specific heat capacity C (J / kg / ℃) of the material in the homogenizing chamber, and the required discharge temperature T1 (℃), calculate the maximum temperature that the cooling system can cool in the current process. Specifically, the maximum temperature that the cooling system can cool is the highest homogenization temperature that the cooling system can accept when operating at full power while ensuring that the discharge temperature meets the standard. By calculating the maximum temperature that the cooling system can cool, production personnel can easily and intuitively determine whether the current homogenization process and the cooling system are compatible.

[0016] S4. The maximum homogenization temperature T max Compare with the maximum cooling temperature T3 that the cooling system can cool:

[0017] If T max If the value is greater than T3, then at least one of x1, x2, and x3 will be adjusted downwards, and the process will return to step S2 with the adjusted value. Since process parameters also affect the homogenization effect, when adjusting the homogenization pressure x1, homogenization frequency x2, and inlet temperature x3, a single parameter can be adjusted slightly and the prediction and verification can be performed again to ensure both homogenization temperature and homogenization effect.

[0018] If T max If the value is less than or equal to T3, the process ends, and the current values ​​of homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 are determined.

[0019] By predicting the homogenization temperature, production personnel can understand the future homogenization situation before actual processing. This allows for the optimization of process parameters based on the prediction results, ensuring the matching degree between the homogenization process and the cooling system, guaranteeing that the homogenization temperature remains within a safe range during homogenization, avoiding quality risks caused by exceeding temperature limits, improving processing efficiency, and preventing cost waste. Furthermore, it enables the adjustment of process parameters to achieve the optimal state that balances homogenization effect and temperature without actual processing, avoiding the waste of labor, time, and materials due to malfunctions during actual processing. This predictive control method for homogenization temperature avoids the drawbacks of traditional temperature sensor-based monitoring methods, making temperature control in homogenization processing more scientific, efficient, and forward-looking.

[0020] Furthermore, the homogenization temperature prediction and control method also includes preset homogenization pressure threshold a1, homogenization flow rate threshold a2, and inlet temperature threshold a3, where x1≥a1, x2≥a2, and x3≥a3; substituting x1=a1 or / and x2=a2 or / and x3=a3 into the temperature rise model in step S1, and obtaining the maximum homogenization temperature T under this process based on the temperature rise prediction curve. max ', if T maxIf the result is greater than T3, then replace the high-pressure homogenizer cooling system with a higher-power one and repeat step S2. In actual processing, the replacement process of the cooling system is quite complex, and the power of the cooling system that can be installed on different models of equipment is also different. Therefore, the selection process of the cooling system is also quite cumbersome. Usually, a high-power system is used as much as possible to ensure the cooling effect. However, this will also cause equipment occupation and energy consumption, which is not conducive to homogenization processing. In this solution, by setting the lower limit values ​​of homogenization pressure, homogenization flow rate and inlet liquid temperature, it is possible to verify whether the power of the cooling system currently installed in the high-pressure homogenizer meets the minimum usage requirements of the current process. This allows production personnel to replace the cooling system with one that meets the requirements in advance, reduces the difficulty of selecting the cooling system, and further improves the efficiency and effect of homogenization processing.

[0021] On the other hand, the present invention also provides a high-pressure homogenizer that employs the above-mentioned homogenization temperature prediction and control method.

[0022] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:

[0023] The homogenization temperature prediction and control method of this invention, and the high-pressure homogenizer using this method, allows production personnel to predict the homogenization temperature in advance, enabling them to understand the future homogenization situation before actual processing. This facilitates the optimization of process parameters based on the prediction results, ensuring the matching degree between the homogenization process and the cooling system, guaranteeing that the homogenization temperature remains within a safe range during homogenization, avoiding quality risks caused by exceeding temperature limits, improving processing efficiency, and preventing cost waste. Furthermore, it allows for the adjustment of process parameters to the optimal state that balances homogenization effect and homogenization temperature without actual processing, avoiding the waste of labor, time, and materials due to malfunctions during actual processing. This method of predictive control of homogenization temperature avoids the drawbacks of traditional temperature sensor-based monitoring methods, making temperature control in homogenization processing more scientific, efficient, and forward-looking. Attached Figure Description

