Details
| Original language | English |
|---|---|
| Pages (from-to) | 381-386 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 102 |
| Early online date | 27 Sept 2021 |
| Publication status | Published - 2021 |
| Event | 18th CIRP Conference on Modeling of Machining Operations, CMMO 2021 - Ljubljana, Slovenia Duration: 15 Jun 2021 → 17 Jun 2021 |
Abstract
Tool grinding is an essential process for the production of cemented carbide tools. In that context, the investigation of specific effects like the resulting surface profile and the fluid dynamic processes is of great interest, but requires microscopic modeling of the grinding wheel including its individual grains and bonding material. This paper introduces an approach for a parametric grinding wheel model, which provides a topography on microscopic scale depending on the grinding wheel specification and dressing conditions for subsequent use in material removal simulations. Scalable abrasive grains and variable distributions embedded in a shiftable bond layer are applied. Optical laser scans are used to derive surface parameters for an adaption and evaluation of the model. The prediction quality in terms of surface roughness is evaluated in surface grinding reference experiments.
Keywords
- Grinding, Material removal, Modeling
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 102, 2021, p. 381-386.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Parametric grinding wheel model for material removal simulation of tool grinding processes
AU - Dittrich, M. A.
AU - Denkena, B.
AU - Wichmann, M.
PY - 2021
Y1 - 2021
N2 - Tool grinding is an essential process for the production of cemented carbide tools. In that context, the investigation of specific effects like the resulting surface profile and the fluid dynamic processes is of great interest, but requires microscopic modeling of the grinding wheel including its individual grains and bonding material. This paper introduces an approach for a parametric grinding wheel model, which provides a topography on microscopic scale depending on the grinding wheel specification and dressing conditions for subsequent use in material removal simulations. Scalable abrasive grains and variable distributions embedded in a shiftable bond layer are applied. Optical laser scans are used to derive surface parameters for an adaption and evaluation of the model. The prediction quality in terms of surface roughness is evaluated in surface grinding reference experiments.
AB - Tool grinding is an essential process for the production of cemented carbide tools. In that context, the investigation of specific effects like the resulting surface profile and the fluid dynamic processes is of great interest, but requires microscopic modeling of the grinding wheel including its individual grains and bonding material. This paper introduces an approach for a parametric grinding wheel model, which provides a topography on microscopic scale depending on the grinding wheel specification and dressing conditions for subsequent use in material removal simulations. Scalable abrasive grains and variable distributions embedded in a shiftable bond layer are applied. Optical laser scans are used to derive surface parameters for an adaption and evaluation of the model. The prediction quality in terms of surface roughness is evaluated in surface grinding reference experiments.
KW - Grinding
KW - Material removal
KW - Modeling
UR - http://www.scopus.com/inward/record.url?scp=85116923600&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2021.09.065
DO - 10.1016/j.procir.2021.09.065
M3 - Conference article
AN - SCOPUS:85116923600
VL - 102
SP - 381
EP - 386
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 18th CIRP Conference on Modeling of Machining Operations, CMMO 2021
Y2 - 15 June 2021 through 17 June 2021
ER -