A Methodology for the Synthesis of Computational Modeling and Experimental Design

Abstract

The development of new experiments focused on the analysis of different hazard characteristics of energetic materials can be expensive and time consuming. The progression of initial concepts into viable experiments that utilize available hardware can often be a tedious, trial and error process. However, coupling the experimental evolution with various available computational tools can lead to drastic savings in both time and money. The methodology for integrating computational modeling with experimental design is described in detail as a part of this paper. First, simple engineering analysis methods were used to determine the overall feasibility of initial concepts and designs. Once an initial concept is selected, an iterative process between the experimental design and high-fidelity computational models begins. The experimentalist establishes design boundaries, and modeling is used to identify a variety of optimal configurations. This exchange between experimentalist and modeler occurs constantly during this phase of the design process. Much of this exchange is motivated by new limitations and requirements that emerge as a result of this synthesis. Ultimately, the design process is concluded when an optimal experimental design is identified and fabricated. The recent development of the controllable heat flux device utilized this synergetic relationship.

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Document Details

Document Type
Technical Report
Publication Date
Aug 08, 2006
Accession Number
ADA456609

Entities

People

  • E. B. Washburn
  • T. S. Laker

Organizations

  • Naval Air Warfare Center Weapons Division

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Composite Materials
  • Computational Fluid Dynamics
  • Computational Modeling
  • Computational Science
  • Energetic Materials
  • Engineering
  • Experimental Design
  • Heat Flux
  • Heat Transfer
  • Materials
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Reliability
  • Test Methods

Readers

  • Computational Fluid Dynamics (CFD)
  • Systems Analysis and Design
  • Theoretical Analysis.