System for Remote Mapping of Motion data and Real-time Damage Risk Analysis of Biologically Relevant Materials using Digital Engineering
Abstract
Digital engineering is a relatively a new concept that, in a broad sense, integrates field data with a system of hardware and software to foster design of a complex system. Here, we propose to use digital engineering to understand the effect of on-field accelerative/decelerative motion data on the damage of a head simulant with or without protective equipment. The study will then facilitate the design of a safer protective equipment capable of predicting traumatic injury risk in real-time. With the ever-changing nature ofimprovised threats, the operational environments for the warfighters are becoming challenging every day. Our warfighters need to improve their ability not only to prevent, mitigate and treat injuries but also to assure agile maintenance of force readiness. For this, real-time interface between brain health and protective equipment is critical. It is believed that the proposed concept will directly address ONR#s mission towards augmented warfighter and operational endurance by quantifying and advancing warfighter#s close combat lethality and force readiness. To achieve the overarching research goal, the purpose of this DURIP proposal is to acquire a pair of robotic arms, linear actuators, force/torque sensors, collision sensors, a six degrees of freedom (6-dof) motion platform, a 360-degree camera system, a whole-body motion sensing tool, a micro-CT scanner and supporting accessories. The proposed #digital engineering# system can be used to remotely capture motion data, and then systematically use the data on a digital simulant with embedded live cells and a digital twin to collectively obtain the cellular level brain injury threshold. The motion data can come from a variety of sources including human and animal subject motion, fast boat motion, supersonic air vehicles and other naval relevant sources. Using the proposed industrial arms and 6-dof motion platforms, we aim to exactly replicate remotely collected motion data on our phantom head/body simulant and protective equipment in real time. The micro-CT scanner will aid in analyzing damage in the protective equipment. As such, the research ideas outlined here have direct relevance to ONR#s Warfighter Performance Program (Code 34).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 12, 2023
- Source ID
- N000142312232
Entities
People
- Ashfaq Adnan
Organizations
- Office of Naval Research
- United States Navy
- University of Texas at Arlington