Mathematical and Computational Framework for Virtual Fabrication Environment for Aircraft Components

Abstract

The general objective of this project was to investigate the question of how working models should be formulated so that they can serve as reliable and accurate representations of physical reality in the sense that they will provide predictions of events or states of systems that can be confirmed consistently by physical observations. The construction of such mathematical models involves feedback processes, the main elements of which are calibration, prediction, evaluation and modification. The specific objective was the development of the mathematical and computational aspects of a knowledge base needed for the creation of a virtual fabrication environment for aircraft components manufactured from 705O-T7451 aluminum plate stock so that the incidence of re-working and scrapping of partially or fully manufactured parts is substantially reduced The main conclusions are that verified mathematical models can be used successfully for the determination of residual stress states in 7050-T7451 aluminum plates and this information can be used for the prediction of distortion in thin-walled structural components with a high degree of reliability. The use of virtual and physical experiments in engineering decision-making processes is discussed and illustrated by examples.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA433240

Entities

People

  • Barna Szabo
  • Daniel Muntges
  • Sebastian Nervi

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Computational Fluid Dynamics
  • Engineering
  • Fabrication
  • Finite Element Analysis
  • Manufacturing
  • Mathematical Models
  • Measurement
  • Mechanics
  • Physical Properties
  • Residual Stress
  • Standards
  • Structural Components
  • Test And Evaluation
  • Three Dimensional

Readers

  • Computational Modeling and Simulation
  • Metallurgy
  • Structural Health Monitoring of Composite Structures.