Publications

Publications

Grain-scale Dynamics in Explosives

This technical report explores the use of computational models and hydrodynamics to simulate the behavior of explosives at the grain scale. The research aims to develop a new reactive flow model that connects an explosive's microscopic, heterogeneous structure to its macroscopic performance and safety. The goal is to improve the predictive capabilities of hydrodynamics/multi-physics codes by providing a more realistic description of the ignition and initiation process.

KIVA-4 Development

David J. Torres

This paper details the development of KIVA-4, a computational fluid dynamics code used for simulating in-cylinder processes in advanced engines. The research focuses on improving the code's ability to model complex hydrodynamic phenomena, such as fuel spray dynamics and combustion, by introducing new features like parallelization and the grid overset method. These advancements aim to reduce dependence on the computational mesh and increase the accuracy of the simulations.

Modeling of the dynamics of a 40 mm gun and ammunition system during firing

N. Eches, D. Cosson, Q. Lambert, A. Langlet

This paper details a finite element model to simulate the internal dynamics of a 40 mm gun during firing, accounting for gas dynamics from propellant combustion. The model, used for parametric studies, contrasts with the hydrodynamic principles of a 120 mm hydraulic recoil system and is validated with experimental data from strain gauges on the barrel and an instrumented projectile.

Springback Compensation in Sheet Metal Forming Using a Successive Response Surface Method

This paper explores an iterative algorithm for springback compensation in sheet metal stamping. It applies an optimization method based on a successive response surface scheme to iteratively modify tool geometry using a parametric model, demonstrating a more effective and less costly alternative to traditional trial-and-error methods.

Development, Verification, and Validation of a Parametric Cervical Spine Injury Prediction Model

This paper details the development of a high-fidelity, parametric finite element model of the cervical spine for injury prediction, utilizing a unique geometry parameterization derived from CT scans. It employs a rigorous hierarchical verification and validation approach across four levels of complexity to ensure model accuracy and reliability. The research aims to create a robust tool for predicting cervical spine injuries based on detailed anatomical and biomechanical modeling.