Transactions of Nonferrous Metals Society of China The Chinese Journal of Nonferrous Metals

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中國有色金屬學報

ZHONGGUO YOUSEJINSHU XUEBAO

第9卷    第3期    總第32期    1999年9月

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文章編號:1004-0609(1999)03-0586-04
金屬液體凝固中直接擠壓工藝的神經(jīng)網(wǎng)絡(luò)
齊樂華  侯俊杰  楊    方  李賀軍

(西北工業(yè)大學機械系,西安 710072)

摘 要: 金屬液體凝固中直接擠壓工藝是近幾年發(fā)展起來的一種高效成形管、棒、型材新工藝。利用人工神經(jīng)網(wǎng)絡(luò)方法研究了該工藝的參數(shù)協(xié)調(diào)和變形力預(yù)測等問題,建立了神經(jīng)網(wǎng)絡(luò)預(yù)測模型。實驗結(jié)果與預(yù)測值吻合良好,從而為預(yù)測和控制該工藝成形質(zhì)量提供了有效的手段。

 

關(guān)鍵字: 神經(jīng)網(wǎng)絡(luò);參數(shù)協(xié)調(diào);液態(tài)擠壓

Application of artificial neural network in process of direct extrusion during solidification of liquid metal
Qi Lehua, Hou Junjie, Yang Fang, Li Hejun

Department of Mechanics, Northwestern Polytechnical University, Xi'an 710072, P.R.China

Abstract:  The direct extrusion during solidification of liquid metal is a kind of new process for forming tube, bar or shaped products. This process is distinguished for its characteristics of high efficiency and energy saving. The method of artificial neural network was utilized to research the coordinating of the process parameters and the prediction of the forming pressure, and the model was established. The predicted values were in accordance with the experimental results. So an effective measure for foreseeing and controlling the forming quality of the process was provided.

 

Key words: neural network; parameters coordination; liquid extrusion 

ISSN 1004-0609
CN 43-1238/TG
CODEN: ZYJXFK

ISSN 1003-6326
CN 43-1239/TG
CODEN: TNMCEW

主管:中國科學技術(shù)協(xié)會 主辦:中國有色金屬學會 承辦:中南大學
湘ICP備09001153號 版權(quán)所有:《中國有色金屬學報》編輯部
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