Organosilicone gel mechanical design method based on load spectrum
Through the mechanical design method of silicone gel based on load spectrum, a mapping relationship model of load environment-material formula-mechanical parameter-performance parameters was constructed, and multi-objective optimization was used to solve the problem of insufficient impact resistance of flexible OLED display devices in complex impact load environments, achieving efficient impact resistance optimization design.
Patent Information
- Application Number
- CN202411614135.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2025-03-07
AI Technical Summary
Flexible OLED electronic display equipment is prone to fragmentation, black spots, failure and other problems in complex impact load environments, which seriously threatens the safety and experience of smart equipment, and the research and development of traditional module materials cannot effectively solve this problem.
Using the mechanical design method of silicone gel based on load spectrum, a mapping relationship model between the load environment-material formula-mechanical parameter-performance parameters of silicone gel is constructed through the precise configuration of load environment, material formula, mechanical parameters and performance parameters, and a multi-objective optimization solution is achieved using machine learning algorithms.
The directional mechanical optimization design of the impact resistance of silicone gel is realized, which significantly improves the impact energy absorption rate and impact height enhancement rate, can quickly match the actual impact load environment, and improves the research and development targeting and efficiency of OLED module materials.
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Abstract
Description
Technical Field
[0001] The invention relates to the field of optical adhesives, and in particular to a load spectrum-based mechanical design method for organic silicon gel. Background Art
[0002] Silicone gel (SGA) has been widely used as a special adhesive in various rigid and flexible OLED (organic light-emitting diode) electronic display devices due to its excellent transparency, adhesion, weather resistance, mechanical properties and impact resistance, and is gradually being used to replace acrylic adhesives such as OCA (Optical clear adhesive) and PSA (Pressure-sensitive adhesive).
[0003] As the core material of OLED electronic display devices composed of multiple layers of functional films, silicone gel is not only used to meet the optical and bonding requirements of the product, but also needs to provide important impact protection under drop and bump load environments, especially for flexible OLED electronic display devices. However, under complex impact load environments such as bumps, drops and extrusions, flexible OLED display systems are prone to various appearance and functional problems such as fragmentation, black spots, and failure, and even overall structural damage, which seriously threatens the safety and experience of smart equipment. For sports and military equipment with strict impact resistance requirements, the expanded application of flexible OLED display technology in extreme impact environments is greatly limited.
[0004] In order to achieve efficient impact protection for OLED module materials such as silicone gel, a lot of research has been carried out at home and abroad in terms of material design and development and performance iteration optimization. However, due to the limitations of the module material's own performance and the unclear load environment of the actual application of the module material, no substantial benefits have been achieved.
[0005] OLED module materials such as silicone gel often weaken other properties while improving impact resistance. This is obviously unacceptable for OLED electronic display products with extremely strict requirements on optics, bending, bonding, mechanics and impact resistance. At the same time, traditional module material research and development is through trial and error and verification through experimental synthesis and material characterization. It cannot effectively solve the various complex mechanical environments faced in the actual application process, and has shortcomings such as long cycle, high cost and high contingency, so that it can no longer meet the research and development needs of OLED module materials. Therefore, improving the targeted research and development of OLED module materials, shortening the research and development cycle, and reducing the research and development cost have become research hotspots in the field of OLED electronic display. While maintaining the basic application indicators of silicone gel such as transparency, flexibility and dynamic bending, accelerating the improvement of the impact protection efficiency of silicone gel has always been an extremely urgent and significant technical problem. Summary of the invention
[0006] Purpose of the invention: In view of the relevant technical problems faced by silicone gel films for electronic display products described in the above-mentioned prior art, the present invention discloses a mechanical design method for silicone gel based on load spectrum. The present invention constructs a mapping relationship model between the load environment, material formula, mechanical parameters and performance parameters of silicone gel through precise configuration of load environment, material formula, mechanical parameters and performance parameters, so as to realize multi-objective optimization solution of silicone gel by using machine learning algorithm.
[0007] Technical solution: A load spectrum-based silicone gel mechanical design method, comprising the following steps:
[0008] Step 1: Based on the mechanical load spectrum analysis of silicone gel under impact environment, a mechanical parameter library of impact resistance is constructed and the value range of the corresponding mechanical parameters is determined;
[0009] Step 2: According to the value range of the mechanical parameters of the impact resistance of the silicone gel, a material formula set of the silicone gel is constructed, and the main control parameters of the formula that affect the performance parameters of the silicone gel and their value ranges are determined;
[0010] Step 3: Based on the material formula set of silicone gel, build a corresponding performance parameter library of silicone gel and clarify the value range of key performance parameters;
[0011] Step 4: According to the load environment spectrum, material formula set, mechanical parameters and performance parameter library of silicone gel, the design variable and mapping relationship model of "load environment-material formula-mechanical parameters-performance parameters" of silicone gel is constructed;
[0012] Step 5: Based on the design variables and constraints of silicone gel, construct the objective function of the mechanical optimization design of the impact resistance of silicone gel, and carry out multi-objective optimization solution and effectiveness verification of the objective function.
[0013] Furthermore, the mechanical parameters in the mechanical parameter library of impact resistance in step one include elastic modulus, loss factor and rate effect ratio.
[0014] Furthermore, the value ranges of the mechanical parameters in the mechanical parameter library of impact resistance in step 1 are as follows:
[0015] 20kPa≤elastic modulus≤60kPa, loss factor≥1.0, rate effect ratio≥8.0.
[0016] Furthermore, the raw materials of the formula of the organic silicone gel material described in step 2 include: methyl vinyl silicone rubber, silicone resin, dibenzoyl peroxide, hydrogenated silicone oil, tackifier, inhibitor, catalyst, crosslinking agent, anchoring agent, toluene and liquid polyborosiloxane with non-Newtonian fluid effect.
[0017] Furthermore, the main control parameters of the formula that affect the performance parameters of the silicone gel in step 2 include the content of silicone resin, the content of tackifier, the content of cross-linking agent, and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect, wherein:
[0018] The content of silicone resin is 20%≤≤40%, the content of tackifier is 0.3%≤≤0.6%, the content of cross-linking agent is 0.2%≤≤0.4%, and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect is 2%≤≤10%.
[0019] Furthermore, the key performance parameters in the key performance parameter library of the silicone gel in step three include impact energy absorption rate and impact height strengthening rate.
[0020] Furthermore, the value range of the key performance parameters in the key performance parameter library of the silicone gel in step 3 is:
[0021] Impact energy absorption rate ≥30%;
[0022] The impact height strengthening rate is ≥ 100%, and the constraints are: silicone gel thickness T = 50 μm, weight of impact steel ball m = 11.2 g, and impact height H0 for impact load test = 50 mm.
[0023] Furthermore, the design variables of “load environment-material formula-mechanical parameters-performance parameters” of the silicone gel in step 4 are composed of mechanical parameters and material formula parameters, wherein:
[0024] The mechanical parameters are composed of elastic modulus, loss factor and rate effect ratio;
[0025] The material formula parameters are composed of the content of silicone resin, the content of tackifier, the content of cross-linking agent, and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect.
[0026] Furthermore, the design variables and mapping relationship model of "load environment-material formula-mechanical parameters-performance parameters" of the silicone gel constructed in step 4 includes:
[0027] (41) Integrate the load environment spectrum Z, material formula set M, mechanical parameter library Q, and performance parameter library P of silicone gel, and distribute them to data systems A, B, C, and D respectively;
[0028] (42) Based on the load environment spectrum and performance parameter library of silicone gel, a mapping relationship model y between the load environment spectrum Z and the mechanical parameter library Q is established. P =f(x Z1 ,x Z2 ,……,x Zn );
[0029] (43) Based on the performance parameter library P and the mechanical parameter library Q of silicone gel, a mapping relationship model y between the performance parameter library P and the mechanical parameter library Q is established. Q =f(x P1 ,x P2 ,……,x Pn );
[0030] (44) Based on the mechanical parameter library Q of silicone gel and the material formula set M, a mapping relationship model y between the mechanical parameter library Q and the material formula set M is established. M =f(x Q1 ,x Q2 ,……,x Qn );
[0031] (45) for y P ,y Q and M After the mapping relationship model is mathematically normalized, the corresponding multi-parameter matrix relationship model Y(E R ,H R )=(y P ,y Q ,……,y M ) T .
[0032] Furthermore, in step 5, based on the design variables and constraints of the silicone gel, the objective function of the mechanical optimization design of the impact resistance of the silicone gel is constructed, including:
[0033] (51) The impact energy absorption rate E of silicone gelR and impact height strengthening rate H R The maximization of is the mechanical optimization design goal;
[0034] (52) Determine the following free constraints of the objective function: 20%≤silicone resin content≤40%, 0.3%≤tackifier content≤0.6%, 0.2%≤crosslinker content≤0.4%, 2%≤compound ratio of liquid polyborosiloxane with non-Newtonian fluid effect≤10%, 20kPa≤elastic modulus≤60kPa, loss factor≥1.0, rate effect ratio≥8.0, impact energy absorption rate≥30%, impact height strengthening rate≥100%, and the following fixed constraints of the objective function: silicone gel thickness T=50μm, steel ball weight m=11.2g, and impact height H0=50mm for impact load test;
[0035] (53) Based on the design variables and constraints, the objective function F(Y) of the mechanical optimization of silicone gel is constructed;
[0036] (54) The mechanical optimization problem of the impact resistance of silicone gel is simplified to solve Y = (y1, y2, ..., y n ) T Function relationship, so that the value of F(Y) reaches the maximum, that is, F(Y)=Max=(E R ,H R ).
[0037] The multi-objective optimization solution and effectiveness verification of the objective function in step five include: using the AAN artificial neural network system to approximate the objective function of the impact resistance of the silicone gel to construct an ANN neural network model, and using the NSGA-II non-dominated sorting genetic algorithm to iteratively solve the objective function of the silicone gel to obtain the Pareto optimal solution of the objective function, and using experiments to verify the accuracy of the optimization design method.
[0038] Beneficial effects: Compared with the prior art, the advantages of the present invention are:
[0039] (1) The present invention constructs an integrated design concept of material performance. By conducting a full factor analysis of "load environment-material formulation-mechanical parameters-performance parameters", the directional mechanical optimization design of the impact resistance of silicone gel is achieved from the overall design process.
[0040] (2) In view of the actual impact mechanical load scenarios faced by silicone gel, the present invention carries out multi-objective optimization design of performance from the mechanical parameter level of silicone gel, accurately obtains the optimal design parameters of the impact resistance of silicone gel and achieves a high degree of matching with the impact load spectrum.
[0041] (3) Based on the physical composite strategy of molecular dynamic cross-linking, the present invention innovatively introduces a highly liquid-permeable polyborosiloxane (FIAM flexible intelligent impact-resistant material) with non-Newtonian fluid effect into the SGA silicone gel, which can significantly improve the impact energy absorption rate and impact height reinforcement rate. On the one hand, the multiphase cross-linked network of PBS-SGA can disperse the impact energy, and its strong damping effect is conducive to promoting energy dissipation. On the other hand, the low modulus PBS-SGA can alleviate deformation transmission, but the transient modulus increase caused by molecular entanglement can inhibit impact deformation.
[0042] (4) It is possible to quickly achieve the optimal design of the impact resistance of silicone gel, thereby achieving a high degree of match with the actual impact load environment of silicone gel. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 The present invention discloses a flow chart of a method for mechanical design of silicone gel based on load spectrum.
[0044] Figure 2 Schematic diagram of the ANN artificial neural network model suitable for optimizing the impact resistance of silicone gel.
[0045] Figure 3 Flowchart for optimizing the objective function of silicone gel. DETAILED DESCRIPTION
[0046] The specific embodiments of the present invention are described in detail below.
[0047] The "range" disclosed in the present invention is defined in the form of a lower limit and an upper limit, and a given range is defined by selecting a lower limit and an upper limit, and the selected lower limit and upper limit define the boundaries of the particular range. The range defined in this way can be inclusive or exclusive of the end values, and can be arbitrarily combined, that is, any lower limit can be combined with any upper limit to form a range. For example, if a range of 10 to 50 is listed for a specific parameter, it is understood that the range of 10 to 40 and 20 to 50 is also expected. In addition, if the minimum range values 1 and 2 are listed, and if the maximum range values 3, 4 and 5 are listed, the following ranges can all be expected: 1 to 3, 1 to 4, 1 to 5, 2 to 3, 2 to 4 and 2 to 5. In this application, unless otherwise specified, the range of values "a to b" represents an abbreviation of any real number combination between a and b, where a and b are both real numbers. For example, the range of values "0 to 5" means that all real numbers between "0 to 5" have been fully listed in this article, and "0 to 5" is only an abbreviation of these numerical combinations.
[0048] Unless otherwise specified, all embodiments and optional embodiments of the present application can be combined with each other to form a new technical solution.
[0049] Unless otherwise specified, all technical features and optional technical features of this application can be combined with each other to form a new technical solution.
