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弾性および塑性異方性...

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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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)

Call No. (NDL)
Z17-218
Bibliographic ID of National Diet Library
025878387
Material type
記事
Author
澄川 智史ほか
Publisher
東京 : 日本塑性加工学会 ; 1960-
Publication date
2014-10
Material Format
Paper
Journal name
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 55(645):2014.10
Publication Page
p.949-953
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Bibliographic Record

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Paper

Material Type
記事
Author/Editor
澄川 智史
石渡 亮伸
平本 治郎 他
Alternative Title
Improvement of Springback Prediction Accuracy Using Material Model Considering Elastoplastic Anisotropy and Bauschinger Effect
Periodical title
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
No. or year of volume/issue
55(645):2014.10
Volume
55
Issue
645
Pages
949-953
Publication date of volume/issue (W3CDTF)
2014-10
ISSN (Periodical Title)
0038-1586
ISSN-L (Periodical Title)
0038-1586
Publication (Periodical Title)
東京 : 日本塑性加工学会 ; 1960-
Place of Publication (Country Code)
JP
Text Language Code
jpn
NDLC
Target Audience
一般
Holding library
国立国会図書館
Call No.
Z17-218
Data Provider (Database)
国立国会図書館 : 国立国会図書館雑誌記事索引
Bibliographic ID (NDL)
025878387
Bibliographic Record Category (NDL)
632

Digital

Summary, etc.
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
Access Restrictions
インターネット公開
Data Provider (Database)
科学技術振興機構 : J-STAGE

Digital

Summary, etc.
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.
Is Referenced By
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
References
Elastic–plastic behavior of steel sheets under in-plane cyclic tension–compression at large strain
Simulation of Springback in V-bending Process by Elasto-Plastic Finite Element Method with Consideration of Bauschinger Effect
Plane stress yield function for aluminum alloy sheets—part 1: theory
A theory of the yielding and plastic flow of anisotropic metals
A Model of Large-Strain Cyclic Plasticity and its Application to Springback Simulation
Advanced Issues in springback
Evaluating the significance of hardening behavior and unloading modulus under strain reversal in sheet springback prediction
Extension of quasi-plastic–elastic approach to incorporate complex plastic flow behavior – application to springback of advanced high-strength steels
On the modelling of the bending–unbending behaviour for accurate springback predictions
A model of large-strain cyclic plasticity describing the Bauschinger effect and workhardening stagnation
Data Provider (Database)
国立情報学研究所 : CiNii Research
Bibliographic ID (NDL)
025878387
NAID
130004705483