JP4299735B2 - Method for predicting and designing elastic response performance of rubber products - Google Patents
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本発明は有限要素解析法(FEA)を用いてゴム製品の弾性応答性能を予測する方法、及び該予測方法を用いたゴム製品の設計方法に関する。 The present invention relates to a method for predicting the elastic response performance of a rubber product using a finite element analysis method (FEA), and a method for designing a rubber product using the prediction method.
ゴム製品を設計するに際して、三次元有限要素解析法(FEA)を利用してその弾性的な応答性能を予測し、その解析ないしシミュレーション結果を応用する手法は、既に数十年に亙る実例がある(例えば、特許文献1〜3参照)。このFEA計算に用いられるゴム材料の応力−歪の関係を解析に反映させるエネルギーの構成方程式としては、初期の線形弾性方程式からMooney−Rivlin方程式へと移行し、今日では大変形領域での非線形構成方程式の導入が盛んに行われている。 In designing rubber products, there are already several decades of examples of predicting elastic response performance using 3D finite element analysis (FEA) and applying the analysis or simulation results. (For example, see Patent Documents 1 to 3). The energy constitutive equation that reflects the stress-strain relationship of the rubber material used in the FEA calculation is changed from the initial linear elastic equation to the Mooney-Rivlin equation. The introduction of equations is actively performed.
しかしながら、これらのゴム材料の構成方程式はゴム分子鎖の伸張に基く分子統計熱力学より発展したエントロピー弾性に着眼した網目変形理論を基礎としているのが、タイヤを初め多くの産業用ゴム製品の材料設計において重要な因子である低温領域又は高速変形領域(温度時間換算則適用)でのゴム弾性応答挙動をエンタルピー弾性に着眼した物理的意味をもったパラメータを用いて表すことのできる構成方程式は存在しない。これにより、ゴムのミクロレベルで充填材とゴムの三次元モデルをFEM等の計算に応用を考える際に、特にゴム部の温度依存性と歪依存性を表す構成方程式がなく、実際の工業用ゴム材料の設計で重要な低温又は高速変形での変形を考慮したミクロレベルでのシミュレーションが出来ない状況にある。 However, the constitutive equations of these rubber materials are based on the network deformation theory based on entropy elasticity developed from molecular statistical thermodynamics based on the elongation of rubber molecular chains. There is a constitutive equation that can express the elastic response behavior of rubber in the low temperature region or high-speed deformation region (applying the temperature-time conversion rule), which is an important factor in design, using parameters with physical meaning focused on enthalpy elasticity do not do. As a result, there is no constitutive equation that expresses the temperature dependence and strain dependence of the rubber part when considering the application of the three-dimensional model of the filler and rubber to the FEM calculation at the micro level of rubber. It is in a situation where simulation at a micro level considering deformation at low temperature or high speed deformation which is important in the design of rubber materials cannot be performed.
ゴムの変形による歪エネルギー(W)は、三次元軸上におけるxyz方向の変形を表すλ1、λ2、λ3、という3つの伸張比の関数として表現される(図7照)。この様な考え方は、3次元的な広がりを持つ物体の変形を記述する際の基礎となる。更に、下記式(1)〜(3)に示す様に、λ1、λ2、λ3の変形を歪エネルギーとして表す場合に、Greenテンソルの歪不変量I1、I2、I3を用いることで複雑且つ様々な3次元変形を簡単な歪エネルギー関数で表現することができる。 The strain energy (W) due to the deformation of the rubber is expressed as a function of three stretching ratios λ 1 , λ 2 , and λ 3 representing the deformation in the xyz direction on the three-dimensional axis (see FIG. 7). Such an idea is the basis for describing the deformation of a three-dimensional object. Furthermore, when the deformations of λ 1 , λ 2 , and λ 3 are expressed as strain energy as shown in the following formulas (1) to (3), the strain invariants I 1 , I 2 , and I 3 of the Green tensor are used. Thus, complicated and various three-dimensional deformations can be expressed by a simple strain energy function.
Rivlin等によって、各変形モードにおける応力−歪の関係は、歪エネルギー(W)を用いて下記に示す式(4)〜(6)の様に求められている。 According to Rivlin et al., The stress-strain relationship in each deformation mode is obtained as shown in the following equations (4) to (6) using strain energy (W).
ここで、σはエンジニアリング応力、τはせん断応力を表す。この式(4)〜(6)の関係式からI1とI2の関数で表される歪エネルギー関数(W)の方程式が得られれば、各変形モードにおける応力−歪の関係及びせん断弾性率(G)が求まる。従来、ゴム製品のFEA計算に用いられてきた歪エネルギー関数(W)の多くは、下記式(7)に示す一般化形式のMooney−Rivlin式を用いている。 Here, σ represents engineering stress and τ represents shear stress. If the equation of the strain energy function (W) represented by the functions of I 1 and I 2 is obtained from the relational expressions of the equations (4) to (6), the stress-strain relationship and the shear modulus in each deformation mode. (G) is obtained. Conventionally, many of the strain energy functions (W) that have been used for the FEA calculation of rubber products use the generalized form of the Mooney-Rivlin equation shown in the following equation (7).
