Opportunity

SBIR / STTR #Army SBIR Phase I 2022-11-17

Army SBIR Solicitation for AI/ML-Driven Nitramine Recrystallization and Coating Technology

Buyer

Army SBIR

Posted

November 17, 2022

Respond By

January 04, 2023

Identifier

Army SBIR Phase I 2022-11-17

NAICS

541715, 541713

The Army SBIR program is inviting small businesses to propose innovative solutions for enhancing the manufacturing of energetic materials, with a focus on nitramine recrystallization and coating processes. - Government Buyer: - Department of Defense, Army SBIR program - Products/Services Requested: - Research and development of novel probe technology for real-time data collection in manufacturing - Development and integration of machine learning algorithms to optimize nitramine recrystallization and coating - Demonstration of probe technology in laboratory and manufacturing environments - Implementation of machine learning systems for process optimization - Unique or Notable Requirements: - Solutions must improve product quality, reduce costs, and increase manufacturing throughput - Opportunity is set aside for small businesses - Funding ceiling of $100,000 for a six-month Phase I effort - No specific OEMs, vendors, or part numbers are named - Place of Performance: - Army SBIR (contracting office) - No product line items or specific equipment are listed; focus is on R&D services and technology development.

Description

This solicitation seeks the development of probe technology combined with machine learning algorithms to enhance the manufacturing process of energetic materials, specifically nitramine recrystallization and coating. The goal is to deploy novel probes that provide real-time data and an advanced machine learning system to offer instantaneous manufacturing adjustments, improving product quality, reducing costs, and increasing throughput. The project is structured in phases, starting with demonstrating probe data collection, followed by implementation in manufacturing, and culminating in control of manufacturing lines using machine learning. The effort is funded up to $100,000 for a duration of up to six months.

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