[0024] The following sections will describe some specific embodiments of the invention in a detailed manner, by way of example and not limitation, with reference to the accompanying drawings. The same reference numerals in the drawings denote the same or similar components or parts. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0025] Figure 1 This is a temperature rise prediction curve diagram of Embodiment 1 of the present invention;

[0026] Figure 2 This is a temperature rise prediction curve diagram of Embodiment 2 of the present invention; Detailed Implementation

[0027] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. Example 1

[0029] Reference Appendix Figure 1 On the one hand, this embodiment provides a homogenization temperature prediction and control method, including,

[0030] S1. Establish a temperature rise model for the homogenization temperature T of the material in the homogenization chamber as a function of homogenization time t:

[0031] ;

[0032] Where x1 represents the homogenization pressure in the homogenization chamber; x2 represents the homogenization frequency; and x3 represents the inlet temperature of the material flowing into the homogenization chamber. Specifically, the homogenization frequency is the reciprocating speed of the plunger pump in the homogenizing equipment. A higher homogenization frequency indicates a faster material flow rate and a larger material flow rate. C1, C2, and C3 represent the weighting coefficients corresponding to the homogenization pressure, homogenization frequency, and inlet temperature, respectively, and C1 + C2 + C3 = 1. Specifically, since the homogenization pressure is a decisive factor in the influence of heat generation, and the influence of homogenization pressure on heat generation is greater than that of inlet temperature, which is greater than that of homogenization frequency, the values ​​of C1, C2, and C3 are: 0.95 ≤ C1 ≤ 1, 0 ≤ C2 + C3 ≤ 1. For conditions C3 ≤ 0.05 and C3 ≥ C2, in actual production, the values ​​are mainly determined based on the homogenization frequency and inlet temperature in the process. Generally, the higher the preset homogenization frequency in the process (e.g., in production homogenization equipment), the smaller the weight of the homogenization frequency, and the smaller the value of C2. Similarly, the smaller the temperature difference between the inlet temperature and room temperature, the smaller C3 will be. Specifically, on the one hand, when the preset value of the homogenization frequency is high, the impact of adjusting it is obviously smaller than that of adjusting it when the base value is low. On the other hand, the curves of homogenization flow rate and homogenization temperature generally show a trend of steep initial movement followed by a gradual decrease. When the homogenization frequency is low, the flow rate is relatively low, and the corresponding curve slope is steeper. Adjusting the frequency on this basis will lead to a more significant change in the homogenization temperature. Conversely, when the homogenization frequency is high, the flow rate is relatively high, and the corresponding curve slope is shallower. Adjusting the frequency on this basis will not cause a significant change in temperature. Therefore, the homogenization frequency and its weight are generally negatively correlated; the higher the homogenization frequency, the smaller its weight. For example, in existing high-pressure homogenizing equipment, the rated homogenization frequency is basically 0~50Hz. When the preset homogenization frequency in the homogenization process is 45Hz, increasing it by 5Hz will have a relatively small impact on the homogenization temperature. However, when the preset homogenization frequency in the homogenization process is 10Hz, increasing it by 5Hz will obviously have a more significant impact on the homogenization temperature.

[0033] P1, P2, and P3 represent the influence coefficients of homogenization pressure, homogenization frequency, and inlet temperature on homogenization temperature, respectively. P1, P2, and P3 are any constants between 1 and 3 (inclusive). The values ​​of P1, P2, and P3 are related to the energy conversion efficiency of the high-pressure homogenizer. In standard equipment, this effect is linear, and P1, P2, and P3 can be between 1 and 2. Usually, P1=P2=P3=1 can be assumed. In non-standard equipment, the effect on temperature rise under different operating conditions is non-linear. Due to the different flow paths inside the homogenizer pump, the natural heat dissipation in the pump increases, and the values ​​of P1, P2, and P3 increase accordingly, usually between 2 and 3. P1, P2, and P3 are weighting factors that reflect the linearity and nonlinearity of the relationship between energy dissipation and temperature rise under different equipment operating conditions. Their value range is obtained by comparing various models of homogenizers (standard production type and modified type) and fitting the flow-temperature rise curve, thus obtaining a range that roughly falls within the range of 1 to 3.

