弾性および塑性異方性とバウシンガー効果を考慮した材料モデルによるスプリングバック予測精度向上 (高付加価値を実現する塑性加工システムとその加工事例 特集号)
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- 資料種別
- 記事
- 著者・編者
- 澄川 智史石渡 亮伸平本 治郎 他
- シリーズタイトル
- 並列タイトル等
- Improvement of Springback Prediction Accuracy Using Material Model Considering Elastoplastic Anisotropy and Bauschinger Effect
- タイトル(掲載誌)
- 塑性と加工 = Journal of the Japan Society for Technology of Plasticity : 日本塑性加工学会論文誌
- 巻号年月日等(掲載誌)
- 55(645):2014.10
- 掲載巻
- 55
- 掲載号
- 645
- 掲載ページ
- 949-953
- 掲載年月日(W3CDTF)
- 2014-10
- ISSN(掲載誌)
- 0038-1586
- ISSN-L(掲載誌)
- 0038-1586
- 出版事項(掲載誌)
- 東京 : 日本塑性加工学会 ; 1960-
- 出版地(国名コード)
- JP
- 本文の言語コード
- jpn
- 件名標目
- NDLC
- 対象利用者
- 一般
- 所蔵機関
- 国立国会図書館
- 請求記号
- Z17-218
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館雑誌記事索引
- 書誌ID(NDLBibID)
- 025878387
- 整理区分コード
- 632
- 要約等
- Springback prediction is necessary for the application of high-strength steel sheets to automotive parts. The accuracy of springback prediction depends on the material model, which describes the deformation behavior of steel sheets. In this research, material model taking into consideration important material behaviors (Bauschinger effect, average Young’s modulus, elastic anisotropy and plastic anisotropy) was developed and implemented into FEM software. Moreover, springback analyses were carried out for curved hat-shaped parts made of high-strength steel sheets. As a result, the effects of each material behavior on springback were clarified. It was found that not only the Bauschinger effect and average Young’s modulus but also elastic and plastic anisotropies influenced the result of springback prediction, particularly in the case of anisotropic material. Springback analysis taking into consideration all four material behaviors yielded better springback prediction accuracy than those of conventional analyses.
- DOI
- 10.9773/sosei.55.949
- オンライン閲覧公開範囲
- インターネット公開
- 連携機関・データベース
- 科学技術振興機構 : J-STAGE
- 要約等
- Springback prediction is necessary for the application of high-strength steel sheets to automotive parts. The accuracy of springback prediction depends on the material model, which describes the deformation behavior of steel sheets. In this research, material model taking into consideration important material behaviors (Bauschinger effect, average Young’s modulus, elastic anisotropy and plastic anisotropy) was developed and implemented into FEM software. Moreover, springback analyses were carried out for curved hat-shaped parts made of high-strength steel sheets. As a result, the effects of each material behavior on springback were clarified. It was found that not only the Bauschinger effect and average Young’s modulus but also elastic and plastic anisotropies influenced the result of springback prediction, particularly in the case of anisotropic material. Springback analysis taking into consideration all four material behaviors yielded better springback prediction accuracy than those of conventional analyses.
- DOI
- 10.9773/sosei.55.949
- 関連情報(URI)
- 参照
- 板材成形プロセッシング計算力学ホットスタンプ用Zn-Niめっき鋼板の疲労特性に及ぼすマイクロクラック深さの影響Effect of Micro-Crack Depth on Fatigue Property in Zn–Ni Coated Press Hardened Steel
- 参照
- Elastic–plastic behavior of steel sheets under in-plane cyclic tension–compression at large strainSimulation of Springback in V-bending Process by Elasto-Plastic Finite Element Method with Consideration of Bauschinger EffectPlane stress yield function for aluminum alloy sheets—part 1: theoryA theory of the yielding and plastic flow of anisotropic metalsA Model of Large-Strain Cyclic Plasticity and its Application to Springback SimulationAdvanced Issues in springbackEvaluating the significance of hardening behavior and unloading modulus under strain reversal in sheet springback predictionExtension of quasi-plastic–elastic approach to incorporate complex plastic flow behavior – application to springback of advanced high-strength steelsOn the modelling of the bending–unbending behaviour for accurate springback predictionsA model of large-strain cyclic plasticity describing the Bauschinger effect and workhardening stagnation
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- Japan Link Center雑誌記事索引データベースCrossrefCiNii ArticlesCrossrefCrossrefCrossrefCrossref
- 書誌ID(NDLBibID)
- 025878387
- NII論文ID
- 130004705483