JP6243774B2 - Generation device, generation method and computer program of crosslinked particle model for molecular dynamics calculation. - Google Patents
Generation device, generation method and computer program of crosslinked particle model for molecular dynamics calculation. Download PDFInfo
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Description
本発明は、粘弾性を算出するために利用される分子動力学計算用架橋粒子モデルを生成する装置、生成方法及びコンピュータプログラムに関する。 The present invention relates to an apparatus, a generation method, and a computer program for generating a crosslinked particle model for molecular dynamics calculation used for calculating viscoelasticity.
例えば未加硫ゴムに硫黄等の架橋剤を加えて加硫する加硫ゴムについて、実験により架橋分布を観察するのは困難である。架橋分布が粘弾性に影響を与えることは知られており、CAE(Computer Aided Engineering)を用いたコンピュータシミュレーションで粒子の架橋分布と粘弾性の関連性を解析できれば、研究開発を進めるうえで好ましいと考えられる。ところが、未だに、粒子の架橋分布の制御方法は確立されていない。 For example, it is difficult to observe the crosslinking distribution by experiment for vulcanized rubber vulcanized by adding a crosslinking agent such as sulfur to unvulcanized rubber. It is known that the cross-linking distribution affects viscoelasticity, and it would be preferable for research and development if it was possible to analyze the relationship between the cross-linking distribution of particles and viscoelasticity by computer simulation using CAE (Computer Aided Engineering). Conceivable. However, a method for controlling the cross-linking distribution of particles has not been established yet.
粒子の架橋分布の制御方法を模索する文献として、例えば非特許文献1には、複数のモノマー粒子が数珠繋ぎとなった分子鎖モデルに対し、架橋可能な粒子を指定することが開示されている。架橋可能粒子の設定は、架橋可能粒子の間に配置する架橋不可能な粒子の数を指定することにより行う。これによれば、例えば、架橋可能な粒子が1個目、80個目と指定された場合、その間の粒子は、架橋不可能な粒子として設定される。架橋可能な粒子間に配置する架橋不可能な粒子の数を変化させることによって、架橋の分布を不均一にすることが開示されている。なお、この分子鎖モデルに対して分子動力学計算により架橋処理(反応処理)を行う。 For example, Non-Patent Document 1 discloses, as a document seeking a method for controlling the crosslinking distribution of particles, that a crosslinkable particle is designated for a molecular chain model in which a plurality of monomer particles are linked together. The setting of the crosslinkable particles is performed by designating the number of non-crosslinkable particles arranged between the crosslinkable particles. According to this, for example, when the first and 80th crosslinkable particles are designated, the particles in between are set as non-crosslinkable particles. It has been disclosed to make the distribution of crosslinks non-uniform by changing the number of non-crosslinkable particles placed between the crosslinkable particles. The molecular chain model is subjected to crosslinking treatment (reaction treatment) by molecular dynamics calculation.
また、粒子の架橋分布の制御方法を模索する他の文献として、例えば非特許文献2には、複数の粒子を架橋したクラスタを並べ、クラスタ間を架橋することで架橋の粗密の表現を試みることが開示されている。 In addition, as another document for searching for a method for controlling the crosslinking distribution of particles, Non-Patent Document 2, for example, attempts to express the density of crosslinking by arranging clusters in which a plurality of particles are crosslinked and crosslinking the clusters. Is disclosed.
ところが、本発明の発明者らは、上記非特許文献に記載に基づいて粒子モデルを設定し、分子動力学計算により架橋モデルを生成したところ、上記非特許文献に記載の方法では不具合があることが分かった。 However, the inventors of the present invention set a particle model based on the description in the non-patent document and generated a crosslinking model by molecular dynamics calculation. However, the method described in the non-patent document has a problem. I understood.
非特許文献1では、粒子モデルに対する架橋可能な粒子に分布を持たせても、架橋した粒子は空間的にランダムに分布していることが分かり、架橋後の粒子が空間的に不均一な分布にならないことが判明した。 Non-Patent Document 1 shows that even if the crosslinkable particles for the particle model are distributed, the crosslinked particles are spatially randomly distributed, and the crosslinked particles are spatially non-uniformly distributed. It turned out not to be.
非特許文献2では、規則的に並べた架橋クラスタ間を架橋するため、結果として、規則的な構造になることが判明した。 In Non-Patent Document 2, it was found that a regular structure is formed as a result of crosslinking between regularly arranged crosslinked clusters.
