High speed tooltip FRF predictions of arbitrary tool-holder combinations based on operational spindle identification. (June 2018)
- Record Type:
- Journal Article
- Title:
- High speed tooltip FRF predictions of arbitrary tool-holder combinations based on operational spindle identification. (June 2018)
- Main Title:
- High speed tooltip FRF predictions of arbitrary tool-holder combinations based on operational spindle identification
- Authors:
- Postel, M.
Özsahin, O.
Altintas, Y. - Abstract:
- Abstract: The chatter vibrations in milling are avoided by selecting spindle speeds and depth of cuts from the stability lobes. However, it has been well observed that the structural dynamics of the spindle system change as a function of speed and even feed. As a result, the measurement of spindle structure's Frequency Response Function (FRF) at zero speed does not lead to an accurate prediction of stability lobes, hence the productive cutting conditions cannot be estimated accurately. In this study, an in-process identification of speed dependent FRF of the spindle structure is proposed. The spindle FRF is either measured during the rotation via impact testing, or FRF is identified from the inverse solution of critical stability limits. The tool-holder is decoupled from the spindle FRF using receptance coupling method, which leads to speed and/or feed dependent spindle shaft FRF. The tool tip FRF is then predicted by coupling the Timoshenko beam based tool-holder to spindle. The proposed method is validated in milling tests. It is shown that the chatter free material removal rates can be more accurately predicted when the spindle speed and feed dependent machine tool dynamics are considered. Highlights: Speed and feed dependent spindle dynamics are identified during operation. Identification is based on rotating tap tests and inverse stability solution. Stability predictions of arbitrary tools are made through receptance coupling. High speed chatter frequencies areAbstract: The chatter vibrations in milling are avoided by selecting spindle speeds and depth of cuts from the stability lobes. However, it has been well observed that the structural dynamics of the spindle system change as a function of speed and even feed. As a result, the measurement of spindle structure's Frequency Response Function (FRF) at zero speed does not lead to an accurate prediction of stability lobes, hence the productive cutting conditions cannot be estimated accurately. In this study, an in-process identification of speed dependent FRF of the spindle structure is proposed. The spindle FRF is either measured during the rotation via impact testing, or FRF is identified from the inverse solution of critical stability limits. The tool-holder is decoupled from the spindle FRF using receptance coupling method, which leads to speed and/or feed dependent spindle shaft FRF. The tool tip FRF is then predicted by coupling the Timoshenko beam based tool-holder to spindle. The proposed method is validated in milling tests. It is shown that the chatter free material removal rates can be more accurately predicted when the spindle speed and feed dependent machine tool dynamics are considered. Highlights: Speed and feed dependent spindle dynamics are identified during operation. Identification is based on rotating tap tests and inverse stability solution. Stability predictions of arbitrary tools are made through receptance coupling. High speed chatter frequencies are predicted accurately for different feed rates. … (more)
- Is Part Of:
- International journal of machine tools & manufacture. Volume 129(2018)
- Journal:
- International journal of machine tools & manufacture
- Issue:
- Volume 129(2018)
- Issue Display:
- Volume 129, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 129
- Issue:
- 2018
- Issue Sort Value:
- 2018-0129-2018-0000
- Page Start:
- 48
- Page End:
- 60
- Publication Date:
- 2018-06
- Subjects:
- Chatter stability -- Machine tool dynamics -- Inverse receptance coupling -- Inverse stability solution
Machine-tools -- Periodicals
Manufacturing processes -- Periodicals
Machines-outils -- Périodiques
Fabrication -- Périodiques
Electronic journals
621.902 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/08906955 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijmachtools.2018.03.004 ↗
- Languages:
- English
- ISSNs:
- 0890-6955
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.323000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6310.xml