[0050] If there is no special explanation, all steps of the present application can be performed sequentially or randomly, preferably sequentially. For example, the method includes steps (a) and (b), which means that the method may include steps (a) and (b) performed sequentially, or may include steps (b) and (a) performed sequentially. For example, the method may further include step (c), which means that step (c) may be added to the method in any order. For example, the method may include steps (a), (b) and (c), or may include steps (a), (c) and (b), or may include steps (c), (a) and (b), etc.
[0051] If there is no special explanation, the "include" and "comprising" mentioned in this application represent open-ended or closed-ended expressions. For example, the "include" and "comprising" may represent that other components not listed may also be included or only the listed components may be included or only the listed components may be included.
[0052] Unless otherwise specified, the reaction is carried out at room temperature and pressure.
[0053] Unless otherwise specified, all parts or percentages are by weight.
[0054] In the present invention, all substances used are known substances and can be purchased or synthesized by known methods.
[0055] In the present invention, the devices or equipment used are all conventional devices or equipment known in the art and are commercially available.
[0056] like Figure 1 As shown, a load spectrum-based mechanical design method for silicone gel has the following steps:
[0057] Step 1: Based on the application scenarios of silicone gel in electronic display devices, the mechanical load spectrum and influence rules of silicone gel are systematically analyzed through experiments and simulation methods, and the mechanical parameter library and mechanical parameter constraints of silicone gel impact resistance are determined:
[0058] In impact mechanical environments such as falling or bumping, silicone gel mainly experiences deformation (D) and pressure (F P ) and other load environments.
[0059] Based on the method of combining impact experiment and simulation analysis, the impact deformation and impact pressure response of the silicone gel in the OLED module structure are extracted, and then the load environment spectrum under the corresponding impact condition is formed, where the impact deformation and impact pressure response of the silicone gel are analyzed by elastic modulus (E), loss factor (Tanδ) and rate effect ratio (R ε ) are effectively characterized by three mechanical parameters.
[0060] The elastic modulus (E) mainly affects the ability of silicone gel to buffer and suppress impact deformation; the higher the elastic modulus (E), the stronger the ability to suppress impact deformation, but the weaker the ability to buffer impact deformation.
[0061] The loss factor (Tanδ) mainly affects the impact energy absorption of silicone gel. A better loss factor helps to enhance the dissipation efficiency.
[0062] Rate effect ratio (R ε ) mainly reflects the mechanical deformation of silicone gel during impact. Low modulus silicone gel at low strain rate can effectively alleviate the transmission of impact deformation, while impact-induced high modulus silicone gel can effectively resist impact deformation. ε ) The elastic modulus change rate under shear rheology (rate effect ratio R ε =100Hz high frequency elastic modulus E2 / 0.1Hz low frequency elastic modulus E1-1) for characterization.
[0063] According to the impact protection of silicone gel on OLED display screen and other functional goals, the value (constraint condition) of silicone gel load spectrum is determined as silicone gel thickness T = 50μm, steel ball weight m = 11.2g, steel ball impact height H0 = 50mm (only applicable to impact load test), and the value range (constraint condition) of the main control mechanical parameters of impact resistance is determined as 20kPa≤elastic modulus E≤60kPa (1Hz room temperature rheological data, considering the bending effect in flexible display device), loss factor Tanδ≥1.0 (1Hz room temperature rheological data), rate effect ratio R ε ≥8.0 (rheological data at room temperature).
[0064] Step 2: Based on the value range of mechanical parameters of the impact resistance of silicone gel, and on the premise of meeting the optical and adhesive properties of silicone gel, establish the material formula set and preparation process of silicone gel, construct the material formula set of silicone gel, and determine the formula main control parameters and their value ranges that affect the performance parameters of silicone gel:
[0065] The raw materials in the material formula of silicone gel include methyl vinyl silicone rubber, silicone resin, dibenzoyl peroxide, hydrogen silicone oil, tackifier, inhibitor, catalyst, cross-linking agent, anchoring agent, toluene and liquid polyborosiloxane with non-Newtonian fluid effect (solution-type FIAM flexible intelligent impact-resistant material disclosed in Chinese patent application CN116120586A).