本発明は、このような課題に着目してなされたものであって、その目的は、分子鎖の架橋分布を制御可能にして、空間的に不均一な架橋分布を持った架橋粒子モデルを生成する装置、方法及びコンピュータプログラムを提供することである。 The present invention has been made paying attention to such problems, and its purpose is to control the cross-linking distribution of molecular chains, and to generate a cross-linked particle model having a spatially non-uniform cross-linking distribution. An apparatus, a method, and a computer program are provided.
本発明は、上記目的を達成するために、次のような手段を講じている。 In order to achieve the above object, the present invention takes the following measures.
すなわち、本発明の分子動力学計算用架橋粒子モデルの生成装置は、直鎖状又は分岐状のポリマー粒子モデルを構成する各粒子に対し、架橋剤粒子と架橋する確率を表す所定の架橋確率を設定すると共に、連続する少なくとも3つの粒子を、周囲の粒子よりも高い架橋確率を有する優先架橋粒子に設定する設定部と、予め設定された解析条件に基づいて分子動力学計算を行い、前記ポリマー粒子モデルの粒子が前記架橋剤粒子に所定距離以内に近づいた場合に当該粒子に設定された架橋確率で両者を結合させる反応処理を実行する反応処理実行部と、を備える。 That is, the molecular particle dynamic cross-linking model generating apparatus of the present invention has a predetermined cross-linking probability that represents the probability of cross-linking with the cross-linking agent particle for each particle constituting the linear or branched polymer particle model. Setting and setting at least three consecutive particles as preferentially crosslinked particles having a higher crosslinking probability than the surrounding particles, and performing molecular dynamics calculation based on preset analysis conditions, the polymer A reaction process execution unit that executes a reaction process for combining the particles with a crosslinking probability set to the particles when the particles of the particle model approach the cross-linking agent particles within a predetermined distance.
本発明の分子動力学計算用架橋粒子モデルの生成方法は、コンピュータが実行する方法であって、直鎖状又は分岐状のポリマー粒子モデルを構成する各粒子に対し、架橋剤粒子と架橋する確率を表す所定の架橋確率を設定すると共に、連続する少なくとも3つの粒子を、周囲の粒子よりも高い架橋確率を有する優先架橋粒子に設定するステップと、予め設定された解析条件に基づいて分子動力学計算を行い、前記ポリマー粒子モデルの粒子が前記架橋剤粒子に所定距離以内に近づいた場合に当該粒子に対応する前記架橋確率で両者を結合させる反応処理を実行するステップと、を含む。 The method for generating a crosslinked particle model for molecular dynamics calculation according to the present invention is a computer-executed method, and the probability that each particle constituting a linear or branched polymer particle model is crosslinked with a crosslinking agent particle. And setting a predetermined cross-linking probability representing at least three consecutive particles as preferential cross-linking particles having a higher cross-linking probability than surrounding particles, and molecular dynamics based on preset analysis conditions Performing a calculation process, and executing a reaction process for combining the particles with the cross-linking probability corresponding to the particles when the particles of the polymer particle model approach the cross-linking agent particles within a predetermined distance.
本発明によれば、ポリマー粒子モデルを構成する各粒子には、所定の架橋確率が設定され、さらに、連続する少なくとも3つの粒子が優先架橋粒子として周囲に比して高い架橋確率にされる。その結果、連続する少なくとも3つの優先架橋粒子に対して優先的に架橋剤粒子が架橋することになるので、架橋した粒子が空間的に不均一に分布することになり、分子鎖の架橋分布を制御でき、空間的に不均一な架橋分布を持つ粒子モデルを生成できる。 According to the present invention, a predetermined cross-linking probability is set for each particle constituting the polymer particle model, and at least three continuous particles have a high cross-linking probability as a preferential cross-linking particle compared to the surroundings. As a result, since the crosslinking agent particles are preferentially crosslinked with respect to at least three consecutive preferentially crosslinked particles, the crosslinked particles are spatially unevenly distributed, and the cross-linking distribution of molecular chains is reduced. A particle model that can be controlled and has a spatially non-uniform cross-linking distribution can be generated.
反応処理を適切に行うためには、前記優先架橋粒子と前記架橋剤粒子の反応処理を実行し、その後、前記ポリマー粒子モデルを構成する全ての粒子と前記架橋剤粒子の反応処理を実行することが好ましい。 In order to appropriately perform the reaction treatment, the reaction treatment of the preferential crosslinking particles and the crosslinking agent particles is performed, and then the reaction treatment of all the particles constituting the polymer particle model and the crosslinking agent particles is performed. Is preferred.
