AA7075 İnce Plakanın Yüzey Taşlama Sırasında Akma Dayanımının ve Düzgün Uzamasının Modellenmesi ve Optimizasyonu

Abstract

Alüminyum 7075 (AA7075) ince plakalar, bir deney programı tasarımına göre taşlandı ve akma dayanımı ve homojen uzaması DI-CP/V2 servo-hidrolik test makinesi kullanılarak değerlendirildi. Masa hızı, ilerleme ve taşlama derinliğinin mekanik tepkiler üzerindeki etkisi incelendi ve regresyon modelleri Minitab 2021 kullanılarak oluşturuldu. Bulgular, taşlama derinliğinin hem akma dayanımını (p = 0,000) hem de homojen uzamayı (p = 0,015) etkileyen en kritik faktör olduğunu gösterdi. Taşlama derinliğindeki artış akma dayanımını iyileştirdi ancak homojen uzamayı azalttı. Masa hızı ve ilerlemenin her iki tepki için de istatistiksel olarak önemsiz olduğu bulundu. Etkileşim etkileri büyük ölçüde önemsizdi ve işlem parametreleri ile mekanik özellikler arasında esas olarak doğrusal bir ilişki olduğunu gösterdi. Akma dayanımı için regresyon modeli güçlü bir tahmin yeteneği gösterdi (R² = %77,54, R²ₐdⱼ = %74,68), homojen uzama için model ise orta düzeyde etkinlik gösterdi (R² = %52,17, R²ₐdⱼ = %27,57), bu da uzama davranışının karmaşıklığını vurguladı. Çoklu yanıt optimizasyonu, orta düzeyde bir masa hızı (15 spm), yüksek ilerleme (5 mm) ve yüksek taşlama derinliğinde (1,0 mm) ideal koşulları belirleyerek 0,624'lük bir kompozit arzu edilirlik değeri elde etti. Bu sonuçlar, taşlama derinliğinin yönetilmesinin, Alüminyum 7075 ince plakaların akma dayanımını ve homojen uzamasını optimize etmek için önemli olduğunu göstermektedir.

Keywords

• Modelleme
• Optimizasyon
• Akma Dayanımı
• Düzgün Uzama
• Yüzey Taşlama

Modeling and Optimization of Yield Strength and Uniform Elongation of AA7075 Thin Plate During Surface Grinding

Abstract

Aluminum 7075 (AA7075) thin plates were ground according to a design of experiment schedule, and their yield strength and uniform elongation were assessed using a DI-CP/V2 servo-hydraulic testing machine. The influence of table speed, feed, and grinding depth on the mechanical responses was examined, and regression models were created using Minitab 2021. The findings indicated that grinding depth was the most critical factor affecting both yield strength (p = 0.000) and uniform elongation (p = 0.015). An increase in grinding depth improved yield strength but decreased uniform elongation. Table speed and feed were found to be statistically insignificant for both responses. Interaction effects were largely insignificant, indicating a mainly linear relationship between the process parameters and mechanical properties. The regression model for yield strength demonstrated strong predictive capability (R² = 77.54%, R²ₐdⱼ = 74.68%), while the model for uniform elongation exhibited moderate effectiveness (R² = 52.17%, R²ₐdⱼ= 27.57%), highlighting the complexity of elongation behavior. Multi-response optimization determined ideal conditions at a moderate table speed (15 spm), high feed (5 mm), and high grinding depth (1.0 mm), resulting in a composite desirability of 0.624. These results illustrate that managing grinding depth is essential for optimizing the yield strength and uniform elongation of Aluminum 7075 thin plates.

Keywords

• Modeling
• Optimization
• Yield strength
• Uniform elongation
• Surface grinding

Supporting Institution

This research has not received any external funding.

Ethical Statement

It is declared that during the preparation process of this study, scientific and ethical principles were followed and all the studies benefited from are stated in the references.

Thanks

The authors are grateful to the anonymous reviewers for their corrections and comments.

References

1. ASTM International. (2014). Standard specification for aluminum and aluminum-alloy sheet and plate (ASTM Standard No. B209-14). https://doi.org/10.1520/B0209-14
2. Aye, S. W. H., Lwin, K. T., & Oo, W. W. K. K. (2008). The effect of aging treatment of aluminum alloys for fuselage structure-light aircraft. World Academy of Science, Engineering and Technology International Journal of Materials and Metallurgical Engineering, 2(10), 257–260.
3. Boadu, M. K., Agyei-Agyemang, A., Andoh, P. Y., & Adam, F. W. (2026). Assessment of mechanical behaviour trends of surface-ground AA7075 thin plate across run orders. Advances in Mechanical and Materials Engineering, 43(1), 29-42. https://doi.org/10.7862/rm.2026.3
4. British Standards Institution. (2020). BS EN ISO 6892-1:2019 metallic materials—Tensile testing—Part 1: Method of test at room temperature. BSI Standards Limited.
5. Callister, W. D., Jr., & Rethwisch, D. G. (2020). Materials science and engineering: An introduction (10th ed.). John Wiley & Sons.
6. Chen, Y. (2012). The effect of interrupted ageing on the strength and elongation of precipitation hardened aluminium alloys [Doctoral thesis, Monash University]. https://doi.org/10.4225/03/58A65295BFE49
7. Clark, R., Coughran, B., Traina, I., Hernandez, A., Scheck, T., Etuk, C., Peters, J., Lee, E. W., Ogren, J., & Es-Said, O. S. (2005). On the correlation of mechanical and physical properties of 7075-T6 Al alloy. Engineering Failure Analysis, 12(4), 520-526. https://doi.org/10.1016/j.engfailanal.2004.09.005
8. Guru, P. R., Khan Md, F., Panigrahi, S. K., & Ram G. D. J. (2015). Enhancing strength, ductility and machinability of Al–Si cast alloy by friction stir processing. Journal of Manufacturing Processes, 18, 67–74. https://doi.org/10.1016/j.jmapro.2015.01.005

