-1,預(yù)鍛尺寸985/610/475 mm,模具溫度280 ℃)。各參數(shù)對(duì)模擬結(jié)果的重要性順序如下:變形溫度>應(yīng)變速率>坯料形狀>>模具溫度。使用最佳參數(shù)組合獲得的實(shí)驗(yàn)結(jié)果與數(shù)值模擬結(jié)果吻合較好,表明該方法可以避免大量實(shí)驗(yàn)和數(shù)值模擬工作量,有效地控制超大型鍛件的載荷和微觀組織。"/>

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基于田口法的超大型渦輪盤鍛造工藝參數(shù)多目標(biāo)優(yōu)化
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重慶大學(xué) 材料科學(xué)與工程學(xué)院,重慶 400044

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基金項(xiàng)目:

National Key R&D Program Project Topic (2022YFB3705103), the Fundamental Research Funds for the Central Universities (2023CDJXY-020) and Chongqing Natural Science Foundation general project ( cstc2021jcyj-msxmX1085).


Multi-object Optimization of Forging Process Parameters for Super Large Turbine Disc Based on Taguchi Method
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College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China

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National Key R&D Program Project Topic (2022YFB3705103); Fundamental Research Funds for the Central Universities (2023CDJXY-020); Chongqing Natural Science Foundation General Project (cstc2021jcyj-msxmX1085)

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    摘要:

    直徑超過(guò)2 m的超大型渦輪盤的鍛造載荷接近甚至超過(guò)了國(guó)內(nèi)最大壓力機(jī)的極限(800 MN),是真正的極限制造。因此,保持良好的力學(xué)性能和控制鍛造載荷是超大型渦輪盤熱鍛生產(chǎn)過(guò)程中必須同時(shí)兼顧的2個(gè)因素?;谔锟诜ㄔO(shè)計(jì)了25組不同的熱鍛參數(shù),采用SNR和ANOVA方法對(duì)有限元模擬結(jié)果進(jìn)行多目標(biāo)優(yōu)化分析,獲得了最優(yōu)鍛造載荷和最均勻細(xì)化的再結(jié)晶組織,確定了極端制造條件下的最佳工藝參數(shù)組合(溫度1120 ℃,應(yīng)變速率0.06 s-1,預(yù)鍛尺寸985/610/475 mm,模具溫度280 ℃)。各參數(shù)對(duì)模擬結(jié)果的重要性順序如下:變形溫度>應(yīng)變速率>坯料形狀>>模具溫度。使用最佳參數(shù)組合獲得的實(shí)驗(yàn)結(jié)果與數(shù)值模擬結(jié)果吻合較好,表明該方法可以避免大量實(shí)驗(yàn)和數(shù)值模擬工作量,有效地控制超大型鍛件的載荷和微觀組織。

    Abstract:

    The forging load of super large turbine disc with a diameter over 2 m may approach or even surpass the limit of 800 MN of the largest press machine in China, which is the extreme manufacturing. Thus, maintaining good mechanical properties and controlling forging load are two key factors during the forging process of super large turbine disc. 25 groups of forging parameters was designed based on Taguchi method. The multi-objective optimization of finite element method simulation results was conducted by SNR and ANOVA methods. Results show that the most uniform and refined recrystallization microstructures are obtained under optimal forging load. The optimal combination of process parameters is determined under extreme manufacturing condition: temperature=1120 °C, strain rate=0.06 s-1, pre-forging size=985/610/475 mm, and die temperature=280 °C. The order of importance of each parameter to the simulation results is as follows: temperature>strain rate>billet shape>>die temperature. The experimental results obtained under the optimal parameters combination show good agreement with the simulated results, which demonstrates that this approach may be used to manage the load and microstructure of super large forgings while avoiding a significant number of experiments and numerical simulations.

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鄭德宇,夏玉峰,滕海灝,楊文彬,余盈燕.基于田口法的超大型渦輪盤鍛造工藝參數(shù)多目標(biāo)優(yōu)化[J].稀有金屬材料與工程,2024,53(7):1887~1896.[Zheng Deyu, Xia Yufeng, Teng Haihao, Yang Wenbin, Yu Yingyan. Multi-object Optimization of Forging Process Parameters for Super Large Turbine Disc Based on Taguchi Method[J]. Rare Metal Materials and Engineering,2024,53(7):1887~1896.]
DOI:10.12442/j. issn.1002-185X.20230637

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  • 收稿日期:2023-10-12
  • 最后修改日期:2024-05-30
  • 錄用日期:2024-01-05
  • 在線發(fā)布日期: 2024-07-16
  • 出版日期: 2024-07-12