FSW of AA2139-T8 Butt joints for aeronautical applications
Autor: | D. Palmeri, Livan Fratini, Aurelio Tronci, Gennaro Dionoro, G. Campanile, C. Bitondo, Pasquale Buonadonna, Antonino Squillace, A. Prisco |
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Přispěvatelé: | G., Campanile, A., Prisco, Squillace, Antonino, Bitondo, Ciro, G., Dionoro, P., Buonadonna, A., Tronci, L., Fratini, D., Palmeri, Bitondo, C, Squillace, A, Campanile, G, Prisco, A, Dionoro, G, Buonadonna, P, Tronci, A, Fratini, L, Palmeri D |
Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Materials science
Mechanical Engineering microstructure design of experiment Angular velocity Welding mechanical properties Microstructure Indentation hardness friction stirwelding law.invention analysis of the variance law visual_art Ultimate tensile strength FSW butt joints microstructure Aluminium alloy visual_art.visual_art_medium Butt joint aluminium alloy Friction stir welding General Materials Science Composite material Settore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione |
Popis: | The effect of process parameters on mechanical and microstructural properties of AA 2139 T8 joints produced by friction stir welding (FSW) was analysed by means of statistical tools. Three different parameters were taken into account: angular speed ( ω), welding speed ( va), and plunging depth ( p); each of them was varied on three levels. Forces and temperatures achieved during the welding were monitored and analysed for all joints. An accurate microstructural analysis was performed: the occurrence of some remarkable defects, typical of FSW, such as tunnel or lack of penetration, was related to actual process parameters adopted. The extension of each FSW characteristic zone was measured and the main grain dimension within each of these zones was measured. The mechanical properties of the joints were evaluated by means of Vickers microhardness measurements and tensile tests at room temperature. It was observed that the joint welded with lowest angular speed, highest welding speed, and greatest plunging depth attained the best performances. The statistical data treatment allowed providing a numerical model capable of predicting the mechanical performances of joints. |
Databáze: | OpenAIRE |
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