[0066] The preparation process of organic silicon gel and its composite liquid polyborosiloxane with non-Newtonian fluid effect includes the following steps:
[0067] A. According to the material ratio, dissolve the methyl vinyl silicone rubber in the toluene solvent and stir evenly in a reaction kettle to obtain a silicone rubber mixed liquid;
[0068] B. Add silicone resin and liquid polyborosiloxane with non-Newtonian fluid effect into the silicone rubber mixture and stir for 10 minutes;
[0069] C. Add dibenzoyl peroxide, hydrogenated silicone oil, tackifier, inhibitor, catalyst, crosslinking agent and anchoring agent to the mixed liquid in the reaction kettle, and apply the prepared silicone gel solution on the PET fluorine release film using a high-precision film applicator (thickness 50 μm) after degassing in vacuum (-0.1 MPa);
[0070] D. Place the coated silicone gel in a vacuum oven at 80°C to pre-evaporate the solvent for 3 to 5 minutes to prevent bubbles from forming when the film is cured;
[0071] E. Place the organic silicone gel film in a vacuum oven at 150° C. for 3 to 5 minutes for cross-linking reaction to cure and form a corresponding organic silicone gel film product.
[0072] According to the comprehensive performance analysis of the silicone gel haze (≤1%), light transmittance (≥92%), PET room temperature peeling force (≥1500gf / inch and 80℃ peeling force (>800gf / inch) under various material formulas, the main control formula parameters (constraints) of the silicone gel that meets the index requirements are determined as the content of silicone resin (SR), the content of tackifier (TA), the content of cross-linking agent (CA), and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect (PBS), and the value range is determined to be 20%≤SR≤40%, 0.3%≤TA≤0.6%, 0.2%≤CA≤0.4%, and 2%≤PBS≤10%. Among them:
[0073] The elastic modulus (E) of silicone gel is mainly affected by the cross-linking agent ratio; the higher the cross-linking agent ratio, the greater the molecular cross-linking density and the higher the initial elastic modulus.
[0074] The internal friction characteristic (loss factor, Tanδ) is the ratio of the viscous modulus to the elastic modulus, which is mainly affected by the ratio of the thickener, cross-linker and PBS, and generally increases with increasing ratio.
[0075] Rate effect ratio (R ε ) is mainly affected by the ratio of cross-linker to PBS; the higher the cross-linker ratio, the greater the initial entanglement density of the molecular chain, but the further weakening of the entanglement effect will weaken the enhancement of the rate effect; the higher the PBS ratio, the more sufficient the dynamic cross-linking effect formed with the silicone molecular chain (the more obvious the rate effect), but excessive PBS will weaken the self-entanglement of the silicone gel molecular chain.
[0076] Step 3: According to the material formula set of silicone gel and the silicone gel film formed by each material formula, establish the corresponding silicone gel key performance parameter library and clarify the value range of the key performance parameters:
[0077] The performance parameters of silicone gel include:
[0078] Impact force (F I )——Based on the peak impact force on the back of the silicone gel (thickness T) under the impact load of a steel ball (weight m, height H0), the energy absorption characteristics of the silicone gel can be quantitatively evaluated; the lower the peak impact force, the higher the energy absorption efficiency of the silicone gel.
[0079] Impact protection height (H I )——The maximum height at which the OLED display fails under the impact of a steel ball (weight m, height H0) can most truly reflect the impact protection performance of the silicone gel on the OLED display; the greater the impact protection height, the better the impact resistance of the silicone gel.
[0080] Since the impact force and impact protection of silicone gel are highly affected by the characteristics of the OLED display, the key performance of silicone gel in the key performance parameter library is composed of impact energy absorption rate (E R ) and impact protection height improvement rate (H R ) for quantification.
[0081] According to the application scenarios of silicone gel in electronic display devices, the impact energy absorption rate (E R ) and impact height strengthening rate (H R ) verification. Among them:
[0082] Impact energy absorption rate (E R )The implementation steps of verification are:
[0083] ① Peel off the PET release film on both sides of the 50μm thick silicone gel and stick it on the surface of the impact force sensor;
[0084] ②Magnetically attach a steel ball weighing 11.2g to the release device of the falling ball impact test system with an impact height of 50mm;
[0085] ③ Release the steel ball to vertically impact the silicone gel film in the form of free fall, and use a force sensor with a sampling frequency of 1 MHz to synchronously record the impact force-time response of the back of the silicone gel film;
[0086] ④ The no-load impact force-time response of the steel ball under impact was obtained simultaneously without the protection of the silicone gel film. After obtaining the peak impact force under no-load and film-attached impact, the impact energy absorption rate E of the silicone gel was calculated. R =1-no-load impact force / film impact force.
