Plant fiber composite rubber and preparation method thereof

The plant fiber composite rubber, reinforced with flax and bamboo fibers, addresses the weakness of existing rubber materials by enhancing strength and noise absorption, providing effective vibration reduction and sound insulation.

CN119219994AInactive Publication Date: 2024-12-31DENGFU INVESTMENT (HAIKOU) CO LTD
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Patent Information

Application Number
CN202411296092.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-18
Publication Date
2024-12-31
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing rubber materials used in automobiles lack sufficient strength and are not effective in absorbing noise and vibration due to their poor mechanical properties, and natural fibers like cotton and hemp are not easily processed and break during use.

Method used

A plant fiber composite rubber is developed using a rubber matrix composed of natural rubber and styrene-butadiene rubber, reinforced with flax and bamboo fibers, along with additives and fillers like carbon black, white carbon black, and chopped glass fibers, processed through specific mastication, pretreatment, and vulcanization steps.

Benefits of technology

The composite rubber exhibits improved tensile strength, tear resistance, and sound absorption, maintaining structural stability under high temperatures and reducing noise and vibration effectively.

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Abstract

The invention discloses plant fiber composite rubber and a preparation method thereof.The plant fiber composite rubber comprises a rubber matrix and plant fiber filler, the rubber matrix is composed of natural rubber and butadiene styrene rubber, the plant fiber filler is composed of linen fibers and bamboo fibers, and the plant fiber composite rubber comprises, by weight, 70-100 parts of natural rubber, 20-30 parts of linen fibers, 20-30 parts of bamboo fibers and 20-30 parts of linen fibers. The invention relates to the technical field of composite rubber preparation, and relates to the technical field of composite rubber preparation. The composite rubber is prepared from, by weight, 30-50 parts of styrene butadiene rubber, 10-15 parts of linen fiber, 5-10 parts of bamboo fiber, 58-76 parts of reinforcing filler, 2.5-5 parts of sulfur, 1.5-3 parts of accelerant CBS and 20-39 parts of additive. The linen fibers and the bamboo fibers have high strength and toughness, and the chopped glass fibers have high strength and modulus, are uniformly dispersed in the rubber and interact with a rubber matrix, so that the tensile strength and the tear strength of the rubber are improved, and the rubber can bear larger external force without being damaged.
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Description

Technical Field

[0001] The invention relates to the technical field of composite rubber preparation, and in particular to a plant fiber composite rubber and a preparation method thereof. Background Art

[0002] As people's living standards improve, they have higher requirements for the comprehensive performance of cars, among which the comfort of cars has become an important criterion for measuring car quality. The noise inside the car mainly comes from engine noise, tire noise, etc., which are transmitted into the car through various channels. However, the space inside the car is narrow and the noise cannot be effectively absorbed, which pollutes the interior environment and affects people's health and mood. In order to improve the interior environment and reduce vibration and noise inside the car, the development of automotive interior materials with good sound absorption, sound insulation, vibration reduction and other functions has become an important development trend.

[0003] Rubber materials have the characteristics of buffering, vibration reduction, sound absorption, sealing, softness and flexibility, and are widely used in the field of automobile vibration reduction and noise reduction. The strength of rubber is relatively poor. In actual use, an appropriate amount of short fibers are usually added to the rubber matrix to give the material excellent properties such as high modulus, tear resistance, puncture resistance, and load resistance. Natural plant fibers such as cotton fibers and hemp fibers are biodegradable and pollution-free, and are not easy to break during processing. They are suitable materials for reinforcing rubber. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a plant fiber composite rubber, comprising a rubber matrix and a plant fiber filler, wherein the rubber matrix is ​​composed of natural rubber and styrene-butadiene rubber, the plant fiber filler is composed of flax fiber and bamboo fiber, and the plant fiber composite rubber comprises the following raw materials in parts by weight: 70-100 parts of natural rubber, 30-50 parts of styrene-butadiene rubber, 10-15 parts of flax fiber, 5-10 parts of bamboo fiber, 58-76 parts of reinforcing filler, 2.5-5 parts of sulfur, 1.5-3 parts of accelerator CBS, and 20-39 parts of additives;

[0005] Preferably, the additive consists of antioxidant 4010NA, stearic acid, zinc oxide, plasticizer DOP, and lubricant, and the weight ratio of antioxidant 4010NA: stearic acid: zinc oxide: plasticizer DOP: lubricant is 2:2:5:10:1.

