書誌事項
- タイトル別名
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- Prediction of Interfacial Adhesion Strength in CFRTP considering Plasticity of Matrix Resin using Numerical Material Testing and Neural Network
抄録
<p>We propose a method for predicting the interfacial adhesion or bond strength of unidirectional carbon fiber reinforced thermoplastic plastics (UD-CFRTP) using a neural network (NN) and numerical material testing (NMT) that takes into account the plastic behavior of resin. In the proposed method, first, elastoplastic materials are assumed for the matrix resin, and macroscopic fracture strengths are calculated from NMTs that simulate off-axis tensile tests of UD-CFRTP. Next, a series of NMTs are performed by varying the interfacial adhesion strength between the fiber and resin, the fracture strength of the matrix resin, and the fiber volume fraction, respectively, and the relationships with the obtained macroscopic fracture strengths of UD-CFRTP are learned by the NN. Then, using the learned NNs, the microscopic interfacial adhesion strength and fracture strength of the matrix resin are predicted from the results of actual off-axis tensile tests of UDCFRTP. To verify the accuracy of the proposed method, NMTs are conducted using the predicted strengths, and the results are compared and evaluated with the results of actual off-axis tensile tests of UD-CFRTP.</p>
収録刊行物
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- 成形加工
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成形加工 35 (11), 404-410, 2023-10-20
一般社団法人 プラスチック成形加工学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390298200989506304
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- ISSN
- 18837417
- 09154027
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可