Simulation of wear and effective friction properties of microstructured surfaces
(2021) In Wear 464-465.- Abstract
- Wear and friction characteristics are simulated on metal forming tools with tailored surfaces generated by micro-milling. Friction homogenisation is applied to study surface cut-outs on the meso-scale where the structures are resolved by means of finite element methods and where asperities are represented by a combined friction law appropriate for metal forming. Dissipation based and pressure based Archard wear relations are implemented in a postprocessor, and wear distributions as well as effective friction properties are investigated. Sinusoidal surface structures are able to provide anisotropic structural resistance throughout the progress of wear. A bionic surface structure shows quasi-isotropic structural resistance where sliding... (More) 
- Wear and friction characteristics are simulated on metal forming tools with tailored surfaces generated by micro-milling. Friction homogenisation is applied to study surface cut-outs on the meso-scale where the structures are resolved by means of finite element methods and where asperities are represented by a combined friction law appropriate for metal forming. Dissipation based and pressure based Archard wear relations are implemented in a postprocessor, and wear distributions as well as effective friction properties are investigated. Sinusoidal surface structures are able to provide anisotropic structural resistance throughout the progress of wear. A bionic surface structure shows quasi-isotropic structural resistance where sliding directions across the edge directions are benefitial with regard to the wear progress. Experimental measurements from a wear experiment give hints which support the dissipation based Archard relation while more experimental evidence is necessary. (Less)
- author
- Schewe, Markus ; Wilbuer, Hendrik and Menzel, Andreas LU
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Archard, Finite element method, Friction homogenisation, Sheet-bulk metal forming, Surface topography, Wear modelling
- in
- Wear
- volume
- 464-465
- article number
- 203491
- publisher
- Elsevier
- external identifiers
- 
                - scopus:85096433345
 
- ISSN
- 0043-1648
- DOI
- 10.1016/j.wear.2020.203491
- language
- English
- LU publication?
- yes
- id
- 1ebf0628-0483-4e46-9779-fec9809d44ba
- date added to LUP
- 2020-11-30 09:17:56
- date last changed
- 2025-10-14 12:29:44
@article{1ebf0628-0483-4e46-9779-fec9809d44ba,
  abstract     = {{<p>Wear and friction characteristics are simulated on metal forming tools with tailored surfaces generated by micro-milling. Friction homogenisation is applied to study surface cut-outs on the meso-scale where the structures are resolved by means of finite element methods and where asperities are represented by a combined friction law appropriate for metal forming. Dissipation based and pressure based Archard wear relations are implemented in a postprocessor, and wear distributions as well as effective friction properties are investigated. Sinusoidal surface structures are able to provide anisotropic structural resistance throughout the progress of wear. A bionic surface structure shows quasi-isotropic structural resistance where sliding directions across the edge directions are benefitial with regard to the wear progress. Experimental measurements from a wear experiment give hints which support the dissipation based Archard relation while more experimental evidence is necessary.</p>}},
  author       = {{Schewe, Markus and Wilbuer, Hendrik and Menzel, Andreas}},
  issn         = {{0043-1648}},
  keywords     = {{Archard; Finite element method; Friction homogenisation; Sheet-bulk metal forming; Surface topography; Wear modelling}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Wear}},
  title        = {{Simulation of wear and effective friction properties of microstructured surfaces}},
  url          = {{http://dx.doi.org/10.1016/j.wear.2020.203491}},
  doi          = {{10.1016/j.wear.2020.203491}},
  volume       = {{464-465}},
  year         = {{2021}},
}