CN109408969B - Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model - Google Patents

Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model Download PDF

Info

Publication number
CN109408969B
CN109408969B CN201811263229.9A CN201811263229A CN109408969B CN 109408969 B CN109408969 B CN 109408969B CN 201811263229 A CN201811263229 A CN 201811263229A CN 109408969 B CN109408969 B CN 109408969B
Authority
CN
China
Prior art keywords
rubber
viscoelastic
model
parameters
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811263229.9A
Other languages
Chinese (zh)
Other versions
CN109408969A (en
Inventor
初红艳
孙冬明
陈立博
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Technology
Original Assignee
Beijing University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing University of Technology filed Critical Beijing University of Technology
Priority to CN201811263229.9A priority Critical patent/CN109408969B/en
Publication of CN109408969A publication Critical patent/CN109408969A/en
Application granted granted Critical
Publication of CN109408969B publication Critical patent/CN109408969B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Abstract

The invention discloses a method for identifying rubber viscoelastic parameters and establishing a constitutive model by using finite element software. And establishing a rubber superelasticity and viscoelastic constitutive model. And identifying viscoelastic parameters by combining experimental data with ANSYS. Inputting parameters of the constitutive model, filling the viscoelastic model according to the results of the three steps, carrying out grid division, setting boundary conditions, setting solving conditions, and carrying out calculation on the dynamic characteristics of the rubber. Compared with the prior method, the method is simple, the result is accurate and reliable, and the deviation of the result obtained by simulation analysis by the method is less than 3%. The method has positive significance for identifying the viscoelastic parameters of the rubber and analyzing the dynamic characteristics of the rubber.