ゴム材料に対して非圧縮性を仮定するとI3=1となるので、上式(7)はI1とI2の関数として下記に示す式(8)の様になる。 Assuming that the rubber material is incompressible, I 3 = 1. Therefore, the above equation (7) is expressed by the following equation (8) as a function of I 1 and I 2 .
この式(8)のベキ指数項をいくつまで取り入れて式を構成するかによって様々な歪エネルギー関数が提案されている。例えば、1次項のみを取り入れた場合は下記式(9)で表せる。 Various strain energy functions have been proposed depending on how many power exponent terms of the equation (8) are incorporated to construct the equation. For example, when only the primary term is taken, it can be expressed by the following formula (9).
この式(9)は、分子統計熱力学を基にした網目理論から導かれる歪エネルギー関数と一致し、この場合はC1,0=(1/2)ρRT/MCとなる。ここで、ρはゴムの密度、Rは気体定数、Tは絶対温度、MCは架橋点間分子量を表す。 This equation (9) agrees with the strain energy function derived from the network theory based on molecular statistical thermodynamics, and in this case, C 1,0 = (1/2) ρRT / M C. Here, ρ represents the density of rubber, R represents a gas constant, T represents an absolute temperature, and M C represents a molecular weight between crosslinking points.
更に、2次項までの近似の場合は下記式(10)となる。 Further, in the case of approximation up to the second order term, the following equation (10) is obtained.
この式(10)は前記式(4)に代入することで、一般に広く用いられているMooney−Rivlin式を与える。この場合、Mooney−Rivlin式の係数C1、C2との関係はC1,0=C1、C0,1=C2となる。 This formula (10) is substituted into the formula (4) to give a commonly used Mooney-Rivlin formula. In this case, the relationship between the coefficients C 1 and C 2 of the Mooney-Rivlin equation is C 1,0 = C 1 and C 0,1 = C 2 .
さらに、汎用的には実験結果に基づいた歪-応力曲線を、I1のみの関数として小変形から大変形まで計算可能な構成方程式として次式が用いられている。
S=C1,0/2+2*C2,0(I1−3)+3*C3,0(I1−3)2
(Yeoh,O.H.Rubber Chemi.Tech.66 754-771(1993)
ここで、C1,0、C2,0、C3,0は、配合による固有の係数である。
Furthermore, for general purposes, the following equation is used as a constitutive equation capable of calculating a strain-stress curve based on experimental results from a small deformation to a large deformation as a function of only I 1 .
S = C 1,0 / 2 + 2 * C 2,0 (I 1 -3) + 3 * C 3,0 (I 1 -3) 2
(Yeoh, OHRubber Chemi. Tech. 66 754-771 (1993)
Here, C 1,0 , C 2,0 , and C 3,0 are specific coefficients depending on the composition .
更に、高い次数の項を導入することで、実験的に得られる応力−歪曲線をより正確に表すことができる様になる。 Furthermore, by introducing a high-order term, an experimentally obtained stress-strain curve can be expressed more accurately.
一方、圧縮性を考慮する場合は、I3は1に等しくないので、静水圧による弾性応答による歪エネルギーの変化分を歪エネルギーに追加して用いる場合もある。
しかしながら、これらのゴム材料構成方程式はゴムの分子鎖の伸張に基づく分子統計熱力学より発展したエントロピー弾性のもとづく網目変形理論を基礎としているが、タイヤをはじめとする多くの工業用ゴム材料の設計で重要な因子である温度依存性や速度依存性を考慮して弾性応答を表すことのできる構成方程式は存在していない。このことから、ゴムのミクロレベルで充填材とゴムの三次元モデルをFEM等の計算に応用を考える際に、特にゴム部の温度依存性と歪依存性を表す構成方程式がなく、実際の工業用ゴム材料の設計で重要な温度ならびに歪を考慮したミクロレベルでのシミュレーションができない状況にある。この原因としては、低温や高速変形時にはエンタルピー弾性による影響がゴムの変形にあらわれるので、この効果を導入した構成方程式を求めることにより以上の問題は解決できると考えた。 However, these rubber material constitutive equations are based on the network deformation theory based on entropic elasticity developed from molecular statistical thermodynamics based on the elongation of the molecular chain of rubber, but the design of many industrial rubber materials including tires. There is no constitutive equation that can express the elastic response in consideration of temperature dependency and velocity dependency which are important factors. Therefore, there is no constitutive equation that expresses the temperature dependence and strain dependence of the rubber part when considering the application of the filler and rubber three-dimensional model to the FEM calculation at the micro level of rubber. The simulation at the micro level considering the temperature and strain that are important in the design of rubber materials for automobiles is not possible. As the cause, since the influence of enthalpy elasticity appears in the deformation of rubber at low temperature and high speed deformation, we thought that the above problem can be solved by obtaining a constitutive equation incorporating this effect.
