Firing Process Modeling of a Soft Recoil Gun Based on Interval Uncertainty Parameter Identification

doi:10.12382/bgxb.2021.0885

Abstract

Abstract:

The soft recoil firing technology is a significant way to reduce the recoil force of a gun. A new multi-port recoil mechanism with a central port and variable-depth wall grooves is proposed to investigate the firing characteristics of a soft recoil gun. The flow distribution Bernoulli equation is established with CFD simulation to improve the model accuracy. On this basis, the interval uncertainty theory and genetic algorithm are applied to build the parameter identification model of the firing process. The typical parameters of the soft recoil gun are identified and obtained with the test data of the first round. The similarity rate between the simulation and test data can reach up to 92.78%. Moreover, the corresponding simulation results match the test data through the second and the third round. It is proved that the correct modeling and effective identification results provide theoretical guidance for the design of a soft recoil gun.

Key words: soft recoil gun, recoil mechanism, uncertainty, interval possibility

GUO Shuqi, HOU Baolin. Firing Process Modeling of a Soft Recoil Gun Based on Interval Uncertainty Parameter Identification[J]. Acta Armamentarii, 2023, 44(4): 1107-1117.

Figures/Tables 18

Fig.1 Structure diagram of a soft recoil gun

Fig.2 Structure diagram of preshooting mechanism

Fig.3 Structure diagram of recoil mechanism

Fig.4 Diagram of liquid flows in recoil mechanism

Fig.5 Fluent dynamic meshing

Fig.6 Set-forward resistance of recoil mechanism

Fig.7 Simulation results of liquid flow ratio

Fig.8 Simulation results of recoil mechanism force

Fig.9 Bore resultant force curve

Fig.10 Soft recoil gun test

Fig.11 Test data of firing

Fig.12 Firing speed curve of the first round

Table 1 Initial intervals of parameter identification

参数	初始区间	参数	初始区间
C	[1.5,3.0]	α	[-0.06,0.04]
K_b	[1.5,3]	μ	[0.5,0.9]
K_c	[1.5,3]	n	[1.10,1.45]
γ₁/mm^-2	[1000,3000]	X_f/m	[0.243,0.320]
γ₂/mm^-2	[1000,3000]	K_f	[1,2]

Table 2 Category 1 parameter identification results of the first round firing

第1类参数	辨识结果	S_g
n	1.3940	[0.5826,0.9363]

Table 3 Category 2 parameter identification results of the first round firing

第2类参数	结果区间	最适值
γ₁/mm^-2	[1434.4,1437.3]	1436.1
γ₂/mm^-2	[1888.4,1893.2]	1890.6
C	[2.5846,2.6037]	2.5924
K_b	[1.9752,2.0221]	2.0010
K_c	[2.0479,2.1532]	2.0937
α	[0.0394,0.0399]	0.0397
K_f	[1.2989,1.3042]	1.3011
μ	[0.6092, 0.6967]	0.6534
x_f/m	[0.278,0.2814]	0.2809
S_v	[0.9537,0.9737]	0.9737
S_x	[0.9728,0.9849]	0.9849
S_g	[0.9278,0.9583]	0.9583

Fig.13 Hydraulic resistance coefficient Ka of grooves

Fig.14 Comparison between test data and optimal identification value simulation results of the first round

Fig.15 Comparison between test data and optimal identification value simulation results of the second and third round

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