[0087] Impact height strengthening rate (H R )The implementation steps of verification are:
[0088] ① Peel off the PET release films on both sides of the 50μm thick silicone gel and stick them on the module structure surface of the existing OLED electronic display product;
[0089] ②Magnetically attach a steel ball weighing 11.2g to the release device of the falling ball impact test system at a certain impact height (the initial height is determined by the actual impact resistance of the silicone gel);
[0090] ③ Release the steel ball to vertically impact the silicone gel module in the form of free fall. When no pixel failure occurs on the OLED display screen after 5 impacts, it is considered that the silicone gel has formed an effective impact protection for the OLED;
[0091] ④Continuously increase the impact height of the steel ball, and take the height at which the OLED fails as the ultimate impact protection height of the silicone gel. Simultaneously obtain the no-load impact protection height without silicone gel protection, and calculate the impact protection enhancement rate H of the silicone gel. R = Impact protection height with film attached / impact protection height without load - 1.
[0092] According to the optimal performance parameters obtained from the impact resistance verification of silicone gel under various material formulas and the technical status of the same-thickness silicone gel used in existing OLED displays, the range of performance parameters used as constraints of the objective function of mechanical optimization of silicone gel is set to E R ≥30% (organic silicon gel is 50μm thick, 11.2g-50mm steel ball impact); H R ≥100% (silicone gel is 50um thick, 4g steel ball impact), and the constraints include silicone gel thickness T = 50μm, impact steel ball weight m = 11.2g, impact height H0 = 50mm (only applicable to impact load test).
[0093] Step 4: Based on the load environment spectrum, material formula set, mechanical parameters and performance parameter library (including value range) of silicone gel, use mathematical equation fitting to construct the design variable and mapping relationship model of "load environment-material formula-mechanical parameters-performance parameters" of silicone gel:
[0094] As an important bridge between material formulation and performance parameters, it will include elastic modulus (E), loss factor (internal friction, Tanδ) and rate effect ratio (R ε ) are used as the design variables of the objective function, so as to construct a mapping relationship model between material formula and performance parameters through the objective function.
[0095] The implementation steps of constructing the design variables and mapping relationship model of "load environment-material formula-mechanical parameters-performance parameters" of silicone gel are as follows:
[0096] ① Integrate the load environment spectrum (Z), material formula set (M), mechanical parameter library (Q), and performance parameter library (P) of silicone gel, and distribute them to data systems A, B, C, and D respectively;
[0097] ② According to the load environment spectrum and performance parameter library of silicone gel, a mapping relationship model between the load environment spectrum (Z) and the mechanical parameter library (Q) is established. P =f(x Z1 ,x Z2 ,……,x Zn );
[0098] ③ According to the performance parameter library (P) and mechanical parameter library (Q) of silicone gel, a mapping relationship model between the performance parameter library (P) and the mechanical parameter library (Q) is established. Q =f(x P1 ,x P2 ,……,x Pn );
[0099] ④ According to the mechanical parameter library (Q) and material formula set (M) of silicone gel, a mapping relationship model between the mechanical parameter library (Q) and the material formula set (M) is established. M =f(x Q1 ,x Q2 ,……,x Qn );
[0100] ⑤ For y P ,y Q and M After the mapping relationship model is mathematically normalized, the corresponding multi-parameter matrix relationship model Y(E R ,H R )=(yP ,y Q ,……,y M ) T .
