Wu, Yutian (2023)
Wear control in sheet metal forming – detection and life span estimation.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024371
Dissertation, Erstveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
In sheet metal forming, tool wear is more and more affecting production efficiency due to the increased usage of high strength sheet materials and tighter product tolerances. For this reason, it is necessary to develop a reliable wear control method for forming tools. The development of wear detection and prediction methods as well as a better understanding of the influencing factors of wear are key elements for an effective wear control. The first part of the dissertation focuses on a novel method for inline wear detection of the forming tool through thermoelectric current. This sensorless measuring method is able to detect severe wear of coated and uncoated tools effectively. It has also the potential for application in actual sheet metal forming processes such as deep drawing and ironing. The reliability, influencing factors, sensitivity and reproducibility of the measurement method were discussed. In addition to wear detection, a method of tool life estimation for forming tools is the second key factor for optimizing the production efficiency. The wear resistance analysis using the load-dependent wear resistance diagram (WRD), which originates from the "S-N curve", enables the life estimation of a tribological system with limited data of the tool life. In the second part of the thesis, other influencing factors such as tool hardness, tool surfaces and pre-straining of the sheet metal on tool life are discussed. The WRDs for these influencing factors are derived accordingly. However, the derived WRD is only composed of points, which make it difficult to quantitatively estimate tool life and its uncertainties at all load levels. For a broader application of the wear resistance analysis, wear resistance curves (VRC) are needed. In the third part of the thesis the derivation of WRC for coated and uncoated tools is presented. The whole analysis procedure of tool life estimation is illustrated by two application cases of actual forming processes.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2023 | ||||
Autor(en): | Wu, Yutian | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | Wear control in sheet metal forming – detection and life span estimation | ||||
Sprache: | Englisch | ||||
Referenten: | Groche, Prof. Dr. Peter ; Weigold, Prof. Dr. Matthias | ||||
Publikationsjahr: | 2023 | ||||
Ort: | Darmstadt | ||||
Kollation: | I-X, 187 Seiten | ||||
Datum der mündlichen Prüfung: | 9 Mai 2023 | ||||
DOI: | 10.26083/tuprints-00024371 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/24371 | ||||
Kurzbeschreibung (Abstract): | In sheet metal forming, tool wear is more and more affecting production efficiency due to the increased usage of high strength sheet materials and tighter product tolerances. For this reason, it is necessary to develop a reliable wear control method for forming tools. The development of wear detection and prediction methods as well as a better understanding of the influencing factors of wear are key elements for an effective wear control. The first part of the dissertation focuses on a novel method for inline wear detection of the forming tool through thermoelectric current. This sensorless measuring method is able to detect severe wear of coated and uncoated tools effectively. It has also the potential for application in actual sheet metal forming processes such as deep drawing and ironing. The reliability, influencing factors, sensitivity and reproducibility of the measurement method were discussed. In addition to wear detection, a method of tool life estimation for forming tools is the second key factor for optimizing the production efficiency. The wear resistance analysis using the load-dependent wear resistance diagram (WRD), which originates from the "S-N curve", enables the life estimation of a tribological system with limited data of the tool life. In the second part of the thesis, other influencing factors such as tool hardness, tool surfaces and pre-straining of the sheet metal on tool life are discussed. The WRDs for these influencing factors are derived accordingly. However, the derived WRD is only composed of points, which make it difficult to quantitatively estimate tool life and its uncertainties at all load levels. For a broader application of the wear resistance analysis, wear resistance curves (VRC) are needed. In the third part of the thesis the derivation of WRC for coated and uncoated tools is presented. The whole analysis procedure of tool life estimation is illustrated by two application cases of actual forming processes. |
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Alternatives oder übersetztes Abstract: |
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Status: | Verlagsversion | ||||
URN: | urn:nbn:de:tuda-tuprints-243718 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau | ||||
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU) |
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Hinterlegungsdatum: | 04 Sep 2023 12:24 | ||||
Letzte Änderung: | 05 Sep 2023 05:28 | ||||
PPN: | |||||
Referenten: | Groche, Prof. Dr. Peter ; Weigold, Prof. Dr. Matthias | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 9 Mai 2023 | ||||
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