9. Heinz, A., Haszler, A., Keidel, C., Moldenhauer, S., Benedictus, R., & Miller, W. S. (2000). Recent development in aluminum alloys for aerospace applications. Materials Science and Engineering: A, 280(1), 102-107. https://doi.org/10.1016/S0921-5093(99)00674-7
10. Kattab, D. A. A. N. (2019). Studying the effect of cutting parameters rotation speed and feed rate on the mechanical properties for friction stir welding area between two aluminum alloys. AIP Conference Proceedings, 2201(1), Article 020022. https://doi.org/10.1063/1.5141446
11. Lee, W.-S., Sue, W.-C., Lin, C.-F., & Wu, C.-J. (2000). The strain rate and temperature dependence of the dynamic impact properties of 7075 aluminum alloy. Journal of Materials Processing Technology, 100(1-3), 116-122. http://dx.doi.org/10.1016/S0924-0136(99)00465-3
12. Li, J.-f., Peng, Z.-w., Li, C.-x., Jia, Z.-q., Chen, W.-j., & Zheng, Z.-q. (2008). Mechanical properties, corrosion behaviors and microstructures of 7075 aluminium alloy with various aging treatments. Transactions of Nonferrous Metal Society of China, 18(4), 755-762. https://doi.org/10.1016/S1003-6326(08)60130-2
13. Lin, G. Y., Zhang, H., Zhang, X. J., Han, D. F., Zhang, Y., & Peng, D. S. (2003). Influences of processing routine on mechanical properties and structures of 7075 aluminium alloy thick plate. Transactions of Nonferrous Metals Society of China, 13(4), 809-813.
14. Montgomery, D. C. (2019). Design and analysis of experiments (9th ed.). John Wiley & Sons.
15. Pang, Z., Zhang, Y., Tang, Z., & Ding, Y. (2010). 挤压速度对铝型材分流模寿命影响的模拟分析 [Simulation analysis of the effect of extrusion speed on the life of aluminum profile die splitter]. 锻压技术 [Forging Technology], 35(1), 142-145. https://doi.org/10.3969/j.issn.1000-3940.2010.01.038
16. Rodriguez-Alabanda, O., Guerrero-Vaca, G., Molero, E., & Romero, P. E. (2021). Experimental analysis of deep slot milling in EN AW 2024-T3 alloy by stretched trochoidal toolpath and variable helix angle tool. CIRP Journal of Manufacturing Science and Technology, 35, 346–360. https://doi.org/10.1016/J.CIRPJ.2021.07.002
17. Soori, M., & Arezoo, B. (2022). A review in machining-induced residual stress. Journal of New Technology and Materials, 12(1), 64–83. https://hal.science/hal-03679993
18. Sousa, M. do N., Silva, M. A., Lobato, F. S., Barrozo, M. A. de S., Machado, A. R. (2015). Grau de recalque e zona de fluxo em usinagem de ligas de alumínio: Otimização multiobjetivo e técnicas de metamodelagem. Blucher Mathematical Proceedings, 1(1), 834–843. https://doi.org/10.5151/mathpro-cnmai-0154
19. Tajally, M., & Emadoddin, E. (2011). Mechanical and anisotropic behaviors of 7075 aluminum alloy sheets. Materials & Design, 32(3), 1594–1599. https://doi.org/10.1016/j.matdes.2010.09.001
20. Tang, Z. T., Liu, Z. Q., Pan, Y. Z., Wan, Y., & Ai, X. (2009). The influence of tool flank wear on residual stresses induced by milling aluminum alloy. Journal of Material Processing Technology, 209(9), 4502– 4508. https://doi.org/10.1016/j.jmatprotec.2008.10.034
21. Tawfik, M. M., Nemat-Alla, M. M., & Dewidar, M. (2021). Effect of travel speed on the properties of Al-Mg aluminum alloy fabricated by wire arc additive manufacturing. Journal of Materials Engineering and Performance, 30(10), 7762–7769. https://doi.org/10.1007/S11665-021-05959-Y
22. Vaxevanidis, N. M., Fountas, N. A., Koraidis, C., Koutsomichalis, A., & Psyllaki, P. (2015). Modeling of surface finish in turning of a brass alloy based upon statistical multi-parameter analysis. Tribological Journal BULTRIB, 5(5), 303-313.
23. Williams, J. C., & Starke Junior, E. A. (2003). Progress in structural materials for aerospace systems. Acta Materialia, 51(19), 5775-5799. http://dx.doi.org/10.1016/j.actamat.2003.08.023
24. Wu, C.-T., Bui, T. Q., Wu, Y., Luo, T.-L., Wang, M., Liao, C.-C., Chen, P.-Y., & Lai, Y.-S. (2018). Numerical and experimental validation of a particle Galerkin method for metal grinding simulation. Computational Mechanics, 61(3), 365–383. https://doi.org/10.1007/S00466-017-1456-6
25. Zhao, T., & Jiang, Y. (2008). Fatigue of 7075-T651 aluminum alloy. International Journal of Fatigue, 30(5), 834-849. http://dx.doi.org/10.1016/j.ijfatigue.2007.07.005
26. Zhou, L., Li, S. X., & Ke, W. (2008). A numerical study of grain size effects on the strength and elongation of Al polycrystals using strain gradient plasticity theory. International Journal of Materials Research, 99(2), 191–196. https://doi.org/10.3139/146.101614