Acta Polytechnica DOI:10.14311/AP.2020.60.0415 Acta Polytechnica 60(5):415–419, 2020 © Czech Technical University in Prague, 2020 available online at https://ojs.cvut.cz/ojs/index.php/ap THE INFLUENCE OF FRICTION STIR WELDED PROCESS PARAMETERS OF AA2519-T62 ON JOINT QUALITY DEFINED BY NON-DESTRUCTIVE LASER AMPLIFIED ULTRASONIC METHOD AND BY MICROSTRUCTURE ANALYSIS Alexander Kravcova,∗, Robert Kosturekb, Lucjan Śnieżekb, Janusz Kluczyńskib, Ondřej Franeka, Nikolaj Morozova, Pawel Maciejewskic a Czech Technical University in Prague, Faculty of Civil Engineering, Department of Construction Technology, Thákurova 7, 160 00 Prague, Czech Republic b Military University of Technology, Faculty of Mechanical Engineering, Institute of Robots & Machine Design, gen. S. Kaliskiego Street 2, Warsaw, 00-908, Poland c War Studies University, Management and Command Faculty, gen. Antoniego Chruściela "Montera" Street 103, Warsaw, 00-910, Poland ∗ corresponding author: kravtale@fsv.cvut.cz Abstract. The presented research contains a description of a non-destructive laser ultrasound internal structure analysis of aluminium joints made by friction stir welding. In the research, four selected technological parameter groups were taken into account. Modifications used in different parameter groups included changing tool traverse speeds and also its rotation speeds. The most important goal of this research was to determine the joint quality using a non-destructive laser amplified ultrasound method. To verify obtained test results, an additional microstructural analysis was also conducted. Keywords: Friction Stir Welding, aluminum alloys, microstructure analysis, laser ultrasonic structur- oscopy, non-destructive testing. 1. Introduction FSW (Friction Stir Welding) is a very promising method in terms of joining aluminium alloys, which are difficult to weld using conventional methods [1–4]. This method is a solid-state welding process, where the joint is formed by plasticizing and mixing two workpieces by a specially designed tool [1, 5–7]. An example of an aluminium alloy difficult to weld by conventional means is AA2519 – armour grade alloy used for light military constructions [8, 9]. Due to the relatively high concentration of copper (above 5.3%), solidification of this alloy in traditional welding causes a problem of low melting phase Al2Cu (548 °C) and as a result, a high risk of hot cracking [10–12]. Although the low temperature of the FSW process (400−500 °C) allows to avoid this problem, it is still important to properly select welding parameters determining the quality of the obtained joint [13–16]. It is very important to determine the joint quality not only using destructive but also non-destructive methods to analyse joints right after the process. It is very important to determine the proper joint-quality check method to ensure the required welded material properties. Ultrasound testing methods are useful in determining the internal quality of the material includ- ing internal and surface inclusions and defects [17–19]. This method is also useful for analysing material prop- erties by measuring the shear wave velocities [20, 21]. The ability to use a laser to amplify the signal allows the possibility of analysing elements whose thickness is greater than 10 millimetres [22]. 2. Materials and methods The workpiece to be joined was a 5mm thick AA2519- T62 extrusion with the chemical composition pre- sented in Table 1. The friction stir welding process was performed using the ESAB FSW Legio 4UT ma- chine with an axial force equal to 17 kN and the tilt angle of the MX Triflute tool set to 2o. The used welding parametres, together with a designation of the samples, are presented in Table 2. The joint was analysed along the entire length of the weld and also perpendicularly to the traverse transition direction. This kind of analysis was made using an optoacous- tic equipment and a measuring technique based on the generation of an ultrasonic signal, with ultrashort, high power pulses amplified by a 10-ns 0.1mJ pulse generated by a Nd: YAG laser, which is transmitted to the front side of a special optoacoustic generator (OAG) via an optic fibre cable, an optical beam form- ing system, and a