[0101] Step 5: Based on the design variables and constraints of silicone gel, construct the objective function for the mechanical optimization design of silicone gel impact resistance, and carry out multi-objective optimization solution and effectiveness verification of the objective function:
[0102] The mechanical optimization objective function of the impact resistance of silicone gel is constructed, and the implementation process includes:
[0103] (51) Under the corresponding load environment spectrum, the impact energy absorption rate (E R ) and impact height strengthening rate (H R ) is the maximization of mechanical optimization design goal;
[0104] (52) Determine the following: 20%≤SR≤40%, 0.3%≤TA≤0.6%, 0.2%≤CA≤0.4%, 2%≤PBS≤10%, 20kPa≤E≤60kPa, Tanδ≥1.0, R ε ≥8.0, E R ≥30%、H R ≥100% is the free constraint condition of the objective function, and T = 50 μm, m = 11.2 g, H0 = 50 mm are the fixed constraints of the objective function;
[0105] (53) Based on the design variables and constraints, the objective function F(Y) of the mechanical optimization of silicone gel is constructed;
[0106] (54) The mechanical optimization problem of the impact resistance of silicone gel is simplified to finding Y = (y1, y2, ..., y n ) T The optimal value of F(Y) is obtained, so that the value of F(Y) reaches the maximum value, that is, F(Y)=Max=(E R ,H R ):
[0107]
[0108] Implementation process of optimizing the objective function of silicone gel (such as Figure 3 shown) include:
[0109] ① Load and preprocess the data involved in the objective function to achieve data normalization and encoding processing;
[0110] ② Through the approximation of the objective function, an ANN artificial neural network model suitable for optimizing the impact resistance of silicone gel is constructed (such as Figure 2shown);
[0111] ③ Train the ANN artificial neural network model based on test data to evaluate the effectiveness of the model;
[0112] ④ Using the NSGA-II non-dominated sorting genetic algorithm, a set of initial solutions is randomly generated as the population of silicone gel, and each solution in the population is non-dominated sorted and divided into different levels to ensure that the better solution obtains a higher level;
[0113] ⑤ Calculate the crowding distance of the corresponding solution in each level of the solution to measure the distribution density of the solution in the target space;
[0114] ⑥ Select the non-inferior solution level and congestion distance, and select a group of excellent solutions as parent solutions, and perform crossover and compilation operations on them to form a newly generated solution;
[0115] ⑦ Combine the parent solution and the new solution into a new population and truncate it to the same size as the original population;
[0116] ⑧ Repeat steps ④ to ⑦ until the predetermined number of iterations or optimization target is achieved, and finally the Pareto optimal parameter solution of the objective function of the impact resistance of silicone is obtained, and its effectiveness is reversely verified.
[0117] Example 1 in the table below is the performance parameters of the silicone gel with the best impact resistance that is directly prepared.
[0118] Example 2 is an organic silicone gel with the best impact resistance parameters formed by compounding highly liquid-permeable polyborosiloxane with non-Newtonian fluid effect on the basis of Example 1.
[0119] The optimization example is the optimal solution for the impact resistance parameters predicted after optimizing the design using machine learning.
[0120] The verification example is the performance parameters of the silicone gel formed by preparing materials based on the optimization example.
[0121] The comparative example is the performance parameters of the organic silicone gel that has been used in OLED electronic display devices.
[0122]
[0123]
[0124] The above describes the embodiments of the present invention in detail. However, the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of ordinary technicians in the relevant technical field without departing from the purpose of the present invention.
Claims
1. A load spectrum-based mechanical design method for silicone gel, characterized in that: The following steps are involved: Step 1: Based on the mechanical load spectrum analysis of silicone gel under impact environment, a mechanical parameter library of impact resistance is constructed and the value range of the corresponding mechanical parameters is determined; Step 2: According to the value range of the mechanical parameters of the impact resistance of the silicone gel, a material formula set of the silicone gel is constructed, and the main control parameters of the formula that affect the performance parameters of the silicone gel and their value ranges are determined; Step 3: Based on the material formula set of silicone gel, build a corresponding performance parameter library of silicone gel and clarify the value range of key performance parameters; Step 4: According to the load environment spectrum, material formula set, mechanical parameters and performance parameter library of silicone gel, the design variable and mapping relationship model of "load environment-material formula-mechanical parameters-performance parameters" of silicone gel is constructed; Step 5: Based on the design variables and constraints of silicone gel, construct the objective function of the mechanical optimization design of the impact resistance of silicone gel, and carry out multi-objective optimization solution and effectiveness verification of the objective function.
2. A method for mechanical design of silicone gel based on load spectrum as claimed in claim 1, characterized in that: The mechanical parameters in the mechanical parameter library of impact resistance in step one include elastic modulus, loss factor and rate effect ratio.
3. A load spectrum-based silicone gel mechanical design method as claimed in claim 2, characterized in that: The value ranges of the mechanical parameters in the mechanical parameter library of impact resistance in step 1 are as follows: 20kPa≤elastic modulus≤60kPa, loss factor≥1.0, rate effect ratio≥8.
0.
4. The method for mechanical design of silicone gel based on load spectrum according to claim 1, characterized in that: The raw materials of the formula of the organic silicone gel material described in step 2 include: methyl vinyl silicone rubber, silicone resin, dibenzoyl peroxide, hydrogen silicone oil, tackifier, inhibitor, catalyst, crosslinking agent, anchoring agent, toluene and liquid polyborosiloxane with non-Newtonian fluid effect.
