南京理工大学机械工程学院,江苏,南京,210094
收稿:2025-10-13,
网络首发:2026-03-02,
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孙鵾鹏,徐亚栋,缪伟,等. 考虑动力效应的制退机液压阻力计算模型及验证[J/OL]. 兵工学报, 2026(2026-03-02). https://doi.org/10.12382/bgxb.2025.0912.
SUN K P, XU Y D, MIAO W, et al. Dynamic-effect hydraulic resistance model and validation for recoil mechanisms[J/OL]. Acta Armamentarii, 2026(2026-03-02). https://doi.org/10.12382/bgxb.2025.0912. (in Chinese)
孙鵾鹏,徐亚栋,缪伟,等. 考虑动力效应的制退机液压阻力计算模型及验证[J/OL]. 兵工学报, 2026(2026-03-02). https://doi.org/10.12382/bgxb.2025.0912. DOI:
SUN K P, XU Y D, MIAO W, et al. Dynamic-effect hydraulic resistance model and validation for recoil mechanisms[J/OL]. Acta Armamentarii, 2026(2026-03-02). https://doi.org/10.12382/bgxb.2025.0912. (in Chinese) DOI:
传统制退机液压阻力计算方法因忽略流体动力效应,直接采用制退机1腔压力计算,存在系统性误差。为此,本文基于动量定理建立了考虑流体动力效应的液压阻力理论计算模型。为验证模型,首先构建了制退机三维计算流体力学(Computational Fluid Dynamics,CFD)模型,并通过实弹射击试验数据对其进行了校验。随后,利用一组CFD结果修正理论模型,其余数据进行独立验证。结果表明,理论计算结果与CFD数据高度一致,决定系数R2均大于0.995,归一化误差主要在±5%以内。进一步设计并实施了液压阻力直接测量试验,以直观量化动力效应对液压阻力计算的影响。研究结果表明,传统方法在后坐中期阶段会系统性高估液压阻力,其最大偏差可达21.5%。所提出的理论计算模型能够有效消除动力效应引起的计算误差,并可修正关键结构参数,为发射动力学分析与制退机设计提供了更可靠的液压阻力计算方法。
Conventional hydraulic resistance calculation methods for recoil brakes introduce systematic errors by neglecting fluid dynamic effects and directly using the pressure in Chamber 1 for resistance evaluation. To address this issue
a theoretical calculation model incorporating fluid dynamic effects is developed based on the momentum theorem.To validate the proposed model
a three-dimensional computational fluid dynamics (CFD) model of the recoil brake is first established and calibrated using live-fire experimental data. Subsequently
one set of CFD results is employed to calibrate the theoretical model
while the remaining data are used for independent validation. The results demonstrate excellent agreement between the theoretical predictions and CFD data
with coefficients of determination R² exceeding 0.995and normalized errors mainly within ±5%.Furthermore
a direct hydraulic resistance measurement experiment is designed and conducted to quantitatively assess the influence of dynamic effects on hydraulic resistance calculations. The results indicate that the conventional method systematically overestimates the hydraulic resistance during the mid-recoil stage
with a maximum deviation of up to 21.5%. The proposed theoretical model effectively eliminates the errors induced by dynamic effects and enables the correction of key structural parameters
providing a more reliable hydraulic resistance calculation approach for firing dynamics analysis and recoil brake design.
钱林方,徐亚栋,陈龙淼. 车载炮设计理论和方法[M]. 北京:科学出版社,2022.
QIAN L F, XU Y D, CHEN L M. Design theory and methods of vehicle-mounted howitzer[M]. Beijing: Science Press, 2022. (in Chinese)
谈乐斌,张相炎,潘孝斌,等. 火炮概论[M]. 北京:北京理工大学出版社,2014.
TAN L B, ZHANG X Y, PAN X B, et al. Introduction to artillery[M]. Beijing: Beijing Institute of Technology Press, 2014. (in Chinese)
赵纪华. 火炮最优射击稳定性设计研究[J]. 振动与冲击,2010, 29(11): 91-93.
