INVESTIGATION THE EFFECTS OF SUSTAINABLE COOLING/LUBRICATION CONDITIONS ON THE MACHINABILITY OF Al-3Gr BASED HYBRID COMPOSITES

Üsame Ali Usca; Ünal Değirmenci; Serhat Şap

doi:10.17780/ksujes.1400508

EN TR

INVESTIGATION THE EFFECTS OF SUSTAINABLE COOLING/LUBRICATION CONDITIONS ON THE MACHINABILITY OF Al-3Gr BASED HYBRID COMPOSITES

Abstract

The main purpose of this research is to meticulously evaluate various derivatives resulting from recently developed Al-3Gr-based hybrid composites and to complete the deficiencies for industrial applications, especially focusing on processability. Assessments were conducted using a computer numerical control (CNC) milling apparatus, involving a spectrum of cutting parameters: varying cutting speeds (150-225-300 m/min), feed rates (0.15-0.225-0.3 mm/rev), and diverse cooling/lubrication conditions (dry-minimum quantity lubrication-liquid nitrogen). The experimental framework was meticulously structured based on the Taguchi L18 orthogonal array, which was further validated through a comprehensive analysis of variance (ANOVA) at a 95% confidence level. Throughout the experimentation, crucial machinability parameters such as cutting temperature, flank wear, and surface roughness were meticulously scrutinized. The optimized test outcomes, demonstrating an impressive precision level of 97%, revealed a reduction in machinability by approximately 18%, accompanied by a noteworthy decrease in cutting temperature by 16%, flank wear values by 16%, and surface roughness by 25%. Overall, the findings elucidate that the cooling/lubrication conditions significantly dictated the machinability parameters during the experimental trials. The empirical evidence extracted from these experiments emphatically suggests the potential utilization of the novel Al-3Gr composites, signifying a promising avenue for their widespread integration within industrial domains.

Keywords

SÜRDÜRÜLEBİLİR SOĞUTMA/YAĞLAMA KOŞULLARININ Al-3Gr ESASLI HİBRİT KOMPOZİTLERİN İŞLENEBİLİRLİĞİ ÜZERİNDEKİ ETKİLERİNİN ARAŞTIRILMASI

Öz

Bu araştırmanın temel amacı, son dönemde geliştirilen Al-3Gr bazlı hibrit kompozitlerden elde edilen çeşitli türevleri titizlikle değerlendirmek ve özellikle işlenebilirlik konusuna odaklanarak endüstriyel uygulamalara yönelik eksiklikleri tamamlamaktır. Değerlendirmeler, çeşitli kesme parametrelerini içeren bir bilgisayar sayısal kontrol (CNC) frezeleme aparatı kullanılarak gerçekleştirildi: değişen kesme hızları (150-225-300 m/dak), ilerleme hızları (0,15-0,225-0,300 mm/dev) ve çeşitli kesme parametreleri soğutma/yağlama koşulları (kuru-minimum miktarda yağlama-sıvı nitrojen). Deneysel çerçeve, % 95 güven seviyesinde kapsamlı bir varyans analizi (ANOVA) yoluyla daha da doğrulanan Taguchi L18 ortogonal dizisine dayalı olarak titizlikle yapılandırılmıştır. Deney boyunca kesme sıcaklığı, yan aşınma ve yüzey pürüzlülüğü gibi önemli işlenebilirlik parametreleri titizlikle incelendi. % 97'lik etkileyici bir hassasiyet düzeyi sergileyen optimize edilmiş test sonuçları, işlenebilirlikte yaklaşık % 18'lik bir azalmanın yanı sıra kesme sıcaklığında % 16, yan aşınma değerlerinde %16 ve yüzey pürüzlülüğünde % 25 oranında kayda değer bir azalma olduğunu ortaya çıkardı. Genel olarak bulgular, soğutma/yağlama koşullarının deneysel denemeler sırasında işlenebilirlik parametrelerini önemli ölçüde belirlediğini ortaya koyuyor. Bu deneylerden elde edilen ampirik kanıtlar, yeni Al-3Gr kompozitlerinin potansiyel kullanımını açıkça ortaya koymakta ve bunların endüstriyel alanlarda yaygın entegrasyonu için umut verici bir yol olduğunu göstermektedir.