優先架橋粒子を適切に設定するためには、前記ポリマー粒子モデルを構成する全粒子からランダムで粒子を選択し、選択した粒子を含む連続する少なくとも3つの粒子を前記優先架橋粒子に設定することが好ましい。 In order to appropriately set the preferentially crosslinked particles, particles are randomly selected from all particles constituting the polymer particle model, and at least three consecutive particles including the selected particles are set as the preferentially crosslinked particles. preferable.
本発明は、上記方法を構成するステップをコンピュータに実行させるプログラムとして特定可能である。 The present invention can be specified as a program that causes a computer to execute the steps constituting the method.
以下、本発明の一実施形態を、図面を参照して説明する。 Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
[架橋粒子モデルの生成装置]
本実施形態の装置は、粘弾性を算出するために利用される分子動力学計算用架橋粒子モデルを生成する装置である。
[Crosslinked particle model generator]
The apparatus of the present embodiment is an apparatus that generates a crosslinked particle model for molecular dynamics calculation used for calculating viscoelasticity.
図1に示すように、装置1は、設定部10と、反応処理実行部11と、を有する。これら各部10〜11は、CPU、メモリ、各種インターフェイス等を備えたパソコン等の情報処理装置において予め記憶されている図3に示すモデル生成処理ルーチンをCPUが実行することによりソフトウェア及びハードウェアが協働して実現される。 As illustrated in FIG. 1, the apparatus 1 includes a setting unit 10 and a reaction processing execution unit 11. These units 10 to 11 are configured such that software and hardware cooperate with each other when the CPU executes a model generation processing routine shown in FIG. 3 stored in advance in an information processing apparatus such as a personal computer having a CPU, a memory, various interfaces, and the like. Realized by working.
図1に示す設定部10は、キーボードやマウス等の既知の操作部を介してユーザからの操作を受け付け、ポリマー粒子モデルに関する情報の設定、硫黄等の架橋剤に関する設定、架橋に必要となる分子動力学計算に用いる各種解析条件の設定を実行し、これらをメモリに記憶する。 The setting unit 10 shown in FIG. 1 accepts an operation from a user via a known operation unit such as a keyboard and a mouse, sets information on a polymer particle model, sets about a crosslinking agent such as sulfur, and molecules necessary for crosslinking. Various analysis conditions used for dynamic calculation are set and stored in the memory.
図1に示す設定部10は、図2(a)に示す直鎖状のポリマーモデルを構成する各粒子2(図中では丸で示す)に対し、図2(d)に示す架橋剤粒子3(図中では塗りつぶし円で示す)と架橋する確率を表す所定の架橋確率T1を設定する。設定部10は、図2(c)に示すように、連続する少なくとも3つの粒子(斜線で示す)を周囲の粒子(白抜きで示す)よりも高い架橋確率T2を有する優先架橋粒子20に設定する。優先架橋粒子20の架橋確率T2は、優先架橋粒子以外の粒子21の架橋確率T1よりも高い。優先架橋粒子20は、少なくとも3つ連続していれば効果を確認できるので、3つ以上あればよい。なお、本実施形態では、複数の粒子が直列接続された直鎖状のモデルを例に挙げているが、これに限定されない。例えば、分岐を有する分岐状のモデルでもよい。 The setting unit 10 shown in FIG. 1 has a cross-linking agent particle 3 shown in FIG. 2 (d) for each particle 2 (shown by a circle in the figure) constituting the linear polymer model shown in FIG. 2 (a). A predetermined bridging probability T1 representing the probability of bridging (indicated by a filled circle in the figure) is set. As shown in FIG. 2 (c), the setting unit 10 sets at least three consecutive particles (shown by diagonal lines) as preferentially crosslinked particles 20 having a higher crosslinking probability T2 than surrounding particles (shown by white lines). To do. The crosslinking probability T2 of the preferentially crosslinked particles 20 is higher than the crosslinking probability T1 of the particles 21 other than the preferentially crosslinked particles. Since the effect can be confirmed if at least three preferentially crosslinked particles 20 are continuous, it is sufficient if there are three or more. In the present embodiment, a linear model in which a plurality of particles are connected in series is taken as an example, but the present invention is not limited to this. For example, a branched model having branches may be used.