Description

Method for establishing constitutive model by identifying rubber viscoelastic parameters through finite element software
Technical Field
The invention relates to a method for identifying rubber viscoelastic parameters and establishing a constitutive model by using finite element software, in particular to a method for identifying rubber viscoelastic parameters and establishing a constitutive model by using finite element software to calculate the dynamic characteristics of rubber, belonging to the field of solid dynamics calculation.
Background
The rubber has good vibration absorption, vibration reduction and sealing performance, and is widely applied to vibration isolation structures of machines in industries such as automobiles, aviation, precision instruments and the like, for example: vibration isolation sheets of the engine, oil tank sealing rings and the like. The rubber has complex mechanical properties, on one hand, the rubber embodies super elasticity, has very large strain capacity (the ratio of stress to strain is very small), the stress-strain relation of the material is expressed by a strain energy density function, and the material is approximately incompressible; on one hand, the material shows viscoelasticity, and under the action of cyclic force, the response of the material shows rate dependence, and the stress strain has hysteresis effect. Different rubber products with different properties can be produced by different component proportions, and the reflected physical properties are greatly different. Therefore, before the rubber product is really applied to equipment, the rubber is reasonably selected, finite element kinetic analysis is carried out on the rubber, the mechanical property of the rubber is accurately predicted, and the product precision and even the product service life are determined.
The accurate establishment of the rubber constitutive model is the basis for the analysis of rubber dynamic characteristics, and the established constitutive model determines whether the rubber finite element simulation can comprehensively represent the rubber dynamic characteristics. In the previous research, the mechanical property of rubber can not be accurately and comprehensively expressed by only using a superelastic model, when the superelastic and viscoelastic constitutive model is used, the viscoelastic parameters have ambiguous meanings, the identification method is complex and multiple theoretical deductions are applied, and the experimental conditions are limited to static and quasi-static tests such as unidirectional tension, compression, plane shearing and the like. This results in an incomplete analysis of the rubber dynamics, and the predicted rubber dynamics are not realistic, leading to unnecessary losses.
Disclosure of Invention
Aiming at the problems, the invention provides a method for identifying rubber viscoelastic parameters by using finite element software to establish a constitutive model for calculating rubber dynamic characteristics. A new method is provided for identifying parameters of the rubber viscoelastic model, so that the dynamic characteristic analysis of rubber is more comprehensive.
The invention adopts the technical scheme that a method for identifying rubber viscoelastic parameters by using finite element software and establishing a constitutive model to calculate the dynamic characteristics of rubber comprises the following steps:
1) A rubber sample physical model is established in finite element software.
2) The method comprises the steps of establishing a rubber superelasticity and viscoelastic constitutive model, wherein the superelasticity model is represented by using a Mooney-Rivlin two-parameter model, the viscoelastic model is represented by using a generalized Maxwell model, and the generalized Maxwell model is represented as a three-dimensional rheological model in Ansys and is shown as a formula 1:
Figure BDA0001844349980000021
in the formula: σ is Coxist stress, pa; g (t) is a shear relaxation kernel function; k (t) is a volume relaxation kernel function; e is the shear strain offset; Δ is the bulk strain; t is the current time, s; τ is the process time, s. Wherein:
Figure BDA0001844349980000022
Figure BDA0001844349980000023
in the formula: g 0 And K 0 Shear and bulk relaxation moduli at 0 time, pa, respectively; n is G 、n K The number of terms is the PRONY grade number;
Figure BDA0001844349980000031
is the relative modulus;
Figure BDA0001844349980000032
is the relaxation time, s. Wherein
Figure BDA0001844349980000033
Also known as shear response coefficient;
Figure BDA0001844349980000034
also known as the volume response coefficient.
3) Extracting experimental data of the change of the relaxation modulus of the rubber sample with time
Preparing a rubber sample with the same components as the rubber to be researched according to Dynamic thermal mechanical analysis of DMA (Dynamic thermal mechanical analysis) to be applied, and setting the experimental conditions according to the actual working conditions, wherein the experimental conditions comprise: experiment temperature, experiment frequency sweep range, strain amplitude, etc. And selecting a DMA temperature/frequency scanning experiment to obtain the change curve of the loss modulus and the storage modulus of the rubber along with time, and obtaining the change curve of the relaxation modulus data of the rubber along with time through DMA tester software, wherein the curve fully reflects the viscoelastic property of the rubber under the conditions of frequency and temperature change.
4) Viscoelastic parameter identification in finite element software
