Details
| Original language | English |
|---|---|
| Pages (from-to) | 151-156 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 99 |
| Early online date | 3 May 2021 |
| Publication status | Published - 2021 |
| Event | 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020 - Naples, Italy Duration: 15 Jul 2020 → 17 Jul 2020 |
Abstract
The surface topography often is an important quality criterion for the manufacturing of milled workpieces as it often defines their functional behaviour. In machining both, the kinematics of the process and the stochastic influences deriving from the machine tool, workpiece and the surrounding environment affect the workpiece's surface roughness. This paper presents a simulation-based method for flank milling, which considers kinematic and stochastic influences including run-out errors and tooth length variations. The simulation results are used in combination to predict the surface roughness depending on the chosen process parameters. Hence, also making in possible to choose appropriate process parameters to achieve a defined surface roughness.
Keywords
- End milling, Roughness, Simulation, Topography
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 99, 2021, p. 151-156.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Simulation-based surface roughness modelling in end milling
AU - Denkena, Berend
AU - Dittrich, Marc André
AU - Huuk, Julia
N1 - Funding Information: The authors thank the German Federation of Industrial Research Associations (AiF) for the financial support within the research project Technological CAD/CAM (19884_N).
PY - 2021
Y1 - 2021
N2 - The surface topography often is an important quality criterion for the manufacturing of milled workpieces as it often defines their functional behaviour. In machining both, the kinematics of the process and the stochastic influences deriving from the machine tool, workpiece and the surrounding environment affect the workpiece's surface roughness. This paper presents a simulation-based method for flank milling, which considers kinematic and stochastic influences including run-out errors and tooth length variations. The simulation results are used in combination to predict the surface roughness depending on the chosen process parameters. Hence, also making in possible to choose appropriate process parameters to achieve a defined surface roughness.
AB - The surface topography often is an important quality criterion for the manufacturing of milled workpieces as it often defines their functional behaviour. In machining both, the kinematics of the process and the stochastic influences deriving from the machine tool, workpiece and the surrounding environment affect the workpiece's surface roughness. This paper presents a simulation-based method for flank milling, which considers kinematic and stochastic influences including run-out errors and tooth length variations. The simulation results are used in combination to predict the surface roughness depending on the chosen process parameters. Hence, also making in possible to choose appropriate process parameters to achieve a defined surface roughness.
KW - End milling
KW - Roughness
KW - Simulation
KW - Topography
UR - http://www.scopus.com/inward/record.url?scp=85106423114&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2021.03.096
DO - 10.1016/j.procir.2021.03.096
M3 - Conference article
AN - SCOPUS:85106423114
VL - 99
SP - 151
EP - 156
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020
Y2 - 15 July 2020 through 17 July 2020
ER -