A method for designing a production system for triphenyl phosphite

Abstract

The present invention discloses a method for designing a triphenyl phosphite production system, comprising the following steps: establishing a mathematical model based on triphenyl phosphite production-related data, the mathematical model comprising a material balance model and an energy balance model. For the material balance model, the following equation is obtained: dF1 / dt = dP / dt + dR1 / dt + dL / dt; in this formula, dF1 / dt is the rate of change of the flow rate of phosphoric acid entering the reactor, and dP / dt, dR1 / dt, and dL / dt are the rates of change of the flow rate of triphenyl phosphite generated, unreacted and recovered phosphoric acid, and phosphoric acid converted into other byproducts, respectively. By constructing the material balance model and the energy balance model and using these models to predict the production process, the present invention can effectively optimize the input flow rate of raw materials and energy input, thereby increasing the yield of triphenyl phosphite.

Description

Technical Field

[0001] The invention relates to a production system design method for triphenyl phosphite. Background Art

[0002] Triphenyl phosphite is an important chemical raw material used in a wide range of applications, including rocket fuel, lubricants, plastic and rubber additives, and the pharmaceutical industry. Existing production methods typically use phosphoric acid, phenol, and methanol as raw materials, producing triphenyl phosphite through a series of chemical reactions.

[0003] However, in traditional production processes, the control of parameters such as raw material input flow, energy input, and output flow and energy often relies on experience and practical operation. This approach often makes it difficult to achieve precise control of the production process, thereby affecting the yield and production efficiency of triphenyl phosphite. Summary of the Invention

[0004] The main purpose of the present invention is to provide a method for designing a production system of triphenyl phosphite, and to design a production system of triphenyl phosphite, by means of which the input of raw materials and the output of output can be determined in advance before actual production.

[0005] The purpose of the present invention can be achieved by adopting the following technical solutions:

[0006] A method for designing a production system for triphenyl phosphite comprises the following steps:

[0007] A mathematical model was established based on the relevant data of triphenyl phosphite production, which included a material balance model and an energy balance model:

[0008] For the material balance model, the following equation is obtained:

[0009] dF1 / dt=dP / dt+dR1 / dt+dL / dt;

[0010] In this formula, dF1 / dt is the rate of change of the flow rate of phosphoric acid entering the reactor, dP / dt, dR1 / dt and dL / dt are the rates of change of the flow rate of triphenyl phosphite generated, unreacted and recovered phosphoric acid, and phosphoric acid converted into other by-products, respectively;

[0011] dF2 / dt=3dP / dt+dR2 / dt+dL / dt;

[0012] In this formula, dF2 / dt is the rate of change of the flow rate of phenol entering the reactor, and 3dP / dt, dR2 / dt, and dL / dt on the right are the rates of change of the flow rate of 3 times triphenyl phosphite generated, the flow rate of unreacted and recovered phenol, and the flow rate of phenol converted to other by-products, respectively;

[0013] dF3 / dt=dP / dt+dR3 / dt+dL / dt;

[0014] In this formula, dF3 / dt is the rate of change of the flow rate of methanol entering the reactor, dP / dt, dR3 / dt and dL / dt represent the rate of change of the flow rate of triphenyl phosphite generated, unreacted and recovered methanol, and methanol converted to other by-products, respectively;

[0015] For the energy balance model, the following equation is obtained:

[0016]

[0017] In this formula, dH1 / dt, dH2 / dt and dH3 / dt represent the rate of change of energy of phosphoric acid, phenol and methanol entering the reactor respectively;

[0018] and They represent the change rates of generated triphenyl phosphite, unreacted phosphoric acid, phenol, methanol, and energy converted into other by-products respectively;

[0019] It represents the rate of change of heat loss from the reactor;

[0020] Use the established material balance model and energy balance model to predict the experimental or production process. In this step, the raw material input flow F1, F2, F3 and energy input H1, H2, H3 are used as the input of the model to predict the yield P of triphenyl phosphite, the flow rate R1, R2, R3 of unreacted raw materials and the energy output P H 、R1 H 、R2 H 、R3 H , L H 、H loss ;

[0021] Compare the model prediction results with actual experimental or production data, and when comparing, compare the predicted and actual values ​​of each material and energy;

[0022] Calculate the difference between the predicted results and the experimental data. If the prediction error is within an acceptable range, the model is considered valid.

