TY - GEN

T1 - Analysis of mapped temperature data on geometry points to characterize the influence of temperature deviations on cross-wedge rolling

AU - Quentin, Lorenz

AU - Kruse, Jens

AU - Beermann, Rüdiger

AU - Reinke, Carl

AU - Langner, Jan

AU - Stonis, Malte

AU - Kästner, Markus

AU - Reithmeier, Eduard

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 subprojects B1 and C5. The authors would like to thank the German Research Foundation (DFG) for the financial and organisational support of this project.

PY - 2019/7/2

Y1 - 2019/7/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85068859789&partnerID=8YFLogxK

U2 - 10.1063/1.5112552

DO - 10.1063/1.5112552

M3 - Conference contribution

AN - SCOPUS:85068859789

T3 - AIP Conference Proceedings

BT - Proceedings of the 22nd International ESAFORM Conference on Material Forming

A2 - Arrazola, Pedro

A2 - Saenz de Argandona, Eneko

A2 - Otegi, Nagore

A2 - Mendiguren, Joseba

A2 - Saez de Buruaga, Mikel

A2 - Madariaga, Aitor

A2 - Galdos, Lander

T2 - 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019

Y2 - 8 May 2019 through 10 May 2019

ER -