ZHAO J H. Study on design of optimal firing stability of gun[J]. J. Vib. Shock, 2010, 29(11): 91-93. (in Chinese)
宗士增,钱林方,徐亚栋. 火炮反后坐装置动力学耦合分析与优化[J]. 兵工学报,2007, (3): 272-275.
ZONG S Z, QIAN L F, XU Y D. Dynamic coupling analysis and optimization of gun recoil mechanism[J]. Acta Armamentarii, 2007, (3): 272-275. (in Chinese)
周乐,杨国来,葛建立,等. 基于遗传算法的火炮反后坐装置结构多目标优化研究[J]. 兵工学报,2015, 36(3): 433-436.
ZHOU L, YANG G L, GE J L, et al. Structural multi-objective optimization of artillery recoil mechanism based on genetic algorithm[J]. Acta Armamentarii, 2015, 36(3): 433-436. (in Chinese)
LI R, SUN Q Z, ZHANG J, et al. Multiple attribute decision making with interval uncertainty for artillery recoil resistance[J]. Trans. FAMENA, 2020, 44(3): 59-71.
GUO S Q, HOU B L. Simulation and parameters intelligent optimization of soft recoil system[C]//2020 Chinese Automation Congress (CAC). Shanghai, China: IEEE, 2020: 3663-3668.
潘孝斌,宋彦明,谈乐斌. 筒壁沟槽式制退机主流液压阻力系数分析[J]. 振动与冲击,2016, 35(17): 146-150.
PAN X B, SONG Y M, TAN L B. Analysis on mainstream hydraulic resistance coefficient of cylinder wall groove recoil mechanism[J]. J. Vib. Shock, 2016, 35(17): 146-150. (in Chinese)
BAO D, HOU B L. Parameters identification of a cannon counter-recoil mechanism based on PSO and interval analysis theory[J]. Vibroeng. Procedia, 2018, 20: 248-253.
赵伟,侯保林,鲍丹. 改进型免疫克隆布谷鸟算法求解软后坐火炮多参数辨识[J]. 振动与冲击,2023, 42(21): 43-51.
ZHAO W, HOU B L, BAO D. Multi-parameter identification of soft recoil artillery launch process using IICCA[J]. J. Vib. Shock, 2023, 42(21): 43-51. (in Chinese)
WANG L Q, YANG G, XIAO H, et al. Interval optimization for structural dynamic responses of an artillery system under uncertainty[J]. Eng. Optim., 2020, 52(2): 343-366.
XU F J, YANG G L, WANG L Q, et al. Artillery structural dynamic responses optimization based on Stackelberg game method[J]. J. Low Freq. Noise Vib. Active Control, 2022, 41(1): 140-159.
CHARTON H, PERRET C, PHAN H T. Analysis of supersonic flows inside a steam ejector with liquid–vapor phase change using CFD simulations[J]. Thermo, 2024, 4(1): 1-15.
SUN Y Z, QIN J Q, DI C C, et al. Simulation analysis on interior flow field of recoil brake based on dynamic mesh[J]. Advanced Materials Research, 2013, 765: 427-430.
张晓东,张培林,傅建平,等. 基于动网格的火炮制退机内部流场数值模拟[J]. 南京理工大学学报(自然科学版),2010, 34(4): 533-536.
ZHANG X D, ZHANG P L, FU J P, et al. Numerical simulation of flow field in gun recoil mechanism based on dynamic mesh[J]. J. Nanjing Univ. Sci. Technol., 2010, 34(4): 533-536. (in Chinese)
ELSAADY W A, IBRAHIM A Z, ABDALLA A A. Numerical simulation of flow field in coaxial tank gun recoil damper[J]. Advances in Military Technology, 2019, 14(1): 139-150.