本発明は、上述の状況に鑑み成されたもので、有限要素解析法(FEA)を用いてゴム製品の弾性応答性能を、歪及び温度の広汎な領域に亙って精度よく予測する弾性応答性能予測方法及び該予測方法を用いたゴム製品の設計方法を提供することを目的とする。 The present invention has been made in view of the above situation, and uses an finite element analysis method (FEA) to accurately predict the elastic response performance of a rubber product over a wide range of strain and temperature. It is an object of the present invention to provide a performance prediction method and a rubber product design method using the prediction method.
上記の課題を解決する為の請求項1に係わる本発明の弾性応答性能の予測方法は、有限要素解析法(FEA)を用いてゴム製品の変形ならびに破壊挙動を予測する弾性応答性能予測方法において、上記ゴム製品を構成するゴム材料、ゴム材料を充填材部とゴム部が分離して観察可能なミクロレベルで、特に、ゴム部の弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式を用いて該ゴム製品の弾性応答性能を予測することを特徴とする。 The elastic response performance prediction method of the present invention according to claim 1 for solving the above-described problem is an elastic response performance prediction method for predicting deformation and fracture behavior of a rubber product using a finite element analysis method (FEA). , The rubber material constituting the rubber product, the micro level at which the filler part and the rubber part can be observed separately, especially the constitutive equation representing the temperature and strain dependence of the elastic modulus of the rubber part and the strain energy The elastic response performance of the rubber product is predicted using a constitutive equation representing the temperature and strain dependence of the rubber product.
本発明のゴム製品の弾性応答性能予測方法は、上述の様に、充填系ゴムをミクロレベルで観察する際のゴム部の大変形領域(通常、歪が100〜400%)を含む広汎な変形領域において、弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式を用いて、ゴム製品の弾性応答性能を有限要素解析法(FEA)により予測するので、特に実用上で重要な充填系のゴム材料からなるゴム複合製品について、多くの産業用ゴム製品の設計で重要である温度及び歪依存性を物理的な意味を有する因子を持って、かつ、ミクロレベルでのゴム部の弾性応答性能を精度よく予測することができる。 As described above, the elastic response performance prediction method of the rubber product according to the present invention includes a wide deformation region including a large deformation region (usually strain is 100 to 400%) of the rubber portion when the filled rubber is observed at a micro level. In the region, the elastic response performance of rubber products is predicted by the finite element analysis method (FEA) using the constitutive equation representing the temperature and strain dependence of the elastic modulus and the constitutive equation representing the temperature and strain dependence of the strain energy. In particular, with regard to rubber composite products made of rubber materials of the filling system that are important in practical use, there are factors that have physical meaning of temperature and strain dependence, which are important in the design of many industrial rubber products, and The elastic response performance of the rubber part at the micro level can be accurately predicted.
本特許出願における構成方程式は、ゴム部の歪エネルギーを表す方程式であり、ゴム部の変形時の歪エネルギー分布や応力集中の分布を予測することでミクロレベルでの発熱や破壊現象の予測が可能となる。 The constitutive equation in this patent application is an equation that represents the strain energy of the rubber part. By predicting the strain energy distribution and stress concentration distribution during deformation of the rubber part, it is possible to predict heat generation and fracture phenomena at the micro level. It becomes.
請求項2に係わる本発明の弾性応答性能の予測方法は、上記弾性率ならびに歪エネルギーの温度及び歪依存性を表す構成方程式が、非線形方程式であることを特徴とする。
The elastic response performance prediction method of the present invention according to
一般に、充填系ゴム材料においては、0.1〜100%程度の歪領域において、充填剤のネットワークの配列変化により貯蔵弾性率やtanδといった弾性特性に非線形性が現われるので、従来の有限要素法を用いるゴム製品の弾性応答性能の予測は、マクロ的に観察したレベルでの予測は可能であったが、ミクロレベルで見た場合の充填材部とゴム部を分離して弾性応答を予測することは出来なかった。 Generally, in a filled rubber material, in a strain region of about 0.1 to 100%, nonlinearity appears in elastic properties such as storage elastic modulus and tan δ due to the change in the arrangement of the filler network. The elastic response performance of the rubber product used could be predicted at a macro level, but the elastic response should be predicted by separating the filler and rubber parts at the micro level. I couldn't.