5. A method for mechanical design of silicone gel based on load spectrum as claimed in claim 4, characterized in that: The main control parameters of the formula that affect the performance parameters of the silicone gel in step 2 include the content of silicone resin, the content of tackifier, the content of cross-linking agent, and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect, wherein: The content of silicone resin is 20%≤≤40%, the content of tackifier is 0.3%≤≤0.6%, the content of cross-linking agent is 0.2%≤≤0.4%, and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect is 2%≤≤10%.
6. The method for mechanical design of silicone gel based on load spectrum according to claim 1, characterized in that: The key performance parameters in the key performance parameter library of the silicone gel in step three include impact energy absorption rate and impact height strengthening rate.
7. A method for mechanical design of silicone gel based on load spectrum as claimed in claim 6, characterized in that: The value range of the key performance parameters in the key performance parameter library of silicone gel in step 3 is: The impact energy absorption rate is ≥30%; the impact height strengthening rate is ≥100%, and the constraints are: silicone gel thickness T=50μm, impact steel ball weight m=11.2g, and impact height H0 for impact load test=50mm.
8. The method for mechanical design of silicone gel based on load spectrum according to claim 1, characterized in that: The design variables of "load environment-material formula-mechanical parameters-performance parameters" of the silicone gel in step 4 are composed of mechanical parameters and material formula parameters, among which: The mechanical parameters are composed of elastic modulus, loss factor and rate effect ratio; The material formula parameters are composed of the content of silicone resin, the content of tackifier, the content of cross-linking agent, and the composite ratio of liquid polyborosiloxane with non-Newtonian fluid effect.
9. The method for mechanical design of silicone gel based on load spectrum according to claim 1, characterized in that: The design variables and mapping relationship model of "load environment-material formula-mechanical parameters-performance parameters" of silicone gel constructed in step 4 includes: (41) Integrate the load environment spectrum Z, material formula set M, mechanical parameter library Q, and performance parameter library P of silicone gel, and distribute them to data systems A, B, C, and D respectively; (42) Based on the load environment spectrum and performance parameter library of silicone gel, a mapping relationship model y between the load environment spectrum Z and the mechanical parameter library Q is established. P =f(x Z1 ,x Z2 ,……,x Zn ); (43) Based on the performance parameter library P and the mechanical parameter library Q of silicone gel, a mapping relationship model y between the performance parameter library P and the mechanical parameter library Q is established. Q =f(x P1 ,x P2 ,……,x Pn ); (44) Based on the mechanical parameter library Q of silicone gel and the material formula set M, a mapping relationship model y between the mechanical parameter library Q and the material formula set M is established. M =f(x Q1 ,x Q2 ,……,x Qn ); (45) for y P ,y Q and M After the mapping relationship model is mathematically normalized, the corresponding multi-parameter matrix relationship model Y(E R ,H R )=(y P ,y Q ,……,y M ) T .
10. The method for mechanical design of silicone gel based on load spectrum according to claim 1, characterized in that: In step 5, based on the design variables and constraints of silicone gel, the objective function of the mechanical optimization design of the impact resistance of silicone gel is constructed, including: (51) The impact energy absorption rate E of silicone gel R and impact height strengthening rate H R The maximization of is the mechanical optimization design goal; (52) Determine the following free constraints of the objective function: 20%≤silicone resin content≤40%, 0.3%≤tackifier content≤0.6%, 0.2%≤crosslinker content≤0.4%, 2%≤compound ratio of liquid polyborosiloxane with non-Newtonian fluid effect≤10%, 20kPa≤elastic modulus≤60kPa, loss factor≥1.0, rate effect ratio≥8.0, impact energy absorption rate≥30%, impact height strengthening rate≥100%, and the following fixed constraints of the objective function: silicone gel thickness T=50μm, steel ball weight m=11.2g, and impact height H0=50mm for impact load test; (53) Based on the design variables and constraints, the objective function F(Y) of silicone gel mechanical optimization is constructed; (54) The mechanical optimization problem of the impact resistance of silicone gel is simplified to solve Y = (y1, y2, ..., y n ) T Function relationship, so that the value of F(Y) reaches the maximum, that is, F(Y)=Max=(E R ,H R ).
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