Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 9th CIRP Conference on High Performance Cutting |
| Untertitel | HPC 2020 |
| Herausgeber/-innen | Erdem Ozturk, David Curtis, Hassan Ghadbeigi |
| Herausgeber (Verlag) | Elsevier Science B.V. |
| Seiten | 46-49 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781713835431 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Veranstaltung | 9th CIRP Conference on High Performance Cutting, HPC 2020 - Virtual, Online Dauer: 24 Mai 2021 → 26 Mai 2021 |
Publikationsreihe
| Name | Procedia CIRP |
|---|---|
| Band | 101 |
| ISSN (Print) | 2212-8271 |
Abstract
In the repair process of tool moulds, detected damages are removed and the resulting cavities are filled up by a welding process. Due to different types of damage and unknown weld seam properties, each repair case requires an individual machining strategy to ensure high quality. The re-machining step, so-called re-contouring, is currently very time-consuming and leads to experience-dependent workpiece quality. Therefore, this paper presents a specific Kienzle force model combined with optimisation strategies to adapt process parameters and toolpaths as a part of an automated re-contouring process flow. Based on experimental investigations, the force model is generated and used in a material removal simulation to predict the cutting forces according to the local cutting conditions. The method will be validated by re-contouring experiments with welded workpieces.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
Zitieren
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- BibTex
- RIS
9th CIRP Conference on High Performance Cutting: HPC 2020. Hrsg. / Erdem Ozturk; David Curtis; Hassan Ghadbeigi. Elsevier Science B.V., 2021. S. 46-49 (Procedia CIRP; Band 101).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Optimised process planning for re-contouring of repair-welded tool moulds by using a specific force model
AU - Denkena, Berend
AU - Dittrich, Marc André
AU - Heide, Klaas Maximilian
N1 - Funding Information: The presented findings were obtained within the research project MOBILISE - PL5 "Regeneration of Moulding Tools for Mass-Suitable Lightweight Design". The research line MOBILISE is funded by the Lower Saxony Ministry for Science and Culture (MWK). The authors thank the Lower Saxony Ministry for Science and Culture (MWK) and their project partners for the support in the research project.
PY - 2021
Y1 - 2021
N2 - In the repair process of tool moulds, detected damages are removed and the resulting cavities are filled up by a welding process. Due to different types of damage and unknown weld seam properties, each repair case requires an individual machining strategy to ensure high quality. The re-machining step, so-called re-contouring, is currently very time-consuming and leads to experience-dependent workpiece quality. Therefore, this paper presents a specific Kienzle force model combined with optimisation strategies to adapt process parameters and toolpaths as a part of an automated re-contouring process flow. Based on experimental investigations, the force model is generated and used in a material removal simulation to predict the cutting forces according to the local cutting conditions. The method will be validated by re-contouring experiments with welded workpieces.
AB - In the repair process of tool moulds, detected damages are removed and the resulting cavities are filled up by a welding process. Due to different types of damage and unknown weld seam properties, each repair case requires an individual machining strategy to ensure high quality. The re-machining step, so-called re-contouring, is currently very time-consuming and leads to experience-dependent workpiece quality. Therefore, this paper presents a specific Kienzle force model combined with optimisation strategies to adapt process parameters and toolpaths as a part of an automated re-contouring process flow. Based on experimental investigations, the force model is generated and used in a material removal simulation to predict the cutting forces according to the local cutting conditions. The method will be validated by re-contouring experiments with welded workpieces.
KW - Automation
KW - In-process measurement
KW - Material removal
KW - Mold (Mould)
KW - Planning
KW - Sensor
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85125935897&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2021.02.008
DO - 10.1016/j.procir.2021.02.008
M3 - Conference contribution
AN - SCOPUS:85125935897
T3 - Procedia CIRP
SP - 46
EP - 49
BT - 9th CIRP Conference on High Performance Cutting
A2 - Ozturk, Erdem
A2 - Curtis, David
A2 - Ghadbeigi, Hassan
PB - Elsevier Science B.V.
T2 - 9th CIRP Conference on High Performance Cutting, HPC 2020
Y2 - 24 May 2021 through 26 May 2021
ER -