The influence of target plate factors on the cutting performance of linear shaped charges
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OpenAlex topics: High-Velocity Impact and Material Behavior · Structural Response to Dynamic Loads · Cellular and Composite Structures
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References (23)
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1. Z. Zhao, Y.Z. Zhang, Parameter inversion method for target plate constitutive model based on BP neural network. Int. J. Impact Eng. 186, 104874 (2024). https://doi.org/10.1016/j.ijimpeng.2023.10487410.1016/j.ijimpeng.2023.104874 ↗
2. Z. Zhao, H.B. Xi, A linear shaped charge cutting model for brittle flat plates. J. Appl. Phys. 136, 135102 (2024). https://doi.org/10.1063/5.022335910.1063/5.0223359 ↗
3. X.J. Xu, Y. Zhang, Machine learning cutting forces in milling processes of functionally graded materials. Advances in Computational Intelligence 2, 25 (2022). https://doi.org/10.1007/s43674-022-00036-w10.1007/s43674-022-00036-w ↗
4. Y. Zhang, X.J. Xu, Predicting springback radii and angles in air bending of high-strength sheet steel through Gaussian process regressions. Int. J. Interact. Des. Manuf. 16, 863–870 (2022). https://doi.org/10.1007/s12008-022-00945-710.1007/s12008-022-00945-7 ↗
5. M. Johnston, S. Lim, Numerical observation of the jet flight patterns of linear shaped charges. Appl. Sci. 2(3), 629–640 (2012). https://doi.org/10.3390/app203062910.3390/app2030629 ↗
6. S. Lim, P. Baldovi, C. Rood, Jet grouping of linear-shaped charges and penetration performance. Appl. Sci. 12(24), 12768 (2022). https://doi.org/10.3390/app12241276810.3390/app122412768 ↗
7. J. Park, S. Kwon, Study on the penetration performance of a double-angle linear shaped charge. Performance improvement and miniaturization. Aerospace 11(4), 310 (2024). https://doi.org/10.3390/aerospace1104031010.3390/aerospace11040310 ↗
8. S.K. Sundaram, A. G., B.,B., A, Influence of target dynamics and number of impacts on ballistic performance of 6061-T6 and 7075-T6 aluminum alloy targets. Mech. Based Des. Struct. Mach. 50(3), 993–1011 (2020). https://doi.org/10.1080/15397734.2020.173824510.1080/15397734.2020.1738245 ↗
9. C. Ji, Y. Sun, J. Wu, X. Xie, H. Liu, Numerical and experimental study of the formation and penetration of an LSC jet in different initiation manners. J. Braz. Soc. Mech. Sci. Eng. (2020). https://doi.org/10.1007/s40430-020-02337-y10.1007/s40430-020-02337-y ↗
10. V. Bohanek, M. Dobrilović, V. Škrlec, The efficiency of linear shaped charges. Tehnicki Vjesn 21(3), 525–531 (2014)
11. N. Liu, H. Qiu, Q. Ge, Y. Wang, Y. Hong, Simulation and experimental study on cutting capacity of shaped charge cutter. J. Missile Spacecr. Technol. 01, 38–42 (2020)
12. S. Dong, F. Hu, A. Cui, X. Huang, Q. Liu, Simulation and experimental study on the penetration of shaped charge jets into aircraft aluminum alloy skin. J. Vib. Shock. 38(04), 184–190 (2019). https://doi.org/10.13465/j.cnki.jvs.2019.04.02810.13465/j.cnki.jvs.2019.04.028 ↗
13. M. Xian, Y. Zhang, N. Li, X. Yin, Y. Wang, Q. Suo, Q. Cheng, Effects of boundary constraints and separation surface width on the separation performance of lead linear shaped charge. Chin. J. Energetic Mater. 32(01), 92–101 (2024). https://doi.org/10.11943/CJEM202226610.11943/CJEM2022266 ↗
14. Y. Zhang, X.J. Xu, Machine learning cutting force, surface roughness, and tool life in high speed turning processes. Manuf. Lett. 29, 84–89 (2021). https://doi.org/10.1016/j.mfglet.2021.07.00510.1016/j.mfglet.2021.07.005 ↗
15. Y. Zhang, X.J. Xu, Predicting the material removal rate during electrical discharge diamond grinding using the Gaussian process regression: a comparison with the artificial neural network and response surface methodology. Int. J. Adv. Manuf. Technol. 113, 1527–1533 (2021). https://doi.org/10.1007/s00170-021-06701-710.1007/s00170-021-06701-7 ↗
16. Y. Zhang, X.J. Xu, Machine learning surface roughnesses in turning processes of brass metals. Int. J. Adv. Manuf. Technol. 121, 2437–2444 (2022). https://doi.org/10.1007/s00170-022-09498-110.1007/s00170-022-09498-1 ↗
17. S. Abotula, V.B. Chalivendra, An experimental and numerical investigation of the static and dynamic constitutive behaviour of aluminium alloys. J. Strain Anal. Eng. Des. 45(8), 555–565 (2010). https://doi.org/10.1177/03093247100450080810.1177/030932471004500808 ↗
18. K. Arif, Y. Fang, Y. Jiang, H.D. Rashid, Damage analysis of a tunnel under rigid and deformable impactors. Geotech. Geol. Eng. 43, 9 (2025). https://doi.org/10.1007/s10706-024-03022-w10.1007/s10706-024-03022-w ↗
19. H.N.G. Wadley, T. Borvik, L. Olovsson, J.J. Wetzel, K.P. Dharmasena, O.S. Hopperstad, V.S. Deshpande, J.W. Hutchinson, Deformation and fracture of impulsively loaded sandwich panels. J. Mech. Phys. Solids. 61(2), 674–699 (2013). https://doi.org/10.1016/j.jmps.2012.07.00710.1016/j.jmps.2012.07.007 ↗
20. A. Manes, M. Pagani, M. Saponara, D. Mombelli, C. Mapelli, M. Giglio, Metallographic characterisation of Al6061-T6 aluminium plates subjected to ballistic impact. Mater. Sci. Eng. A 608, 207–220 (2014). https://doi.org/10.1016/j.msea.2014.04.06410.1016/j.msea.2014.04.064 ↗
21. Z. Li, S. Lu, W. Yang et al., Study on the ductile fracture rule of 6061-T6 aluminum alloy sheet under different strain conditions. Trans. Indian Inst. Met. 72, 2721–2728 (2019). https://doi.org/10.1007/s12666-019-01744-710.1007/s12666-019-01744-7 ↗
22. O.L.O.V.S.S.O.N. LARS, S.O.U.L.I. MHAMED, IAN DO, LS-DYNA_ALE (Arbitrary -Lagrangian-Eulerian) Fluid-Structure Interaction Modeling (LSTC, 2003)
23. D. Wang, (2017). Performance simulation of hydraulic retarder under full liquid filling condition based on SPH (Master’s thesis, Beijing Institute of Technology). Retrieved from https://link.cnki.net/doi/10.26948/d.cnki.gbjlu.2017.000625