本文關鍵詞： 多路閥 節(jié)流槽 拓撲結構 神經(jīng)網(wǎng)絡 數(shù)字化設計　出處：《西安交通大學學報》2016年06期 　論文類型：期刊論文

【摘要】：針對多路閥設計中閥芯節(jié)流槽結構的拓撲形態(tài)表達和其流固耦合響應的大組合、大自由度解析問題,提出多路閥閥芯節(jié)流槽拓撲結構組合的神經(jīng)網(wǎng)絡模型。在利用多路閥動態(tài)特性臺架實驗驗證其三維流體解析結果的基礎上,將節(jié)流槽拓撲結構分類為由半圓槽、U型槽、圓孔等結構的參數(shù)化組合構成,通過正交實驗法得到各參數(shù)組合條件下的多路閥三維流體解析響應,作為反向傳播神經(jīng)網(wǎng)絡的訓練樣本,實現(xiàn)其節(jié)流槽拓撲結構組合的神經(jīng)網(wǎng)絡表達;采用進化神經(jīng)網(wǎng)絡優(yōu)化訓練過程的初始權重和閾值,優(yōu)化后的神經(jīng)網(wǎng)絡能夠對非訓練樣本集合的多路閥三維流體解析響應實現(xiàn)準確預測。研究結果表明,此模型為閥芯節(jié)流槽結構設計中拓撲形態(tài)表達提供了一種新的思路,對多路閥數(shù)字化設計具有實際意義。
[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】： 同濟大學機械與能源工程學院;
【基金】：工業(yè)和信息化部2011年科技成果轉化資助項目(財建〔2011〕30號)
【分類號】：TH137.52

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