Utilizing Dynamic Stability of Orient Parts.

Abstract

The intent of this research is to study the dynamic behavior of a solid body resting on a moving surface. Results of the study are then used to propose methods for controlling the orientation of parts in preparation for automatic assembly. Two dynamic models are discussed in detail. The first examines the use of oscillatory motion to selectively reorient parts. This study demonstrates that the dynamic behaviors of solid bodies, under the conditions mentioned above, vary considerably with small changes in geometry or orientation. Conventionally, parts are oriented by bowl feeders. The machines vibrate and thereby convey parts through a series of filters which reject all but a particular orientation. Rejected parts are returned to storage. Many researchers have examined the implementation of programmable or adjustable filter stages. These techniques are often successful for limited classes of parts. The scope of this paper is to present theoretical results which may be useful in feeder designs. It is hoped that a more detailed understanding of the dynamic behavior of bodies resting on a moving surface will facilitate the design of new types of programmable parts feeders. Keywords: Computer Aided Manufacturing; Assembly Lines; Robotics; Orientation Direction; parts feeding. (jhd)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1988
Accession Number
ADA195730

Entities

People

  • Neil C. Singer
  • Warren P. Seering

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Amplitude
  • Angular Momentum
  • Applied Mechanics
  • Artificial Intelligence
  • Assembly
  • Assembly Lines
  • Equations
  • Geometry
  • Impact Point
  • Manufacturing
  • Mechanical Engineering
  • Moment Of Inertia
  • Simulations
  • Solid Bodies
  • Square Waves
  • Waveforms
  • Waves

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Software Engineering
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • Autonomy