Inputting the extracted data of the change of the relaxation modulus of the rubber along with time into prony current fitting of ANSYS, adjusting coeff value initial parameters to be 0,1, and fitting to obtain relative modulus and relaxation time, namely viscoelastic parameters in formulas 2 and 3.
5) Based on finite element ANSYS software, carrying out grid division on simulation projects, establishing boundary conditions, setting solver parameters, and carrying out dynamic characteristic analysis.
The method adopts a mode of combining experiments and software to identify the parameters of the rubber viscoelastic model, compared with the prior method, the method is simple, the result is accurate and reliable, and the deviation of the result obtained by simulation analysis by the method is less than 3 percent. The method has positive significance for identifying the viscoelastic parameters of the rubber and analyzing the dynamic characteristics of the rubber.
Drawings
FIG. 1 is a flow chart of a method according to the present invention.
Fig. 2 is a flow chart of experimental data combined with ANSYS to identify viscoelastic parameters of rubber.
FIG. 3 is a flow chart for obtaining data on the change of the relaxation modulus of rubber with time.
Fig. 4 is a flow chart of ANSYS fitting experimental data to obtain viscoelastic parameters.
Fig. 5 shows viscoelastic parameters of rubber obtained by ANSYS fitting according to an example of application of the present invention.
FIG. 6 is an example of a rubber test specimen and a simulation setup used in an example of the present invention.
FIG. 7 is C 01 /C 10 Curve of the relation with the shore hardness;
Detailed Description
Specific embodiments are given below with reference to the accompanying drawings.
The method is completed by a DMA tester and ANSYS software.
The flow chart of the method of the invention is shown in fig. 1, and specifically comprises the following steps:
the method comprises the following steps: and (4) establishing a physical model of the rubber sample by using ANSYS, wherein the specification is designed according to the specification of the sample used in the experiment.
Step two: and establishing a rubber superelasticity and viscoelastic constitutive model.
Step three: the experimental data was combined with ANSYS for viscoelastic parameter identification, the method is shown in fig. 2.
Step four: inputting constitutive model parameters, wherein the superelastic model parameters are obtained according to the relation of fig. 7, filling the viscoelastic model according to the three results, carrying out grid division, setting boundary conditions (as shown in fig. 6), setting solving conditions, and carrying out calculation on the dynamic characteristics of the rubber.
The method for identifying viscoelastic parameters by combining experimental data with ANSYS is shown in FIG. 2:
the method comprises the following steps: acquiring the change data of the relaxation modulus of the rubber along with time, wherein the method is shown in figure 3;
step two: ANSYS fitting experimental data to obtain viscoelastic parameters, the method is shown in fig. 4;
the change data of the rubber relaxation modulus along with the time is obtained, and the method is shown in figure 3:
the method comprises the following steps: formulating a rubber sample according to the model of the selected DMA experimental instrument
Step two: the range of experimental conditions, including temperature, frequency, strain amplitude, is selected according to the actual working environment in which the rubber is used.
Step three: and selecting a DMA temperature frequency scanning experiment to obtain the rubber loss modulus, the storage modulus and the loss factor.
Step four: and selecting a proper reference temperature, and obtaining the change data of the relaxation modulus of the rubber along with time through DMA analysis software.
ANSYS fitting the experimental data to obtain viscoelastic parameters, the method is shown in figure 4:
the method comprises the following steps: storing the extracted rubber relaxation modulus data into a notebook according to rules, wherein the naming should be performed by English;
step two: entering an ANSYS PRONY CURVE FITTING module, importing named data, adjusting initial parameters, and FITTING data;
step three: checking the fitting result, and adjusting the initial parameters again until the error of the fitting data and the experimental data is in an allowable range;
step four: and storing and applying to obtain the viscoelastic parameters of the rubber.
An example of the calculation of the dynamics of a rubber structure using the present invention is given below.
Fig. 5 gives the experimental relaxation data versus the fitted relaxation data by ANSYS fitting.
Fig. 6 shows an example of a dynamic simulation of a rubber sample according to experimental conditions.
TABLE 1 list of viscoelastic parameters
Figure BDA0001844349980000051
Figure BDA0001844349980000061
TABLE 2 comparison of Experimental data with simulation data
Figure BDA0001844349980000062
Note: HS represents the hardness of the rubber
The viscoelastic parameters of the relaxation modulus data of the rubber obtained by ansys fitting analysis are shown in table 1, and the fitting accuracy can be obtained by combining with fig. 5. The dynamic characteristic analysis is carried out by taking the group of parameters as the viscoelastic parameters of the rubber, and the loss factor of the rubber obtained by analysis and the loss factor obtained by experiment are within 3 percent, as shown in table 2. The process of the present invention is therefore significantly superior to the previous processes.

