User independent tool for the analysis of data from tensile testing for database systems
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Nima Babaei
Nima Babaei, MSc, born in 1992, studied materials engineering. He works as scientific researcher and PhD candidate at the IEHK Steel Institute of RWTH Aachen University. He has professional experience in the field of alloy design, mechanical testing and hydrogen embrittlement.
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Jing Wang
Jing Wang, MSc, born in 1991, studied materials engineering. He works as scientific researcher and PhD candidate at the IEHK Steel Institute of RWTH Aachen University. He has professional experience in the field of programming, material testing digitalization, cloud computing, and machine learning.
Elisabeth Kisseler, MA, MSc, born in 1992, studied social sciences and environmental engineering. She works as scientific research assistant at the IEHK Steel Institute of RWTH Aachen University. She has professional experience in data analysis and programming.
Marc Ackermann, Dr.-Ing., born in 1989, studied Business Administration and Engineering: Materials and Process Engineering. He works as Postdoc at the IEHK Steel Institute of RWTH Aachen in the field of data-driven material description.
Sebastian Wipp, Dr.-Ing., born in 1986, studied materials Engineering at RWTH Aachen University. Former head of materials characterization group.
Alexander Gramlich, Dr.-Ing., born in 1991, studied materials engineering at RWTH Aachen University and Oxford University. In his current position at the IEHK Steel Institute he works as a group-leader for materials characterization and as Postdoc for sustainable steel design.
Ulrich Krupp, Prof. Dr.-Ing., born in 1968, studied mechanical engineering at Siegen University. He has been studying process microstructure properties of metallic materials at various places and is currently the head of IEHK Steel Institute at RWTH Aachen University.
Abstract
Data streams in science and economy are becoming increasingly automatized. This has various advantages compared to previous, user-dependent analyses, in which the same results are analyzed differently by different persons. Even though these differences are only of a certain degree, they can lead to false estimations of underlying material and process parameters as well as to missing comparability. In order to automatize previously user-dependent processes in the analysis of material tests, a modular database management system, called idCarl, has been developed. This system places a module as analysis pipeline between the experimental machine and the database. The database management system can be expanded with diverse modules, enabling the generation of user-independent data, which are fed automatically into the database. To provide an example, a module is applied to the common procedure of tensile testing based on DIN EN ISO 6892 and CWA 15261-2. The module determines automatically Young’s modulus and other parameters derived thereof. The method for determining the measurement uncertainties of the Young’s modulus is improved and compatibility with the “Guide to the expression of uncertainty in measurement” (GUM) is achieved. The existing method in ISO and CWA standards provides in some cases an underestimation of about 112 %.
About the authors
Nima Babaei, MSc, born in 1992, studied materials engineering. He works as scientific researcher and PhD candidate at the IEHK Steel Institute of RWTH Aachen University. He has professional experience in the field of alloy design, mechanical testing and hydrogen embrittlement.
Jing Wang, MSc, born in 1991, studied materials engineering. He works as scientific researcher and PhD candidate at the IEHK Steel Institute of RWTH Aachen University. He has professional experience in the field of programming, material testing digitalization, cloud computing, and machine learning.
Elisabeth Kisseler, MA, MSc, born in 1992, studied social sciences and environmental engineering. She works as scientific research assistant at the IEHK Steel Institute of RWTH Aachen University. She has professional experience in data analysis and programming.
Marc Ackermann, Dr.-Ing., born in 1989, studied Business Administration and Engineering: Materials and Process Engineering. He works as Postdoc at the IEHK Steel Institute of RWTH Aachen in the field of data-driven material description.
Sebastian Wipp, Dr.-Ing., born in 1986, studied materials Engineering at RWTH Aachen University. Former head of materials characterization group.
Alexander Gramlich, Dr.-Ing., born in 1991, studied materials engineering at RWTH Aachen University and Oxford University. In his current position at the IEHK Steel Institute he works as a group-leader for materials characterization and as Postdoc for sustainable steel design.
Ulrich Krupp, Prof. Dr.-Ing., born in 1968, studied mechanical engineering at Siegen University. He has been studying process microstructure properties of metallic materials at various places and is currently the head of IEHK Steel Institute at RWTH Aachen University.
Acknowledgments
The authors wish to acknowledge the Shougang Group for providing and sharing the chemical compositions of two steel grades DH9800 and PH1800.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research 393 Foundation) under Germany’s Excellence Strategy – EXC 2023 Internet of Production – 394 390621612. Website: https://www.iop.rwth-aachen.de.
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Data availability: The raw data can be obtained on request from the corresponding author.
Table A1 presents the chemical composition of investigated alloys.
Chemical composition of the investigated materials. Alloying contents presented in weight percent.
| Alloy | C | Si | Mn | P | S | Cr | Ni | Mo | N | Trace elements | Fe |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DH980 | 0.19 | 0.5 | 2.1 | – | – | 0.3 | – | – | – | 0.6–0.9 Al | bal. |
| 0.22 | 0.7 | 2.3 | 0.5 | 0.03–0.05 Nb | |||||||
| PH1800 | 0.3 | 0.1 | 1.2 | – | – | 0.1 | – | – | – | 0.03–0.05 Nb | bal. |
| 0.45 | 0.3 | 1.5 | 0.3 | 0.1–0.3 V | |||||||
| 0.01–0.04 Ti | |||||||||||
| 1.4301 [25] | – | – | – | – | – | 17.5 | 8.0 | – | – | bal. | |
| (AISI 304) | 0.07 | 1.0 | 2.0 | 0.045 | 0.03 | 19.5 | 10.5 | 0.11 | |||
| 1.4310 [25] | 0.05 | – | – | – | – | 16.00 | 6.00 | – | – | bal. | |
| (AISI 301) | 0.15 | 2.0 | 2.0 | 0.045 | 0.015 | 19.00 | 9.50 | 0.80 | 0.11 |
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- User independent tool for the analysis of data from tensile testing for database systems
- Evaluation of corrugated core configuration effects on low-velocity impact response in metallic sandwich panels
- Effect of total heat input on coaxiality of rotor shaft in laser cladding
- Determination of characteristic properties of Co3O4 loaded LaFe x Al12−x O19 hexaaluminates
- Investigation on quasi-static axial crushing of Al/PVC foam-filled Al6063-T5 tubes
- Experimental analysis of the effects of different production directions on the mechanical characteristics of ABS, PLA, and PETG materials produced by FDM
- Interfacial microstructure and mechanical properties of Si3N4/Invar joints using Ag–Cu–In–Ti with Cu foil as an interlayer
- Properties of chemically foamed polypropylene materials for application to automobile interior door panels
- Tribological and thermal characteristics of copper-free brake friction composites
- Dry tribological behaviour of microwave-assisted sintered AA2024 matrix hybrid composites reinforced by TiC/B4C/nano-graphite particles
- Erosion rate of AA6082-T6 aluminum alloy subjected to erosive wear determined by the meta-heuristic (SCA) based ANFIS method
- Mechanical properties of elevator ropes and belts exposed to corrosion and elevated temperatures
- Variants of friction stir based processes: review on process fundamentals, material attributes and mechanical properties
- Performance of conventional and wiper CBN inserts under various cooling conditions in hard turning of AISI 52100 steel
Artikel in diesem Heft
- Frontmatter
- User independent tool for the analysis of data from tensile testing for database systems
- Evaluation of corrugated core configuration effects on low-velocity impact response in metallic sandwich panels
- Effect of total heat input on coaxiality of rotor shaft in laser cladding
- Determination of characteristic properties of Co3O4 loaded LaFe x Al12−x O19 hexaaluminates
- Investigation on quasi-static axial crushing of Al/PVC foam-filled Al6063-T5 tubes
- Experimental analysis of the effects of different production directions on the mechanical characteristics of ABS, PLA, and PETG materials produced by FDM
- Interfacial microstructure and mechanical properties of Si3N4/Invar joints using Ag–Cu–In–Ti with Cu foil as an interlayer
- Properties of chemically foamed polypropylene materials for application to automobile interior door panels
- Tribological and thermal characteristics of copper-free brake friction composites
- Dry tribological behaviour of microwave-assisted sintered AA2024 matrix hybrid composites reinforced by TiC/B4C/nano-graphite particles
- Erosion rate of AA6082-T6 aluminum alloy subjected to erosive wear determined by the meta-heuristic (SCA) based ANFIS method
- Mechanical properties of elevator ropes and belts exposed to corrosion and elevated temperatures
- Variants of friction stir based processes: review on process fundamentals, material attributes and mechanical properties
- Performance of conventional and wiper CBN inserts under various cooling conditions in hard turning of AISI 52100 steel