transparent prism. The OAG is a plane-parallel plate made of ad hoc plastic absorbing light [23]. The transparent prism is in an acoustic contact with the OAG, being at the same time a sound conduct- ing channel of a broadband piezoelectric transducer 415 https://doi.org/10.14311/AP.2020.60.0415 https://ojs.cvut.cz/ojs/index.php/ap A. Kravcov, R. Kosturek , L. Śnieżek et al. Acta Polytechnica Fe Si Cu Zn Ti Mn Mg Ni Zr Sc V Al 0.11 0.08 0.32 0.05 0.08 0.17 0.33 0.02 0.19 0.16 0.10 Base Table 1. Chemical composition of AA2519-T62 extrusion. Sample designation Tool rotation speed Tool traverse speed [rpm] [mm/min] T41 400 100 T81 800 100 T82 800 200 T84 800 400 Table 2. Welding parameters and designation of samples. made of polyvinylidene fluoride (PVDF) film. One- side access and the acoustic contact are ensured by pressing the OAG plane to the front side of the object with a thin layer of contact fluid in between. The laser pulse absorption by the near-surface layer of the OAG and the subsequent thermal expansion produce an ultrasonic pressure pulse with a known temporal shape and amplitude. The pulse wave propagates through the prism and is recorded by the piezoelectric sensor (direct wave) and towards the sample, where it is partially reflected at the OAG-sample interface due to difference in acoustic impedance; this reflection is recorded by the piezoelectric sensor with the time delay equal to the double travel time in the OAG. The remainder of the pulse energy enters the sample and is scattered by its heterogeneities and reflected from the back side of the sample. In the case of sufficiently strong scattering (which is indicative of a high degree of heterogeneity), the reflection from the back-side may not be observed. Additionally, the samples were sectioned perpendicularly to the welding direction and were metallurgically examined. The microstruc- ture investigation was performed using an Olympus LEXT OLS 4100 digital light microscope. As part of the metallographic sample preparation, samples were mounted in resin, ground with an abrasive paper of 80, 320, 600, 1200, and 2400 gradations, and polished using diamond pastes (3 and 1 µm gradation). The samples were etched using the Keller reagent (20ml H2O + 5ml HNO3 + 2ml HF + 1mL HCl) with an etching time equal to 5 s. 3. Results The internal structure of the samples is shown in Fig- ure 1. In both samples, where the traverse speed was 100 mm/min (T41 & T81), some imperfections can be observed, they appear as different coloured structures and wave shape distortions. This could also be con- nected with the density change, which is caused by the welding process. As can be seen, the wave shape dis- tortions are present in the samples obtained with the lowest tool traverse speed, which entails the longest affecting time of the tool on the welded AA2519-T62. This leads to phenomena, such as substantial dissolu- tion and coarsening of the strengthening phase and fragmentation of the remaining Al2Cu precipitates in the stir zone, and it can partly explain the wave distortions in Figure 1 [14]. In the course of scanning, local velocities are de- termined. The velocities dependent on density are related to local modules of elasticity; they can be calculated as follows: E = ρC2 t [ 3 − 1 x2 − 1 ] (1) G = ρC2 t (2) where: E is Young’s modulus, G is shear modulus. Note that an S-wave pulse is recorded in the interval between the first and second reflections of P-waves from the back side; the time delay of the S-wave’s arrival can be used to calculate its velocity. Density was determined by hydrostatic weighing of the samples in distilled water. The mean density of the AA2519 alloy is ρ = 2 820 000 kg·m−3. The average obtained values of the elastic moduli for the aluminium alloy were E = 67.5GPa and G = 28.5GPa. Zones of recrystallization and thermomechanical affection relative to the base material are distinctly distinguishable in the analysis. During the scan, it was found that the elastic modules in the thermo- mechanically affected zone and the recrystallization zone are reduced by 15%, relative to the base material. The changes in elastic modules in these areas can be explained by far-reaching changes in the welded material