本発明では、弾性率ならびに歪エネルギーの温度及び歪依存性を表す構成方程式として、非線形方程式を用いているので、充填材を添加し且つ発熱や破壊が生じる場合においても、ゴム部において、発熱や破壊が生じると考えられるので、弾性特性に非線形性が与えられ、歪及び温度の広汎な領域において、ゴム製品の弾性応答性能をミクロレベルで充填材部とゴム部を分離して精度よく予測することができる。 In the present invention, since a nonlinear equation is used as a constitutive equation representing the temperature dependence and strain dependence of elastic modulus and strain energy, even when a filler is added and heat generation or breakage occurs, Since it is considered that fracture will occur, nonlinearity is given to the elastic characteristics, and in a wide range of strain and temperature, the elastic response performance of rubber products is accurately predicted by separating the filler part and the rubber part at a micro level be able to.
以下に、本発明の上記弾性率ならびに歪エネルギーの温度及び歪依存性を表す非線形構成方程式について更に詳細に説明する。 Hereinafter, the nonlinear constitutive equation representing temperature and strain dependence of the elastic modulus and strain energy of the present invention will be described in more detail.
一般に、ゴム材料の弾性率(G)は統計熱力学を用いて次の様に表すことができる。 In general, the elastic modulus (G) of a rubber material can be expressed as follows using statistical thermodynamics.
即ち、弾性率(G)はヘルムホルツの自由エネルギー(A)を前記式(1)のGreenテンソルの歪不変量I1で微分することにより算出される。 That is, the elastic modulus (G) is calculated by differentiating the Helmholtz free energy (A) by the strain invariant I 1 of the Green tensor of the above equation (1).
また、熱力学的に平衡状態にある系の平均エネルギー(U)は、下記式(12)で表すことができる。 Moreover, the average energy (U) of the system in a thermodynamic equilibrium state can be expressed by the following formula (12).
ここで、βは1/(kΔT)に等しく、kはボルツマン定数、ΔTはゴム高分子のガラス転移温度(Tg)から測定温度までの差分を表す。また、Aαはエネルギー準位を表し、Zは系のエネルギーを規格化する配分関数で、下記式(13)で表すことができる。 Here, β is equal to 1 / (kΔT), k is a Boltzmann constant, and ΔT represents a difference from the glass transition temperature (Tg) of the rubber polymer to the measurement temperature. Aα represents the energy level, and Z is a distribution function that normalizes the energy of the system, and can be represented by the following formula (13).
ここで、Uαは統計熱力学の考え方からハミルトニアン(H)に等しいと仮定することができる。即ち、 Here, it can be assumed that Uα is equal to Hamiltonian (H) from the viewpoint of statistical thermodynamics. That is,
また、上記ハミルトニアン(H)は統計熱力学におけるマイクロステーツを規定する温度条件及び制約条件の関数として表すことができる。 The Hamiltonian (H) can be expressed as a function of temperature conditions and constraints that define microstates in statistical thermodynamics.
本発明においては、ゴム分子の温度依存性を表すモデルとして、低温及び高温の2つの状態(r1とr2)を設定し、各状態におけるゴム分子の状態数をI1a及びI1bという歪エネルギー場において分配することにより、全ての状態を下記式(15)の関数で表す。 In the present invention, two states (r 1 and r 2 ) of low temperature and high temperature are set as models representing the temperature dependence of rubber molecules, and the number of states of the rubber molecules in each state is the distortions I 1a and I 1b. By distributing in the energy field, all states are expressed by the function of the following formula (15).
上式(15)において、κはゴム分子の反発エネルギーを表す。 In the above formula (15), κ represents the repulsive energy of the rubber molecule.
更に、ゴム分子のエネルギー状態の異なる2つの状態はr1=−1、r2=1で表されるので、統計熱力学平均<r1・r2>として表すと、この積が+1となる場合はゴム分子が同一状態にあり、−1となる場合はゴム分子が異なる状態にある、という2つの両極端なエネルギー状態を表す。ここで、歪エネルギー場は全ての分子に同じだけ寄与すると考えられるので、I1=I1a=I1bとおくことで、上記式(15)は下記式(16)の様に簡略に表すことができる。 Furthermore, since two states having different energy states of rubber molecules are represented by r 1 = −1 and r 2 = 1, when expressed as a statistical thermodynamic average <r 1 · r 2 >, this product is +1. In this case, two extreme energy states are shown, in which the rubber molecules are in the same state, and in the case of -1, the rubber molecules are in different states. Here, it is considered that the strain energy field contributes to all molecules by the same amount. Therefore, by setting I 1 = I 1a = I 1b , the above equation (15) can be simply expressed as the following equation (16). Can do.
前記式(11)と上記式(16)より、本発明の弾性率の温度及び歪依存性を表す非線形構成方程式は、下記の様に表すことができる。 From the equation (11) and the equation (16), the nonlinear constitutive equation representing the temperature and strain dependence of the elastic modulus of the present invention can be expressed as follows.
