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Flexible part feeding with the aerodynmamic centrifuge: Distribution of pressure and design implications

  • Thomas Frädrich*
  • , Peter Nyhuis
  • *Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Abstract

As a result of proceeding globalization the trend of shortening product life cycles goes on. Due to this the machinery and equipment used for manufacturing processes should be designed non-product related, in order to enable them for a further usage in case of product changes. An answer to the problem in the area of part feeding is the aerodynamic centrifuge, which separates parts in a pre-orientation. The operation of the aerodynamic centrifuge is similar to the mechanic centrifugal bowl feeder, but the movement of the workpieces is carried out exclusively by air. In a cylinder the air is set into rotation by a fan. The airflow affects the workpieces in the cylinder and brings them into a rotating motion. The force impacting the workpieces pushes them against the cylinder wall. On this wall a spiral coil is attached which leads the parts upwards. Depending on the shape and other characteristics the workpieces are moved in defined orientations through the airflow and transported predominantly in this position on the spiral coil. At the upper end of the transport route an outlet is installed, through which the workpieces leave the system separately.

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the IASTED International Conference on Robotics, Robo 2010
Seiten62-68
Seitenumfang7
DOIs
PublikationsstatusVeröffentlicht - 1 Dez. 2010
VeranstaltungIASTED International Conference on Robotics, Robo 2010 - Phuket, Thailand
Dauer: 24 Nov. 201026 Nov. 2010

Publikationsreihe

NameProceedings of the IASTED International Conference on Robotics, Robo 2010

Konferenz

KonferenzIASTED International Conference on Robotics, Robo 2010
Land/GebietThailand
OrtPhuket
Zeitraum24 Nov. 201026 Nov. 2010

ASJC Scopus Sachgebiete

  • Artificial intelligence
  • Maschinelles Sehen und Mustererkennung
  • Mensch-Maschine-Interaktion

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