Minskning och kontroll av vibrationer i skärande bearbetning genom modal identifiering under processen

KK-stiftelsens program HÖG, Forskningsprojekt vid nya lärosäten, skapar möjligheter till nära samarbete mellan akademi och näringsliv. Programmet etablerar och utvecklar nya forskningsområden och framtida grupperingar och bidrar till utveckling och stärkt konkurrenskraft för deltagande företag.

Machining Vibration Suppression via In-Process Modal Identification and Control

Forced or self-excited vibrations during machining are major causes affecting surface finish and dimensional precision of machined parts, as well as tool wear and component breakdowns. One critical scientific approach to achieve major reduction or elimination of machining vibration is to fully understand the structure dynamics, in particular the modal parameters of the machining system, so that optimal machining conditions can be selected or controlled to eliminate the adverse effects of vibration.

This project investigates a new in-process structural identification technology, instead of standard off-line use of impact hammers or shakers, so that ever-changing structural modal parameters can be identified in real time. The proposed technology utilizes commonly available sensors combined with analytic models based on an innovative structural identification paradigm, denoted as Iterative Output-Only Identification (IOOI).

Intended users

  • Part programmers in complex machining operations
  • Technical support team for tool manufacturers (to troubleshoot vibration problems)
  • Machine tool builders or CNC controller suppliers can provide an algorithm based on the results of research
  • Independent software developers may also develop solutions based on the results.

How the results are planned to be used

The expected results for industry would be the know-how and widened experience in design of IOOI systems for adaptive selection of cutting conditions for both industrial partners (Sandvik and GKN). Furthermore, the results could be packaged in software for customer service or support control system for application of smart tool holders, tool holders with integrated sensor, by Sandvik Coromant. GKN will be able to develop algorithms for increasing the robustness and reducing the vibration in manufacturing processes (GKN) that is expected to result in a longer tool and equipment life in the manufacturing line; in addition to shortened process planning time. Finally it will be possible to further develop the IOOI algorithm as an add-on packages for CNC machine tools.

Project duration

2016-01 – 2018-12