Claims (4)

1. A method for identifying rubber viscoelastic parameters and establishing a constitutive model by using finite element software is characterized by comprising the following steps: the method specifically comprises the following steps:
the method comprises the following steps: establishing a physical model of the rubber sample by using ANSYS, wherein the specification is designed according to the specification of the sample used in the experiment;
step two: establishing a rubber superelasticity and viscoelasticity constitutive model;
step three: identifying viscoelastic parameters by combining experimental data with ANSYS;
step four: inputting parameters of a constitutive model, filling the viscoelastic model according to the results of the third step, carrying out grid division, setting boundary conditions, setting solving conditions, and carrying out calculation on the dynamic characteristics of the rubber;
the method comprises the following steps of,
1) Establishing a rubber sample physical model in finite element software;
2) Establishing a rubber superelastic and viscoelastic constitutive model, wherein the superelastic model is represented by using a Mooney-Rivlin two-parameter model, the viscoelastic model is characterized by using a generalized Maxwell model, and the generalized Maxwell model is represented as a three-dimensional rheological model in Ansys and is shown as a formula (1):
Figure FDA0003876702960000011
in the formula: σ is Coxist stress, pa; g (t) is a shear relaxation kernel function; k (t) is a volume relaxation kernel function; e is the shear strain offset; Δ is the bulk strain; t is the current time, s; τ is process time, s; wherein:
Figure FDA0003876702960000012
Figure FDA0003876702960000013
in the formula: g 0 And K 0 Shear and bulk relaxation moduli at 0 time, pa, respectively; n is G 、n K The number of terms is the PRONY grade number;
Figure FDA0003876702960000021
is the relative modulus;
Figure FDA0003876702960000022
is the relaxation time, s; wherein
Figure FDA0003876702960000023
Also known as shear response coefficient;
Figure FDA0003876702960000024
is also known as the volume response coefficient;
3) Extracting experimental data of the change of the relaxation modulus of the rubber sample along with time;
preparing a rubber sample with the same components as the rubber to be researched according to the DMA dynamic thermo-mechanical analysis to be applied, and setting the experimental conditions by combining the actual working conditions, wherein the experimental conditions comprise the following steps: experiment temperature, experiment frequency scanning range and strain amplitude; selecting a DMA temperature/frequency scanning experiment to obtain a change curve of the loss modulus and the storage modulus of the rubber along with time, and obtaining a change curve of the relaxation modulus data of the rubber along with time through DMA tester software, wherein the curve fully embodies the viscoelastic characteristics of the rubber under the conditions of frequency and temperature change;
4) Identifying viscoelastic parameters in finite element software;
inputting the extracted data of the change of the relaxation modulus of the rubber along with time into prony current fitting of ANSYS, adjusting coeffvalue initial parameters to be 0,1, and fitting to obtain relative modulus and relaxation time, namely viscoelastic parameters in formulas (2) and (3);
5) Based on finite element ANSYS software, carrying out grid division on simulation projects, establishing boundary conditions, setting solver parameters, and carrying out dynamic characteristic analysis.
2. The method for establishing the constitutive model by using the finite element software to identify the viscoelastic parameters of the rubber according to claim 1, wherein the method comprises the following steps: the method for identifying viscoelastic parameters by combining experimental data with ANSYS comprises the following steps: acquiring change data of rubber relaxation modulus along with time;
step two: and (5) obtaining viscoelastic parameters by fitting experimental data through ANSYS.
3. The method for establishing the constitutive model by using the finite element software to identify the viscoelastic parameters of the rubber according to claim 1, wherein the method comprises the following steps: obtaining the change data of the rubber relaxation modulus along with time:
the method comprises the following steps: formulating a rubber sample according to the model of the selected DMA experimental instrument
Step two: selecting experimental condition ranges including temperature, frequency and strain amplitude according to the actual working environment of the rubber;
step three: selecting a DMA temperature frequency scanning experiment to obtain rubber loss modulus, storage modulus and loss factor;
step four: and selecting a proper reference temperature, and obtaining the change data of the relaxation modulus of the rubber along with time through DMA analysis software.
4. The method for establishing the constitutive model by using the finite element software to identify the viscoelastic parameters of the rubber as claimed in claim 1, wherein the method comprises the following steps: ANSYS fitting experimental data to obtain viscoelastic parameters,
the method comprises the following steps: storing the extracted rubber relaxation modulus data into a notebook according to rules, wherein the naming should be performed by English;
step two: entering an ANSYS PRONY CURVE FITTING module, importing named data, adjusting initial parameters, and FITTING the data;
step three: checking the fitting result, and adjusting the initial parameters again until the error of the fitting data and the experimental data is in an allowable range;
step four: and storing and applying to obtain the viscoelastic parameters of the rubber.
CN201811263229.9A 2018-10-28 2018-10-28 Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model Active CN109408969B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811263229.9A CN109408969B (en) 2018-10-28 2018-10-28 Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811263229.9A CN109408969B (en) 2018-10-28 2018-10-28 Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model

Publications (2)

Publication Number Publication Date
CN109408969A CN109408969A (en) 2019-03-01
CN109408969B true CN109408969B (en) 2022-12-23

Family

ID=65469281

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811263229.9A Active CN109408969B (en) 2018-10-28 2018-10-28 Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model

Country Status (1)