[0023] With the goal of maximizing the triphenyl phosphite production P, the algorithm is used to adjust the raw material input flow rates F1, F2, and F3 to find the input flow rate that maximizes the triphenyl phosphite production;

[0024] Apply the optimized raw material input flow rate to the actual production system to observe whether the actual triphenyl phosphite production is close to the predicted result. If the result is not satisfactory, return to step 5 for further optimization.

[0025] Preferably, if the difference between the calculated prediction result and the experimental data is within an acceptable range, then the model is considered to be effective.

[0026] Set the model to predict the production of triphenyl phosphite as P pred =100kg, but the actual experimental data shows that the output is P actual =95kg, then:

[0027] Absolute error = |P pred -P actual |=|100-95|=5kg

[0028] Relative error = absolute error / P actual =5 / 95=0.053 or 5.3%;

[0029] Assuming that the acceptable prediction error range is ±5%, the prediction error of the model is within the acceptable range, that is, the model is considered to be effective.

[0030] Preferably, the algorithm for adjusting the input flow of raw materials is specifically as follows:

[0031] Create a set containing multiple raw material input flow combinations F1, F2 and F3, each flow combination as a solution;

[0032] Substitute each flow combination in the set into the mathematical model established in the previous step to calculate the corresponding triphenyl phosphite production;

[0033] Define a solution quality function: triphenyl phosphite output / raw material usage. The higher the quality function result, the better the quality of the current solution. After setting a quality threshold, select solutions with quality higher than the quality threshold from each solution in the current set. Randomly select two solutions from the selected solutions, and then perform crossover and mutation operations to generate a new solution.

[0034] Repeat the above steps to continuously generate new flow combinations and evaluate their quality. Through such an iterative process, it is expected that a flow combination that can maximize the production of triphenyl phosphite will be found.

[0035] Preferably, the triphenyl phosphite production-related data include:

[0036] The input flow rates of raw materials phosphoric acid, phenol, and methanol are denoted as F1, F2, and F3;

[0037] The flow rate of triphenyl phosphite produced is recorded as P;

[0038] The flow rates of unreacted raw materials are denoted as R1, R2, and R3;

[0039] The flow converted into other by-products is denoted as L;

[0040] The heat of each material is phosphoric acid, phenol, methanol, triphenyl phosphite, unreacted raw materials and by-products, which are recorded as H1, H2, H3, P H , R1 H , R2 H , R3 H , L H ;

[0041] The heat loss of the reactor is recorded as H loss .

[0042] Beneficial technical effects of the present invention:

[0043] The present invention constructs a material balance model and an energy balance model and uses these models to predict the production process, thereby effectively optimizing the input flow rate of raw materials and energy input, thereby increasing the yield of triphenyl phosphite. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a schematic diagram of a process according to an embodiment of the present invention; DETAILED DESCRIPTION

[0045] In order to make the technical solution of the present invention more clear and specific to those skilled in the art, the present invention is further described in detail below with reference to embodiments and drawings, but the embodiments of the present invention are not limited thereto.

[0046] like Figure 1 As shown, this embodiment provides.

[0047] A method for designing a production system for triphenyl phosphite comprises the following steps:

[0048] Step 1: Establish a process model;

[0049] 1.1、Define the system:

[0050] The system is a system for producing triphenyl phosphite. The raw materials are phosphoric acid, phenol and methanol. The main output is triphenyl phosphite.

[0051] 1.2, describe the process:

[0052] Phosphoric acid, phenol, and methanol react in the reactor to produce triphenyl phosphite. The purpose of this step is to clearly define the input and output of the system and provide a basis for subsequent modeling.

