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Advanced Manufacturing Technologies

Award Information
Agency: Department of Defense
Branch: Defense Logistics Agency
Contract: SP4701-15-C-0104
Agency Tracking Number: L152-001-0115
Amount: $149,993.86
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DLA152-001
Solicitation Number: 2015.2
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-09-30
Award End Date (Contract End Date): 2016-09-29
Small Business Information
850 Energy Drive
Idaho Falls, ID 83401
United States
DUNS: 089822014
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nathan Bolander
 (888) 522-8560
Business Contact
 Jennifer Haggerty
Phone: (888) 522-8560
Research Institution

In response to Defense Logistics Agencys SBIR for Advanced Manufacturing Technologies, Sentient proposes to develop a life-cycle cost optimization tool based on its DigitalClone-ComponentTM (DCC) modeling technology.This tool will enable users to better understand the tradeoffs between manufacturing cost and performance/durability of the resultant components. This is particularly attractive for low volume components produced through additive manufacturing (AM) processes, which can significantly reduce upfront tooling costs especially in support of legacy fielded weapon systems. However, qualification of AM components may require costly experimental testing to determine reliability. Sentient is proposing a tool that will allow the user to conduct these performance tests in a virtual environment, which provides upfront knowledge of expected mean time between failures. This information can then be factored into the LCC calculation along with up-front manufacturing costs. The proposed tool is equally applicable to components manufactured with traditional processes. During Phase I, Sentient will demonstrate technical feasibility of the tool through life-cycle cost analysis of an example component produced both by additive manufacturing and through traditional machining. Ground truth durability of these components will be determined through experimental testing. These results will then be compared to DCC predictions to validate the potential cost savings.

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

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