You are here

Integrated Digital Engineering Environment for PPE Development (IDEEP)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-22-C-0249
Agency Tracking Number: N22A-T017-0085
Amount: $239,935.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N22A-T017
Solicitation Number: 22.A
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-06-06
Award End Date (Contract End Date): 2023-12-11
Small Business Information
714 E Monument Ave, Ste 104
Dayton, OH 45402-1382
United States
DUNS: 032613301
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Zhiqing Cheng
 (937) 838-4102
Business Contact
 Charles Cheng
Phone: (937) 623-3910
Research Institution
 Hopkins Extreme Materials Institute
 Feng Zhu
3400 N. Charles Street
Baltimore, MD 21218-2683
United States

 (484) 893-9464
 Nonprofit College or University

To leverage the advantages of computational modeling and digital technologies for personal protective equipment (PPE) development, new digital technology that allows for rapid design exploration to couple with state-of-the-art models is needed. This leads to this Topic with the objective to develop a digital design tool for PPE that allows for rapid exploration of the entire design space. To address the need of this Topic, Innovision team propose an innovative solution—Integrated Digital Engineering Environment for PPE development (IDEEP), which consists of five functional modules, a knowledge base and data center, and a toolbox. Given a PPE selection and design objectives, design tasks will be performed by those modules, following a typical workflow as follows: (a) Initial design, which creates a set of design instances in the design space; (b) Virtual prototyping, which uses finite element modeling to create a virtual product of each design; (c) Virtual testing, which integrates a PPE model with a human body model to simulate the multi-physical performance of the PPE being designed; (d) Design optimization, which determines the optimal design based on simulation results using data-driven methodologies; and (e) Assessment/certification, which assesses the performance of the optimal design based on extensive simulations. If the optimal design meets design requirements and performance criteria, it will be taken as the final design; Otherwise, a new design iteration will be started until a satisfactory design is achieved.

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

US Flag An Official Website of the United States Government