[0034] β0 represents the maximum temperature rise when the homogenization pressure is 0, and 0≤β0≤3; the heat generated when the material flows under no-load conditions is usually related to the type of material and can be determined based on parameters such as the specific heat capacity of the material; due to the temperature of the high-pressure homogenizer itself, the ambient temperature, and the specific heat capacity of the material, there is a deviation between the liquid outlet temperature and the liquid inlet temperature when there is no homogenization pressure. By collecting data from multiple no-load flow experiments and summarizing and filtering the data, the range of values ​​for β0 can be obtained.

[0035] β1 represents the influence coefficients of homogenization pressure, homogenization frequency, and inlet liquid temperature on homogenization temperature, and 0.02≤β1≤0.03; generally, the higher the value of each process parameter, the larger the value of β1. After establishing the temperature rise model, by setting the homogenization time t to infinity, the intermediate terms of the temperature rise model are... This can be ignored, and when t is infinitely large, the homogeneous temperature T also approaches the maximum temperature rise. At this point, the formula can be used to... The range of values ​​for β1 is obtained by fitting and calculating the values ​​of various parameters in the actual experiment.

[0036] T0 represents the ambient temperature; P0 represents the rate of increase in homogenization temperature, and 0 < P0 < 10. Generally, the value of P0 is determined by the maximum flow rate that the plunger pump in the high-pressure homogenizer can achieve. When a large flow of material passes through the homogenizing valve at high speed, the resulting strong turbulence and cavitation phenomena generate a large amount of heat, thereby intensifying the conversion of mechanical energy into thermal energy, resulting in a higher rate of increase in homogenization temperature. Therefore, the higher the parameters such as the diameter, stroke, and number of plunger pumps in the homogenizing equipment, the larger the value of P0. Furthermore, the value of P0 usually fluctuates around 1. For a single plunger pump of ordinary diameter, P0 is usually less than 1, while for a multi-plunger pump of large diameter, P0 is usually greater than 1.

[0037] x0 represents the inflection point time when the homogenization temperature changes from a rapid increase to a gradual increase, and 0 < x0 ≤ 2. Specifically, the rapid increase and gradual increase here are relative concepts in actual production. In actual homogenization processing, due to the large temperature difference between the initial temperature in the homogenization chamber and the heat generated during processing in the early stage of processing, a large amount of heat energy generated by the material in the homogenization is transferred to the homogenization chamber, resulting in a rapid increase in homogenization temperature. When the homogenization temperature approaches the maximum heat generation that the process can achieve, heat transfer decreases, and its rate of increase slows down. The value of x0 is usually related to the homogenization flow rate. Generally, the larger the flow rate, the faster the temperature rises, and the smaller the value of x0 is. Furthermore, in actual production, the homogenization equipment involved in the production is predetermined. Then, the trend of homogenization temperature change over time under multiple operating conditions is measured using the current homogenization equipment. Then, the trend is fitted using software such as Origin to obtain values ​​such as P1, P2, P3, β1, P0, and x0.

[0038] S2. Substitute the values ​​of homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 from the current process into the temperature rise model and plot the temperature rise prediction curve of the homogenization temperature. Then, obtain the maximum value T of the homogenization temperature in the temperature rise prediction curve. max By establishing a temperature rise model and plotting a temperature rise prediction curve, production personnel can predict the trend of homogenization temperature under the current process before actual homogenization, facilitating intuitive judgment and thermal energy management. The temperature rise prediction curve typically shows a rapid initial temperature rise, which gradually slows down as the material temperature approaches a steady state. This curve shape is similar to an exponential growth / saturation curve, thus requiring a "power term" to adjust the curve slope. The (t / x0)^P0 term in the temperature rise model is used to characterize the nonlinear evolution of temperature rise over time during homogenization. Therefore, its dimensionless power term is used to adjust the shape of the temperature rise curve. The (t / x0)^P0 term can reflect the steepness of the temperature rise curve under different operating conditions within a unified mathematical model, ensuring that the model conforms to both experimental data and physical phenomena (rapid early temperature rise, gradual stabilization later).

