Application of processing maps and numerical modelling for identification of parameters and limitations of hot forging process of 80MnSi8-6 steel
The processing maps developed by dynamic material modelling (DMM) method are now widely used in the design of hot forming processes. However, this applies to those processes that are relatively fast or are carried out under isothermal conditions, when it is possible to maintain the deformation param...
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Published in | Archives of Civil and Mechanical Engineering Vol. 23; no. 4; p. 240 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Springer London
09.10.2023
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 2083-3318 1644-9665 2083-3318 |
DOI | 10.1007/s43452-023-00783-8 |
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Abstract | The processing maps developed by dynamic material modelling (DMM) method are now widely used in the design of hot forming processes. However, this applies to those processes that are relatively fast or are carried out under isothermal conditions, when it is possible to maintain the deformation parameters within the processing window. In the case of multi-stage free forging, the temperature successively decreases during subsequent operations and is increased during inter-process reheating. Under such conditions, processing maps in direct form are not applicable. The proposed solution is to implement the data obtained by the DMM method into calculations carried out by the finite element method (FEM). This approach leads to obtain the distributions of DMM parameters in the volume of the feedstock at successive forging stages. Selected results of a combined DMM/FEM analysis of a multi-stage hot forging process of 80MnSi8-6 steel are presented. The starting data for the analysis were the flow curves of this material, determined from compression tests. The processing maps were developed and processing windows were determined. The results of the DMM analysis were verified by microstructure observations. Data from the DMM analysis were implemented into QForm software using LUA scripts. An integrated FEM/DMM numerical analysis of the process of a multi-step hot free forging of an example product was performed. The geometry of the tools and a sequence of operations were developed. The distributions of the DMM parameters and the hot deformation activation energy in the forging volume after successive forging sequences were analyzed. |
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AbstractList | The processing maps developed by dynamic material modelling (DMM) method are now widely used in the design of hot forming processes. However, this applies to those processes that are relatively fast or are carried out under isothermal conditions, when it is possible to maintain the deformation parameters within the processing window. In the case of multi-stage free forging, the temperature successively decreases during subsequent operations and is increased during inter-process reheating. Under such conditions, processing maps in direct form are not applicable. The proposed solution is to implement the data obtained by the DMM method into calculations carried out by the finite element method (FEM). This approach leads to obtain the distributions of DMM parameters in the volume of the feedstock at successive forging stages. Selected results of a combined DMM/FEM analysis of a multi-stage hot forging process of 80MnSi8-6 steel are presented. The starting data for the analysis were the flow curves of this material, determined from compression tests. The processing maps were developed and processing windows were determined. The results of the DMM analysis were verified by microstructure observations. Data from the DMM analysis were implemented into QForm software using LUA scripts. An integrated FEM/DMM numerical analysis of the process of a multi-step hot free forging of an example product was performed. The geometry of the tools and a sequence of operations were developed. The distributions of the DMM parameters and the hot deformation activation energy in the forging volume after successive forging sequences were analyzed. |
ArticleNumber | 240 |
Author | Prahl, Ulrich Zyguła, Krystian Łukaszek-Sołek, Aneta Lisiecki, Łukasz Śleboda, Tomasz Korpała, Grzegorz Wojtaszek, Marek Jabłońska, Magdalena Barbara |
Author_xml | – sequence: 1 givenname: Marek orcidid: 0000-0001-6942-8388 surname: Wojtaszek fullname: Wojtaszek, Marek email: wojtaszek@agh.edu.pl organization: Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology – sequence: 2 givenname: Łukasz surname: Lisiecki fullname: Lisiecki, Łukasz organization: Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology – sequence: 3 givenname: Aneta surname: Łukaszek-Sołek fullname: Łukaszek-Sołek, Aneta organization: Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology – sequence: 4 givenname: Grzegorz surname: Korpała fullname: Korpała, Grzegorz organization: Institut für Metallformung, TU Bergakademie Freiberg – sequence: 5 givenname: Krystian surname: Zyguła fullname: Zyguła, Krystian organization: Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology – sequence: 6 givenname: Tomasz surname: Śleboda fullname: Śleboda, Tomasz organization: Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology – sequence: 7 givenname: Magdalena Barbara surname: Jabłońska fullname: Jabłońska, Magdalena Barbara organization: Faculty of Materials Engineering, Silesian University of Technology – sequence: 8 givenname: Ulrich surname: Prahl fullname: Prahl, Ulrich organization: Institut für Metallformung, TU Bergakademie Freiberg |
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SubjectTerms | Bainitic steel Bainitic transformations Civil Engineering Compression tests Data analysis Deformation Energy consumption Engineering Finite element method Heating Hot forging Hot forming Manufacturing Mathematical models Mechanical Engineering Mechanical properties Microstructure Numerical analysis Numerical models Original Article Parameter identification Process mapping Steel products Structural Materials Temperature |
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Title | Application of processing maps and numerical modelling for identification of parameters and limitations of hot forging process of 80MnSi8-6 steel |
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