Details
| Original language | English |
|---|---|
| Pages (from-to) | 511-520 |
| Number of pages | 10 |
| Journal | Production Engineering |
| Volume | 17 |
| Issue number | 3-4 |
| Early online date | 10 Jan 2023 |
| Publication status | Published - Jun 2023 |
Abstract
Hybrid material composites can meet the increasing demands for high strength and low weight due to their different workpiece properties. Usually, hybrid components require post-machining after their fabrication. Due to the different material properties, new challenges arise in the machining process. It is essential to recognize the course of the material boundary in order to adapt the process planning accordingly and to enable a uniform material transition during machining. This paper presents a method for automated material recognition and automatic adaptation of the process parameters considering a uniform force level during the milling of hybrid materials. This way, the load on the milling tool in the material transition area can be reduced by up to 71%, which prevents premature tool failure. An optical laser line scanner is used to localize of material transitions within hybrid components. This enables a digital mapping of the material distribution in the discretized workpiece model. In combination with an empirical force model, it is possible to predict the cutting forces of the different materials and determine the material transition area for adapting them to specified target values.
Keywords
- Automation, In-process measurement, Machining, Material removal, Optimization, Simulation
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 17, No. 3-4, 06.2023, p. 511-520.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Automated process planning in milling of hybrid components
AU - Denkena, Berend
AU - Wichmann, Marcel
AU - Heide, Klaas Maximilian
AU - Wiesener, Frederik
AU - Nguyen, Hai Nam
N1 - Funding Information: The results presented in this paper were obtained within the Collaborative Research Center 1153 “Process chain to produce hybrid high performance components by Tailored Forming”. The authors would like to thank the German Research Foundation (DFG) for the financial and organisational support of this project.
PY - 2023/6
Y1 - 2023/6
N2 - Hybrid material composites can meet the increasing demands for high strength and low weight due to their different workpiece properties. Usually, hybrid components require post-machining after their fabrication. Due to the different material properties, new challenges arise in the machining process. It is essential to recognize the course of the material boundary in order to adapt the process planning accordingly and to enable a uniform material transition during machining. This paper presents a method for automated material recognition and automatic adaptation of the process parameters considering a uniform force level during the milling of hybrid materials. This way, the load on the milling tool in the material transition area can be reduced by up to 71%, which prevents premature tool failure. An optical laser line scanner is used to localize of material transitions within hybrid components. This enables a digital mapping of the material distribution in the discretized workpiece model. In combination with an empirical force model, it is possible to predict the cutting forces of the different materials and determine the material transition area for adapting them to specified target values.
AB - Hybrid material composites can meet the increasing demands for high strength and low weight due to their different workpiece properties. Usually, hybrid components require post-machining after their fabrication. Due to the different material properties, new challenges arise in the machining process. It is essential to recognize the course of the material boundary in order to adapt the process planning accordingly and to enable a uniform material transition during machining. This paper presents a method for automated material recognition and automatic adaptation of the process parameters considering a uniform force level during the milling of hybrid materials. This way, the load on the milling tool in the material transition area can be reduced by up to 71%, which prevents premature tool failure. An optical laser line scanner is used to localize of material transitions within hybrid components. This enables a digital mapping of the material distribution in the discretized workpiece model. In combination with an empirical force model, it is possible to predict the cutting forces of the different materials and determine the material transition area for adapting them to specified target values.
KW - Automation
KW - In-process measurement
KW - Machining
KW - Material removal
KW - Optimization
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85146028743&partnerID=8YFLogxK
U2 - 10.1007/s11740-022-01180-5
DO - 10.1007/s11740-022-01180-5
M3 - Article
AN - SCOPUS:85146028743
VL - 17
SP - 511
EP - 520
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 3-4
ER -