[0039] S3. Based on the power P (kW) of the high-pressure homogenizer cooling system, the mass flow rate m (kg / s) of the material in the homogenizing chamber, the specific heat capacity C (J / kg / ℃) of the material in the homogenizing chamber, and the required discharge temperature T1 (℃), calculate the maximum temperature that the cooling system can cool in the current process. Specifically, the maximum temperature that the cooling system can cool is the highest homogenization temperature that the cooling system can accept when operating at full power while ensuring that the discharge temperature meets the standard. By specifying the maximum temperature that the cooling system can cool, production personnel can easily and intuitively determine whether the current homogenization process is compatible with the cooling system.

[0040] S4. The maximum homogenization temperature T max Compare with the maximum cooling temperature T3 that the cooling system can cool:

[0041] If T max If the result is greater than T3, then at least one of x1, x2, and x3 will be adjusted downwards, and the process will return to step S2 with the adjusted value. Since process parameters also affect the homogenization effect, when adjusting the homogenization pressure x1, homogenization frequency x2, and inlet temperature x3, a single parameter can be adjusted slightly, and the prediction and verification can be performed again to ensure both homogenization temperature and homogenization effect. Specifically, the homogenization pressure x1 and homogenization frequency x2 can be adjusted by regulating the pneumatic valve and plunger pump in the homogenization equipment, while the inlet temperature x3 can be adjusted by pre-treating the material with a water bath or other operations.

[0042] If T max If the value is less than or equal to T3, the process ends, and the current values ​​of homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 are determined.

[0043] In this embodiment, ordinary water samples are used as the material for prediction. The homogenization pressure x1 is 1000 bar, the homogenization frequency x2 is 50 Hz, and the inlet temperature x3 is room temperature, i.e., 17.6℃. The homogenization equipment used in this embodiment is a standard production-type homogenizer with a very high homogenization flow rate. Since the inlet temperature is room temperature, the influence of flow rate and temperature can be ignored; therefore, C1=1, C2=C3=0, and P1=P2=P3=1. Using ordinary water samples for homogenization, the maximum temperature rise β0 under no-load flow is 0. Among the process parameters, the homogenization pressure and inlet temperature are relatively low; therefore, β1 is 0.0236. The ambient temperature T0 is 17.6℃. The equipment in this embodiment uses a large-diameter single-plunger pump, with P0 = 0.8634 and x0 = 0.14532. The temperature rise prediction curve is plotted based on the above parameters and is attached. Figure 1 As shown, T can be obtained. max The temperature is 41℃. The homogenizer used in this embodiment is equipped with a cryogenic coolant circulation pump with a maximum power P of 1700W. The material's mass flow rate m is 0.01667kg / s, its specific heat capacity C is 4180 J / kg / ℃, and the required discharge temperature T1 is 10℃. Therefore, the maximum temperature T3 that the cooling system can cool in the current process can be calculated to be 34.4℃. By comparing T3 with T... max As can be seen from the comparison, the cooling system in this embodiment cannot meet the cooling requirements of the current process. Therefore, it is possible to predict the heat generated by the current process, so that production personnel can gradually reduce the homogenization pressure x1, homogenization frequency x2, and liquid inlet temperature x3, and repeatedly substitute the adjusted parameters into the above method for verification until the maximum homogenization temperature is less than or equal to 34.4℃, thereby optimizing the process parameters.