[0006] Preferably, the reinforcing filler comprises the following raw materials in parts by weight: 40-50 parts of carbon black N330, 15-20 parts of white carbon black, and 3-6 parts of chopped glass fibers.

[0007] A method for preparing plant fiber composite rubber comprises the following preparation steps:

[0008] Step S1: Rubber mastication: natural rubber and styrene-butadiene rubber are put into an internal mixer for mastication, the mastication temperature is controlled at 100°C-120°C, and the time is 5-10 minutes;

[0009] Step S2: pretreatment of plant fibers, placing flax fibers and bamboo fibers in a cellulase solution with a concentration of 0.05-0.25% by weight at a temperature of 40°C-50°C for 2-4 hours, taking them out to dry, placing them in a 5%-10% alkali solution, stirring for 15-30 minutes, taking them out, washing the fibers with clean water to remove moisture, and then crushing them using a crusher;

[0010] Step S3: adding fillers, sequentially adding carbon black N330, white carbon black and pretreated plant fiber to the plasticized rubber, and continuing to mix in the internal mixer, with the mixing system controlling the mixing temperature at 120°C-140°C for 10-15 minutes;

[0011] Step S4: adding glass fiber, adding the surface treated chopped glass fiber to the mixed rubber, mixing again, and controlling the mixing temperature at 120°C-140°C by the mixing system for 10-15 minutes;

[0012] Step S5: Adding additives, adding stearic acid, zinc oxide, antioxidant 4010NA, plasticizer DOP and lubricant in sequence, and controlling the mixing temperature by the mixing system at 5-10 minutes to fully mix the additives with the rubber, and then adding sulfur and accelerator CBS, and controlling the vulcanization temperature by the mixing system at 140°C-160°C for 10-15 minutes;

[0013] Step S6: vulcanization, taking out the mixed rubber compound and putting it into a flat vulcanizer for vulcanization, the vulcanization temperature is controlled between 140°C and 160°C by the mixing system, and the vulcanization time is 10-30 minutes;

[0014] Step S7: post-processing, after the vulcanization is completed, the product is taken out from the vulcanizer, cooled and trimmed, and excess burrs and impurities are removed to obtain the final plant fiber composite rubber product.

[0015] Preferably, the chopped glass fibers in step S3 are prepared in the following steps:

[0016] Step A1: prepare a treatment solution, the amount of the glass fiber treatment solution is 1%-3% of the mass of the glass fiber;

[0017] Step A2: Place the chopped glass fibers into a container and slowly pour in the silane coupling agent solution to ensure that the glass fibers are completely immersed;

[0018] Step A3: Use a stirrer or a glass rod to gently stir so that the glass fiber and the silane coupling agent solution are fully in contact. The stirring time is generally 30 minutes to 60 minutes;

[0019] Step A4: After stirring, take out the glass fiber and dry it at 60℃-80℃ to remove excess solvent.

[0020] Preferably, the method for preparing the treatment solution in step A1 comprises the following steps:

[0021] 1) Selecting a silane coupling agent treatment solution as a glass fiber treatment solution, and the amount of the glass fiber treatment solution is determined by the quality of the glass fiber;

[0022] 2) Calculate the amount of solvent anhydrous ethanol according to the required concentration and amount of glass fiber treatment solution and the concentration of the silane coupling agent treatment solution itself, and measure it with a measuring cylinder and pour it into a clean container;

[0023] 3) calculating the amount of the silane coupling agent treatment solution according to the concentration and amount of the glass fiber treatment solution in 2) and the concentration of the silane coupling agent treatment solution itself, weighing it with an analytical balance, and slowly adding it to a container containing anhydrous ethanol solvent;

[0024] 4) using a stirrer to stir the solution at a moderate stirring speed for generally 15-60 minutes until the silane coupling agent is completely dissolved in the solvent to form a uniform glass fiber treatment solution;

[0025] The silane coupling agent solution adopts a mixed solvent of KH-550 and KH-560, and the molar ratio of KH-550 to KH-560 is 2.09:1.