具体的に、優先架橋粒子20の設定方法は、図2(b)及び(c)に示すように、ポリマー粒子モデルを構成する全粒子2からランダムで粒子を選択し、選択した粒子を含む連続する少なくとも3つの粒子を優先架橋粒子20に設定する。 Specifically, as shown in FIGS. 2B and 2C, the method for setting the preferentially crosslinked particles 20 is to select particles at random from all the particles 2 constituting the polymer particle model, and continuously including the selected particles. At least three particles are set as preferentially crosslinked particles 20.
図1に示す反応処理実行部11は、予め設定された解析条件に基づいて分子動力学計算を行い、ポリマー粒子モデルの粒子2が架橋剤粒子3に所定距離以内に近づいた場合に当該粒子2に対応する架橋確率(T1,T2)で両者を結合させる反応処理を実行する。 The reaction processing execution unit 11 shown in FIG. 1 performs molecular dynamics calculation based on preset analysis conditions. When the particle 2 of the polymer particle model approaches the cross-linking agent particle 3 within a predetermined distance, the particle 2 A reaction process is performed in which both are bonded with a cross-linking probability (T1, T2) corresponding to.
具体的に、図2(e)に示すように優先架橋粒子20と架橋剤粒子3の反応処理を実行し、その後、図2(f)に示すようにポリマー粒子モデルを構成する全ての粒子2(20,21)と架橋剤粒子3の反応処理を実行する。このようにすれば、優先架橋粒子20を架橋剤粒子3と優先的に反応させることができ、さらに、架橋剤粒子3の反応が十分でない場合も考慮して、優先架橋粒子以外のポリマー粒子21と反応させることができる。 Specifically, the reaction treatment of the preferentially crosslinked particles 20 and the crosslinking agent particles 3 is performed as shown in FIG. 2 (e), and then all the particles 2 constituting the polymer particle model as shown in FIG. 2 (f). (20, 21) and the cross-linking agent particle 3 are reacted. In this way, the preferentially crosslinked particles 20 can be preferentially reacted with the crosslinker particles 3, and the polymer particles 21 other than the preferentially crosslinked particles are also taken into consideration when the reaction of the crosslinker particles 3 is not sufficient. Can be reacted.
[架橋粒子モデルの生成方法]
上記装置1を用いて架橋粒子モデルを生成する方法について説明する。
[Method for generating crosslinked particle model]
A method for generating a crosslinked particle model using the apparatus 1 will be described.
まず、ステップST1(図3参照)において、図1に示す設定部10は、設定されたデータに基づいて図2(a)に例示するような、複数の粒子が連続するポリマー粒子モデルを生成する。 First, in step ST1 (see FIG. 3), the setting unit 10 shown in FIG. 1 generates a polymer particle model in which a plurality of particles are continuous as illustrated in FIG. 2A based on the set data. .
次のステップST2(図3参照)において、設定部10は、図2(b)に示すように、乱数を発生させ、当該乱数に基づいてポリマー粒子モデルを構成する全粒子2からランダムで粒子を選択する。 In the next step ST2 (see FIG. 3), the setting unit 10 generates a random number as shown in FIG. 2B, and randomly selects particles from all the particles 2 constituting the polymer particle model based on the random number. select.
次のステップST3(図3参照)において、設定部10は、図2(c)に示すように、選択した粒子を含む連続する少なくとも3つの粒子を優先架橋粒子20に設定する。 In the next step ST3 (see FIG. 3), the setting unit 10 sets at least three consecutive particles including the selected particles as the preferentially crosslinked particles 20, as shown in FIG.
次のステップST4(図3参照)において、図2(d)に示すように、設定データに基づき硫黄等の架橋剤粒子3を生成する。 In the next step ST4 (see FIG. 3), as shown in FIG. 2D, the crosslinking agent particles 3 such as sulfur are generated based on the setting data.
次のステップST5(図3参照)において、反応処理実行部11は、図2(e)に示すように、優先架橋粒子20と架橋剤粒子3の反応処理を実行する。反応処理は、予め設定された解析条件に基づいて分子動力学計算を行い、ポリマー粒子モデル(優先架橋粒子20)が架橋剤粒子3に所定距離以内に近づいた場合に、当該優先架橋粒子20に対応する架橋確率T2で両者を結合させる処理である。 In the next step ST5 (see FIG. 3), the reaction process execution unit 11 executes a reaction process between the preferentially crosslinked particles 20 and the crosslinking agent particles 3 as shown in FIG. In the reaction process, molecular dynamics calculation is performed based on preset analysis conditions, and when the polymer particle model (preferential cross-linked particle 20) approaches the cross-linking agent particle 3 within a predetermined distance, the preferential cross-linked particle 20 is This is a process of bonding both with a corresponding crosslinking probability T2.
