On-Line Control of Metal Processing. Report of the Committee on On-Line Control of Metal Processing

Abstract

Efficient manufacturing requires modeling of the process so as to understand where controls need to be applied, sensors need to be installed, and a control strategy needs to be executed. This report examines these elements as they apply to metal processing. Process analysis leads to the development of a model that shows the points where controls should be applied. Controls may range from a single loop to sophisticated artificial intelligence. Sensors are used to measure process variables so that they can be controlled in real time in such a way as to attain microstructural, compositional, and geometrical goals. On-line process control has not been widely achieved in metallurgical industries. Casting, forging, and particulate production are examined and evaluated with regard to on-line processing, and the factors that limit progress in this area are discussed. Keywords: Artificial intelligence, On-line control, Process control, Process modeling, Sensors.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1989
Accession Number
ADA223515

Entities

People

  • Charles E. Eckert
  • Diran Apelian
  • Donald R. Sadoway
  • Harris Marcus
  • Lionel C. Kimerling

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Chemical Analysis
  • Chemical Engineering
  • Chemistry
  • Computational Science
  • Control Systems
  • Engineers
  • Manufacturing
  • Materials
  • Materials Engineering
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Measurement
  • Mechanics
  • Phase Transformations
  • Thermodynamics
  • Transducers

Readers

  • Computer Science.
  • Metallurgy
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy