Yaşlandırma İşlemi Uygulanmış AA 6063-T6 Serbest Formlu Yüzeylerin Frezelenmesinde Form Hatalarının ve Yüzey Pürüzlülüğünü Etkileyen Proses Parametrelerinin Analizi ve Optimizasyonu

Year 2024, Volume: 5 Issue: 3, 155 - 171

Yavuz Çodur , Barış Özlü , Halil Demir

https://doi.org/10.52795/mateca.1535125

Abstract

Bu çalışmanın amacı, yaşlandırma prosedürüne tabi tutulan AA 6063-T6 numunelerindeki mikroyapı ve sertlik değişimlerini incelemektir. İkinci kısım, farklı mikroyapı ve sertliğe sahip numuneler üzerinde serbest formlu yüzeylerin işlenmesini içerir. Yüzeylerin işlenmesinde dört farklı takım yolu, dört farklı kesme hızı (Vc) ve dört farklı ilerleme miktarı (f) kullanılmıştır. Optimum kesme parametrelerini ve bunların çıktı parametreleri üzerindeki etkilerini belirlemek için istatistiksel analiz yapılmıştır. Deneysel tasarım Taguchi L16 dizinine göre tasarlanmıştır. Testlerden elde edilen form hataları ve yüzey pürüzlülük değerleri, Sinyal/Gürültü (S/N) oranı ve varyans analizi (ANOVA) yöntemleri kullanılarak istatistiksel olarak analiz edilmiştir. Çalışmada, 2WQ çözeltisine daldırılan numunenin minimum sertlik değerinin 71.7 Hv1, 18 saat yaşlandırılan numunenin ise maksimum sertlik değerinin 117.7 Hv1 olduğunu bulmuştur. Yapılan inceleme sonucunda A4B1C4'ün form hatası ve yüzey pürüzlülüğü açısından en uygun kesme parametresini verdiği belirlenmiştir. Bu, TP4 takım yolunun, diş başına 0.04 mm'lik bir ilerleme hızının ve 105 m/dak'lık bir kesme hızının kullanılması anlamına gelmektedir. Toplanan veriler ışığında 18AQ numunesinin ANOVA analizi, form hatasını ve yüzey pürüzlülüğünü en aza indirmede en yüksek etkinliğe sahip kesme parametrelerinin sırasıyla %51.18'lik bir ilerleme hızı ve %59.07'lik bir ilerleme hızı olduğunu ortaya koymuştur. Bu değerler kesme parametreleri için optimum değerleri temsil etmektedir.

Keywords

AA 6063-T6, Yaşlandırma, Form hatası, Yüzey pürüzlülüğü, Optimizasyon

Supporting Institution

Karabük University

Project Number

KBÜ-BAP FYL-2020-2139

Thanks

This study was supported by Karabük University Scientific Research Projects Unit. Project Number: KBÜ-BAP FYL-2020-2139.

Analysis and Optimization of Process Parameters Affecting Form Errors and Surface Roughness in Milling of Aging-Treated AA 6063-T6 Free Form Surfaces

Abstract

This study aimed to examine the microstructure and hardness changes in AA 6063 T6 specimens that underwent an ageing procedure. The second portion involves the machining of free forms surfaces on specimens with varying microstructures and hardness. Four different tool paths, four different cutting speed (Vc), and four different feed rate (f) were employed in the machining of the surfaces. Statistical analysis were conducted to ascertain the optimal cutting parameters and their impact on the output parameters. The experimental design was designed based on the Taguchi L16 index. The form errors and surface roughness values acquired from the tests were analysed statistically using the Signal/Noise (S/N) ratio and analysis of variance (ANOVA) methods. The study found that the sample immersed in 2WQ solution had a minimum hardness value of 71.7 Hv1, whereas the sample aged for 18 hours had a maximum hardness value of 117.7 Hv1. Based on the investigation, it was determined that A4B1C4 yielded the most favourable cutting parameter in terms of form error and surface roughness. This refers to the utilisation of the TP4 tool path, a f of 0.04 mm per tooth, and a Vc of 105 m/min. Based on the data collected, the ANOVA analysis of the 18AQ sample revealed that the cutting parameters with the highest efficacy in minimising form error and surface roughness were a f of 51.18% and 59.07%, respectively. These values represent the optimum values for cutting parameters.

Keywords

AA 6063-T6, Aging, Form error, Surface Roughness, Optimization

Project Number

KBÜ-BAP FYL-2020-2139

References

• M. Kurt, S. Hartomacioglu, B. Mutlu, U. Koklu, Minimization of the surface roughness and form error on the milling of free-form surfaces using a grey relational analysis, Materials and Technology, 46(3):205-213, 2012.
• E.L. de Oliveira, A.F. de Souza, A.E. Diniz, Evaluating the influences of the cutting parameters on the surface roughness and form errors in 4-axis milling of thin-walled free-form parts of AISI H13 steel, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40:1-10, 2018.
• K.D. Bouzakis, P. Aichouh, K. Efstathiou, Determination of the chip geometry, cutting force and roughness in free form surfaces finishing milling, with ball end tools, International Journal of machine tools and manufacture, 43(5):499-514, (2003).
• M.T. Özkan, H.B. Ulas, M. Bilgin, Experimental design and artificial neural network model for turning the 50CRV4 (SAE 6150) alloy using coated carbide/cermet cutting tools, Materiali in Tehnologije, 48(2):227-236, 2014.
• S. Wojciechowski, R.W. Maruda, S. Barrans, P. Nieslony, G.M. Krolczyk, Optimisation of machining parameters during ball end milling of hardened steel with various surface inclinations, Measurement, 111:18-28, 2017.
• H. Yaka, H. Demir, A. Gök, Optimization of the cutting parameters affecting the surface roughness on free form surfaces, Sigma Journal of Engineering and Natural Sciences, 35(2):323-331, 2017.
• B. Ozturk, I. Lazoglu, H. Erdim, Machining of free-form surfaces. Part II: Calibration and forces, International Journal of Machine Tools and Manufacture, 46(7-8):736-746, 2006.
• E.J. Wei, M.C. Lin, Study on general analytical method for CNC machining the free-form surfaces, Journal of Materials processing technology, 168(3):408-413, 2005.
• H. Yaka, H. Demir, A. Gök, H. Akkuş, Determination of optimum cutting parameters on free form surfaces in terms of form errors and machining times, Sigma Journal of Engineering and Natural Sciences, 36(4):1153-1164, 2018.
• M. Wan, W. H. Zhang, Efficient algorithms for calculations of static form errors in peripheral milling, Journal of Materials Processing Technology, 171(1):156-165, 2006.
• M. Fujda, R. Mısıcko, L. Rusnakova, M. Sojko, Effect of solution annealing temperature on structure and mechanical properties of EN AW 2024 aluminium alloy, Journal of Metals, Materials and Minerals, 17(1): 35-40, 2007.
• N. D. Alexopoulus, Z. Velonaki, C. I. Stergiou, S. K. Kourkoulis, Effect of ageing on precipitation kinetics, tensile and work hardening behavior of Al-Cu-Mg (2024) alloy, Materials Science and Engineering: A, 700:457-467, 2017.
• F. G. Koç, Optimization of heat treatment parameters in AA7075 aluminum alloy under industrial conditions, PhD Thesis, Kocaeli University Institute of Science, Kocaeli, 2019.
• A. Meyveci, Investigestion of wear behaviours of aged aluminium 2XXX and 6XXX alloys, PhD Thesis, Karabük University, Institute of Science, Karabük, 2007.
• A. Coşkun, Investigation of cold, warm and hot deformation ability of aged AA 2024 aluminum alloy, Master's thesis, Karabük University, Institute of Science, Karabük, 2020.
• H. Demir, S. Gündüz, The effects of aging on machinability of 6061 aluminium alloy, Materials & Design, 30(5):1480-1483, 2009.
• Y.L. Zhao, Z.Q. Yang, Z. Zhang, G.Y. Su, X.L. Ma, Douple-peak age strengthening of cold-worked 2024 aluminum alloy, Acta Materialia, 61:1624-1638, 2013.
• M.F. Tafti, M. Sedighi, R. Hashemi, Effects of natural ageing treatment on mechanical, microstructural and forming properties of Al 2024 aluminium alloy sheets, Iranian Journal of Materials Science & Engineering, 15(4): 1-10, 2018.
• B. Özlü, M. Akgün, H. Demir, Analysis and optimization of effects on surface roughness of cutting parameters on turning of AA6061 alloy, Gazi Journal of Engineering Sciences, 5:151-158, 2019.
• B. Özlü, Experimental and statistical investigation of the effects of cutting parameters on kerf quality and surface roughness in laser cutting of Al 5083 alloy, Surface Review and Letters, 28(10): 2150093, 2021.
• B. Özlü, Evaluation Of energy consumption, cutting force, surface roughness and vibration In machining toolox 44 steel using Taguchi-based gray relational analysis, Surface Review and Letters, 29(08): 2250103, 2022.
• L. Uğur, A numerical and statistical approach of drilling performance on machining of Ti-6Al-4V alloy, Surface Review and Letters, 29(12): 2250168, 2022.
• A. Yıldız, L. Uğur, İ. E. Parlak, Optimization of the cutting parameters affecting the turning of AISI 52100 bearing steel using the Box-Behnken experimental design method, Applied Sciences, 13(1):1-22, 2023.
• M. Akgün, H. Demir, İ. Çiftçi, Optimization of surface roughness in turning Mg2Si particle reinforced magnesium alloys, Journal of Polytechnic, 21(3): 645-650, 2018.
• E. Nas, Experimental and statistical investigation of electro-erosion machining performance of cryogenic treated hardened AISI H13 hot work tool steel. Tribology International, 193:109453, (2024).
• E. Nas, N. Altan Özbek, Optimization of the machining parameters in turning of hardened hot work tool steel using cryogenically treated tools. Surface Review and Letters, 27(05):1950177, 2020.