次のステップST6(図3参照)において、反応処理実行部11は、図2(f)に示すように、ポリマー粒子モデルを構成する全ての粒子2(優先架橋粒子20、優先架橋粒子20以外の粒子21)と架橋剤粒子3の反応処理を実行する。この反応処理は、予め設定された解析条件に基づいて分子動力学計算を行い、ポリマー粒子モデル(優先架橋粒子20、優先架橋粒子20以外の粒子21)が架橋剤粒子3に所定距離以内に近づいた場合に、当該粒子2に対応する架橋確率T2で両者を結合させる処理である。この処理を行うために、優先架橋粒子20の設定を解除して、ポリマー粒子モデルを構成する全粒子2が同じ架橋確率T1になるようにすればよい。 In the next step ST6 (see FIG. 3), as shown in FIG. 2 (f), the reaction processing execution unit 11 makes all the particles 2 constituting the polymer particle model (other than the preferentially crosslinked particles 20 and the preferentially crosslinked particles 20). The reaction treatment of the particles 21) and the crosslinking agent particles 3 is carried out. In this reaction process, molecular dynamics calculation is performed based on preset analysis conditions, and the polymer particle model (the preferentially crosslinked particles 20 and the particles 21 other than the preferentially crosslinked particles 20) approaches the crosslinker particles 3 within a predetermined distance. In this case, both of them are combined with a crosslinking probability T2 corresponding to the particle 2. In order to perform this process, the setting of the preferentially crosslinked particles 20 is canceled so that all the particles 2 constituting the polymer particle model have the same crosslinking probability T1.
上記ステップST1〜6を実行すれば、優先架橋粒子20の連続数によって架橋分布を制御した架橋粒子モデルを得ることができる。 If steps ST1 to ST6 are executed, a crosslinked particle model in which the crosslinking distribution is controlled by the continuous number of the preferentially crosslinked particles 20 can be obtained.
上記装置及び方法の有効性を確認するために、次に述べるポリマー粒子モデルを生成し、当該ポリマー粒子モデルを用いて分子動力学計算を行い、粒子の可視画像を得ると共に、架橋点(架橋部分)の動径分布関数を得た。下記のいずれもポリマー長さは等しくしてある。 In order to confirm the effectiveness of the above apparatus and method, a polymer particle model described below is generated, molecular dynamics calculation is performed using the polymer particle model to obtain a visible image of the particle, ) Radial distribution function. All of the following have the same polymer length.
比較例1
全ポリマー粒子が架橋剤粒子3と同じ確率で反応するように同一確率に設定したポリマー粒子モデルを生成した。
Comparative Example 1
A polymer particle model was generated with the same probability set so that all polymer particles reacted with the same probability as the crosslinker particle 3.
比較例2
非特許文献2の記載に基づき架橋クラスタを作成し、規則的に配置したクラスタ間を架橋したポリマー粒子モデルを生成した。
Comparative Example 2
Based on the description of Non-Patent Document 2, a crosslinked cluster was created, and a polymer particle model was generated in which regularly arranged clusters were crosslinked.
比較例3
非特許文献2の記載に基づき分子鎖内の末端から1番目、120番目、240番目、260番目、280番目、300番目の粒子のみ架橋可能な粒子に設定し、その他の粒子を架橋不可能な粒子に設定したポリマー粒子モデルを生成した。
Comparative Example 3
Based on the description in Non-Patent Document 2, only the first, 120th, 240th, 260th, 280th, and 300th particles from the end in the molecular chain are set as crosslinkable particles, and other particles cannot be crosslinked. A polymer particle model set for the particles was generated.
比較例4
本発明に述べる装置及び方法を用いたが、連続した2個の優先架橋粒子20を50箇所に設定した。
Comparative Example 4
The apparatus and method described in the present invention were used, but two continuous preferentially crosslinked particles 20 were set at 50 locations.
