Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Lorenz Quentin
  • Jens Kruse
  • Rüdiger Beermann
  • Carl Reinke
  • Jan Langner
  • Malte Stonis
  • Markus Kästner
  • Eduard Reithmeier

External Research Organisations

  • Institut für integrierte Produktion Hannover (IPH)
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Details

Original languageEnglish
Title of host publicationProceedings of the 22nd International ESAFORM Conference on Material Forming
EditorsPedro Arrazola, Eneko Saenz de Argandona, Nagore Otegi, Joseba Mendiguren, Mikel Saez de Buruaga, Aitor Madariaga, Lander Galdos
ISBN (electronic)9780735418479
Publication statusPublished - 2 Jul 2019
Event22nd International ESAFORM Conference on Material Forming, ESAFORM 2019 - Vitoria-Gasteiz, Spain
Duration: 8 May 201910 May 2019

Publication series

NameAIP Conference Proceedings
Volume2113
ISSN (Print)0094-243X
ISSN (electronic)1551-7616

Abstract

Within the Collaborative Research Centre (CRC) 1153 Tailored Forming a process chain for the manufacturing of hybrid high performance components is developed. Exemplary process steps consist of deposit welding of high-performance steel onto low cost steel and pre-shaping the component by cross-wedge rolling (CWR), supported by an optical quality control system. A combination of a fringe projection profilometry setup with a thermal imaging camera is used to monitor the components before and after the CWR process. Both geometry and thermal imaging data are combined, assigning temperature values to 3D data points. In this paper, the acquisition of combined temperature-geometry data is described. The data before and after the CWR is compared to the input and the result data of the forming simulation that was used to design the CWR process. The comparison shows the quality and sustainability of the heating process as well as the influence of the transportation of the hot component prior to forming. Additionally, the accuracy of the used simulation model and software are evaluated by data examination. The examination shows the limits of idealised and simplified assumptions for the simulation, e.g., a homogeneous temperature distribution before forming or the modelling of the heat transfer on contact surfaces.

ASJC Scopus subject areas

Cite this

Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling. / Quentin, Lorenz; Kruse, Jens; Beermann, Rüdiger et al.
Proceedings of the 22nd International ESAFORM Conference on Material Forming. ed. / Pedro Arrazola; Eneko Saenz de Argandona; Nagore Otegi; Joseba Mendiguren; Mikel Saez de Buruaga; Aitor Madariaga; Lander Galdos. 2019. 040018 (AIP Conference Proceedings; Vol. 2113).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Quentin, L, Kruse, J, Beermann, R, Reinke, C, Langner, J, Stonis, M, Kästner, M & Reithmeier, E 2019, Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling. in P Arrazola, E Saenz de Argandona, N Otegi, J Mendiguren, M Saez de Buruaga, A Madariaga & L Galdos (eds), Proceedings of the 22nd International ESAFORM Conference on Material Forming., 040018, AIP Conference Proceedings, vol. 2113, 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019, Vitoria-Gasteiz, Spain, 8 May 2019. https://doi.org/10.1063/1.5112552
Quentin, L., Kruse, J., Beermann, R., Reinke, C., Langner, J., Stonis, M., Kästner, M., & Reithmeier, E. (2019). Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling. In P. Arrazola, E. Saenz de Argandona, N. Otegi, J. Mendiguren, M. Saez de Buruaga, A. Madariaga, & L. Galdos (Eds.), Proceedings of the 22nd International ESAFORM Conference on Material Forming Article 040018 (AIP Conference Proceedings; Vol. 2113). https://doi.org/10.1063/1.5112552
Quentin L, Kruse J, Beermann R, Reinke C, Langner J, Stonis M et al. Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling. In Arrazola P, Saenz de Argandona E, Otegi N, Mendiguren J, Saez de Buruaga M, Madariaga A, Galdos L, editors, Proceedings of the 22nd International ESAFORM Conference on Material Forming. 2019. 040018. (AIP Conference Proceedings). doi: 10.1063/1.5112552
Quentin, Lorenz ; Kruse, Jens ; Beermann, Rüdiger et al. / Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling. Proceedings of the 22nd International ESAFORM Conference on Material Forming. editor / Pedro Arrazola ; Eneko Saenz de Argandona ; Nagore Otegi ; Joseba Mendiguren ; Mikel Saez de Buruaga ; Aitor Madariaga ; Lander Galdos. 2019. (AIP Conference Proceedings).
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title = "Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling",
abstract = "Within the Collaborative Research Centre (CRC) 1153 Tailored Forming a process chain for the manufacturing of hybrid high performance components is developed. Exemplary process steps consist of deposit welding of high-performance steel onto low cost steel and pre-shaping the component by cross-wedge rolling (CWR), supported by an optical quality control system. A combination of a fringe projection profilometry setup with a thermal imaging camera is used to monitor the components before and after the CWR process. Both geometry and thermal imaging data are combined, assigning temperature values to 3D data points. In this paper, the acquisition of combined temperature-geometry data is described. The data before and after the CWR is compared to the input and the result data of the forming simulation that was used to design the CWR process. The comparison shows the quality and sustainability of the heating process as well as the influence of the transportation of the hot component prior to forming. Additionally, the accuracy of the used simulation model and software are evaluated by data examination. The examination shows the limits of idealised and simplified assumptions for the simulation, e.g., a homogeneous temperature distribution before forming or the modelling of the heat transfer on contact surfaces.",
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