Details
| Original language | English |
|---|---|
| Article number | 930 |
| Number of pages | 12 |
| Journal | Metals |
| Volume | 10 |
| Issue number | 7 |
| Publication status | Published - 10 Jul 2020 |
Abstract
The realization of the increasing automation of production systems requires the guarantee of process security as well as the resulting workpiece quality. For this purpose, monitoring systems are used, which monitor the machining based on machine control signals and external sensors. These systems are challenged by innovative design concepts such as hybrid components made of different materials, which lead to new disturbance variables in the process. Therefore, it is important to obtain as much process information as possible in order to achieve a robust and sensitive evaluation of the machining. Feeling machines with force sensing capabilities represent a promising approach to assist the monitoring. This paper provides, for the first time, an overview of the suitability of the feeling machine for process monitoring during turning operations. The process faults tool breakage, tool wear, and the variation of the material transition position of hybrid shafts that were researched and compared with a force dynamometer. For the investigation, longitudinal turning processes with shafts made of EN AW-6082 and 20MnCr5 were carried out. The results show the feeling machine is sensitive to all kinds of examined errors and can compete with a force dynamometer, especially for roughing operations.
Keywords
- Benchmark, Feeling machine, Process monitoring, Tailored forming, Turning
ASJC Scopus subject areas
- Materials Science(all)
- General Materials Science
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In: Metals, Vol. 10, No. 7, 930, 10.07.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Feeling Machine for Process Monitoring of Turning Hybrid Solid Components
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Witt, Matthias
N1 - Funding information: The results presented in this paper were obtained within the Collaborative Research Centre 1153 “Process chain to produce hybrid high performance components by Tailored Forming” in the subproject B5 (252662854). The authors would like to thank the German Research Foundation (DFG) for its financial and organisational support of this project.
PY - 2020/7/10
Y1 - 2020/7/10
N2 - The realization of the increasing automation of production systems requires the guarantee of process security as well as the resulting workpiece quality. For this purpose, monitoring systems are used, which monitor the machining based on machine control signals and external sensors. These systems are challenged by innovative design concepts such as hybrid components made of different materials, which lead to new disturbance variables in the process. Therefore, it is important to obtain as much process information as possible in order to achieve a robust and sensitive evaluation of the machining. Feeling machines with force sensing capabilities represent a promising approach to assist the monitoring. This paper provides, for the first time, an overview of the suitability of the feeling machine for process monitoring during turning operations. The process faults tool breakage, tool wear, and the variation of the material transition position of hybrid shafts that were researched and compared with a force dynamometer. For the investigation, longitudinal turning processes with shafts made of EN AW-6082 and 20MnCr5 were carried out. The results show the feeling machine is sensitive to all kinds of examined errors and can compete with a force dynamometer, especially for roughing operations.
AB - The realization of the increasing automation of production systems requires the guarantee of process security as well as the resulting workpiece quality. For this purpose, monitoring systems are used, which monitor the machining based on machine control signals and external sensors. These systems are challenged by innovative design concepts such as hybrid components made of different materials, which lead to new disturbance variables in the process. Therefore, it is important to obtain as much process information as possible in order to achieve a robust and sensitive evaluation of the machining. Feeling machines with force sensing capabilities represent a promising approach to assist the monitoring. This paper provides, for the first time, an overview of the suitability of the feeling machine for process monitoring during turning operations. The process faults tool breakage, tool wear, and the variation of the material transition position of hybrid shafts that were researched and compared with a force dynamometer. For the investigation, longitudinal turning processes with shafts made of EN AW-6082 and 20MnCr5 were carried out. The results show the feeling machine is sensitive to all kinds of examined errors and can compete with a force dynamometer, especially for roughing operations.
KW - Benchmark
KW - Feeling machine
KW - Process monitoring
KW - Tailored forming
KW - Turning
UR - http://www.scopus.com/inward/record.url?scp=85087807290&partnerID=8YFLogxK
U2 - 10.3390/met10070930
DO - 10.3390/met10070930
M3 - Article
AN - SCOPUS:85087807290
VL - 10
JO - Metals
JF - Metals
SN - 2075-4701
IS - 7
M1 - 930
ER -