空氣壓縮機(jī)設(shè)計(jì)外文翻譯--一維多級(jí)軸流壓縮機(jī)性能的解析優(yōu)化-其他專業(yè)-資料下載頁(yè)
2025-01-19 01:09本頁(yè)面
【導(dǎo)讀】本方程和多級(jí)壓縮機(jī)的解析關(guān)系。用數(shù)值實(shí)例來說明多級(jí)壓縮機(jī)的各種參數(shù)對(duì)最優(yōu)性能的影響。軸流式壓縮機(jī)的設(shè)計(jì)是工藝技術(shù)的一部分，如果缺乏準(zhǔn)確的預(yù)測(cè)將影響設(shè)計(jì)過程。得新進(jìn)展的數(shù)值優(yōu)化技術(shù)，以完成單級(jí)和多級(jí)軸流式壓縮機(jī)的設(shè)計(jì)。機(jī)的平面和三維優(yōu)化設(shè)計(jì)。陳林根等人也采用了類似的想法，通過假設(shè)一個(gè)固定的軸向速度分布的優(yōu)化設(shè)。計(jì)提出了設(shè)計(jì)單級(jí)軸流式壓縮機(jī)一種數(shù)學(xué)模型。角形見圖2和圖3，相應(yīng)的中間級(jí)的具體焓熵圖如圖4，按一維理論作級(jí)的性能計(jì)算。一般情況列出軸流壓縮機(jī)中氣體流動(dòng)的能量方程和連續(xù)方程,工作流體和葉輪的速度。·相對(duì)于穩(wěn)定回轉(zhuǎn)的動(dòng)葉、靜葉和導(dǎo)向葉片機(jī)構(gòu),氣體流動(dòng)是穩(wěn)定的；·流體是可壓縮、無黏性和不導(dǎo)熱的；·在實(shí)際工質(zhì)的情況下,壓縮過程是均勻的；·本級(jí)出口絕對(duì)氣流角為下一級(jí)進(jìn)口角絕對(duì)氣流角；·忽略進(jìn)出口管道的影響。，級(jí)組等熵比壓縮功為*sch,根據(jù)定義,多級(jí)壓縮機(jī)通流部分滯止等熵效
【正文】 in Table 2. It can be seen that the optimization procedure is effective and practical. The calculations show that the optimal stagnation isentropic efficiency *sopt? is an increasing function of the work coefficient and a decreasing function of the flow coefficient. The effect of the work coefficient on the optimal stagnation isentropicefficiency is larger than that of the flow coefficient. Also for various values你 of the flow coefficients and work coefficients, the optimal absolute exitangle of the last stage always approaches 90? . 6. Conclusion In this paper, the efficiency optimization of a multistage axialflow pressor for a fixed flow shape has been studied using onedimensional flowtheory. The universal characteristic relation of the pressor be haviour is obtained. Numerical examples are presented. The results can provide some guidance as to the performance analysis and optimization of the multistage pressor. This is a preliminary study. It will be necessary to use multiobjective numerical optimization techniques [11–13,20,21,25–29] and artificial neural work algorithms [10,19,30,31] for practical pressor optimization. References [1] Wall RA. Axialflow pressor performance prediction. AGARDLS83 1976(June):–. [2] Gu C, Miao Y. Blade design of axialflow pressors by the method of optimal control theory. Trans ASME, J Turbomach 1987。109(1):99–107. [3] Hearsey RM. Numerical optimization of axial pressor design. ASME paper No. 89GT14. [4] Tuccille R. A proposal for optimized design of multistage pressors. ASME paper No. 89GT34. [5] Lim JS, Chung MK. Designpoint optimization of an axialflow pressor stage. Int J Heat Fluid Flow 1989。10(1):48–58. [6] Massardo A, Statta A. Axialflow pressor design optimization: Part Ipitchline analysis and multivariable objective function influence. Trans ASME, J Turbomach 1990。112(2):339–404. [7] Massardo A, Statta A, Marini M. Axialflow pressor design optimization: Part IIthroughflow analysis. Trans ASME, J Turbomach 1990。112(2):405–11. [8] Egorov IN, Fomin VN. Numerical method of optimization of a multistage axial pressor. Experimental and Computational Aerothermodynamics of Internal Flows. World Publishing Corporation。 1990, p. 495–503. [9] Tuccille R. Optimal design of axialflow pressor. ASME IGTI 1990。