Shallow Jet Spurt Engineering Model
AI Overview
This RFP seeks development of a computationally efficient engineering model to predict fluid jet formation from shaped-charge liners. The reduced-order model will enable faster warhead design iteration by accurately forecasting spurt characteristics while avoiding expensive hydrocode simulations.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
This topic seeks the development of a computationally efficient engineering-level model to predict the formation and characteristics of the "spurt" in fluid cavity created jets. The hydrodynamic spurt is the initial, often unsteady, ejection of material from the liner, preceding the formation of the main, stable jet. Current hydrocodes can model this phenomenon but are computationally expensive and ill-suited for rapid design iteration. This project will develop a validated, reduced-order model ...
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Shallow Jet Spurt Engineering Model
New opportunity: Shallow Jet Spurt Engineering Model
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