An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint

The present publication deals with an energy-oriented approach to the statistical analysis of rotational friction welding processes. To illustrate the methodological approach, it is applied to investigate the effects of energy flow on material flow behavior and joint quality during friction welding...

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Main Authors: M. Winkler, C. Rößler, N. Harriehausen, S. Jüttner, D. Schmicker, F. Trommer
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Journal of Advanced Joining Processes
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666330924000670
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author M. Winkler
C. Rößler
N. Harriehausen
S. Jüttner
D. Schmicker
F. Trommer
author_facet M. Winkler
C. Rößler
N. Harriehausen
S. Jüttner
D. Schmicker
F. Trommer
author_sort M. Winkler
collection DOAJ
description The present publication deals with an energy-oriented approach to the statistical analysis of rotational friction welding processes. To illustrate the methodological approach, it is applied to investigate the effects of energy flow on material flow behavior and joint quality during friction welding of an AA6060 alloy with a low-alloy 16MnCr5 filler steel. The influences of the setting parameters on the energetic states are first analyzed by means of an initial screening. The evaluation using process simulation and statistical methods enables the generation of regressive response surfaces for the friction power, the friction time and the resulting induced friction energy. Based on these findings, a second experimental field is formed and evaluated, which considers the interaction between the energy input of the frictioning stage and the workpiece forging. This new approach results in the functional separation of the frictioning and forging stage, which eliminates the usual statistical interaction effects and thus facilitates analysis and optimization. The qualitative result variable required for the purpose of interpreting the results is the ultimate tensile strength of the friction-welded joint. Additionally determined hardness curves provide information about the properties of the thermally influenced zone and strength-relevant process sequences. The result is that, in addition to the amount of energy induced, the frictional power with which the former is induced also has a considerable influence on the joint strength, as it influences the material flow and the properties of the joining zone.
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publishDate 2024-11-01
publisher Elsevier
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series Journal of Advanced Joining Processes
spelling doaj-art-8553d7af0d9e4136acfe600c75d85c272025-08-20T02:38:18ZengElsevierJournal of Advanced Joining Processes2666-33092024-11-011010025110.1016/j.jajp.2024.100251An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-jointM. Winkler0C. Rößler1N. Harriehausen2S. Jüttner3D. Schmicker4F. Trommer5University of Applied Science Magdeburg-Stendal, Germany; Corresponding author.Sampro GmbH, GermanySampro GmbH, GermanyOtto-von-Guericke-University Magdeburg, GermanySampro GmbH, GermanyUniversity of Applied Science Magdeburg-Stendal, GermanyThe present publication deals with an energy-oriented approach to the statistical analysis of rotational friction welding processes. To illustrate the methodological approach, it is applied to investigate the effects of energy flow on material flow behavior and joint quality during friction welding of an AA6060 alloy with a low-alloy 16MnCr5 filler steel. The influences of the setting parameters on the energetic states are first analyzed by means of an initial screening. The evaluation using process simulation and statistical methods enables the generation of regressive response surfaces for the friction power, the friction time and the resulting induced friction energy. Based on these findings, a second experimental field is formed and evaluated, which considers the interaction between the energy input of the frictioning stage and the workpiece forging. This new approach results in the functional separation of the frictioning and forging stage, which eliminates the usual statistical interaction effects and thus facilitates analysis and optimization. The qualitative result variable required for the purpose of interpreting the results is the ultimate tensile strength of the friction-welded joint. Additionally determined hardness curves provide information about the properties of the thermally influenced zone and strength-relevant process sequences. The result is that, in addition to the amount of energy induced, the frictional power with which the former is induced also has a considerable influence on the joint strength, as it influences the material flow and the properties of the joining zone.http://www.sciencedirect.com/science/article/pii/S2666330924000670Friction weldingAluminumSteelPowerEnergyStatistical design of experiments (DoE)
spellingShingle M. Winkler
C. Rößler
N. Harriehausen
S. Jüttner
D. Schmicker
F. Trommer
An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint
Journal of Advanced Joining Processes
Friction welding
Aluminum
Steel
Power
Energy
Statistical design of experiments (DoE)
title An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint
title_full An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint
title_fullStr An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint
title_full_unstemmed An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint
title_short An energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum-steel-joint
title_sort energetic approach to the statistical analysis and optimization of friction welding processes applied to an aluminum steel joint
topic Friction welding
Aluminum
Steel
Power
Energy
Statistical design of experiments (DoE)
url http://www.sciencedirect.com/science/article/pii/S2666330924000670
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