Details
| Original language | English |
|---|---|
| Pages (from-to) | 349-359 |
| Number of pages | 11 |
| Journal | Precision Engineering |
| Volume | 77 |
| Early online date | 29 Jun 2022 |
| Publication status | Published - Sept 2022 |
Abstract
Increasing productivity of ultra-precision (UP) machining is vital to apply this technology in a broader range of applications. In order to achieve this goal, technologies such as diamond cutting with multiple cutting edges or the application of electromagnetic levitation guides are researched. Due to the additional, influencing factors from these technologies, a digital surface twin is beneficial for predicting surface features and characteristics. In this work, two approaches for generating a digital surface twin are investigated: a surface simulation based on numerical height maps and a dexel-based material removal simulation. Both incorporate multi degree of freedom position data provided by the levitation guide. Fly-cutting experiments are conducted to validate the digital twin approaches. Both approaches are able to predict surface profile, surface roughness and waviness with high accuracy. It is also shown, that the digital twin can support the development of compensation approaches for tool offsets. In conclusion digital surface twins for ultra-precision cutting offer a high potential to support productivity improvement especially in combination with axis position data. Further work will focus on real-time integration of the approaches.
Keywords
- digital surface twin, high performance cutting, ultra-precision milling
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Precision Engineering, Vol. 77, 09.2022, p. 349-359.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Digital surface twin for ultra-precision high performance cutting
AU - Schönemann, Lars
AU - Riemer, Oltmann
AU - Karpuschewski, Bernhard
AU - Schreiber, Per
AU - Klemme, Heinrich
AU - Denkena, Berend
N1 - Funding Information: This research was funded by German Research Foundation (DFG) as part of the Research Unit FOR 1845 “Ultra-precision High Performance Cutting”.
PY - 2022/9
Y1 - 2022/9
N2 - Increasing productivity of ultra-precision (UP) machining is vital to apply this technology in a broader range of applications. In order to achieve this goal, technologies such as diamond cutting with multiple cutting edges or the application of electromagnetic levitation guides are researched. Due to the additional, influencing factors from these technologies, a digital surface twin is beneficial for predicting surface features and characteristics. In this work, two approaches for generating a digital surface twin are investigated: a surface simulation based on numerical height maps and a dexel-based material removal simulation. Both incorporate multi degree of freedom position data provided by the levitation guide. Fly-cutting experiments are conducted to validate the digital twin approaches. Both approaches are able to predict surface profile, surface roughness and waviness with high accuracy. It is also shown, that the digital twin can support the development of compensation approaches for tool offsets. In conclusion digital surface twins for ultra-precision cutting offer a high potential to support productivity improvement especially in combination with axis position data. Further work will focus on real-time integration of the approaches.
AB - Increasing productivity of ultra-precision (UP) machining is vital to apply this technology in a broader range of applications. In order to achieve this goal, technologies such as diamond cutting with multiple cutting edges or the application of electromagnetic levitation guides are researched. Due to the additional, influencing factors from these technologies, a digital surface twin is beneficial for predicting surface features and characteristics. In this work, two approaches for generating a digital surface twin are investigated: a surface simulation based on numerical height maps and a dexel-based material removal simulation. Both incorporate multi degree of freedom position data provided by the levitation guide. Fly-cutting experiments are conducted to validate the digital twin approaches. Both approaches are able to predict surface profile, surface roughness and waviness with high accuracy. It is also shown, that the digital twin can support the development of compensation approaches for tool offsets. In conclusion digital surface twins for ultra-precision cutting offer a high potential to support productivity improvement especially in combination with axis position data. Further work will focus on real-time integration of the approaches.
KW - digital surface twin
KW - high performance cutting
KW - ultra-precision milling
UR - http://www.scopus.com/inward/record.url?scp=85133258844&partnerID=8YFLogxK
U2 - 10.1016/j.precisioneng.2022.06.010
DO - 10.1016/j.precisioneng.2022.06.010
M3 - Article
AN - SCOPUS:85133258844
VL - 77
SP - 349
EP - 359
JO - Precision Engineering
JF - Precision Engineering
SN - 0141-6359
ER -