実施例1
本発明に述べる装置及び方法を用いて、連続した3個の優先架橋粒子20を50箇所に設定した。
Example 1
Using the apparatus and method described in the present invention, three consecutive preferentially crosslinked particles 20 were set at 50 locations.
実施例2
本発明に述べる装置及び方法を用いて、連続した5個の優先架橋粒子20を50箇所に設定した。
Example 2
Using the apparatus and method described in the present invention, five consecutive preferentially crosslinked particles 20 were set at 50 locations.
実施例3
本発明に述べる装置及び方法を用いて、連続した11個の優先架橋粒子20を50箇所に設定した。
Example 3
Using the apparatus and method described in the present invention, 11 consecutive preferentially crosslinked particles 20 were set at 50 locations.
図4は、比較例1〜4及び実施例1〜3それぞれについて架橋点の可視画像を示す。図4を見れば分かる通り、比較例1〜3は架橋点がランダムに分布し、均一分布といえる。比較例4は架橋点が均等分布か不均一といえるかの判断が難しいところである。実施例1〜3は、架橋点が局所的に集中しており、不均一分布であるのが見て分かる。 FIG. 4 shows a visible image of a crosslinking point for each of Comparative Examples 1-4 and Examples 1-3. As can be seen from FIG. 4, in Comparative Examples 1 to 3, the crosslinking points are randomly distributed and can be said to be a uniform distribution. In Comparative Example 4, it is difficult to determine whether the cross-linking points are uniformly distributed or non-uniform. In Examples 1 to 3, it can be seen that the crosslinking points are locally concentrated and have a non-uniform distribution.
図5は、比較例1〜4と実施例1〜3それぞれについて架橋点の動径分布関数を示す。動径分布関数が1に近い場合には、粒子がランダムに分布していることを意味する。図5によれば、比較例1〜4は、動径分布関数が1に近く、また、1を中心として波打っていることから架橋点が規則的な分布であると理解できる。一方、実施例1〜3については、動径分布関数に1を超える大きなピークがあり、その後1に漸近していく。これは、動径分布関数が1に近づく程度の大きさの凝集体がランダムに分布していることを表しており、架橋点が不均一に分布していることを意味する。 FIG. 5 shows the radial distribution function of the crosslinking points for each of Comparative Examples 1 to 4 and Examples 1 to 3. When the radial distribution function is close to 1, it means that the particles are randomly distributed. According to FIG. 5, in Comparative Examples 1 to 4, the radial distribution function is close to 1, and it can be understood that the bridging points have a regular distribution since they are wavy around 1. On the other hand, in Examples 1 to 3, the radial distribution function has a large peak exceeding 1 and then gradually approaches 1. This indicates that aggregates having a size such that the radial distribution function approaches 1 are randomly distributed, and the cross-linking points are unevenly distributed.
以上のように、本実施形態の分子動力学計算用架橋粒子モデルの生成装置は、直鎖状又は分岐状のポリマー粒子モデルを構成する各粒子2に対し、架橋剤粒子3と架橋する確率を表す所定の架橋確率T1を設定すると共に、連続する少なくとも3つの粒子を、周囲の粒子よりも高い架橋確率T2を有する優先架橋粒子20に設定する設定部10と、予め設定された解析条件に基づいて分子動力学計算を行い、ポリマー粒子モデルの粒子2(20,21)が架橋剤粒子3に所定距離以内に近づいた場合に当該粒子2(20,21)に設定された架橋確率(T1,T2)で両者を結合させる反応処理を実行する反応処理実行部11と、を備える。 As described above, the generation device of the crosslinked particle model for molecular dynamics calculation according to the present embodiment has a probability of crosslinking with the crosslinking agent particle 3 for each particle 2 constituting the linear or branched polymer particle model. Based on a setting unit 10 that sets a predetermined cross-linking probability T1 to be expressed, and sets at least three consecutive particles as preferential cross-linking particles 20 having a higher cross-linking probability T2 than surrounding particles, and preset analysis conditions Molecular dynamics calculation is performed, and when the particle 2 (20, 21) of the polymer particle model approaches the cross-linking agent particle 3 within a predetermined distance, the crosslinking probability (T1, T2) set for the particle 2 (20, 21) And a reaction process execution unit 11 that executes a reaction process for combining the two in T2).