[0026] Preferably, the mixing system includes the following mixing method:

[0027] Step B1: monitor the weight change of the mixed material in real time through a weighing sensor installed on the supporting structure of the internal mixer, transmit the weight signal to the control system, and set the thickness monitoring module;

[0028] Step B2: Using a non-contact laser thickness gauge installed in the internal mixer, the thickness change of the mixed material during the mixing process is measured. The laser thickness gauge transmits the measured thickness data to the control system for analyzing the mixing effect and adjusting the mixing parameters;

[0029] Step B3: multiple temperature sensors are installed inside the internal mixer and distributed at different positions. The temperature sensors transmit temperature data to the control system. The control system adjusts the heating and cooling systems of the internal mixer according to the preset temperature value to achieve precise temperature control;

[0030] Step B4: When the mixing time reaches a preset value, the control system sends a signal to stop the operation of the internal mixer;

[0031] Step B5: A mixing control model is set up inside the control system. The mixing control model consists of a multivariate linear regression model and a neural network model. The data of material thickness, machine temperature and material weight are collected and learned, and the mixed material is monitored based on historical data to predict the optimal mixing time. The operator actually judges the input timing time based on the predicted value and historical data value, and can also preset the mixing time through the control system.

[0032] Preferably, the acquired data of material thickness, machine temperature and material weight are input into a trained mixing control model, and the model calculates the actual mixing time by changing the acquired data.

[0033] Preferably, the algorithm formula for the mixing time predicted by the multivariate linear regression model in the mixing control model is as follows:

[0034] T lr =β0+β1T+β2Temp+β3W+ε

[0035] Among them, T lr is the mixing time of the multivariate linear regression model, β0 is the intercept, β1, β2, β3 are regression coefficients, ε is the error term, which represents the difference between the actual value and the model predicted value, T is the thickness, Temp is the temperature, and W is the mixing weight;

[0036] The prediction algorithm formula of the mixing time of the multivariate neural network model in the mixing control model is as follows:

[0037] The weight matrix from the input layer to the hidden layer is V,

[0038] Hidden layer output: H = f(V X + b1)

[0039] Among them, H is the hidden layer output, V is the weight matrix, size is 3×n, and is the bias vector, size is

[0040] b1

[0041] is n×1, f is the activation function;

[0042] Output layer output:

[0043] Among them, T nn is the mixing time of the multivariate neural network model, g is the linear activation function, W2 is the weight vector n×1, b2 is the bias vector, and an additional parameter is provided for the output layer to adjust the output value.

[0044] Preferably, the mixing time predicted by the multivariate linear regression model and the mixing time predicted by the multivariate neural network model in the mixing control model are calculated based on the acquired time by the collected data, and then a comprehensive prediction algorithm is used to perform a comprehensive prediction to calculate the final predicted value. The formula of the comprehensive prediction algorithm is as follows:

[0045] T pred =αT lr +(1-α)T nn

[0046] Among them, α is the weighting coefficient, which is adjusted according to actual conditions.

[0047] The present invention provides a plant fiber composite rubber and a preparation method thereof, which has the following beneficial effects:

[0048] 1. Flax fiber and bamboo fiber have high strength and toughness. When rubber is subjected to external force, the fiber can bear part of the load and improve the tensile strength and tear strength of the rubber. The thermal decomposition temperature of flax fiber is relatively high, and obvious thermal decomposition begins at about 200-250°C. Bamboo fiber has good heat resistance, which enables rubber to maintain structural stability in high temperature environments. Flax fiber, bamboo fiber and short glass fiber can play a light shielding role in rubber, reduce the direct exposure of light to rubber molecules, and reduce the probability of photo-oxidation reaction.

[0049] 2. Chopped glass fiber has high strength and modulus, is evenly dispersed in rubber, interacts with the rubber matrix, and improves the bearing capacity of the rubber. During the stretching or compression process, the glass fiber can effectively transfer stress, allowing the rubber to withstand greater external forces without damage. Chopped glass fiber has excellent heat resistance and a low thermal expansion coefficient. It can maintain good dimensional stability in high temperature environments and improve the rubber's resistance to heat deformation.

[0050] 3. White carbon black has a high specific surface area and good reinforcement properties. It works synergistically with carbon black N330 and fiber filler to significantly improve the strength of rubber.

[0051] 4. The order of adding fillers can make the fillers more evenly dispersed in the rubber and avoid the occurrence of filler agglomeration. At the same time, the mixing temperature is controlled at 120℃-140℃ and the mixing time is 10-15 minutes to ensure that the fillers and rubber are fully mixed to improve the performance of the composite material. DETAILED DESCRIPTION

[0052] The present invention will be further described in detail below in conjunction with specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0053] Embodiment 1, a plant fiber composite rubber, comprising a rubber matrix and a plant fiber filler, wherein the rubber matrix is ​​composed of natural rubber and styrene-butadiene rubber, the plant fiber filler is composed of flax fiber and bamboo fiber, and the plant fiber composite rubber comprises the following raw materials in parts by weight: 70-100 parts of natural rubber, 30-50 parts of styrene-butadiene rubber, 10-15 parts of flax fiber, 5-10 parts of bamboo fiber, 58-76 parts of reinforcing filler, 2.5-5 parts of sulfur, 1.5-3 parts of accelerator CBS, and 20-39 parts of additives;

[0054] Preferably, a plant fiber composite rubber comprises a rubber matrix and a plant fiber filler, wherein the rubber matrix is ​​composed of natural rubber and styrene-butadiene rubber, the plant fiber filler is composed of flax fiber and bamboo fiber, and the plant fiber composite rubber comprises the following raw materials in parts by weight: 85 parts of natural rubber, 40 parts of styrene-butadiene rubber, 12.5 parts of flax fiber, 7.5 parts of bamboo fiber, 67 parts of reinforcing filler, 3.75 parts of sulfur, 2.25 parts of accelerator CBS, and 29.5 parts of additives;

[0055] Preferably, the additive consists of antioxidant 4010NA, stearic acid, zinc oxide, plasticizer DOP, and lubricant, and the weight ratio of antioxidant 4010NA: stearic acid: zinc oxide: plasticizer DOP: lubricant is 2:2:5:10:1.

[0056] Preferably, the reinforcing filler comprises the following raw materials in parts by weight: 40-50 parts of carbon black N330, 15-20 parts of white carbon black, and 3-6 parts of chopped glass fibers.

[0057] Embodiment 2, a method for preparing plant fiber composite rubber, comprising the following preparation steps:

[0058] Step S1: Rubber mastication: natural rubber and styrene-butadiene rubber are put into an internal mixer for mastication, the mastication temperature is controlled at 100°C-120°C, and the time is 5-10 minutes;

[0059] Step S2: pretreatment of plant fibers, placing flax fibers and bamboo fibers in a cellulase solution with a concentration of 0.05-0.25% by weight at a temperature of 40°C-50°C for 2-4 hours, taking them out to dry, placing them in a 5%-10% alkali solution, stirring for 15-30 minutes, taking them out, washing the fibers with clean water to remove moisture, and then crushing them using a crusher;

[0060] Step S3: adding fillers, sequentially adding carbon black N330, white carbon black and pretreated plant fiber to the plasticized rubber, and continuing to mix in the internal mixer, with the mixing system controlling the mixing temperature at 120°C-140°C for 10-15 minutes;

[0061] Step S4: adding glass fiber, adding the surface treated chopped glass fiber to the mixed rubber, mixing again, and controlling the mixing temperature at 120°C-140°C by the mixing system for 10-15 minutes;

[0062] Step S5: Adding additives, adding stearic acid, zinc oxide, antioxidant 4010NA, plasticizer DOP and lubricant in sequence, and controlling the mixing temperature by the mixing system at 5-10 minutes to fully mix the additives with the rubber, and then adding sulfur and accelerator CBS, and controlling the vulcanization temperature by the mixing system at 140°C-160°C for 10-15 minutes;

[0063] Step S6: vulcanization, taking out the mixed rubber compound and putting it into a flat vulcanizer for vulcanization, the vulcanization temperature is controlled between 140°C and 160°C by the mixing system, and the vulcanization time is 10-30 minutes;

[0064] Step S7: post-processing, after the vulcanization is completed, the product is taken out from the vulcanizer, cooled and trimmed, and excess burrs and impurities are removed to obtain the final plant fiber composite rubber product.