[0044] By predicting the homogenization temperature, production personnel can understand the future homogenization situation before actual processing. This allows for the optimization of process parameters based on the prediction results, ensuring the matching degree between the homogenization process and the cooling system, guaranteeing that the homogenization temperature remains within a safe range during homogenization, avoiding quality risks caused by exceeding temperature limits, improving processing efficiency, and preventing cost waste. Furthermore, it enables the adjustment of process parameters to achieve the optimal state that balances homogenization effect and temperature without actual processing, avoiding the waste of labor, time, and materials due to malfunctions during actual processing. This predictive control method for homogenization temperature avoids the drawbacks of traditional temperature sensor-based monitoring methods, making temperature control in homogenization processing more scientific, efficient, and forward-looking.

[0045] In a more preferred embodiment, the homogenization temperature prediction and control method further includes preset homogenization pressure threshold a1, homogenization flow rate threshold a2, and inlet temperature threshold a3, where x1≥a1, x2≥a2, and x3≥a3; substituting x1=a1 or / and x2=a2 or / and x3=a3 into the temperature rise model in step S1, and obtaining the maximum homogenization temperature T under this process based on the temperature rise prediction curve. max ', if T max If the value is greater than T3, then replace the high-pressure homogenizer cooling system with a higher-power one and repeat step S2. In actual processing, the replacement process for the cooling system is complex, and different models of equipment can accommodate different cooling system power ratings, making the selection process quite cumbersome. Usually, a high-power system is used to ensure cooling effectiveness; however, this results in equipment occupancy and energy consumption, which is detrimental to homogenization. This solution sets lower limits for homogenization pressure, homogenization flow rate, and inlet liquid temperature to verify whether the power of the currently installed cooling system in the high-pressure homogenizer meets the minimum requirements of the current process. This allows production personnel to replace the cooling system with a suitable one in advance, reducing the difficulty of selecting a cooling system and further improving the efficiency and effectiveness of homogenization. In this embodiment, the values ​​of x1, x2, and x3 are set as thresholds, and the maximum temperature that the cooling system can cool in the current process is transformed into... This allows us to calculate that the cooling system power required to meet the current process cooling needs is 2.16 kW, thus facilitating production personnel to replace the cooling system with one that meets the requirements.

[0046] On the other hand, this embodiment also provides a high-pressure homogenizer that employs the above-mentioned homogenization temperature prediction and control method. Example 2

[0047] Reference Appendix Figure 2The difference between this embodiment and Embodiment 1 is that: in this embodiment, an experimental homogenizer HPH-L2 is used to homogenize the material, and the material is heated to 55°C in a water bath before homogenization. The experimental homogenizer is a non-standard device with a small-diameter single-plunger pump. In this embodiment, the homogenization pressure x1 is 1000 bar, the homogenization frequency x2 is 50 Hz, the inlet temperature x3 is 55°C, C1=0.95, C2=0.01, C3=0.04, and P1=P2=1, P3=2.13; β0=0.5, β1=0.025, the ambient temperature T0 is 20°C; P0 is 0.3, and x0 is 1.1. The temperature rise prediction curve is plotted based on the above parameters as shown in the attached figure. Figure 2 As shown, T can be obtained. max The temperature is 72.5℃. The homogenizing equipment used in this embodiment is equipped with a laboratory chiller with a maximum power P of 4900W, a material mass flow rate m of 0.01667kg / s, a specific heat capacity C of 4180 J / kg / ℃, and a required discharge temperature T1 of 10℃. Therefore, the maximum cooling temperature T3 that the current process's cooling system can reach is calculated to be 80.3℃. By comparing T3 with T... max As can be seen from the comparison, the cooling system in this embodiment can meet the cooling requirements of the current process without adjusting the process or replacing it with another type of cooling system. Homogenization processing or experiments can be carried out on this basis.

