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Erschienen in: The International Journal of Advanced Manufacturing Technology 1-4/2019

27.10.2019 | ORIGINAL ARTICLE

A new way to predict the mechanical properties of friction stir spot welding for Al-Cu joints by energy analysis of the vibration signals

verfasst von: Mercedes Pérez de la Parte, Juan Carlos Azofra, Hipólito Domingo Carvajal Fals, Angel Sánchez Roca, Mario César Sánchez Orozco, Emilio Jiménez Macías

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 1-4/2019

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Abstract

A new proposal for evaluating the relationship between the energy of vibration signals produced by a friction stir spot welding process and mechanical properties of dissimilar AA1050 H24 aluminum alloy–Cu lap joints is presented here. We characterized the vibration signals during the FSSW process to correlate them with microhardness and the failure load of the joints. The influences of dwell time and tool rotation speed on the mechanical properties of the join and its correlation with the energy of the vibration signals were studied. Macro images and microhardness maps of welds were also produced. The strong correlation found confirms that the energy of the vibration signals on the Z and Y axes can be used as an indicator of mechanical properties and as a novel method for weld evaluation. Finally, results based on numerical predictions are compared with the experimental failure load. The mathematical model obtained to calculate failure load values based on friction stir spot welding process parameters, also including the energy of vibration signals, improves the fit from 74.3% (with analyzed process parameters only) to 93.8% with the addition of the energy of the signal.

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Literatur
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Zurück zum Zitat Smith CB (2007) Robots and machines for friction stir welding/processing. In: Mishra RS, Mahoney MW (eds) Friction stir welding and processing. ASM International, Materials Park, pp 219–233 Smith CB (2007) Robots and machines for friction stir welding/processing. In: Mishra RS, Mahoney MW (eds) Friction stir welding and processing. ASM International, Materials Park, pp 219–233
18.
Zurück zum Zitat Raju KR, Varma BM, Kumar NR (2013) Condition based maintenance (CBM) through vibration spectrum analysis for improving the reliability of B-1 conveyor (DIVE542) diagnosis of fault through vibration spectrum analysis technique. Int J Innov Tech Expl Eng 2(2):58–62 Raju KR, Varma BM, Kumar NR (2013) Condition based maintenance (CBM) through vibration spectrum analysis for improving the reliability of B-1 conveyor (DIVE542) diagnosis of fault through vibration spectrum analysis technique. Int J Innov Tech Expl Eng 2(2):58–62
Metadaten
Titel
A new way to predict the mechanical properties of friction stir spot welding for Al-Cu joints by energy analysis of the vibration signals
verfasst von
Mercedes Pérez de la Parte
Juan Carlos Azofra
Hipólito Domingo Carvajal Fals
Angel Sánchez Roca
Mario César Sánchez Orozco
Emilio Jiménez Macías
Publikationsdatum
27.10.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 1-4/2019
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-04396-5

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