System Development Report for Automated Polymer Die Attach Machine.

Abstract

The current trend throughout the Military Hybrid Industry is the reduction of operator controlled variables in an effort to reduce cost while maintaining and increasing equipment volume handling capability. An important area in which this can be accomplished is in the chip to substrate assembly operation. Existing equipment is designed for operator recognition and orientation alignment of individual semiconductor chip topographies. The purpose of this manufacturing technology program has been to develop a semi-automatic chip recognition die bonding system. The system developed by this task presents a video image of the die to be placed on a TV Monitor. This image is overlayed with an outline image of the die to show correct orientation. The operator then aligns this overlayed image to the real die. At this point, the machine picks up, orients, and places the die in correct orientation on the substrate without operator control. THe system development activity in this task has been accomplished by Kulicke and Soffa Industries, Inc. with technical guidance provided by Hughes Aircraft. This report integrates that activity and is offered in three sections: Section I - System Analysis; Section II - Mechanical Design; and Section III - Video Augmentation Design. Originator supplied keywords include: Automatic die attachment; Hybrids; Polymer die attachment die recognition systems; and Robotics.

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Document Details

Document Type
Technical Report
Publication Date
Dec 18, 1981
Accession Number
ADA151865

Entities

People

  • K. C. Cannon
  • T. A. Mckinney

Organizations

  • Hughes Aircraft Company

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Computer Programming
  • Computers
  • Control Panels
  • Control Systems
  • Electronic Components
  • Electronics
  • Engineering
  • Host Computers
  • Identification
  • Integrated Circuits
  • Manufacturing
  • Materials
  • Production
  • Recognition
  • Semiconductor Devices
  • Semiconductors

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Metallurgy
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Autonomy
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems