How to Cite
Abstract
The aim of the article was to investigate whether 3D roughness parameters can be used to assess the strengthening treatment and to predict the load capacity of lap adhesive joints subjected to shot peening. The analyzes were carried out for single-lap adhesive joints made of EN AW-2024-T3 aluminum alloy, whose overlaps were shot peened for 60 to 180 s using balls with a diameter of 0.5 to 1.5 mm with a compressed air pressure of 0.3 to 0.5 MPa. As a result of the regression and correlation analysis, it was found that within the adopted range of input parameters variability, the load capacity of adhesive joints subjected to shot peening is most closely related to the roughness parameter Sdr. It has been shown that increasing the value of the Sdr parameter contributes to increasing the load capacity of adhesive joints. A mathematical model describing the impact of treatment time, balls diameter and compressed air pressure on the value of the Sdr parameter was also built. The model was built in accordance with the the Hartley's PS/DS-P:Ha3 plan methodology. The obtained results allow to conclude that the Sdr parameter can be used to predict the load capacity of adhesive joints after shot peening and to assess the strengthening treatment (within the assumed range of input parameters variability). Additionaly, the simplicity and low cost of roughness measurements justify the use of this method in industrial purposes.
References
Grzesik W. (2016). Influence of surface textures produced by finishing operations on their functional properties. Journal of Machine Engineering 16(1), 15-23.
International Organization for Standardization. (2021). Geometrical product specifications (GPS) — Surface texture: Areal — Part 2: Terms, definitions and surface texture parameters (ISO 25178-2:2021).
Korzyńska K. (2019). Badania wpływu procesu pneu- mokulowania na wytrzymałość zakładkowych połączeń klejowych. [Doctoral dissertation, Lublin University of Technology].
Korzyńska K., Zielecki W., Korzyński M. (2018). Relationship between residual stress and strength of single lap joints made of Ti6Al4V alloy, adhesively bonded and treated using pneumatic ball peenin. Journal of Adhesion Science and Technology 32(17), 1849–1860. https://doi.org/ 10.1080/01694243.2018.1450108.
Korzyński M. (2013). Metodyka eksperymentu. Plano- wanie, realizacjia i statystyczne opracowanie wyników eksperymentów technologicznych. Wydawnictwo Nauko- wo-Techniczne WNT.
Polish Committee for Standardization. (2009). Adhesives - Determination of tensile lap-shear strength of bonded assemblies (PN-EN 1465:2009).
da Silva L. F. M., Marques E. A. S. , Campilho R. D. S. G. (2018). Design rules and methods to improve joint strength. In da Silva L. F. M., Öchsner A., Adams R. (Eds.) Handbook of Adhesion Technology (pp. 773–810). Springer. https://doi.org/10.1007/978-3-319-55411-2_27.
Zaleski K. (2018). Technologia nagniatania dynamiczne- go. Wydawnictwo Politechniki Lubelskiej. https://bc. pollub.pl/dlibra/publication/13542/edition/13216/content?ref=desc.
Zielecki W., Perłowski R., Trzepieciński T. (2007). Analiza stanu naprężeń w spoinie połączenia klejowego umocnionego metodą pneumokulkowania Technologia i Automatyzacja Montażu (Assembly Techniques and Technologies), 1, 31-33.
Zielecki W., Trzepieciński T., Bąk Ł., Ozga E. (2022). Load capacity of single-lap adhesive joints made of 2024-T3 aluminium alloy sheets after shot peening. The International Journal of Advanced Manufacturing Technology 119, 3013-3028. https://doi.org/10.1007/ s00170-021-08587-x.
Zielecki, W., Godzimirski, J., Ozga, E. (2022). The influence of shot peening on the stress state in the adhesive layer and the load capacity of adhesive joints. Technologia i Automatyzacja Montażu (Assembly Techniques and Technologies), 116(2), 32-40. https://doi.org/10.7862/ tiam.2022.2.5.
Zielecki, W., Ozga, E. (2022). Relationship between surface roughness and load capacity of adhesive joints made of aluminum alloy 2024-T3 after shot peening. Technologia i Automatyzacja Montażu (Assembly Techni- ques and Technologies), 118(4), 34-45. https://doi.org/ 10.7862/tiam.2022.4.4.