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高能噴丸處理后TC17合金表層顯微硬度預(yù)測模型(英文)

發(fā)布時間:2018-03-04 02:34

  本文選題:TC合金 切入點:高能噴丸 出處:《Transactions of Nonferrous Metals Society of China》2017年09期  論文類型:期刊論文


【摘要】:通過高能噴丸對TC17合金進(jìn)行表面處理,噴丸空氣壓力為0.35~0.55 MPa,噴丸時間為15~60 min。測量了TC17合金高能噴丸處理后最表層至基體的顯微硬度。測量結(jié)果表明,顯微硬度隨深度的增大而逐漸減小,且不同深度處顯微硬度隨空氣壓力與噴丸時間的變化各不相同。建立了TC17合金高能噴丸處理后表層顯微硬度的模糊神經(jīng)網(wǎng)絡(luò)模型。借助該模型,顯微硬度的預(yù)測值與測量值的最大相對誤差為8.5%,平均誤差為3.2%;谀:窠(jīng)網(wǎng)絡(luò)模型,研究了空氣壓力與噴丸時間對TC17合金高能噴丸處理后不同深度處顯微硬度的影響。結(jié)果表明,細(xì)化層的脫落與連續(xù)的晶粒細(xì)化作用之間有顯著的交互作用。
[Abstract]:The surface of TC17 alloy was treated by high energy shot peening. The air pressure of shot peening was 0.35 ~ 0.55 MPa and shot peening time was 1560 min. The microhardness from the topmost layer to matrix of TC17 alloy was measured after high energy shot peening treatment. The microhardness decreases with the increase of depth. The variation of microhardness at different depth with air pressure and shot peening time is different. A fuzzy neural network model of surface microhardness of TC17 alloy after high energy shot peening is established. The maximum relative error between the predicted value and the measured value of microhardness is 8.5, and the average error is 3.2. Based on the fuzzy neural network model, The effects of air pressure and shot peening time on microhardness at different depths after high energy shot peening of TC17 alloy were studied. The results show that there is a significant interaction between the shedding of the fine layer and the continuous grain refinement.
【作者單位】: 西北工業(yè)大學(xué)材料學(xué)院;
【基金】:Project (51475375) supported by the National Natural Science Foundation of China
【分類號】:TG146.23;TG668

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