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Modeling of High-Power Fiber Laser Performance

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-21-C-7104
Agency Tracking Number: B2-2980
Amount: $1,489,673.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: MDA19-019
Solicitation Number: 19.2
Timeline
Solicitation Year: 2019
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-01-26
Award End Date (Contract End Date): 2023-01-25
Small Business Information
16 Great Hollow Road
Hanover, NH 03755-1111
United States
DUNS: 072021041
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Roger Hill
 (603) 640-2389
 rwh@creare.com
Business Contact
 Robert Kline-Schoder
Phone: (603) 643-3800
Email: contractsmgr@creare.com
Research Institution
N/A
Abstract

Narrow line width fiber lasers have great potential for high-power directed energy applications. The beams of multiple fibers can be combined using spectral or coherent methods for scaling to high power levels. To successfully achieve goals of multi-kW fiber laser system scaling, accurate methods are needed to predict the performance of individual fibers and how their performance is affected by fiber properties. In response to this need, our team is developing a comprehensive physics-based fiber laser analysis tool. The resulting product will be a user-friendly software package that uses as-drawn fiber properties as inputs and provides predictions of the time-dependent kinetics, pump absorption, laser light propagation, and thermal field along the fiber. During Phase I, we developed a first prototype of a high-fidelity laser analysis tool to incorporate experimentally observed distributions of fiber refractive index and doping, and we performed parametric sensitivity analyses. In Phase II, we will implement upgraded physical models and numerical methods and deliver a user-friendly software package. We will validate and verify the software through comparisons to selected literature results, reduced-order models, and experimental data. Approved for Public Release | 20-MDA-10643 (3 Dec 20)

* Information listed above is at the time of submission. *

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