アルミニウム合金ダイカストの疲労強度に対する 鋳巣の定量的影響評価(第2報,鋳巣まわり弾性応力場に基づく疲労強度予測)

• Material Type: 文書・図像類
• Title: アルミニウム合金ダイカストの疲労強度に対する 鋳巣の定量的影響評価(第2報,鋳巣まわり弾性応力場に基づく疲労強度予測)
• Author/Editor: 桑水流, 理; 村田, 陽三; 宇都宮, 登雄; 半谷, 禎彦; 矢野, 貴之; ビダハル, スジット; 椎原, 良典; 北原, 総一郎; 吉川, 暢宏
• Author Heading: 桑水流, 理; 村田, 陽三; 宇都宮, 登雄; 半谷, 禎彦; 矢野, 貴之; ビダハル, スジット; 椎原, 良典; 北原, 総一郎; 吉川, 暢宏
• Publication, Distribution, etc.: 日本機械学会
• Publication Date: 2011-01
• Publication Date (W3CDTF): 2011-01
• Alternative Title: Quantitative Evaluation of Porosity Effect on Fatigue Strength of High Pressure Die Cast Aluminum Alloy (Part 2, Fatigue Strength Prediction Based on Elastic Stress Field around Pores)
• Periodical title: 日本機械学會論文集. A編
• No. or year of volume/issue: 77 773
• Volume: 77
• Issue: 773
• Pages: 48-57
• Text Language Code: jpn
• Subject Heading: Aluminum Alloy; Fatigue; Finite Element Method; Stress Concentration; Die Cast; Casting Defect; Porosity; Image-Based Modeling
• Target Audience: 一般
• Note (General): An empirical prediction method for the fatigue strength considering the effect of porosity was proposed. We prepared six types of specimen of ADC12 high pressure die cast aluminum alloy, where the casting condition was different to each other, and obtained the S-N curve for each specimen type from the fatigue test. The porosity volume fraction for all specimens was calculated using the X-ray CT images. The image-based finite element analysis was also carried out for all specimens to evaluate the maximum first principal stress corresponding to the nominal stress amplitude in the fatigue test. The maximum stress was referred to as the local stress amplitude, and its ratio to the nominal stress amplitude was defined as the local stress concentration factor. We modified the S-N data by using the local stress amplitude instead of the nominal stress amplitude, and obtained a single master S-N curve. From the statistical investigation, the local stress concentration factor was found to be determined empirically by the porosity volume fraction. The relationship was identified by the least-square approximation. Consequently, we found that the fatigue strength was predicted from the porosity volume fraction via the local stress amplitude and the master S-N curve.
• Access Restrictions: 限定公開
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