Anahtar Kelimeler

References

Ahmad-Yazid, A., Taha, Z., Almanar, I. P., & Essays. (2010). A review of cryogenic cooling in high speed machining (HSM) of mold and die steels. Scientific Research, 5(5), 412-427.
Amiril, S. A. S., Rahim, E. A., & Syahrullail, S. (2017). A review on ionic liquids as sustainable lubricants in manufacturing and engineering: Recent research, performance, and applications. Journal of Cleaner Production, 168, 1571-1589. doi:https://doi.org/10.1016/j.jclepro.2017.03.197
Ande, R., Gulati, P., Kumar Shukla, D., & Dhingra, H. (2019). Microstructural and Wear Characteristics of Friction Stir Processed Al-7075/SiC Reinforced Aluminium Composite. Materials Today: Proceedings, 18, 4092-4101. doi:https://doi.org/10.1016/j.matpr.2019.07.353
Aslan, A., Salur, E., & Kuntoğlu, M. (2022). Evaluation of the Role of Dry and MQL Regimes on Machining and Sustainability Index of Strenx 900 Steel. Lubricants, 10(11). doi:10.3390/lubricants10110301
Babu, M. N., Anandan, V., Yıldırım, Ç. V., Babu, M. D., & Sarıkaya, M. (2022). Investigation of the characteristic properties of graphene-based nanofluid and its effect on the turning performance of Hastelloy C276 alloy. Wear, 510-511, 204495. doi:https://doi.org/10.1016/j.wear.2022.204495
Benzait, Z., & Trabzon, L. (2018). A review of recent research on materials used in polymer–matrix composites for body armor application. Journal of Composite Materials, 52(23), 3241-3263. doi:10.1177/0021998318764002
Bhushan, R. K. (2013). Multiresponse Optimization of Al Alloy-SiC Composite Machining Parameters for Minimum Tool Wear and Maximum Metal Removal Rate. Journal of Manufacturing Science and Engineering, 135(2). doi:10.1115/1.4023454
Binali, R., Demirpolat, H., Kuntoğlu, M., & Sağlam, H. (2023). Machinability Investigations Based on Tool Wear, Surface Roughness, Cutting Temperature, Chip Morphology and Material Removal Rate during Dry and MQL-Assisted Milling of Nimax Mold Steel. Lubricants, 11(3), 101. Retrieved from https://www.mdpi.com/2075-4442/11/3/101