JEVTIĆ D, MICKOVIĆ D, ELEK P, et al. Analysis of the influence parameters on the pressure field in the hydraulic brake[C]//Proceedings of the 9th International Scientific Conference OTEH 2020. Belgrade, Serbia: Military Technical Institute, 2020.
丁传俊,张相炎. 制退机内部流场空化特性数值仿真[J]. 机械制造与自动化,2015, 44(5): 93-95.
DING C J, ZHANG X Y. Numerical simulation of interior flow field cavitation of gun recoil brake[J]. Mach. Build. Autom., 2015, 44(5): 93-95. (in Chinese)
张晓东,张培林,傅建平,等. 基于CFD与协同仿真的火炮后坐分析计算[J]. 弹道学报,2010, 22(3): 30-34.
ZHANG X D, ZHANG P L, FU J P, et al. Analysis and calculation of gun recoil based on CFD and collaborative simulation[J]. J. Ballist., 2010, 22(3): 30-34. (in Chinese)
张晓东,张培林,傅建平,等. k-ε双方程湍流模型对制退机内流场计算的适用性分析[J]. 爆炸与冲击,2011, 31(5): 516-520.
ZHANG X D, ZHANG P L, FU J P, et al. Applicability analysis of k-ε turbulence models on numerical simulation of internal flow field of recoil mechanism[J]. Explos. Shock Waves, 2011, 31(5): 516-520. (in Chinese)
史兴亮,潘孝斌,高启轩. 阀控式制退机缓冲性能研究[J]. 兵器装备工程学报,2022, 43(9): 201-205.
SHI X L, PAN X B, GAO Q X. Study on cushioning performance of a valve-controlled recoil mechanism[J]. J. Ord. Equip. Eng., 2022, 43(9): 201-205. (in Chinese)
PENG S J, ZHOU C, YU C G. The numerical simulation of three-dimensional dynamic-mesh flow field of a hydraulic buffer[J]. Adv Mat Res, 2012, 588: 1264-1268.
KURNIAWAN R, PUDJAPRASETYA S R, SULVIANURI R. Numerical study of two-dimensional sediment transport using momentum-conserving staggered grid scheme[J]. J. Comput. Sci., 2025, 92: 102714.
SLODIČKA M. Reynolds Transport Theorem for dualities with jumping coefficients[J]. J. Comput. Appl. Math., 2026, 475: 117003.
钱林方,梁辰,陈光宋. 大口径火炮软后坐制退机流场力学机理研究[J]. 中国科学:技术科学,2025, 55(8): 1281-1296.
QIAN L F, LIANG C, CHEN G S. Flow field mechanics mechanism of large-caliber soft recoil artillery brakes[J]. Sci. Sin. Technol., 2025, 55(8): 1281-1296. (in Chinese)
MONAGHAN J J. Simulating free surface flows with SPH[J]. J. Comput. Phys., 1994, 110(2): 399-406.
LI G D, LYU W M, LI Y Q. Research on the impact of surface tension on phase change mass transfer in the Schnerr-Sauer model and its effects on cavitation simulation in pump[J]. Chem. Eng. Res. Des., 2025, 218: 780-793.
LIU M Y, JIANG C, KHOO B C, et al. A cell-based smoothed finite element model for the analysis of turbulent flow using realizable k-ε model and mixed meshes[J]. J. Comput. Phys., 2024, 501: 112783.
PRIYADUMKOL J, MUANGPUT B, NAMCHANTHRA S, et al. CFD modelling of vertical-axis wind turbines using transient dynamic mesh towards lateral vortices capturing and Strouhal number[J]. Energy Convers. Manag. X, 2025, 26: 101022.
FRANZ A, WEI H, GUASTONI L, et al. PICT–A differentiable, GPU-accelerated multi-block PISO solver for simulation-coupled learning tasks in fluid dynamics[J]. J. Comput. Phys., 2026, 544: 114433.
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