Fluidic Flexible Matrix Composites for Autonomous Structural Tailoring

Abstract

This project develops Fluidic Flexible Matrix Composites (F2MC) and structures that have controllable and reversible stiffness change. F2MC tubes are fiber wound and filled with fluid. If the fluid flows freely in and out of the tube then the stiffness is relatively low. Blocking the fluid flow by closing a valve results in high stiffness. In this investigation, we develop an accurate analytical model to predict and optimize F2MC tube performance and experimentally demonstrate 52 times stiffness change from open valve to closed valve. Tailoring the fiber wind angle and matrix material results in a broad range of open and closed valve stiffness values, indicating the wide applicability of the concept. Flexibility in the tube wall and air entrainment in the fluid are found to limit the maximum stiffness ratio that can be achieved. As a first step to develop variable stiffness structures, we model, design, build, and test a honeycomb-F2MC sandwich structure. This beam structure is cantilevered and demonstrates a three times increase in stiffness to an endpoint load from open valve to closed valve. The project demonstrates that F2MC technology has the potential to impact many applications, including soft robotics, isolation mounts, and morphing aircraft.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 08, 2008
Accession Number
ADA488029

Entities

People

  • Charles E. Bakis
  • Christopher D. Rahn
  • K. W. Wang

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Bulk Modulus
  • Carbon Fibers
  • Cellular Structures
  • Composite Materials
  • Elastic Properties
  • Engineering
  • Honeycomb Cores
  • Internal Pressure
  • Materials
  • Mechanical Engineering
  • Mechanical Properties
  • Mechanical Working
  • Mechanics
  • Modulus Of Elasticity
  • Shear Modulus
  • Stiffness
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Combustion and Flow Dynamics.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Autonomy