ここで、N1とN2は弾性率に係わる係数を表し、前記式(I)のP及びQに相当する。 Here, N 1 and N 2 represent coefficients related to the elastic modulus, and correspond to P and Q in the above formula (I).
ところで、ヘルムホルツの自由エネルギーは次式のように表される。 By the way, the free energy of Helmholtz is expressed as follows.
上記ヘルムホルツの自由エネルギーの式にZを代入すると、ゴムの弾性形を表す歪エネルギーは次のように表すことができる。なお、Pはミクロ状態の数を表す補正係数である。 Substituting Z into the Helmholtz free energy equation, the strain energy representing the elastic form of rubber can be expressed as follows. P is a correction coefficient representing the number of micro states.
このように、歪エネルギーの温度及び歪依存性を表す構成方程式が数式(II)と表すことができる。 Thus, the constitutive equation representing the temperature and strain dependence of strain energy can be expressed as Formula (II).
なお、エントロピー変化Sを表す数式(III)は、一般化MOONEY-RIVLIN式とよばれるもので、一般的式である(“The Physics of Rubber Elasticity" by L.R.G.Treloar, Oxford Press(1958)参照)。 The formula (III) representing the entropy change S is called a generalized MOONEY-RIVLIN formula, and is a general formula (see “The Physics of Rubber Elasticity” by L.R.G. Treloar, Oxford Press (1958)).
そして、エントロピー変化Sは、数式(III)において、j=k=O,i=mとして単純化すると、数式(IV)になる。 When the entropy change S is simplified as j = k = O, i = m in equation (III), equation (IV) is obtained.
また、エントロピー変化Sを、次式で表すようにしてもよい。
S=C1,0/2+2*C2,0(I1−3)+3*C3,0(I1−3)2
ここで、C1,0、C2,0、C3,0は、配合による固有の係数である。実験結果の歪エネルギー変化のカーブフェッティングで求めることが出来る。
Further, the entropy change S may be expressed by the following equation.
S = C 1,0 / 2 + 2 * C 2,0 (I 1 -3) + 3 * C 3,0 (I 1 -3) 2
Here, C 1,0 , C 2,0 , and C 3,0 are specific coefficients depending on the composition . It can be obtained by curve fitting of the strain energy change of the experimental result.
以上、上述した本発明の弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式を、前記に示す数式(V)及び(VI)で表される応力と歪の関係式に適用して得られる構成方程式を用いて、ゴム製品の弾性応答性能を予測することができる。 As described above, the constitutive equation representing the temperature and strain dependence of the elastic modulus of the present invention and the constitutive equation representing the temperature and strain dependence of the strain energy are represented by the above-described equations (V) and (VI). The elastic response performance of a rubber product can be predicted by using a constitutive equation obtained by applying the relational expression between the pressure and the strain.
尚、上記歪エネルギーの温度及び歪依存性を表す構成方程式において、歪エネルギー(A)がゴム材料の破壊限界エネルギー値を超えた場合には、該歪エネルギー又は応力をゼロとすることにより、破壊現象を含めて、ゴム製品の弾性応答性能を予測することができる。 In the constitutive equation representing the temperature and strain dependence of the strain energy, when the strain energy (A) exceeds the fracture limit energy value of the rubber material, the strain energy or stress is set to zero, thereby breaking the strain energy. It is possible to predict the elastic response performance of rubber products including phenomena.
また、前記数式(V)及び(VI)で表されるσ(引張り又は圧縮応力)とλ(伸張比又は圧縮比)、τ(せん断応力)とγ(せん断歪)の方程式において、σ×γ又はτ×γがゴム材料の破壊時限界値σ*×γ*又はτ*×γ*を越えた場合には該σ又はτをゼロとすることにより、破壊現象を含めて、ゴム製品の弾性応答性能を予測することができる。 In the equations of σ (tensile or compressive stress) and λ (elongation ratio or compression ratio), τ (shear stress) and γ (shear strain) represented by the formulas (V) and (VI), σ × γ Or, when τ × γ exceeds the limit value σ * × γ * or τ * × γ * of the rubber material, by setting the σ or τ to zero, the elasticity of the rubber product including the fracture phenomenon Response performance can be predicted.
そして、前記ゴム材料の破壊時限界値σ*×γ*又はτ*×γ*に対して、次式で計算されるTcを適用するようにしてもよい。
Tc=T0*r*h
なお、T0は正味の蓄積歪エネルギー、hはヒステレス比し、rは補正係数をそれぞれ表す。
Then, Tc calculated by the following equation may be applied to the fracture limit value σ * × γ * or τ * × γ * of the rubber material.
