Self-Directed Control of End Milling

Abstract

Self-directed control is a closed-loop control philosophy using qualitative techniques to achieve real-time generation of a process control cycle. One such instance of self-directed control is Qualitative Process Automation (QPA). This report presents the results of applying QPA to the end milling machining process to maximize feed rates while avoiding the undesirable cutting events of excessive tool deflection, tooth overload and cutter shank overload. QPA is a real-time controller with its control output based on process events and not on temporal relationships as are classical machine tool control systems. Various procedures for detecting machining events with sensor data were investigated and used with QPA to develop a controller for the end milling process. The QPA controller used cutting force, spindle speed and feed rate data to predict and avoid excessive tool and tooth loads and to maintain part tolerance with the highest possible feed rate. Simulation cutting results, using an experimentally validated end milling model showed the QPA system to be successful in controlling and milling cuts for step changes in the radial and axial depths of cut on aluminum workpieces. Experimental cutting results validated potential of QPA.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1991
Accession Number
ADA242686

Entities

People

  • Barry K. Fussell
  • Douglas Gagne

Organizations

  • University of New Hampshire

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Composite Materials
  • Computer Programs
  • Computers
  • Control Systems
  • Cutting Tools
  • Data Acquisition
  • Detection
  • End Mill
  • End Milling
  • Fabrication
  • Failure Mode And Effect Analysis
  • Machining
  • Manufacturing
  • Materials Laboratories
  • Pattern Recognition
  • Simulations
  • Two Dimensional

Readers

  • Manufacturing Engineering.
  • Systems Analysis and Design