[0048] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:

[0049] The homogenization temperature prediction and control method of this invention, and the high-pressure homogenizer using this method, allows production personnel to predict the homogenization temperature in advance, enabling them to understand the future homogenization situation before actual processing. This facilitates the optimization of process parameters based on the prediction results, ensuring the matching degree between the homogenization process and the cooling system, guaranteeing that the homogenization temperature remains within a safe range during homogenization, avoiding quality risks caused by exceeding temperature limits, improving processing efficiency, and preventing cost waste. Furthermore, it allows for the adjustment of process parameters to the optimal state that balances homogenization effect and homogenization temperature without actual processing, avoiding the waste of labor, time, and materials due to malfunctions during actual processing. This method of predictive control of homogenization temperature avoids the drawbacks of traditional temperature sensor-based monitoring methods, making temperature control in homogenization processing more scientific, efficient, and forward-looking.

[0050] The above embodiments are only for illustrating the technical concept and features of the present invention. Their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They should not be used to limit the scope of protection of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for predicting and controlling homogeneous temperature, characterized in that, include, S1. Establish a temperature rise model for the homogenization temperature T of the material in the homogenization chamber as a function of homogenization time t: ； Where x1 represents the homogenization pressure in the homogenization chamber; x2 represents the homogenization frequency; x3 represents the inlet temperature of the material flowing into the homogenization chamber; C1, C2, and C3 represent the weighting coefficients corresponding to the homogenization pressure, homogenization frequency, and inlet temperature, respectively, and C1 + C2 + C3 = 1; P1, P2, and P3 represent the influence coefficients of homogenization pressure, homogenization frequency, and inlet temperature on homogenization temperature, respectively, and P1, P2, and P3 are any constants between 1 and 3; β0 represents the maximum temperature rise when the homogenization pressure is 0, and 0 ≤ β0 ≤ 3; β1 represents the influence coefficients of homogenization pressure, homogenization frequency, and inlet temperature on homogenization temperature, and 0.02 ≤ β1 ≤ 0.03; T0 represents the ambient temperature; P0 represents the rate of increase of homogenization temperature, and 0 < P0 < 10; x0 represents the inflection point time when the homogenization temperature changes from a rapid increase to a gradual increase, and 0 < x0 ≤ 2. S2. Substitute the values ​​of homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 from the current process into the temperature rise model and plot the temperature rise prediction curve of the homogenization temperature. Then, obtain the maximum value T of the homogenization temperature in the temperature rise prediction curve. max ; S3. Based on the power P of the high-pressure homogenizer cooling system, the mass flow rate m of the material in the homogenizing chamber, the specific heat capacity C of the material in the homogenizing chamber, and the required discharge temperature T1, calculate the maximum temperature that the cooling system can cool in the current process. Wherein, the units of power P, mass flow rate m, specific heat capacity C, and required discharge temperature T1 are kW, kg / s, J / kg / ℃, and ℃, respectively; S4. The maximum homogenization temperature T max Compare with the maximum cooling temperature T3 that the cooling system can cool: If T max If the value is greater than T3, then at least one of x1, x2, and x3 will be adjusted downwards, and the adjusted value will be returned to execute step S2. If T max If the value is less than or equal to T3, the process ends, and the current values ​​of homogenization pressure x1, homogenization frequency x2, and inlet temperature x3 are determined.

2. The homogenization temperature prediction and control method according to claim 1, characterized in that, Step S1 also includes: 0.95≤C1≤1, 0≤C2+C3≤0.05, and C3≥C2.

3. The homogenization temperature prediction and control method according to claim 1, characterized in that, It also includes preset homogeneous pressure threshold a1, homogeneous flow rate threshold a2, and inlet temperature threshold a3, and x1≥a1, x2≥a2, x3≥a3.

4. The homogenization temperature prediction and control method according to claim 3, characterized in that, Substitute x1=a1 or / and x2=a2 or / and x3=a3 into the temperature rise model in step S1, and obtain the maximum homogeneous temperature T under this process based on the temperature rise prediction curve. max ', if T max If T3 is reached, replace the high-pressure homogenizer cooling system with a higher-power one and repeat step S2.

5. A high-pressure homogenizer, characterized in that: The homogeneous temperature prediction and control method according to any one of claims 1 to 4 is adopted.

Images