[0065] Preferably, the chopped glass fibers in step S3 are prepared in the following steps:

[0066] Step A1: prepare a treatment solution, the amount of the glass fiber treatment solution is 1%-3% of the mass of the glass fiber;

[0067] Step A2: Place the chopped glass fibers into a container and slowly pour in the silane coupling agent solution to ensure that the glass fibers are completely immersed;

[0068] Step A3: Use a stirrer or a glass rod to gently stir so that the glass fiber and the silane coupling agent solution are fully in contact. The stirring time is generally 30 minutes to 60 minutes;

[0069] Step A4: After stirring, take out the glass fiber and dry it at 60℃-80℃ to remove excess solvent.

[0070] Preferably, the method for preparing the treatment solution in step A1 comprises the following steps:

[0071] 1) Selecting a silane coupling agent treatment solution as a glass fiber treatment solution, and the amount of the glass fiber treatment solution is determined by the quality of the glass fiber;

[0072] 2) Calculate the amount of solvent anhydrous ethanol according to the required concentration and amount of glass fiber treatment solution and the concentration of the silane coupling agent treatment solution itself, and measure it with a measuring cylinder and pour it into a clean container;

[0073] 3) calculating the amount of the silane coupling agent treatment solution according to the concentration and amount of the glass fiber treatment solution in 2) and the concentration of the silane coupling agent treatment solution itself, weighing it with an analytical balance, and slowly adding it to a container containing anhydrous ethanol solvent;

[0074] 4) using a stirrer to stir the solution at a moderate stirring speed for generally 15-60 minutes until the silane coupling agent is completely dissolved in the solvent to form a uniform glass fiber treatment solution;

[0075] The silane coupling agent solution adopts a mixed solvent of KH-550 and KH-560, and the molar ratio of KH-550 to KH-560 is 2.09:1.

[0076] Embodiment 3, the mixing system comprises the following mixing method:

[0077] Step B1: monitor the weight change of the mixed material in real time through a weighing sensor installed on the supporting structure of the internal mixer, transmit the weight signal to the control system, and set the thickness monitoring module;

[0078] Step B2: Using a non-contact laser thickness gauge installed in the internal mixer, the thickness change of the mixed material during the mixing process is measured. The laser thickness gauge transmits the measured thickness data to the control system for analyzing the mixing effect and adjusting the mixing parameters;

[0079] Step B3: multiple temperature sensors are installed inside the internal mixer and distributed at different positions. The temperature sensors transmit temperature data to the control system. The control system adjusts the heating and cooling systems of the internal mixer according to the preset temperature value to achieve precise temperature control;

[0080] Step B4: When the mixing time reaches a preset value, the control system sends a signal to stop the operation of the internal mixer;

[0081] Step B5: A mixing control model is set up inside the control system. The mixing control model consists of a multivariate linear regression model and a neural network model. The data of material thickness, machine temperature and material weight are collected and learned, and the mixed material is monitored based on historical data to predict the optimal mixing time. The operator actually judges the input timing time based on the predicted value and historical data value, and can also preset the mixing time through the control system.

[0082] Preferably, the acquired data of material thickness, machine temperature and material weight are input into a trained mixing control model, and the model calculates the actual mixing time by changing the acquired data.

[0083] Preferably, the algorithm formula for the mixing time predicted by the multivariate linear regression model in the mixing control model is as follows:

[0084] T lr =β0+β1T+β2Temp+β3W+ε

[0085] Among them, T lr is the mixing time of the multivariate linear regression model, β0 is the intercept, β1, β2, β3 are regression coefficients, ε is the error term, which represents the difference between the actual value and the model predicted value, T is the thickness, Temp is the temperature, and W is the mixing weight;

[0086] The prediction algorithm formula of the mixing time of the multivariate neural network model in the mixing control model is as follows:

[0087] The weight matrix from the input layer to the hidden layer is V,

[0088] Hidden layer output: H = f(V X + b1)

[0089] Among them, H is the hidden layer output, V is the weight matrix with a size of 3×n, b1 is the bias vector with a size of n×1, and f is the activation function;

[0090] Output layer output:

[0091] Among them, T nn is the mixing time of the multivariate neural network model, g is the linear activation function, W2 is the weight vector n×1, b2 is the bias vector, and an additional parameter is provided for the output layer to adjust the output value.

