Investigating the Dynamic Behavior of Hardox Plates under Shockwave Loading
- سال انتشار: 1402
- محل انتشار: دوازدهمین کنفرانس بین المللی مهندسی مکانیک، مواد و متالورژی
- کد COI اختصاصی: MEMCONF12_015
- زبان مقاله: انگلیسی
- تعداد مشاهده: 216
نویسندگان
M.Sc. Student of Vehicle Dynamical Systems ResearchLaboratory, School of Automotive Engineering, IranUniversity of Science and Technology, Narmak, Tehran,Iran
Professor, Vehicle Dynamical Systems ResearchLaboratory, School of Automotive Engineering, IranUniversity of Science and Technology, Narmak, Tehran,Iran
چکیده
Hardox wear-resistant steels are widely used in applications involving extreme impact and abrasion conditions. This study investigates the dynamic behavior and deformation mechanisms of Hardox plates subjected to intense shockwave loading. The key objectives are to characterize the performance of Hardox steels under high strain rate events and develop predictive models using finite element analysis and machine learning approaches. Controlled shockwave experiments provide insights into the relationships between charger parameters and the resulting pressure impulses imposed on Hardox specimens. Finite element simulations in LS-DYNA enable virtual testing across a wide range of loading intensities. The models reveal how factors like peak incident pressure and impulse duration influence the extent of plate deflection and potential for material failure. A Random Forest regression model demonstrates promising accuracy in predicting maximum dynamic deflection of Hardox plates using blast characteristics and plate thickness as features. This data-driven approach can assist designers in optimizing the thickness and supports of Hardox components intended for extreme impact applications. Overall, the study enhances fundamental understanding of the mechanisms influencing the penetrative and damage tolerance of quenched and tempered wear-resistant steels under shockwave loading across high strain rates.کلیدواژه ها
Hardox wear-resistant steel, Shockwave loading, Random Forest regression, High strain rates analysis.مقالات مرتبط جدید
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