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多路閥閥芯節(jié)流槽拓?fù)浣Y(jié)構(gòu)組合的神經(jīng)網(wǎng)絡(luò)模型

發(fā)布時(shí)間:2018-02-15 10:46

  本文關(guān)鍵詞: 多路閥 節(jié)流槽 拓?fù)浣Y(jié)構(gòu) 神經(jīng)網(wǎng)絡(luò) 數(shù)字化設(shè)計(jì) 出處:《西安交通大學(xué)學(xué)報(bào)》2016年06期  論文類型:期刊論文


【摘要】:針對(duì)多路閥設(shè)計(jì)中閥芯節(jié)流槽結(jié)構(gòu)的拓?fù)湫螒B(tài)表達(dá)和其流固耦合響應(yīng)的大組合、大自由度解析問題,提出多路閥閥芯節(jié)流槽拓?fù)浣Y(jié)構(gòu)組合的神經(jīng)網(wǎng)絡(luò)模型。在利用多路閥動(dòng)態(tài)特性臺(tái)架實(shí)驗(yàn)驗(yàn)證其三維流體解析結(jié)果的基礎(chǔ)上,將節(jié)流槽拓?fù)浣Y(jié)構(gòu)分類為由半圓槽、U型槽、圓孔等結(jié)構(gòu)的參數(shù)化組合構(gòu)成,通過正交實(shí)驗(yàn)法得到各參數(shù)組合條件下的多路閥三維流體解析響應(yīng),作為反向傳播神經(jīng)網(wǎng)絡(luò)的訓(xùn)練樣本,實(shí)現(xiàn)其節(jié)流槽拓?fù)浣Y(jié)構(gòu)組合的神經(jīng)網(wǎng)絡(luò)表達(dá);采用進(jìn)化神經(jīng)網(wǎng)絡(luò)優(yōu)化訓(xùn)練過程的初始權(quán)重和閾值,優(yōu)化后的神經(jīng)網(wǎng)絡(luò)能夠?qū)Ψ怯?xùn)練樣本集合的多路閥三維流體解析響應(yīng)實(shí)現(xiàn)準(zhǔn)確預(yù)測(cè)。研究結(jié)果表明,此模型為閥芯節(jié)流槽結(jié)構(gòu)設(shè)計(jì)中拓?fù)湫螒B(tài)表達(dá)提供了一種新的思路,對(duì)多路閥數(shù)字化設(shè)計(jì)具有實(shí)際意義。
[Abstract]:Aiming at the large combination of the topology form expression of the valve core throttle structure and the fluid-structure coupling response in the design of the multi-way valve, a large degree of freedom analytical problem is proposed. A neural network model for the topology combination of valve core throttle is presented. Based on the experimental results of three-dimensional fluid analysis of the valve, the topology of the throttle is classified as a semicircular groove with U-shaped groove. The parameterized composition of circular orifice and other structures is obtained by orthogonal experiment. The three-dimensional fluid analytical response of multi-way valve under the condition of each parameter combination is obtained, which is used as the training sample of backpropagation neural network. The neural network representation of the topological structure combination of the throttling slot is realized, and the initial weight and threshold of the training process are optimized by the evolutionary neural network. The optimized neural network can accurately predict the three-dimensional fluid analytical response of multi-way valve with non-training sample set. The research results show that the model provides a new way for the expression of topological shape in the design of valve core throttle structure. It has practical significance for digital design of multi-way valve.
【作者單位】: 同濟(jì)大學(xué)機(jī)械與能源工程學(xué)院;
【基金】:工業(yè)和信息化部2011年科技成果轉(zhuǎn)化資助項(xiàng)目(財(cái)建〔2011〕30號(hào))
【分類號(hào)】:TH137.52

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