[0092] Preferably, the mixing time predicted by the multivariate linear regression model and the mixing time predicted by the multivariate neural network model in the mixing control model are calculated based on the acquired time by the collected data, and then a comprehensive prediction algorithm is used to perform a comprehensive prediction to calculate the final predicted value. The formula of the comprehensive prediction algorithm is as follows:

[0093] Tpred =αT lr +(1-α)T nn

[0094] Among them, α is the weighting coefficient, which is adjusted according to actual conditions.

[0095] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A plant fiber composite rubber, comprising a rubber matrix and a plant fiber filler, characterized in that: The rubber matrix is ​​composed of natural rubber and styrene-butadiene rubber, the plant fiber filler is composed of flax fiber and bamboo fiber, and the plant fiber composite rubber includes the following raw materials in parts by weight: 70-100 parts of natural rubber, 30-50 parts of styrene-butadiene rubber, 10-15 parts of flax fiber, 5-10 parts of bamboo fiber, 58-76 parts of reinforcing filler, 2.5-5 parts of sulfur, 1.5-3 parts of accelerator CBS, and 20-39 parts of additives.

2. The plant fiber composite rubber according to claim 1, characterized in that: The additives consist of antioxidant 4010NA, stearic acid, zinc oxide, plasticizer DOP, and lubricant, and the weight ratio of antioxidant 4010NA: stearic acid: zinc oxide: plasticizer DOP: lubricant is 2:2:5:10:

1.

3. The plant fiber composite rubber according to claim 1, characterized in that: The reinforcing filler comprises the following raw materials in parts by weight: 40-50 parts of carbon black N330, 15-20 parts of white carbon black, and 3-6 parts of chopped glass fibers.

4. A method for preparing a plant fiber composite rubber, characterized in that: The method comprises the following preparation steps: Step S1: Rubber mastication: natural rubber and styrene-butadiene rubber are put into an internal mixer for mastication, the mastication temperature is controlled at 100°C-120°C, and the time is 5-10 minutes; Step S2: pretreatment of plant fibers, placing flax fibers and bamboo fibers in a cellulase solution with a concentration of 0.05-0.25% by weight at a temperature of 40°C-50°C for 2-4 hours, taking them out to dry, placing them in a 5%-10% alkali solution, stirring for 15-30 minutes, taking them out, washing the fibers with clean water to remove moisture, and then crushing them using a crusher; Step S3: adding fillers, sequentially adding carbon black N330, white carbon black and pretreated plant fiber to the plasticized rubber, and continuing to mix in the internal mixer, with the mixing system controlling the mixing temperature at 120°C-140°C for 10-15 minutes; Step S4: adding glass fiber, adding the surface treated chopped glass fiber to the mixed rubber, mixing again, and controlling the mixing temperature at 120°C-140°C by the mixing system for 10-15 minutes; Step S5: Adding additives, adding stearic acid, zinc oxide, antioxidant 4010NA, plasticizer DOP and lubricant in sequence, and controlling the mixing temperature by the mixing system at 5-10 minutes to fully mix the additives with the rubber, and then adding sulfur and accelerator CBS, and controlling the vulcanization temperature by the mixing system at 140°C-160°C for 10-15 minutes; Step S6: vulcanization, taking out the mixed rubber compound and putting it into a flat vulcanizer for vulcanization, the vulcanization temperature is controlled between 140°C and 160°C by the mixing system, and the vulcanization time is 10-30 minutes; Step S7: post-processing, after the vulcanization is completed, the product is taken out from the vulcanizer, cooled and trimmed, and excess burrs and impurities are removed to obtain the final plant fiber composite rubber product.

5. The method for preparing a plant fiber composite rubber according to claim 4, characterized in that: The chopped glass fibers in step S3 are prepared as follows: Step A1: prepare a treatment solution, the amount of the glass fiber treatment solution is 1%-3% of the mass of the glass fiber; Step A2: Place the chopped glass fibers into a container and slowly pour in the silane coupling agent solution to ensure that the glass fibers are completely immersed; Step A3: Use a stirrer or a glass rod to gently stir so that the glass fiber and the silane coupling agent solution are fully in contact. The stirring time is generally 30 minutes to 60 minutes; Step A4: After stirring, take out the glass fiber and dry it at 60℃-80℃ to remove excess solvent.