5:227–33. [10] Geoge H, Stuart B. Preliminary design of axial pressors using artificial intelligence and numericaloptimization techniques. ASME paper No. 91GT334. [11] Chen L. A brief introduction of multiobjective optimization for an axialflow pressorstage. Gas Turbine Technol 1992。5(1):11–3 [in Chinese]. [12] Egorov IN, Krekinin GV. Multicriterion stochastic optimization of an axial pressor. ASME IGTI 1992。7:563–70. [13] Egorov IN. Optimization of multistage axial pressor in a gasturbine engine system. ASME paper, 92GT424 1992. [14] Chen L. Some new developments on the optimal design of turbomachinery during the past decade. J Eng Thermal Energy Power 1992。7(4):214–21 [in Chinese]. [15] Egorov IN. Deterministic and stochastic optimization of a variable axialpressor. ASME paper No. 93GT397. [16] Sun J, Elder RL. Numerical optimization of a stator vane setting in multistage axialflow pressors. Proc Inst Mech Eng 1998。212(A4):247–59. [17] Calvert WJ, Ginder RB. Transonic fan and pressor design. Proc Inst Mech Eng 1999。213(C5):419–36. [18] Gallimore SJ. Axialflow pressor design. Proc Inst Mech Eng 1999。213(C5):437–49. [19] Li J, Satofuka N. Optimization design of a pressor cascade airfoil using a Navier–Stokes solver and geic algorithms. Proc Inst Mech Eng 2021。216(A2):195–202. [20] Benini E. Threedimensional multiobjective design optimization of a transonic pressor rotor. AIAA J Propul Power 2021:559–65. [21] Chen L, Sun F, Wu C. Optimal design of subsonic axialflow pressor stage. Appl Energy 2021。80(2):187–95. [22] Chen L, Luo J, Sun F, Wu C. Optimized efficiency axialflow pressor. Appl Energy 2021。81(4):409–19. [23] Boiko AB. Optimal Design for FlowPath of Axial Turbines. Harkov: Higher Education Press。 1982 [in Russian]. [24] Casey MV. A meanline prediction method for estimating the performance characteristics of an axial pressor stage. Proc ImechE 1987, Turbomach Efficiency Predict Improv 1987:145–55. [25] Chen L, Wu C, Blank D, Sun F. Preliminary design optimization of a marine dual tandem gear. Int J Pow Energy Syst 1997。17(3):218–22. [26] Chen L, Wu C, Ni N, Cao Y, Sun F. Optimal design of centrifugal pressor stages. Int J Pow Energy Syst 1998。18(1):12–5. [27] Chen L, Wu C, Blank D, Sun F. The multiobjective optimal design method for a radialaxial flow turbine with the criteria of optimal twist at the outlet of blade. Int J Pow Energy Syst 1998。18(1):16–20. [28] Chen L, Zhang J, Wu C, Blank D, Sun F. Analysis of multiobjective decisionmaking for marine steam turbine. Int J Pow Energy Syst 1998。18(2):96–101. [29] Chen L, Zhou S, Wu C, Sun F. Preliminary design optimization of a steam generator. Energy Convers Manage 2021。43(13):1651–61. [30] Lin BJ, Hung CI, Tang EJ. An optimal design of axialflow fan blades by the machining method and an artificial neuralwork. Proc Inst Mech Eng 2021。216(C3):367–76. [31] Qin X, Chen L, Sun F, Wu C. Efficiency optimization for an axialflow steamturbine stage using geic algorithm. Appl Therm Eng 2021。23(18):2307–16. L. Chen et al. / Applied Energy 85 (2021) 625–633 633
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