Tc = T0 * r * h
T0 is the net accumulated strain energy, h is the hysteresis ratio, and r is the correction coefficient.
以上、詳述した本発明のゴム製品を構成するゴム材料の弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式を用いて該ゴム製品の弾性応答性能を予測することにより、所要のシミュレーションを経て、特に、ゴムのミクロレベルでのシミュレーションを経て、該ゴム製品の所望の性能を達成する為の最適なゴム材料を、ミクロレベルで設計することが可能となり、効率的且つ精度の良い有用なゴム製品の設計方法を提供することができる。 The elastic response of the rubber product using the constitutive equation representing the temperature and strain dependence of the elastic modulus of the rubber material constituting the rubber product of the present invention as detailed above and the constitutive equation representing the temperature and strain dependence of the strain energy. By predicting the performance, it is possible to design the optimum rubber material at the micro level to achieve the desired performance of the rubber product through the required simulation, in particular through the simulation at the micro level of rubber. Therefore, it is possible to provide an efficient and accurate method for designing a useful rubber product.
以上、説明した様に、本発明は、ゴム製品の弾性応答性能を予測する際に、ゴム製品を構成するゴム材料のミクロレベルで観察した場合のゴム部の弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式を用いるので、ゴム製品の弾性応答性能を広汎な歪及び温度領域に亙って、ゴム部のミクロレベルでの変形挙動を精度よく予測することができる。 As described above, the present invention predicts the temperature and strain dependence of the elastic modulus of the rubber part when observing at the micro level of the rubber material constituting the rubber product when predicting the elastic response performance of the rubber product. Since the constitutive equation and the constitutive equation representing the temperature and strain dependence of strain energy are used, the elastic response performance of rubber products over a wide range of strain and temperature, the deformation behavior of the rubber part at the micro level is accurately measured. Can be predicted.
また、本発明の上記弾性応答性能の予測方法を使用することにより、ゴム製品ならびにゴム原材料を効率的に且つ精度良く設計することができる有用なゴム製品設計方法を提供することができる。 In addition, by using the elastic response performance prediction method of the present invention, it is possible to provide a useful rubber product design method capable of efficiently and accurately designing a rubber product and a rubber raw material.
以下、図面を参照して、本発明の実施の形態を詳細に説明する。 Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
図1に示す様に、本発明の実施の形態に係る弾性応答性能の予測を実行する弾性応答性能の予測装置(50)は、弾性応答性能予測を実行するための弾性応答性能の予測プログラムにより後述する処理を実行するコンピューター演算処理システムにより構成されている。なお、この様なコンピューターシステムは、例えば、CPU及びROM、RAM、ハードデイスク、入出力端末、その他所要のユニット等を備えている。上記の弾性応答性能の予測プログラムは、予めハードデイスク等に記憶されている。 As shown in FIG. 1, an elastic response performance prediction apparatus (50) for executing prediction of elastic response performance according to an embodiment of the present invention uses an elastic response performance prediction program for executing elastic response performance prediction. It is comprised by the computer arithmetic processing system which performs the process mentioned later. Such a computer system includes, for example, a CPU, a ROM, a RAM, a hard disk, an input / output terminal, and other necessary units. The elastic response performance prediction program is stored in advance on a hard disk or the like.
本発明の実施の形態における弾性応答性能の予測方法では、ゴム製品を構成するゴム材料の弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式、特に好適には前式(I)及び前式(II)を用いて該ゴム製品の弾性応答性能を予測する。 In the method for predicting elastic response performance in the embodiment of the present invention, a constitutive equation representing the temperature and strain dependence of the elastic modulus of the rubber material constituting the rubber product, and a constitutive equation representing the temperature and strain dependence of the strain energy, particularly Preferably, the elastic response performance of the rubber product is predicted using the previous formula (I) and the previous formula (II).
本発明の前式(I)で表されるゴム材料の弾性率の温度及び歪依存性を表す構成方程式を用いて、実際の未充填材配合系ゴム材料について、応力−歪曲線の温度依存性を算出した結果を、添付の図2に示す。応力の温度及び歪依存性に係わる非線形な関係を示す曲線を表していることが良く理解できる。 Using the constitutive equation representing the temperature and strain dependence of the elastic modulus of the rubber material represented by the previous formula (I) of the present invention, the temperature dependence of the stress-strain curve for the actual unfilled compounded rubber material The calculation result is shown in FIG. It can be well understood that a curve showing a non-linear relationship related to temperature and strain dependence of stress is shown.