6. The method for preparing a plant fiber composite rubber according to claim 5, characterized in that: The method for preparing the treatment solution in step A1 comprises the following steps: 1) Selecting a silane coupling agent treatment solution as a glass fiber treatment solution, and determining the amount of the glass fiber treatment solution according to the quality of the glass fiber; 2) Calculate the amount of solvent anhydrous ethanol according to the required concentration and amount of glass fiber treatment solution and the concentration of the silane coupling agent treatment solution itself, and measure it with a measuring cylinder and pour it into a clean container; 3) calculating the amount of the silane coupling agent treatment solution according to the concentration and amount of the glass fiber treatment solution in 2) and the concentration of the silane coupling agent treatment solution itself, weighing it with an analytical balance, and slowly adding it to a container containing anhydrous ethanol solvent; 4) Using a stirrer to stir the solution at a moderate stirring speed, the stirring time is generally 15-60 minutes, until the silane coupling agent is completely dissolved in the solvent to form a uniform glass fiber treatment solution; The silane coupling agent solution adopts a mixed solvent of γ-aminopropyl triethoxysilane and γ-glycidyloxypropyl trimethoxysilane, and the molar ratio of γ-aminopropyl triethoxysilane to γ-glycidyloxypropyl trimethoxysilane is 2.09:

1.

7. The method for preparing a plant fiber composite rubber according to claim 4, characterized in that: The mixing system includes the following mixing method: Step B1: monitor the weight change of the mixed material in real time through a weighing sensor installed on the supporting structure of the internal mixer, transmit the weight signal to the control system, and set the thickness monitoring module; Step B2: Using a non-contact laser thickness gauge installed in the internal mixer, the thickness change of the mixed material during the mixing process is measured. The laser thickness gauge transmits the measured thickness data to the control system for analyzing the mixing effect and adjusting the mixing parameters; Step B3: multiple temperature sensors are installed inside the internal mixer and distributed at different positions. The temperature sensors transmit temperature data to the control system. The control system adjusts the heating and cooling systems of the internal mixer according to the preset temperature value to achieve precise temperature control; Step B4: When the mixing time reaches a preset value, the control system sends a signal to stop the operation of the internal mixer; Step B5: A mixing control model is set up inside the control system. The mixing control model consists of a multivariate linear regression model and a neural network model. The data of material thickness, machine temperature and material weight are collected and learned, and the mixed material is monitored based on historical data to predict the optimal mixing time. The operator actually judges the input timing time based on the predicted value and historical data value, and can also preset the mixing time through the control system.

8. The method for preparing a plant fiber composite rubber according to claim 7, characterized in that: The acquired data of material thickness, machine temperature and material weight are input into the trained mixing control model, and the model calculates the actual mixing time by changing the acquired data.

9. The method for preparing a plant fiber composite rubber according to claim 7, characterized in that: The algorithm formula for the mixing time predicted by the multivariate linear regression model in the mixing control model is as follows: T lr =β0+β1T+β2Temp+β3W+ε Among them, T lr is the mixing time of the multivariate linear regression model, β0 is the intercept, β1, β2, β3 are regression coefficients, ε is the error term, which represents the difference between the actual value and the model predicted value, T is the thickness, Temp is the temperature, and W is the mixing weight; The prediction algorithm formula of the mixing time of the multivariate neural network model in the mixing control model is as follows: The weight matrix from the input layer to the hidden layer is V, Hidden layer output: H = f(V X + b1) Among them, H is the hidden layer output, V is the weight matrix, size is 3×n, is the bias vector, size b1 is n×1, f is the activation function; Output layer output: Among them, T nn is the mixing time of the multivariate neural network model, g is the linear activation function, W2 is the weight vector n×1, b2 is the bias vector, and an additional parameter is provided for the output layer to adjust the output value.

10. The method for preparing a plant fiber composite rubber according to claim 9, characterized in that: The mixing time predicted by the multivariate linear regression model in the mixing control model and the mixing time predicted by the multivariate neural network model are calculated based on the collected data, and then the acquisition time is comprehensively predicted by the comprehensive prediction algorithm to calculate the final prediction value. The formula of the comprehensive prediction algorithm is as follows: T pred =αT lr +(1-α)T nn Among them, α is the weighting coefficient, which is adjusted according to actual conditions.