Details
| Original language | English |
|---|---|
| Pages (from-to) | 72-80 |
| Number of pages | 9 |
| Journal | CIRP Journal of Manufacturing Science and Technology |
| Volume | 42 |
| Early online date | 2 Mar 2023 |
| Publication status | Published - Jun 2023 |
Abstract
The numerical simulation of machining processes enables the analysis of thermo-mechanical effects and can be used to predict process-specific quantities such as cutting force and chip shape. This involves, however, a great amount of computational effort and time depending on the model design. Basically, a simulation can be carried out two- or three-dimensionally. Due to the lower computational effort, 2D simulations were often used in the past to analyse the machining properties. In orthogonal cutting, this leads to a good approximation to the real processes if a suitable ratio between cutting width and depth of cut is applied. Nevertheless, most industrially relevant machining processes cannot be completely simulated with a 2D simulation. For these purposes, 3D simulations must be created. This requires a much greater computational effort, which increases the simulation time. This paper shows an approach to determine the cutting force and the information about the chip shape during sawing (bound orthogonal cutting) with a shortened calculation time. This was achieved by dividing the entire cut into 2D and 3D areas. The ratio between the cutting width and the depth of cut defines the criterion for the division. When it was greater than 10, the cutting process between the corner radii was assumed to be a plane two-dimensional strain state. The results showed a good agreement of the cutting force calculated from the 2D–3D simulation approach with experimental investigations and a 3D simulation. The computing time could be reduced by more than 50%.
Keywords
- Cutting simulation, Sawing, Simulation time reduction
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: CIRP Journal of Manufacturing Science and Technology, Vol. 42, 06.2023, p. 72-80.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A novel approach for simulating a sawing process with reduced simulation time
AU - Möhring, Hans Christian
AU - Menze, Christian
AU - Drewle, Konstantin
AU - Fackelmann, Dennis
AU - Stegmann, Jan
AU - Kabelac, Stephan
N1 - Funding Information: This research was funded by the German Research Foundation (DFG) within the Priority Programme 2231 “Efficient cooling, lubrication and transportation – coupled mechanical and fluid-dynamical simulation methods for efficient production processes (FLUSIMPRO)” – project number 439925537 .
PY - 2023/6
Y1 - 2023/6
N2 - The numerical simulation of machining processes enables the analysis of thermo-mechanical effects and can be used to predict process-specific quantities such as cutting force and chip shape. This involves, however, a great amount of computational effort and time depending on the model design. Basically, a simulation can be carried out two- or three-dimensionally. Due to the lower computational effort, 2D simulations were often used in the past to analyse the machining properties. In orthogonal cutting, this leads to a good approximation to the real processes if a suitable ratio between cutting width and depth of cut is applied. Nevertheless, most industrially relevant machining processes cannot be completely simulated with a 2D simulation. For these purposes, 3D simulations must be created. This requires a much greater computational effort, which increases the simulation time. This paper shows an approach to determine the cutting force and the information about the chip shape during sawing (bound orthogonal cutting) with a shortened calculation time. This was achieved by dividing the entire cut into 2D and 3D areas. The ratio between the cutting width and the depth of cut defines the criterion for the division. When it was greater than 10, the cutting process between the corner radii was assumed to be a plane two-dimensional strain state. The results showed a good agreement of the cutting force calculated from the 2D–3D simulation approach with experimental investigations and a 3D simulation. The computing time could be reduced by more than 50%.
AB - The numerical simulation of machining processes enables the analysis of thermo-mechanical effects and can be used to predict process-specific quantities such as cutting force and chip shape. This involves, however, a great amount of computational effort and time depending on the model design. Basically, a simulation can be carried out two- or three-dimensionally. Due to the lower computational effort, 2D simulations were often used in the past to analyse the machining properties. In orthogonal cutting, this leads to a good approximation to the real processes if a suitable ratio between cutting width and depth of cut is applied. Nevertheless, most industrially relevant machining processes cannot be completely simulated with a 2D simulation. For these purposes, 3D simulations must be created. This requires a much greater computational effort, which increases the simulation time. This paper shows an approach to determine the cutting force and the information about the chip shape during sawing (bound orthogonal cutting) with a shortened calculation time. This was achieved by dividing the entire cut into 2D and 3D areas. The ratio between the cutting width and the depth of cut defines the criterion for the division. When it was greater than 10, the cutting process between the corner radii was assumed to be a plane two-dimensional strain state. The results showed a good agreement of the cutting force calculated from the 2D–3D simulation approach with experimental investigations and a 3D simulation. The computing time could be reduced by more than 50%.
KW - Cutting simulation
KW - Sawing
KW - Simulation time reduction
UR - http://www.scopus.com/inward/record.url?scp=85150787950&partnerID=8YFLogxK
U2 - 10.1016/j.cirpj.2022.12.019
DO - 10.1016/j.cirpj.2022.12.019
M3 - Article
AN - SCOPUS:85150787950
VL - 42
SP - 72
EP - 80
JO - CIRP Journal of Manufacturing Science and Technology
JF - CIRP Journal of Manufacturing Science and Technology
SN - 1755-5817
ER -