The Future of Aircraft Paint Removal Methods

Abstract

The purpose of study was to develop a qualitative forecast for predicting aircraft paint removal methods. A Delphi methodology was used to create a technical forecast, combining the expectations of individuals who work with the related technologies on a daily basis. The Delphi results yielded five major conclusions. First, the projected paint removal method that will suit future paint removal needs is PMB, and no other method is projected to be a serious threat to PMB's dominance. Second, PMB's process and parameters must be further researched to optimize the method's effectiveness. Third, the worker's safety can be further enhanced by both protective equipment that is available today, and facility construction that is specifically designed for the given removal method. Fourth, facility design is the major consideration when defining a paint removal's environmental effects. Lastly, it is undeterminable if robotics will replace human labor. Equipment that safely applies PMB is available today, while the equipment that further the method's effectiveness of separating heavy particles will be accessible in 1 year. Keywords: Paint removal; Paint stripping; Forecast; Theses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA214946

Entities

People

  • Michael J. Then

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Chemical Synthesis
  • Chemistry
  • Chlorides
  • Engineers
  • Environmental Protection
  • Health Services
  • Material Degradation Processes
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Mechanical Engineering
  • Medical Personnel

Readers

  • Groundwater Contamination Remediation.
  • Life Cycle Cost Analysis
  • Theoretical Analysis.

Technology Areas

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