Influential Factors of a Reactive Materials Projectile’s Damage Evolution Behavior
Abstract
:1. Introduction
2. Numerical Models
2.1. Theoretical Model Building
2.2. Numerical Simulation Model Building
3. MLAT Destruction Law Study
3.1. Steel Target Thickness Impact Analysis
3.1.1. Numerical Models
3.1.2. Results and Discussion
3.2. Analysis of Impact Velocity
3.2.1. Numerical Models
3.2.2. Results and Discussion
3.3. Metal Block Thickness Effect Analysis
3.3.1. Numerical Models
3.3.2. Results and Discussion
4. Impact Experiments
4.1. Experimental Setup
4.2. Experimental Results and Discussion
4.2.1. Analysis of Influencing Factors of Metal Block Thickness
4.2.2. Analysis of Influencing Factors of Steel Target Thickness
4.2.3. Comparative Discussion
5. Conclusions
- Aiming to solve the problem of the large deformation of the projectile when the RMP collides with the MLAT, the SPH-Lagrange algorithm has been proposed. The SPH algorithm was used to calculate the pressure expansion and fragmentation behavior of the reactive core, and the activation behavior of the reactive core after the RMP penetrates the steel target was effectively simulated.
- Aiming to solve the problem of deflagration reaction behavior caused by the RMP, the Powder Burn model was introduced to effectively simulate the deflagration reaction process of the reactive core when it was colliding with the MLAT. The damage evolution law of collision speed, the steel target thickness and the head metal block thickness of the MLAT were obtained.
- Aiming to solve the problem of battlefield target damage assessments of the RMP, the deflagration reaction behavior of the reactive core and the radial expansion behavior of the shell after the RMP penetrates the steel target were reasonably characterized, and the damage mechanism of the RMP has been revealed. A new method is proposed for the rapid construction of damage prediction engineering models under different projectile–target interaction conditions.
- The experimental results show that the combined damage and damage evolution behavior of the RMP on the MLAT was basically consistent with the results of the numerical simulation, and the error was within a reasonable range. This indicated that the SPH-Lagrange algorithm used in this numerical simulation has a high degree of accuracy for the study of the activation of a reactive core, the radial expansion of the shells, the scattering of the fragments, and other behaviors caused by the penetration. This provides a certain reference value for the study of the penetration-initiation combined damage effects mechanism of the RMP.
Author Contributions
Funding
Conflicts of Interest
References
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Parts | Materials | Equation of State | Intensity Model | Invalidation Model |
---|---|---|---|---|
Shells | 30CrMnSiA | Shock | Johnson Cook | Principal Stress |
Core (reactive) | PTFE/AL | Powder Burn | Johnson Cook | Principal Stress |
Core (unreactive) | PTFE/AL | Shock | Johnson Cook | Principal Stress |
Steel target | RHA | Shock | von Mises | Principal Stress |
Post-effect target | AL 2024 | Shock | Johnson Cook | Principal Stress |
Materials | Density (g/cm3) | Shear Modulus (GPa) | Yield Strength (MPa) | Specific Heat (J/kg·K) | Tensile Strength (MPa) |
---|---|---|---|---|---|
W.ALLOY | 17 | 160 | 1506 | 172 | 2210 |
Core | 2.76 | 7 | 120 | / | 240 |
AL 2024 | 2.78 | 28.6 | 260 | 1220 | 720 |
RHA | 7.86 | 64.1 | 1500 | / | 2000 |
30Cr | 7.86 | 80.8 | 1800 | 460 | 1200 |
Shot # | Thickness of RHA | Thickness of Metal Block | Impact Velocity (m/s) | Maximum Perforation Sizes (mm) Damage Sizes (mm) Perforation Number | ||||
---|---|---|---|---|---|---|---|---|
RHA | 1#Al | 2#Al | 3#Al | 4#Al | ||||
1-1 | 2 mm | 10 mm | 936 | 40 × 45 | 35 × 35 | 40 × 45 | 50 × 55 75 × 60 3 | 70 × 70 140 × 80 4 |
1-2 | 8 mm | 10 mm | 942 | 40 × 45 | 200 × 190 230 × 220 3 | 180 × 120 340 × 220 4 | 280 × 210 | 350 × 410 |
1-3 3-3 | 15 mm | 10 mm | 940 | 40 × 40 | 230 × 210 340 × 210 2 | 270 × 300 | 190 × 220 280 × 310 7 | 130 × 190 290 × 230 4 |
1-4 2-3 | 20 mm | 10 mm | 952 | 45 × 45 | 180 × 140 | 210 × 210 320 × 470 9 | 90 × 60 490 × 460 9 | 80 × 60 600 × 390 6 |
1-5 | 30 mm | 10 mm | 946 | 55 × 50 | 100 × 130 | 110 × 80 | 80 × 80 | 100 × 80 |
2-1 | 20 mm | 0 mm | 970 | 50 × 52 | 360 × 290 | 80 × 90 540 × 625 13 | 115 × 65 600 × 440 9 | 150 × 80 580 × 280 4 |
2-2 | 20 mm | 20 mm | 932 | 45 × 45 | 180 × 140 220 × 180 2 | 210 × 214 400 × 260 6 | 170 × 160 560 × 350 9 | 190 × 200 700 × 190 5 |
3-1 | 15 mm | 10 mm | 862 | 40 × 40 | 240 × 200 | 330 × 300 | 240 × 160 | 210 × 120 260 × 150 2 |
3-2 | 15 mm | 10 mm | 907 | 40 × 42 | 240 × 220 270 × 220 2 | 280 × 200 | 240 × 200 260 × 320 5 | 120 × 80 280 × 150 2 |
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Li, X.; Hou, C.; Tong, H.; Yang, L.; Chen, Y. Influential Factors of a Reactive Materials Projectile’s Damage Evolution Behavior. Crystals 2022, 12, 1683. https://doi.org/10.3390/cryst12111683
Li X, Hou C, Tong H, Yang L, Chen Y. Influential Factors of a Reactive Materials Projectile’s Damage Evolution Behavior. Crystals. 2022; 12(11):1683. https://doi.org/10.3390/cryst12111683
Chicago/Turabian StyleLi, Xiangrong, Cong Hou, Huan Tong, Lei Yang, and Yongkang Chen. 2022. "Influential Factors of a Reactive Materials Projectile’s Damage Evolution Behavior" Crystals 12, no. 11: 1683. https://doi.org/10.3390/cryst12111683
APA StyleLi, X., Hou, C., Tong, H., Yang, L., & Chen, Y. (2022). Influential Factors of a Reactive Materials Projectile’s Damage Evolution Behavior. Crystals, 12(11), 1683. https://doi.org/10.3390/cryst12111683