Abstract
Aerospace applications and energy saving strategies in general raised the interest and study in the field of lightweight materials, especially on aluminum alloys. Aluminum alloy itself does not have suitable wear resistance. Therefore, improvements of surface properties are required in practical applications, especially surface hardness when aluminum is in contact with other parts. In this work, first Al7075-T6 was coated using hard anodizing technique in different parameters condition and the surfaces hardness of hard anodizing-coated specimens were measured using microhardness machine. Second, fretting fatigue life of AL7075-T6 was investigated for both uncoated and hard anodized specimens at the highest surface hardness obtained. Third, a fuzzy logic model was established to investigate the effect of hard anodizing parameters, voltage, temperature, solution concentration, and time on the anodized AL7075-T6. Four fuzzy membership functions are allocated to be connected with each input of the model. The results achieved via fuzzy logic model were verified and compared with the experimental result. The result demonstrated settlement between the fuzzy model and experimental results with 95.032 % accuracy. The hardness of hard anodizing-coated specimens was increased up to 360 HV, while the hardness of uncoated specimens was 170 HV. The result shows that hard anodizing improved the fretting fatigue life of AL7075-T6 alloy 44 % in low-cycle fatigue.
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References
Sadeler R, Atasoy S, Arici A, Totic Y (2009) The fretting fatigue of commercial hard anodized aluminum alloys. J Mater Eng Perform 18(9):1280–1284
Majzoobi GH, Jaleh M (2007) Duplex surface treatment on AL7075-T6 alloy against fretting fatigue behavior by application of titanium coating plus nitriding. Mater Sci Eng A 452–453:673–681
Ezuber HA, Houd E, Shawesh F (2008) A study on the corrosion behaviour ofaluminium alloys in sea water. Mater Des 29:801–805
Camargo AM, Voorwald HJ (2007) Influence of anodization on fatigue strength of 7050-T7451 aluminium alloy. Fatigue FractEng Mater Struct 30:993–1007
Kelly PJ, Abu-Zeid A, Arnell RD, Tong J (1996) The deposition of aluminum oxide coatings by reactive unbalanced magnetron sputtering. Surface Coat Tech 86–87(1):28–32
Chandrasekaran M, Muralidhar M, Murali Krishna C, Dixit US (2009) Application of soft computing techniques in machining performance prediction and optimization: a literature review. Int J Adv Manufac Tech 46(5–8):445–464
Shamshirband S, Kalantari S, Bakhshandeh Z (2010) Designing a smart multi-agent system based on fuzzy logic to improve the gas consumption pattern. Sci Res Essays 5(6):592–605, 18 March
ASM Jaya, SZM Hashim, and MN AbdRahman (2010) Fuzzy logic-based for predicting roughness performance of TiN coating. 10th International Conference on Intelligent Systems Design and Applications. 978-1-4244-8136-IEEE.
Leung RWK, Lau HCW, Kwong CK (2003) An expert system to support the optimization of ion plating process: an OLAP- based fuzzy-cum-GA approach. Expert Sys App 25:313–330
Hasmi K, Graham ID, Mills B (2006) Data selection for turning carbon steel using fuzzy logic. J Mater Proc Tech 135(4):44–58
ISO Standard (2010) Metallic materials—rotating bar bending fatigue testing. ISO International
Basquin LOH (1910) The exponential law of endurance tests, proc. ASTM 10(2):P625
Norton RL (2010) Machine design, an integrated approach. Worecester Polytechnic Institute, Worcester, MA
Mugadu A, Hills DA, Nowell D (2002) Modifications to a fretting-fatigue testing apparatus based upon an analysis of contact stresses at complete and nearly complete contacts. Wear 252:475–483
Fatigue Failures, Failure Analysis and Prevention, Vol 11 (2002) ASM Handbook, ASM International
Oktem H, Erzurumlu T, Erzinchanli F (2006) Prediction of minimum surface roughness in end milling mold part using neural network and genetic algorithms. Int J Materials Design 27:735–744
Shahzad M, Chaussumier M, Chieragatti R, Mabru C, Rezai-Aria F (2011) Surface characterization and influence of anodizing process on fatigue life of Al 7050 alloy. Int J Mater Des 32:3328–3335
Araujo JA, Nowell D (2002) The effect of rapidly varying contact stress fields on fretting fatigue. Int J Fatigue 24:763–775
Jin O, Mall S (2004) Effect of slip on fretting behavior: experiments and analysis. Wear 256:671–684
Lin SK, Lee YL, Lu MW (2001) Evaluation of the staircase and the accelerated test methods for fatigue limit distributions. Int J Fatigue 23:75–85
Hirata H, Maejima M, Saruwatari K, Shigeno H, Takaya M (1996) Rotational bending fatigue of anodized coating of aluminum of aluminum. J Surf Finish Soc 47(4):376
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Zalnezhad, E., Sarhan, A.A.D. & Hamdi, M. Investigating the effects of hard anodizing parameters on surface hardness of hard anodized aerospace AL7075-T6 alloy using fuzzy logic approach for fretting fatigue application. Int J Adv Manuf Technol 68, 453–464 (2013). https://doi.org/10.1007/s00170-013-4743-1
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DOI: https://doi.org/10.1007/s00170-013-4743-1