[0053] 1.3. Establish material balance:

[0054] Assume that the input flow rates of phosphoric acid, phenol and methanol are F1, F2 and F3 respectively, the output flow rate of triphenyl phosphite is P, and the flow rates of unreacted raw materials are R1, R2 and R3;

[0055] Assuming the amount of phosphoric acid, phenol, and methanol lost or converted into other by-products as L1, L2, and L3, the following material balance equation is obtained:

[0056] F1=P+R1+L1

[0057] F2=3P+R2+L2

[0058] F3=P+R3+L3

[0059] Among them, L1, L2 and L3 represent the amount of phosphoric acid, phenol and methanol lost or converted into other by-products. The model established based on the above equations can more accurately reflect the actual process;

[0060] The purpose of this step is to describe the flow of materials in a quantitative way, providing a basis for subsequent model building and optimization;

[0061] 1.4 Establishing energy balance:

[0062] The heat of the input phosphoric acid, phenol and methanol are set to H1, H2 and H3 respectively, and the heat of the output triphenyl phosphite and unreacted raw materials are set to P_H, R1_H, R2_H and R3_H respectively;

[0063] Assuming the heat of the by-products generated during the reaction is L_H and the heat loss of the reactor is H_loss, the energy balance equation is obtained:

[0064] H1+H2+H3=P_H+R1_H+R2_H+R3_H+L_H+H_loss

[0065] In this equation:

[0066] · H1, H2, and H3 are the input heat of phosphoric acid, phenol, and methanol;

[0067] · P_H is the heat of triphenyl phosphite produced;

[0068] · R1_H, R2_H, and R3_H are the heats of unreacted phosphoric acid, phenol, and methanol;

[0069] · L_H is the heat of possible by-products, and the specific value needs to be determined based on the actual reaction;

[0070] · H_loss is the heat loss of the reactor, which may include heat loss due to heat transfer, radiation, etc.

[0071] All of the above heat is measured in joules and should be determined based on the actual reaction conditions and feedstock properties. The goal of this energy balance equation is to ensure energy conservation, help understand and quantify the energy flow in the process, and provide a basis for subsequent model building and optimization.

[0072] Step 2: Data collection:

[0073] Collect the following experimental data from the laboratory or the field:

[0074] The input flow rates of the raw materials (phosphoric acid, phenol, and methanol) are denoted as F1, F2, and F3;

[0075] The flow rate of triphenyl phosphite produced is recorded as P;

[0076] The flow rates of unreacted raw materials are denoted as R1, R2, and R3;

[0077] The flow converted into other by-products is denoted as L;

[0078] The heat of each material is phosphoric acid, phenol, methanol, triphenyl phosphite, unreacted raw materials and by-products, which are recorded as H1, H2, H3, P H , R1 H , R2 H , R3 H , L H ;

[0079] The heat loss of the reactor is recorded as H loss ;

[0080] Data can be obtained through laboratory testing or field collection, including laboratory batch tests, continuous flow tests, or data from actual production processes. It is important to note that all data collection should follow relevant data quality management principles to ensure data reliability and accuracy.

[0081] Step 3: Build the model:

[0082] Build a mathematical model based on the collected data:

[0083] For the material balance model, the following equation is obtained:

[0084] dF1 / dt=dP / dt+dR1 / dt+dL / dt

[0085] This equation represents the material balance of phosphoric acid. The dF1 / dt on the left is the rate of change of the flow of phosphoric acid into the reactor, and the dP / dt, dR1 / dt, and dL / dt on the right represent the rate of change of the flow of triphenyl phosphite generated, the unreacted and recovered phosphoric acid, and the conversion of phosphoric acid into other by-products, respectively.

[0086] ·dF2 / dt=3dP / dt+dR2 / dt+dL / dt

[0087] This equation represents the material balance of phenol. The dF2 / dt on the left is the rate of change of the flow rate of phenol entering the reactor. The 3dP / dt, dR2 / dt, and dL / dt on the right represent the rate of change of the flow rate of 3 times the triphenyl phosphite generated (because each triphenyl phosphite molecule contains three phenol molecules), the unreacted and recovered phenol, and the conversion of phenol to other by-products, respectively.

