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Defence Technology
Article . 2025 . Peer-reviewed
License: CC BY NC ND
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Defence Technology
Article . 2025
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Impact-induced energy release of typical HCP metal/PTFE/W reactive materials: Experimental study and predictive modeling via machine learning

Authors: Zhenwei Zhang; Weixi Tian; Tianyi Wang; Zhiyuan Liu; Yansong Yang; Chao Ge; Lei Guo; +3 Authors

Impact-induced energy release of typical HCP metal/PTFE/W reactive materials: Experimental study and predictive modeling via machine learning

Abstract

Zirconium, titanium, and other hexagonally close-packed (HCP) metals and their alloys are representative high specific strength, high reaction enthalpy, and high thermal conductivity structural materials. In this study, two typical HCP metals, zirconium, and titanium, were applied to reactive materials (RMs) to prepare Zr/PTFE/W RMs and Ti/PTFE/W RMs, validating the feasibility of HCP metal/PTFE/W RMs. The impact response process of typical HCP metal/PTFE/W RMs under high-velocity dynamic loads was studied using shock equations of state (EOS) based on porous mixtures and chemical reaction kinetics equations. An improved hemispherical quasi-sealed test chamber was employed to measure the energy release characteristic curves of 10 types of Zr/PTFE/W RMs and Ti/PTFE/W RMs under impact velocities ranging from 500 m/s to 1300 m/s. The datasets of the impact-induced energy release characteristics of HCP metal/PTFE/W RMs were established. Additionally, the energy release efficiency of HCP metal/PTFE/W RMs under impact was predicted using the support vector regression (SVR) kernel function model. The datasets of Zr/PTFE/W RMs and Ti/PTFE/W RMs with W contents of 0%, 25%, 50%, and 75% were used as test sets, respectively. The model predictions showed a high degree of agreement with the experimental data, with mean absolute errors (MAE) of 4.8, 6.5, 4.6, and 4.1, respectively.

Keywords

Support vector regression, Military Science, U, HCP metal/PTFE/W, Reactive materials, Energy release efficiency, Impact-induced energy release

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
gold