本実施形態の分子動力学計算用架橋粒子モデルの生成方法は、コンピュータが実行する方法であって、直鎖状又は分岐状のポリマー粒子モデルを構成する各粒子2に対し、架橋剤粒子3と架橋する確率を表す所定の架橋確率T1を設定すると共に、連続する少なくとも3つの粒子を、周囲の粒子よりも高い架橋確率T2を有する優先架橋粒子20に設定するステップ(ST2,ST3)と、予め設定された解析条件に基づいて分子動力学計算を行い、ポリマー粒子モデルの粒子2(20,21)が架橋剤粒子3に所定距離以内に近づいた場合に当該粒子2(20,21)に対応する架橋確率(T1,T2)で両者を結合させる反応処理を実行するステップ(ST5)と、を含む。 The method for generating a crosslinked particle model for molecular dynamics calculation according to the present embodiment is a computer-executed method, in which a crosslinking agent particle 3 and a particle 2 constituting a linear or branched polymer particle model are A step (ST2, ST3) of setting a predetermined cross-linking probability T1 representing the probability of cross-linking and setting at least three consecutive particles as preferential cross-linking particles 20 having a higher cross-linking probability T2 than surrounding particles; Molecular dynamics calculation is performed based on the set analysis conditions, and when the particle 2 (20, 21) of the polymer particle model approaches the cross-linking agent particle 3 within a predetermined distance, it corresponds to the particle 2 (20, 21) And a step (ST5) of executing a reaction process for bonding the two at a crosslinking probability (T1, T2).
上記によれば、ポリマー粒子モデルを構成する各粒子2には、所定の架橋確率T1が設定され、さらに、連続する少なくとも3つの粒子が優先架橋粒子20として周囲に比して高い架橋確率T2にされる。その結果、連続する少なくとも3つの優先架橋粒子20に対して優先的に架橋剤粒子3が架橋することになるので、架橋した粒子が空間的に不均一に分布することになり、分子鎖の架橋分布を制御でき、空間的に不均一な架橋分布を持つ粒子モデルを生成できる According to the above, a predetermined crosslinking probability T1 is set for each particle 2 constituting the polymer particle model, and at least three consecutive particles have a higher crosslinking probability T2 as the preferential crosslinking particles 20 than the surroundings. Is done. As a result, the crosslinking agent particles 3 are preferentially cross-linked with respect to at least three consecutive preferentially cross-linked particles 20, so that the cross-linked particles are spatially unevenly distributed. Can control the distribution and generate a particle model with spatially non-uniform cross-linking distribution
本実施形態では、優先架橋粒子20と架橋剤粒子3の反応処理を実行し、その後、ポリマー粒子モデルを構成する全ての粒子2(優先架橋粒子20,優先架橋粒子20以外の粒子21)と架橋剤粒子3の反応処理を実行する。 In the present embodiment, the reaction process between the preferentially crosslinked particles 20 and the crosslinker particles 3 is performed, and then all the particles 2 (preferentially crosslinked particles 20 and particles 21 other than the preferentially crosslinked particles 20) constituting the polymer particle model are crosslinked. The reaction process of the agent particle 3 is executed.
このようにすれば、優先架橋粒子20を優先的に架橋剤粒子3と反応させることができ、不均一性を得るうえで好ましい。 In this way, the preferentially crosslinked particles 20 can be preferentially reacted with the crosslinker particles 3, which is preferable in obtaining nonuniformity.
本実施形態では、ポリマー粒子モデルを構成する全粒子2からランダムで粒子を選択し、選択した粒子を含む連続する少なくとも3つの粒子を優先架橋粒子20に設定する。 In the present embodiment, particles are randomly selected from all particles 2 constituting the polymer particle model, and at least three consecutive particles including the selected particles are set as the preferentially crosslinked particles 20.
このようにすれば、コンピュータでの実装が容易となる。 In this way, mounting on a computer becomes easy.
本実施形態に係るコンピュータプログラムは、上記方法を構成する各ステップをコンピュータに実行させるプログラムである。このプログラムを実行することによっても、上記方法の奏する作用効果を得ることが可能となる。言い換えると、上記方法を使用しているとも言える。 The computer program according to the present embodiment is a program that causes a computer to execute the steps constituting the method. By executing this program, it is possible to obtain the operational effects of the above method. In other words, it can be said that the above method is used.