[0088] dF3 / dt=dP / dt+dR3 / dt+dL / dt

[0089] This equation represents the material balance of methanol. The dF3 / dt on the left is the rate of change of the flow of methanol into the reactor. The dP / dt, dR3 / dt, and dL / dt on the right represent the rate of change of the flow of triphenyl phosphite generated, the unreacted and recovered methanol, and the conversion of methanol into other by-products, respectively.

[0090] The above equations can help us understand the changes of each raw material during the reaction process and also provide an important mathematical basis for the optimization process;

[0091] Similarly, for the energy balance model, the following equation is obtained:

[0092] · This formula represents an energy balance model. The dH1 / dt, dH2 / dt, and dH3 / dt on the left represent the rate of change of energy (heat) of phosphoric acid, phenol, and methanol entering the reactor, respectively, which depends on their flow rates and physical properties.

[0093] The dP_H / dt, dR1_H / dt, dR2_H / dt, dR3_H / dt, and dL_H / dt on the right represent the rates of change of generated triphenyl phosphite, unreacted phosphoric acid, phenol, methanol, and the energy (heat) converted to other by-products, respectively;

[0094] (dH_loss) / dt represents the rate of change of heat loss in the reactor;

[0095] This formula shows that the energy entering the reactor (left side) is equal to the energy consumed and lost (right side). It can help understand the energy changes during the reaction and provide a mathematical basis for energy optimization.

[0096] The material balance model focuses on the mass flow of reactants (phosphoric acid, phenol, and methanol) and products (triphenyl phosphite and other possible by-products). These balance equations can describe the transformation and flow of materials in the production process.

[0097] The energy balance model focuses on the conversion and flow of energy during the reaction process, which reflects the process of heat energy being converted from input materials to products, by-products and possible heat losses;

[0098] The purpose of establishing this model (material balance model and energy balance model, which together constitute the mathematical model of the entire chemical reaction process) is to describe and predict the flow of materials and energy so that we can optimize the production process, improve efficiency and reduce costs. It can also help us better understand and control the production process.

[0099] Step 4: Model Validation

[0100] 4.1 Model Prediction

[0101] The established material balance model and energy balance model (a mathematical model composed of the two) are used to predict the experimental or production process. In this step, the input flow rate of raw materials (F1, F2, F3) and energy input (H1, H2, H3) are used as inputs of the model to predict the yield (P) of triphenyl phosphite, the flow rate of unreacted raw materials (R1, R2, R3) and energy output (P H , R1 H , R2 H , R3 H , L H , H loss );

[0102] 4.2 Comparison of prediction results and experimental data

[0103] Compare the model prediction results with the actual experimental or production data. When comparing, compare the predicted and actual values ​​of each material and energy, such as the predicted triphenyl phosphite production and the actual triphenyl phosphite production, the predicted unreacted flow rates of phosphoric acid, phenol and methanol and the actual unreacted flow rates, the predicted energy output and the actual energy output, etc.

[0104] 4.3. Calculating prediction error

[0105] Calculate the difference between the predicted results and the experimental data. This difference can be calculated in various ways, such as absolute error, relative error, mean square error, etc. If the prediction error is within an acceptable range, the model is considered valid.

[0106] The model predicts the yield of triphenyl phosphite to be P_pred = 100 kg, but the actual experimental data shows that the yield is P_actual = 95 kg. Then, we can calculate the prediction error:

[0107] · Absolute error = |P_pred - P_actual| = |100 - 95| = ​​5 kg

[0108] · Relative error = absolute error / P_actual = 5 / 95 = 0.053 or 5.3%;

[0109] If the acceptable prediction error range is ±5%, then the error predicted by the model is within the acceptable range, so the model can be considered valid;

[0110] If the prediction error is not within an acceptable range, then the parameters of the mathematical model need to be adjusted;

[0111] After making adjustments, prediction and verification are performed again until the prediction error of the model is within an acceptable range;

[0112] Step 5: Optimize the production of triphenyl phosphite using the system:

[0113] With the goal of maximizing triphenyl phosphite production (P), the algorithm is used to adjust the input flow rate of raw materials (F1, F2, F3) to find the input flow rate that maximizes the triphenyl phosphite production;

[0114] The algorithm is used to adjust the input flow of raw materials as follows:

[0115] 1. Initialize a set of raw material input flow combinations: Create a set containing multiple raw material input flow combinations (F1, F2, F3), each of which can be regarded as a solution.