Country Link
CN (1) CN109408969B (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110008552B (en) * 2019-03-26 2023-06-02 北京工业大学 Reed type space expandable structure rapid modeling analysis and optimization method considering material viscoelasticity
CN110006644B (en) * 2019-04-20 2021-05-25 北京工业大学 Method for judging rubber viscoelasticity influence degree of steel-rubber roller structure under dynamic rotation working condition
CN110472307B (en) * 2019-07-29 2023-06-27 惠州市德赛西威汽车电子股份有限公司 Optical cement stripping simulation method for display system
CN111951970A (en) * 2020-08-07 2020-11-17 山东大学 Dentin material biological tissue mechanical property calibration method, system and device
CN112182928B (en) * 2020-09-17 2023-04-07 中国海洋大学 Software system for mechanical property analysis and optimization design of rubber products
CN112199823B (en) * 2020-09-17 2023-04-07 中国海洋大学 Numerical prediction method for stress relaxation and damage effects of rubber material
CN112199873A (en) * 2020-10-09 2021-01-08 青岛科技大学 Rubber dynamic heat generation calculation method and device
CN113239476B (en) * 2021-04-01 2022-07-19 中国第一汽车股份有限公司 Rubber bushing constitutive parameter reverse calibration method based on binomial Mooney-Rivlin model
CN113553706B (en) * 2021-07-21 2024-01-19 青岛博锐智远减振科技有限公司 Method for judging inflection point of conical rubber spring adhesion experiment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102184332A (en) * 2011-05-17 2011-09-14 中国船舶重工集团公司第七二五研究所 Method for expanding dynamic mechanical test data of viscous-elastic material out of test frequency
CN105069241A (en) * 2015-08-19 2015-11-18 山东大学 Step-by-step analysis and prediction method for dynamic performances of rubber material structure
CN106202683A (en) * 2016-07-04 2016-12-07 南京理工大学 A kind of elastomeric material considering correlation effect glues the modeling method of superlastic constitutive model
JP2017224098A (en) * 2016-06-14 2017-12-21 株式会社ブリヂストン Simulation method and simulation program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102184332A (en) * 2011-05-17 2011-09-14 中国船舶重工集团公司第七二五研究所 Method for expanding dynamic mechanical test data of viscous-elastic material out of test frequency
CN105069241A (en) * 2015-08-19 2015-11-18 山东大学 Step-by-step analysis and prediction method for dynamic performances of rubber material structure
JP2017224098A (en) * 2016-06-14 2017-12-21 株式会社ブリヂストン Simulation method and simulation program
CN106202683A (en) * 2016-07-04 2016-12-07 南京理工大学 A kind of elastomeric material considering correlation effect glues the modeling method of superlastic constitutive model

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Abaqus中橡胶粘弹性能参数识别;张银喜等;《特种橡胶制品》;20171215(第06期);第44-47页 *
有限变形下橡胶材料非线性高弹-粘弹性本构模型;于海富 等;《橡胶工业》;20171130;第645-649页 *

Also Published As

Publication number Publication date
CN109408969A (en) 2019-03-01

Similar Documents

Publication Publication Date Title
CN109408969B (en) Method for identifying viscoelastic parameters of rubber by using finite element software to establish constitutive model
CN107633120B (en) A kind of construction method of fibre reinforced composites dynamic shearing constitutive model
CN103886125B (en) A kind of titanium alloy hot combined shaping method for numerical simulation
CN104316388A (en) A fatigue lifetime measuring method for anisotropic material structural parts
CN103745114B (en) Method for computing stress relaxation numerical values and resilience of titanium alloy
CN109470553B (en) Method for realizing rapid conversion of material parameters of asphalt mixture by applying Laplace transformation
CN106021928A (en) Comprehensive stress acceleration test method
Herz et al. Numerical simulation of plasticity induced fatigue crack opening and closure for autofrettaged intersecting holes
CN111060396A (en) Material mechanical property calibration method based on Ls-Dyna No. 187 material card
CN103884606A (en) Method for testing precision and stability of parameters of vehicle vibration-damping rubber static nonlinear material
CN104568602A (en) Method for predicating lasting and instantaneous limit mechanical performances of polymer
CN106354955A (en) Sliding bearing rigidity recognition method based on mill vibration mode parameters
CN103163021A (en) Damage model parameter calibration method facing resultant stress three-axis degree range
Kolasangiani et al. Ratcheting progress at notch root of 1045 steel samples over asymmetric loading cycles: Experiments and analyses
Dalrymple et al. Elastomer rate-dependence: A testing and material modeling methodology
EP2244199A3 (en) Methods and systems for enabling simulation of aging effect of a chrono-rheological material in computer aided engineering analysis
Evans et al. Numerical modelling of small disc creep test
CN105424554A (en) Method for determining fatigue damage degree of metal material based on specific gravity measurement
Pan et al. A new multiaxial fatigue life prediction method based on grey theory under small sample condition
Zhai et al. Mechanical properties of pentaerythritol tetranitrate (PETN) single crystals from nano‐indentation: Depth dependent response at the nano meter scale
CN105910921A (en) Method for predicating creep curve of DZ125 alloy
CN103399974B (en) Quantize the method comparing random vibration emulated data and experimental data
CN108536918B (en) Method and device for determining storage life of resin type adhesive, and electronic device
Matache et al. Determination of a methodology for formulating constituent models of high entropy alloys
CN114065576B (en) Notch effect evaluation method of notch part under creep fatigue load

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant