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Assessment of erosion rate on AA7075 based surface hybrid composites fabricated through friction stir processing by taguchi optimization approach

Publication Type : Journal Article

Source : Journal of Adhesion Science and Technology, 2022

Url : https://www.tandfonline.com/doi/abs/10.1080/01694243.2021.1929018?journalCode=tast20

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2022

Abstract : In recent years, Aluminium Alloy 7075 plays a vital role in the manufacturing of aircraft wing and fuselage skin due to its light weight and specific strength characteristic behavior. The components like aircraft wing and fuselage skin faces serious erosion issues due to sand particles while high speed running conditions. This issue is focused into the present research and fabrication of AA7075 Surface Hybrid Composites (SHCs) with reinforcements like Aluminium Oxide (Al2O3) and silicon carbide (SiC) through the novel Friction stir Processing (FSP) technique is suggested. Microhardness tests are performed for different combinations of dual reinforcement and the erosion resistance is evaluated for the specimen with superior microhardness value. This research aims particularly on evaluating the erosion performance of the aforementioned hard specimen. Input erosion parameters like jet distance, jet pressure, jet angle, erodent impinging time and mesh number of erodent are considered and they are optimized through Taguchi technique. The obtained result undergoes Analysis of Variance (ANOVA) test and each parameter based percentage contribution is identified. The surface morphology analysis shows that grain refinement and homogenous distribution of reinforcement particles are at less surface degradation when compared to base AA7075.

Cite this Research Publication : Kandasamy, S., Rathinasamy, P., Nagarajan, N., Karumalai, D., Mohanraj, T.. and Palaniappan, M., 2022. Assessment of erosion rate on AA7075 based surface hybrid composites fabricated through friction stir processing by taguchi optimization approach. Journal of Adhesion Science and Technology, 36(6), pp.584-605.

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