[0116] 2. Evaluate the effectiveness of the raw material input flow rate combinations: Evaluate the effectiveness of each flow rate combination based on the triphenyl phosphite production. Specifically, substitute each flow rate combination into the mathematical model established in the previous step and calculate the corresponding triphenyl phosphite production.

[0117] 3. Select an excellent raw material input flow combination: Define a solution quality function: triphenyl phosphite output / raw material usage. The higher the quality function result, the better the quality of the current solution. After setting a quality threshold, select the solution with a quality higher than the quality threshold from each solution in the current set. Randomly select two solutions from the selected solutions, and then perform crossover and mutation operations to generate a new solution.

[0118] 4. Generate new raw material input flow combinations: Randomly select two from the selected excellent flow combinations, and then perform an operation similar to "crossover" to generate two new flow combinations. In this process, by introducing a certain amount of randomness, an operation similar to "mutation" is performed to generate some new flow combinations;

[0119] 5. The above steps will be repeated to continuously generate new flow combinations and evaluate their effects. Through this iterative process, we hope to eventually find a flow combination that can maximize the production of triphenyl phosphite;

[0120] The technical effects of this step are mainly reflected in the following points:

[0121] 1. Increase production: By finding the optimal input flow combination, the production of triphenyl phosphite can be maximized, thereby improving production efficiency and economic benefits.

[0122] 2. Reduce costs: Finding the best combination of raw material inputs can reduce unnecessary raw material waste while meeting production needs, thereby saving costs.

[0123] 3. Optimize the process: This step can provide data support for the production process, help develop a better production process, and improve the controllability and stability of production.

[0124] After establishing a mathematical model between triphenyl phosphite production and raw material input flow in the previous step, this step uses this model to optimize the production process through an optimization algorithm. This model-based optimization approach can not only improve production efficiency but also provide more accurate control of the production process, thereby improving production quality.

[0125] Step 6: Implementation and verification:

[0126] Apply the optimized raw material input flow rate to the actual production system to observe whether the actual triphenyl phosphite production is close to the predicted result. If the result is not satisfactory, return to step 5 for further optimization.

[0127] In summary, in this embodiment, by constructing a material balance model and an energy balance model and using these models to predict the production process, the input flow rate of raw materials and energy input can be effectively optimized, thereby increasing the yield of triphenyl phosphite.

[0128] The above is only a further embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes based on the technical solutions and concepts of the present invention within the scope disclosed by the present invention, which fall within the scope of protection of the present invention.