microstructure. The mechanical properties of AA2519 are mostly determined by the presence of the strengthening phase. During the FSW process, this phase undergoes disad- vantageous evolutions mostly in the recrystallization zone and thermo-mechanically affected zone [1, 4]. To verify the results from the ultrasound method, light microscope observations were performed. The macrostructure of the T81 joint is presented in Fig- ure 2 with the retreating and advancing side situ- ated on the right and left side, respectively. The macrostructure consists of zones typical for the FSW 416 vol. 60 no. 5/2020 The influence of friction stir welded process parameters. . . Figure 1. Internal structure of FSW samples: (a) imperfection in the middle of the T41 joint (red box) – material density change, (b) imperfection in the middle of the T81 joint (red box) – voids and material density change, (c) regular structure of the T82 joint stir zone, (d) regular structure of the T84 joint stir zone. Figure 2. Macrostructure of T81 joint. process: the dynamically recrystallized stir zone (SZ), thermo-mechanically affected zone (TMAZ), heat- affected zone (HAZ) and base material (BM). The microstructure analysis of the T81 sample did not re- veal any imperfections in the joint. At the same time, in samples T41, T82 and T84, the light microscopy ob- servations allowed to identify the imperfections, which are presented in Figure 3. In the case of the T41 sample, the low value of the tool rotation speed (400 rpm) caused the formation of imperfections close to the flash on the advancing side of the joint as a result of insufficient material plasticization (Figure 3a). The investigation of the T82 and T84 samples revealed imperfections in the form of voids localised in the upper part of the stir zone (Figure 3c, 3d). The number of voids increases together with the increasing tool traverse speed value. As can be observed, the same area in the T81 sample is characterized by a lack of visible voids (Figure 3d). Higher values of the tool traverse speed result in a decrease of the time in which the tool affects the workpiece by friction, which can cause the presence of imperfections in the joint. It is a noteworthy fact that all imperfections identified by microstructure analysis, are localised on the advancing side of the joints, which corresponds to a lower heat input than that of the retreating side. Although insufficient heat input is the main reason for the low joint quality, the character of the imperfections differs depending on the welding parameters. 4. Conclusion This research presents the results from the performed microstructural analysis. The results present possibil- ities to inspect the technology of friction stir welding with the help of laser-ultrasonic structuroscopy and diagnose the presence of continuity defects. A method for determining Young’s modulus and shear modulus is presented. The study showed that the decrease in the value of the elastic moduli of the recrystallization region and thermo-mechanically affected zone was, on average, 15%. During the analysis of the microstructure, it was determined that high values of tool traverse speed lead to the appearance of defects in the joint. Most of the specific defects are localised on the advancing side of the joint. 417 A. Kravcov, R. Kosturek , L. Śnieżek et al. Acta Polytechnica (a). (b). (c). (d). Figure 3. 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In 2019 International Conference on Military Technologies (ICMT), pp. 1 – 7. 2019. doi:10.1109/MILTECHS.2019.8870047. 419 http://dx.doi.org/10.1016/S1003-6326(14)63445-2 http://dx.doi.org/10.1016/S0254-0584(00)00424-7 http://dx.doi.org/10.1016/0273-1177(88)90020-8 http://dx.doi.org/10.1016/S0921-5093(01)01649-5 http://dx.doi.org/10.1007/s00170-014-5988-z http://dx.doi.org/10.3390/ma12040583 http://dx.doi.org/10.3390/met9101024 http://dx.doi.org/10.1109/MILTECHS.2017.7988761 http://dx.doi.org/10.1109/MILTECHS.2019.8870062 http://dx.doi.org/10.3390/ma13040903 http://dx.doi.org/10.1016/j.ndteint.2017.02.008 http://dx.doi.org/10.1109/MILTECHS.2019.8870047 Acta Polytechnica 60(5):415–419, 2020 1 Introduction 2 Materials and methods 3 Results 4 Conclusion Acknowledgements References