Summary of Ergonomics Research for the Crew Chief Model Development

Abstract

Accessibility has been recognized as a major problem in maintaining aircraft, systems and equipment for some time. When new equipment is being designed the designer attempts to place those items with high failure rates or frequent inspection or servicing requirements in the most accessible locations, but the function of the component usually takes precedence in determining location. Also, when designing new equipment, the expected failure rates are estimates, and some times turn out to be far from accurate. Thus, if the failure rates are higher than expected for a specific component it may well be in an inaccessible location. The inconvenient locations force maintenance technicians into comfortable and inefficient working postures such as kneeling, squatting, supine and prone. This report describes ergonomic research accomplished by the University of Dayton Research Institute under Air Force Contract F33615-84-C-0519, in support of the CREW CHIEF and associated programs. The largest single effort described in this report is in the area of strength testing. More then 100,000 strength measures were made. Data collected were used to develop algorithmic models to predict strength capabilities for the various functions of the CREW CHIEF programs.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA236113

Entities

People

  • L. E. Gibbons

Organizations

  • University of Dayton

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Maintenance
  • Anthropometry
  • Biomedical Research
  • Body Regions
  • Clothing
  • Contracts
  • Databases
  • Human Factors Engineering
  • Materials
  • Measurement
  • Medical Personnel
  • Personnel Management
  • Recording Systems
  • Slant Range
  • Three Dimensional
  • Vertical Orientation
  • Video Recording

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Exercise and Sports Science.