また、前記歪エネルギーの温度及び歪依存性を表す構成方程式において、歪エネルギー(A)がゴム材料の破壊限界エネルギー値を超えた場合には、該歪エネルギー又は応力をゼロとする破壊現象を含めた応力−歪曲線の温度依存性を算出した結果を、添付の図3に示す。破壊現象を含めた応力の温度及び歪依存性に係わる非線形な関係を示す曲線を表していることが良く理解できる。 Further, in the constitutive equation representing the temperature and strain dependence of the strain energy, when the strain energy (A) exceeds the fracture limit energy value of the rubber material, a fracture phenomenon in which the strain energy or stress is zero is included. The result of calculating the temperature dependence of the stress-strain curve is shown in FIG. It can be understood well that a curve showing a nonlinear relationship related to the temperature and strain dependence of stress including the fracture phenomenon is shown.
さらに、精度を上げるためには、ゴム材料の破壊限度界値σ*又はτ*×γ*の温度依存性を考慮する必要がある。これには、次式で計算されるTcをゴム材料の破壊限度界値に適用することができる。
Tc=To・r・h
ここで、Toは正味の蓄積歪エネルギーで実際の分子鎖切断に消費されるエネルギーを表す。それ以外は熱として破壊エネルギーが放熱されると考える。hはヒステレス比を表し、tanδに置き換えることができる。rは補正係数である。Tanδの温度依存性からTcの温度依存性が求められ、これにより精度の高い弾性応答の温度依存性の算出が可能となる。
Furthermore, in order to increase accuracy, it is necessary to consider the temperature dependence of the fracture limit value σ * or τ * × γ * of the rubber material. For this, Tc calculated by the following equation can be applied to the fracture limit value of the rubber material.
Tc = To ・ r ・ h
Here, To represents the energy consumed for actual molecular chain breakage with net accumulated strain energy. Other than that, it is considered that destruction energy is dissipated as heat. h represents the hysteresis ratio and can be replaced with tan δ. r is a correction coefficient. The temperature dependence of Tc is obtained from the temperature dependence of Tanδ, and this makes it possible to calculate the temperature dependence of the elastic response with high accuracy.
本発明のゴム材料の弾性率の温度及び歪依存性を表す構成方程式ならびに歪エネルギーの温度及び歪依存性を表す構成方程式は、様々な温度で計測した実験結果にも適用が可能であることから、ゴム製品の使用温度での弾性の歪及び温度依存性の結果に対して適用も可能である。更に、歪履歴や温度履歴を受けたゴムの歪依存性は変化することから、歪履歴や温度履歴を受けた後での弾性の歪及び温度依存性の結果に対して適用できる。 The constitutive equation representing the temperature and strain dependence of the elastic modulus of the rubber material of the present invention and the constitutive equation representing the temperature and strain dependence of the strain energy can be applied to the experimental results measured at various temperatures. It can also be applied to the results of elastic strain and temperature dependence at the service temperature of rubber products. Furthermore, since the strain dependency of the rubber that has received the strain history and the temperature history changes, it can be applied to the result of the elastic strain and the temperature dependency after receiving the strain history and the temperature history.
以下の未充填架橋SBRを用いて歪-応力挙動の温度依存性を測定し、実験値と予測値の比較を行った。使用したゴム配合は、SBR1500:100部、ステアリン酸1部、ZnO3部、促進剤1部、硫黄1.75部である。 The temperature dependence of strain-stress behavior was measured using the following unfilled crosslinked SBR, and the experimental values were compared with the predicted values. The rubber formulation used is SBR 1500: 100 parts, 1 part stearic acid, 3 parts ZnO, 1 part accelerator, 1.75 parts sulfur.
ゴム材料の破壊限界値の温度依存性は図4に示すtanδの温度依存性(0.3%歪、52Hzで東洋精機製粘弾性測定装置)の結果に対して、温度時間換算則を適用(測定の破壊面でのゴム変形速度はtanδの測定変形速度3.12mm/sより速いことを考慮)して約20℃低温シフトしたものの、実験に対応する温度(図5の●プロット)における破壊限界値の値を用いた。また、To=100とした。 The temperature dependence of the fracture limit value of the rubber material applies the temperature-time conversion rule to the result of the temperature dependence of tanδ shown in Fig. 4 (0.3% strain, viscoelasticity measuring device manufactured by Toyo Seiki at 52Hz) Although the rubber deformation speed at the fracture surface was shifted by a low temperature of about 20 ° C considering that the measured deformation speed of tan δ was faster than 3.12 mm / s), the fracture limit value at the temperature corresponding to the experiment (● plot in Fig. 5) Values were used. Also, To = 100.
また、構成方程式に用いた値は
S=C1,0/2+2*C2,0(I1−3)+3*C3,0(I1−3)2
において、C1.0=2.5, C2.0=0.25, C3.0=0.15である。
The value used for the constitutive equation is S = C 1,0 / 2 + 2 * C 2,0 (I 1 -3) + 3 * C 3,0 (I 1 -3) 2
In this case, C1.0 = 2.5, C2.0 = 0.25, and C3.0 = 0.15.
