A computationally efficient method for the prediction of fretting wear in practical engineering applications. (January 2022)
- Record Type:
- Journal Article
- Title:
- A computationally efficient method for the prediction of fretting wear in practical engineering applications. (January 2022)
- Main Title:
- A computationally efficient method for the prediction of fretting wear in practical engineering applications
- Authors:
- Kong, Y.
Bennett, C.J.
Hyde, C.J. - Abstract:
- Abstract: A method for simulating fretting wear using the Modified Simplex Method for a contact solution has been developed. The initial separation between two contacting bodies was used as an input to solve the contact force distribution. An average cycle pressure distribution was calculated for the stationary surface over a displacement cycle. The wear depth was calculated for each body based on the modified Archard's wear equation using the force distributions and the gross sliding distance. The initial separation was updated and the force distribution was solved for the next iteration. Methods for optimizing computational time are presented using a combination of linear jumping and adaptive cycle jumping for the wear depths, and an interpolation weighting method for reducing the grid size. It was found that computational time can be reduced by at least 98% compared with other simulation methods, making this method a viable tool for design. Fretting wear scars and depths were simulated for a cylinder on flat in contact and were found to agree with experimental results and Finite Element modeling results from previous literature. To show the capability of the fretting wear model, three practical applications were simulated: automotive seat sliding rails, steel wire ropes for industrial applications and steam generator tubes for nuclear power stations. Graphical Abstract: ga1 Highlights: An approach for numerical modeling for fretting wear problems under gross slip.Abstract: A method for simulating fretting wear using the Modified Simplex Method for a contact solution has been developed. The initial separation between two contacting bodies was used as an input to solve the contact force distribution. An average cycle pressure distribution was calculated for the stationary surface over a displacement cycle. The wear depth was calculated for each body based on the modified Archard's wear equation using the force distributions and the gross sliding distance. The initial separation was updated and the force distribution was solved for the next iteration. Methods for optimizing computational time are presented using a combination of linear jumping and adaptive cycle jumping for the wear depths, and an interpolation weighting method for reducing the grid size. It was found that computational time can be reduced by at least 98% compared with other simulation methods, making this method a viable tool for design. Fretting wear scars and depths were simulated for a cylinder on flat in contact and were found to agree with experimental results and Finite Element modeling results from previous literature. To show the capability of the fretting wear model, three practical applications were simulated: automotive seat sliding rails, steel wire ropes for industrial applications and steam generator tubes for nuclear power stations. Graphical Abstract: ga1 Highlights: An approach for numerical modeling for fretting wear problems under gross slip. Implementation of linear cycle jumping and adaptive cycle jumping. Model validation of cylinder on flat geometry for 1 million cycles. Model validation of seat sliding rails, steel wire ropes and steam generator tubes. … (more)
- Is Part Of:
- Tribology international. Volume 165(2022)
- Journal:
- Tribology international
- Issue:
- Volume 165(2022)
- Issue Display:
- Volume 165, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 165
- Issue:
- 2022
- Issue Sort Value:
- 2022-0165-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- fretting -- fretting wear -- numerical wear modeling -- wear simulation
Tribology -- Periodicals
621.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00412678 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.triboint.2021.107317 ↗
- Languages:
- English
- ISSNs:
- 0301-679X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9050.217300
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20075.xml