EcoForge

Energieeffiziente Prozesskette zur Herstellung von Hochleistungs-Schmiedebauteilen

verfasst von: M. U.A. Fischer, Hans Henning Dickert, Wolfgang Bleck, Adis Huskic, Mohammad Kazhai, Tarik Hadifi, Anas Bouguecha, Bernd Arno Behrens, Nadja Labanova, Alexander Felde, Mathias Liewald, Fedor Egorov, Martin Gabrecht, Ekkard Brinksmeier, Wilfried Reimche, Oliver Bruchwald, Wojciech Frackowiak, Hans Jürgen Maier, Thibaud Bucquet, Björn Hinrichs, Udo Fritsching, Timo Hoja, Franz Hoffmann, Hans Werner Zoch
Abstract: In the project "EcoForge: Resource-efficient process chains for high performance parts" a new efficient forging process chain is developed, which allows a saving in energy of more than 30 %. This process chain will be optimized for highstrength ductile bainitic steel (HDB). The forging heat is directly utilized to substitute reheating process steps by a controlled heat treatment. The microstructural transformation is controlled by the use of a flexible spray field. Simultaneously the microstructural state is detected by an eddy current sensor. This detection is in-situ and online. The heat treatment is followed by further process steps, such as machining and forging at elevated temperatures. These process steps are performed in a temperature range of 300-500 °C in order to decrease the mechanical forces impacting on forging and cutting tools. The created microstructures are quantitatively investigated by a newly developed SEM-image analysis routine. Simultaneous to the experimental analyses, detailed numerical investigations are performed to simulate the microstructural evolution and the whole process chain by means of suitable numerical models.
Organisationseinheit(en): Institut für Umformtechnik und Umformmaschinen
Institut für Werkstoffkunde
Externe Organisation(en): Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
Universität Stuttgart
Leibniz-Institut für Werkstofforientierte Technologien
Typ: Artikel
Journal: HTM - Journal of Heat Treatment and Materials
Band: 69
Seiten: 209-219
Anzahl der Seiten: 11
ISSN: 1867-2493
Publikationsdatum: 08.2014
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Wirtschaftsingenieurwesen und Fertigungstechnik, Metalle und Legierungen, Werkstoffchemie
Elektronische Version(en): https://doi.org/10.3139/105.110220 (Zugang: Geschlossen)
: Details im Forschungsportal „Research@Leibniz University“

BibTeX

@article{522f6ef314e049ff9923e46bf61bae1b,
title = "EcoForge: Energieeffiziente Prozesskette zur Herstellung von Hochleistungs-Schmiedebauteilen",
abstract = "In the project {"}EcoForge: Resource-efficient process chains for high performance parts{"} a new efficient forging process chain is developed, which allows a saving in energy of more than 30 %. This process chain will be optimized for highstrength ductile bainitic steel (HDB). The forging heat is directly utilized to substitute reheating process steps by a controlled heat treatment. The microstructural transformation is controlled by the use of a flexible spray field. Simultaneously the microstructural state is detected by an eddy current sensor. This detection is in-situ and online. The heat treatment is followed by further process steps, such as machining and forging at elevated temperatures. These process steps are performed in a temperature range of 300-500 °C in order to decrease the mechanical forces impacting on forging and cutting tools. The created microstructures are quantitatively investigated by a newly developed SEM-image analysis routine. Simultaneous to the experimental analyses, detailed numerical investigations are performed to simulate the microstructural evolution and the whole process chain by means of suitable numerical models.",
keywords = "Bainite, Bainite sensor, Controlled cooling, Forging heat, Forging process chain, Forming at elevated temperature, Harmonic analysis, Heat transfer simulation, High performance components, High temperature eddy-current technology, Hot machining, Low-temperature transformation, Material transformation, Microstructure analysis, Object-based image analysis, Resource efficiency",
author = "Fischer, {M. U.A.} and Dickert, {Hans Henning} and Wolfgang Bleck and Adis Huskic and Mohammad Kazhai and Tarik Hadifi and Anas Bouguecha and Behrens, {Bernd Arno} and Nadja Labanova and Alexander Felde and Mathias Liewald and Fedor Egorov and Martin Gabrecht and Ekkard Brinksmeier and Wilfried Reimche and Oliver Bruchwald and Wojciech Frackowiak and Maier, {Hans J{\"u}rgen} and Thibaud Bucquet and Bj{\"o}rn Hinrichs and Udo Fritsching and Timo Hoja and Franz Hoffmann and Zoch, {Hans Werner}",
year = "2014",
month = aug,
doi = "10.3139/105.110220",
language = "Multiple languages",
volume = "69",
pages = "209--219",
journal = "HTM - Journal of Heat Treatment and Materials",
issn = "1867-2493",
publisher = "Carl Hanser Verlag GmbH & Co. KG",
number = "4",
}