Claims

1. A method for designing a production system for triphenyl phosphite, characterized in that: The following steps are involved: A mathematical model was established based on data related to triphenyl phosphite production, which included a material balance model and an energy balance model: For the material balance model, the following equation is obtained: dF1 / dt = dP / dt + dR1 / dt + dL / dt; In this formula, dF1 / dt is the rate of change of the flow rate of phosphoric acid entering the reactor, dP / dt, dR1 / dt and dL / dt are the rates of change of the flow rate of triphenyl phosphite generated, unreacted phosphoric acid recovered, and phosphoric acid converted to other by-products, respectively; dF2 / dt = 3dP / dt + dR2 / dt + dL / dt; In this formula, dF2 / dt is the rate of change of the flow rate of phenol entering the reactor, and 3dP / dt, dR2 / dt, and dL / dt on the right are the rates of change of 3 times the flow rate of triphenyl phosphite generated, unreacted and recovered phenol, and phenol converted to other by-products, respectively; dF3 / dt = dP / dt + dR3 / dt + dL / dt; In this formula, dF3 / dt is the rate of change of the flow rate of methanol entering the reactor, dP / dt, dR3 / dt and dL / dt represent the rate of change of the flow rate of triphenyl phosphite generated, unreacted and recovered methanol, and methanol converted to other by-products, respectively; For the energy balance model, the following equation is obtained: ； In this formula, dH1 / dt, dH2 / dt and dH3 / dt represent the rate of change of energy of phosphoric acid, phenol and methanol entering the reactor respectively; 、 、 、 and They represent the change rates of generated triphenyl phosphite, unreacted phosphoric acid, phenol, methanol, and energy converted into other by-products respectively; It represents the rate of change of heat loss from the reactor; Use the established material balance model and energy balance model to predict the experimental or production process. In this step: The input flow rates of raw materials phosphoric acid, phenol and methanol are F1, F2 and F3; The energy inputs H1, H2, and H3 of the raw materials phosphoric acid, phenol, and methanol serve as inputs to the model; Predict the yield P of triphenyl phosphite; The energies of the unreacted raw materials phosphoric acid, phenol, and methanol are R1, R2, and R3; Energy output 𝑃𝐻 、 𝑅1𝐻 、 𝑅2𝐻 、 𝑅3𝐻 、 𝐿𝐻 、 𝐻l𝑜𝑠𝑠; Compare the model prediction results with actual experimental or production data, and when comparing, compare the predicted and actual values ​​of each material and energy; Calculate the difference between the predicted results and the experimental data. If the prediction error is within an acceptable range, the model is considered valid. With the goal of maximizing the triphenyl phosphite yield P, the algorithm is used to adjust the input flow rates F1, F2, and F3 of the raw materials phosphoric acid, phenol, and methanol to find the input flow rate that maximizes the triphenyl phosphite yield; Apply the optimized raw material input flow rate to the actual production system to observe whether the actual triphenyl phosphite production is close to the predicted result. If the result is not satisfactory, return to step 1: with the goal of maximizing the triphenyl phosphite production P, use the algorithm to adjust the input flow rates F1, F2, and F3 of the raw materials phosphoric acid, phenol, and methanol to find the input flow rate that maximizes the triphenyl phosphite production and perform further optimization.

2. The method for designing a production system for triphenyl phosphite according to claim 1, wherein: The difference between the calculated prediction results and the experimental data is that if the prediction error is within an acceptable range, the model is considered to be effective. The model predicts that the yield of triphenyl phosphite is 𝑃𝑝𝑟𝑒d=100𝑘𝑔, but the actual experimental data shows that the yield is 𝑃𝑎𝑐𝑡𝑢𝑎l = 95𝑘𝑔, then: Absolute error = |𝑃 𝑝𝑟𝑒d − 𝑃 𝑎𝑐𝑡𝑢𝑎l | = |100 − 95| = ​​5 𝑘𝑔 Relative error = absolute error / 𝑃𝑎𝑐𝑡𝑢𝑎l = 5 / 95 = 0.053 or 5.3%; Assuming that the acceptable prediction error range is ±5%, the prediction error of the model is within the acceptable range, that is, the model is considered to be effective.

3. The method for designing a production system of triphenyl phosphite according to claim 1, wherein: The algorithm used to adjust the input flow of raw materials is specifically as follows: Create a set containing multiple raw material input flow combinations F1, F2 and F3, each flow combination as a solution; Substitute each flow combination in the set into the mathematical model established in the previous step to calculate the corresponding triphenyl phosphite production; Define a solution quality function: triphenyl phosphite output / raw material usage. The higher the quality function result, the better the quality of the current solution. After setting a quality threshold, select solutions from each solution in the current set whose quality exceeds the quality threshold. From the selected solutions, randomly select two, then perform crossover and mutation operations to generate a new solution. Repeat the above steps to continuously generate new flow combinations and evaluate their quality. Through such an iterative process, it is expected that a flow combination that can maximize the production of triphenyl phosphite will be found.

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