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題 名 | 銲接熱影響區韌性因子人工神經網絡模型的建立=The Creation of Artificial Neural Network Model on HAZ-Toughness Factor |
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作 者 | 張文鉞; 喻群; 孫小兵; | 書刊名 | 銲接與切割 |
卷 期 | 7:2 1997.03[民86.03] |
頁 次 | 頁12-15 |
分類號 | 472.14 |
關鍵詞 | 銲接熱影響區; 韌性因子; 人工神經網絡; HAZ; Toughness factor; Artificial neural network; |
語 文 | 中文(Chinese) |
中文摘要 | 銲接熱影響區的韌性對於低合金鋼的銲接質量來講是十分重要的。本文將銲接熱 影響區 (HAZ) 的沖擊韌性值作為韌性因子的內容, 採用人工神經網絡方法, 以 15MnVN、 921A、14MnMoNbB 和 18MnNoNb 四種低合金鋼銲接 HAZ 的沖擊韌性為依據, 建立了銲接熱 影響區韌性因子的人工神經網絡模型。它利用原始的實驗數據建立模型,不作任何假設,同 時,模型具有較好的學習功能。 |
英文摘要 | The toughness of HAZ is very important to the welding quality of HSLA steel. In this paper the values of α�R of HAZ were considered as toughness factor and four kinds of HSLA steel (15MnVN, 921A, 14MnMoNbB, 18MnMoNb) were studied. Under the help of Neural Network method, a artificial neural network model on HAZ-toughness factor was created. Without any hypnosis, it was created under the first-hand data and had perfect study ability. |
本系統中英文摘要資訊取自各篇刊載內容。