そして、上記数1において、k=40, P=1, Mc=2000,R=8.2, N1=90000000を使用した。 In Equation 1, k = 40, P = 1, Mc = 2000, R = 8.2, and N1 = 90000000 were used.
以上のパラメータを用いて予測したゴムの弾性応答の予測値と、東洋精機製の引っ張り試験機(引っ張り速度300mm/s)で温度を変化させて測定した歪-応力プロットの結果を図6に示す。両者とも良い一致をしており、ゴムの弾性率の温度依存性ならびに歪依存性を精度良く表しているといえる。 FIG. 6 shows the predicted value of the elastic response of the rubber predicted using the above parameters, and the strain-stress plot results measured by changing the temperature with a tensile tester manufactured by Toyo Seiki (tensile speed of 300 mm / s). . Both agree well, and it can be said that the temperature dependency and strain dependency of the elastic modulus of the rubber are accurately expressed.
以上の結果は、ゴム材料の破壊に至るまでの変形挙動ならびに温度依存性を非常に良く表しており、ミクロレベルでの低温ならびに高速での変形や破壊現象を、本構成方程式をFEMに適用することで精度良く表すことができる。 The above results show the deformation behavior and temperature dependence up to the destruction of rubber material very well, and apply this constitutive equation to FEM for deformation and fracture phenomenon at low temperature and high speed at micro level. Can be expressed with high accuracy.
50 弾性応答性能予測装置 50 Elastic response performance prediction device
Claims (10)
上記ゴム製品を構成するゴム材料の弾性率の温度及び歪依存性を表しかつ以下の数式(I)で示される構成方程式ならびに歪エネルギーの温度及び歪依存性を表しかつ以下の数式(II)で示される構成方程式を用いて該ゴム製品の弾性応答性能を予測することを特徴とする弾性応答性能予測方法。
〔数式(II)において、Aは歪エネルギーを表し、Sはゴム変形時のエントロピー変化を表し、I1は歪の不変量を表し、Tは絶対温度を表す。βは1/(k△T)に等しく、kはボルツマン定数、△Tはゴム高分子のガラス転移温度Tgからの差分を表す。〕 In an elastic response performance prediction method for predicting deformation and fracture behavior of a rubber product using a finite element analysis method (FEA),
Temperature and strain dependence equations temperature and strain dependence of the constitutive equations and strain energy following table vital given by the following equation table vital (I) of the modulus of elasticity of the rubber material constituting the rubber product (II An elastic response performance prediction method, wherein the elastic response performance of the rubber product is predicted using a constitutive equation represented by
[In Formula (II), A represents strain energy, S represents entropy change at the time of rubber deformation, I 1 represents invariant of strain, and T represents absolute temperature. β is equal to 1 / (kΔT), k is a Boltzmann constant, and ΔT is a difference from the glass transition temperature Tg of the rubber polymer. ]
S=C1,0/2+2*C2,0(I1−3)+3*C3,0(I1−3)2
〔C1,0、C2,0、C3,0は、配合による固有の係数である。〕 The entropy change S is elastic response performance prediction method according to claim 1 or claim 2, characterized by being represented by the following formula.
S = C 1,0 / 2 + 2 * C 2,0 (I 1 -3) + 3 * C 3,0 (I 1 -3) 2
[C 1,0 , C 2,0 , C 3,0 are specific coefficients depending on the blending. ]
Tc=T0*r*h
〔T0は正味の蓄積歪エネルギー、hはヒステレス比、rは補正係数をそれぞれ表す。〕 The elasticity according to any one of claims 1 to 8 , wherein Tc calculated by the following equation is applied to the fracture time limit value σ * × γ * or τ * × γ * of the rubber material. Response performance prediction method.
Tc = T0 * r * h
[T0 is the net accumulated strain energy, h is the hysteresis ratio, and r is the correction coefficient. ]
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| WO2012046740A1 (en) | 2010-10-05 | 2012-04-12 | 株式会社ブリヂストン | Method for predicting elastic response performance of rubber product, method for design, and device for predicting elastic response performance |
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| WO2012046740A1 (en) | 2010-10-05 | 2012-04-12 | 株式会社ブリヂストン | Method for predicting elastic response performance of rubber product, method for design, and device for predicting elastic response performance |
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| JP2012078295A (en) * | 2010-10-05 | 2012-04-19 | Bridgestone Corp | Method for predicting elastic response performance of rubber product, design method and elastic response performance prediction device |
| CN103154702A (en) * | 2010-10-05 | 2013-06-12 | 株式会社普利司通 | Method for predicting elastic response performance of rubber product, method for design, and device for predicting elastic response performance |
| CN103154703A (en) * | 2010-10-05 | 2013-06-12 | 株式会社普利司通 | Method for predicting elastic response performance of rubber product, method for design, and device for predicting elastic response performance |
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