Mathematical Modeling, Simulation, and Control of Physical Processes

Abstract

Concerning the ablation plume phenomenon, a computational model for the interaction of laser energy with solid matter was developed, as well as analytical and computational models for the plume hydrodynamics, including the chemical reactions. A first task was to understand which variables are the most important. There are approximately 20 input variables that can be varied during the process. Some of these are field parameters, other depend on time, while others, such as electromagnetics, are (time-varying) fields. Contrasted with the many input variables are the desired outcomes from the film. Naturally, there is not time for experiments that vary all of the inputs and to measure the effect on these outcomes as the dimensional complexity is overwhelming. We needed to reduce the experimental effort, via straightforward polynomial regression experimental design and adaptive learning data mining response surface methods. The interaction of laser energy with a solid material takes many different forms depending on the power input and the material properties. That is, thermal conduction is the main methods of energy transport. The justification is that energy transferred is spread out over a vibrationally long time period.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2002
Accession Number
ADA409724

Entities

People

  • Thomas P. Svobodny

Organizations

  • Wright State University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Ablation
  • Air Force Research Laboratories
  • Chemical Reactions
  • Computational Science
  • Crystal Lattices
  • Data Mining
  • Fluid Dynamics
  • Heat Energy
  • Heat Of Fusion
  • Hydrodynamics
  • Materials
  • Optical Properties
  • Phase Transformations
  • Pulsed Power
  • Simulations
  • Statistics
  • Temperature Gradients

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Molecular Photonics/Laser Physics

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Directed Energy