以上、本発明の実施形態について図面に基づいて説明したが、具体的な構成は、これらの実施形態に限定されるものでないと考えられるべきである。本発明の範囲は、上記した実施形態の説明だけではなく特許請求の範囲によって示され、さらに特許請求の範囲と均等の意味および範囲内でのすべての変更が含まれる。 As mentioned above, although embodiment of this invention was described based on drawing, it should be thought that a specific structure is not limited to these embodiment. The scope of the present invention is shown not only by the above description of the embodiments but also by the scope of claims for patent, and further includes all modifications within the meaning and scope equivalent to the scope of claims for patent.
例えば、図1に示す各部10〜11は、所定プログラムをコンピュータのCPUで実行することで実現しているが、各部を専用メモリや専用回路で構成してもよい。 For example, each of the units 10 to 11 illustrated in FIG. 1 is realized by executing a predetermined program by a CPU of a computer, but each unit may be configured by a dedicated memory or a dedicated circuit.
また、本実施形態では、優先架橋粒子20と架橋剤粒子3の反応処理を行った後で、優先架橋粒子20の設定を解除し、ポリマー粒子モデルを構成する全粒子2と架橋剤粒子3の反応処理を行っているが、この処理は省略可能である。 Moreover, in this embodiment, after performing the reaction process of the preferential crosslinking particle 20 and the crosslinking agent particle 3, the setting of the preferential crosslinking particle 20 is canceled, and all of the particles 2 and the crosslinking agent particle 3 constituting the polymer particle model are released. Although a reaction process is performed, this process can be omitted.
上記の各実施形態で採用している構造を他の任意の実施形態に採用することは可能である。各部の具体的な構成は、上述した実施形態のみに限定されるものではなく、本発明の趣旨を逸脱しない範囲で種々変形が可能である。 The structure employed in each of the above embodiments can be employed in any other embodiment. The specific configuration of each unit is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit of the present invention.
10…設定部
11…反応処理実行部
2…ポリマー粒子モデルを構成する粒子
20…優先架橋粒子
21…優先架橋粒子以外の粒子
3…架橋剤粒子
T1,T2…架橋確率
DESCRIPTION OF SYMBOLS 10 ... Setting part 11 ... Reaction process execution part 2 ... Particle | grains which comprise a polymer particle model 20 ... Preferential cross-linking particle 21 ... Particles other than preferential cross-linking particle 3 ... Cross-linking agent particle T1, T2 ... Cross-linking probability
Claims (7)
予め設定された解析条件に基づいて分子動力学計算を行い、前記ポリマー粒子モデルの粒子が前記架橋剤粒子に所定距離以内に近づいた場合に当該粒子に設定された架橋確率で両者を結合させる反応処理を実行する反応処理実行部と、を備える分子動力学計算用架橋粒子モデルの生成装置。 For each particle constituting the linear or branched polymer particle model, a predetermined crosslinking probability representing the probability of crosslinking with the crosslinking agent particle is set, and at least three consecutive particles are higher than the surrounding particles. A setting unit for setting the preferentially crosslinked particles having a crosslinking probability;
A reaction in which molecular dynamics calculation is performed based on preset analysis conditions, and when the polymer particle model particle approaches the cross-linking agent particle within a predetermined distance, the cross-linking probability set for the particle is coupled to both. An apparatus for generating a crosslinked particle model for molecular dynamics calculation, comprising: a reaction processing execution unit that executes processing.
直鎖状又は分岐状のポリマー粒子モデルを構成する各粒子に対し、架橋剤粒子と架橋する確率を表す所定の架橋確率を設定すると共に、連続する少なくとも3つの粒子を、周囲の粒子よりも高い架橋確率を有する優先架橋粒子に設定するステップと、
予め設定された解析条件に基づいて分子動力学計算を行い、前記ポリマー粒子モデルの粒子が前記架橋剤粒子に所定距離以内に近づいた場合に当該粒子に対応する前記架橋確率で両者を結合させる反応処理を実行するステップと、を含む分子動力学計算用架橋粒子モデルの生成方法。 A method performed by a computer,
For each particle constituting the linear or branched polymer particle model, a predetermined crosslinking probability representing the probability of crosslinking with the crosslinking agent particle is set, and at least three consecutive particles are higher than the surrounding particles. Setting to preferentially crosslinked particles having a crosslinking probability;
A molecular dynamics calculation based on preset analysis conditions, and when the particles of the polymer particle model approach the cross-linking agent particles within a predetermined distance, a reaction that combines them with the cross-linking probability corresponding to the particles A method of generating a crosslinked particle model for molecular dynamics calculation, comprising: performing a process.
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