Cai, C., Liang, X., An, Q., Tao, Z., Ming, W., & Chen, M. (2021). Cooling/Lubrication Performance of Dry and Supercritical CO2-Based Minimum Quantity Lubrication in Peripheral Milling Ti-6Al-4V. International Journal of Precision Engineering and Manufacturing Technology, 8(2), 405-421. doi:10.1007/s40684-020-00194-7
Courbon, C., Pusavec, F., Dumont, F., Rech, J., & Kopac, J. (2013). Tribological behaviour of Ti6Al4V and Inconel718 under dry and cryogenic conditions—Application to the context of machining with carbide tools. Tribology International, 66, 72-82. doi:https://doi.org/10.1016/j.triboint.2013.04.010
Das, B., Roy, S., Rai, R. N., & Saha, S. C. (2016). Study on machinability of in situ Al–4.5%Cu–TiC metal matrix composite-surface finish, cutting force prediction using ANN. CIRP Journal of Manufacturing Science and Technology, 12, 67-78. doi:https://doi.org/10.1016/j.cirpj.2015.10.002
Değirmenci, Ü., Usca, Ü. A., & Şap, S. (2023). Machining characterization and optimization under different cooling/lubrication conditions of Al-4Gr hybrid composites fabricated by vacuum sintering. Vacuum, 208, 111741. doi:https://doi.org/10.1016/j.vacuum.2022.111741
Dhar, N. R., Ahmed, M. T., & Islam, S. (2007). An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel. International Journal of Machine Tools and Manufacture, 47(5), 748-753. doi:https://doi.org/10.1016/j.ijmachtools.2006.09.017
Du, J., Ming, W., Ma, J., He, W., Cao, Y., Li, X., & Liu, K. (2018). New observations of the fiber orientations effect on machinability in grinding of C/SiC ceramic matrix composite. Ceramics International, 44(12), 13916-13928. doi:https://doi.org/10.1016/j.ceramint.2018.04.240
Fratila, D., & Caizar, C. (2011). Application of Taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg3. Journal of Cleaner Production, 19(6), 640-645. doi:https://doi.org/10.1016/j.jclepro.2010.12.007
Gajrani, K. K., Suvin, P. S., Kailas, S. V., & Sankar, M. R. (2019). Hard machining performance of indigenously developed green cutting fluid using flood cooling and minimum quantity cutting fluid. Journal of Cleaner Production, 206, 108-123. doi:https://doi.org/10.1016/j.jclepro.2018.09.178
Gopalakannan, S., & Senthilvelan, T. (2013). EDM of cast Al/SiC metal matrix nanocomposites fabricated by ultrasonic cavitation method. nt J Adv Manuf Technol, 67(485-49), 3.
Hakami, F., Pramanik, A., & Basak, A. K. (2016). Tool wear and surface quality of metal matrix composites due to machining: A review. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(5), 739-752. doi:10.1177/0954405416667402
Hong, S. Y., Markus, I., & Jeong, W.-C. (2001). New cooling approach and tool life improvement in cryogenic machining of titanium alloy Ti-6Al-4V. International Journal of Machine Tools and Manufacture, 41(15), 2245-2260. doi:https://doi.org/10.1016/S0890-6955(01)00041-4
Jadhav, P. S., & Mohanty, C. P. (2022). Performance assessment of energy efficient and eco-friendly turning of Nimonic C-263: a comparative study on MQL and cryogenic machining. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 236(8), 1125-1140.
Jawahir, I. S., Attia, H., Biermann, D., Duflou, J., Klocke, F., Meyer, D., . . . Umbrello, D. (2016). Cryogenic manufacturing processes. CIRP Annals, 65(2), 713-736. doi:https://doi.org/10.1016/j.cirp.2016.06.007
Kesarwani, S., Niranjan, M. S., & Singh, V. (2020). To study the effect of different reinforcements on various parameters in aluminium matrix composite during CNC turning. Composites Communications, 22, 100504. doi:https://doi.org/10.1016/j.coco.2020.100504
Kim, H.-J., Seo, K.-J., Kang, K. H., & Kim, D.-E. (2016). Nano-lubrication: A review. International Journal of Precision Engineering and Manufacturing, 17(6), 829-841. doi:10.1007/s12541-016-0102-0
Korkmaz, M. E., & Günay, M. (2018). Experimental and Statistical Analysis On Machinability of Nimonic80A Superalloy with PVD Coated Carbide. Sigma Journal of Engineering and Natural Sciences, 36(4), 1141-1152. Retrieved from https://dergipark.org.tr/en/pub/sigma/issue/65501/1013478
Kouam, J., Songmene, V., Balazinski, M., & Hendrick, P. (2015). Effects of minimum quantity lubricating (MQL) conditions on machining of 7075-T6 aluminum alloy. The International Journal of Advanced Manufacturing Technology, 79(5), 1325-1334. doi:10.1007/s00170-015-6940-6
Küçük, Ö., Elfarah, T. T., Islak, S., & Özorak, C. (2017). Optimization by Using Taguchi Method of the Production of Magnesium-Matrix Carbide Reinforced Composites by Powder Metallurgy Method. Metals, 7(9). doi:10.3390/met7090352
Laghari, R. A., He, N., Jamil, M., Hussain, M. I., Gupta, M. K., & Krolczyk, G. M. (2023). A State-of-the-Art Review on Recently Developed Sustainable and Green Cooling/Lubrication Technologies in Machining Metal Matrix Composites (MMCs). International Journal of Precision Engineering and Manufacturing-Green Technology. doi:10.1007/s40684-023-00521-8
Li, J., & Laghari, R. A. (2019). A review on machining and optimization of particle-reinforced metal matrix composites. The International Journal of Advanced Manufacturing Technology, 100(9), 2929-2943. doi:10.1007/s00170-018-2837-5
Liao, Y. S., & Lin, H. M. (2007). Mechanism of minimum quantity lubrication in high-speed milling of hardened steel. International Journal of Machine Tools and Manufacture, 47(11), 1660-1666. doi:https://doi.org/10.1016/j.ijmachtools.2007.01.007
López de Lacalle, L. N., Angulo, C., Lamikiz, A., & Sánchez, J. A. (2006). Experimental and numerical investigation of the effect of spray cutting fluids in high speed milling. Journal of Materials Processing Technology, 172(1), 11-15. doi:https://doi.org/10.1016/j.jmatprotec.2005.08.014
Maiarù, M., D'Mello, R. J., & Waas, A. M. (2018). Characterization of intralaminar strengths of virtually cured polymer matrix composites. Composites Part B: Engineering, 149, 285-295. doi:https://doi.org/10.1016/j.compositesb.2018.02.018
Mia, M., Gupta, M. K., Lozano, J. A., Carou, D., Pimenov, D. Y., Królczyk, G., . . . Dhar, N. R. (2019). Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V. Journal of Cleaner Production, 210, 121-133. doi:https://doi.org/10.1016/j.jclepro.2018.10.334
Muthukrishnan, N., & Davim, J. P. (2011). An investigation of the effect of work piece reinforcing percentage on the machinability of Al-SiC metal matrix composites. Journal of Mechanical Engineering Research, 3(1), 15-24.
Muthukrishnan, N., Murugan, M., & Prahlada Rao, K. (2008). Machinability issues in turning of Al-SiC (10p) metal matrix composites. The International Journal of Advanced Manufacturing Technology, 39(3), 211-218. doi:10.1007/s00170-007-1220-8
Oguntuyi, S. D., Johnson, O. T., Shongwe, M. B., Jeje, S. O., & Rominiyi, A. L. (2021). The effects of sintering additives on the ceramic matrix composite of ZrO2: microstructure, densification, and mechanical properties – a review. Advances in Applied Ceramics, 120(5-8), 319-335. doi:10.1080/17436753.2021.1953845
Ozben, T., Kilickap, E., & Çakır, O. (2008). Investigation of mechanical and machinability properties of SiC particle reinforced Al-MMC. Journal of Materials Processing Technology, 198(1), 220-225. doi:https://doi.org/10.1016/j.jmatprotec.2007.06.082
Prasad, D. S., Shoba, C., & Ramanaiah, N. (2014). Investigations on mechanical properties of aluminum hybrid composites. Journal of Materials Research and Technology, 3(1), 79-85. doi:https://doi.org/10.1016/j.jmrt.2013.11.002
Ramanathan, A., Krishnan, P. K., & Muraliraja, R. (2019). A review on the production of metal matrix composites through stir casting – Furnace design, properties, challenges, and research opportunities. Journal of Manufacturing Processes, 42, 213-245. doi:https://doi.org/10.1016/j.jmapro.2019.04.017
Salur, E. (2022). Understandings the tribological mechanism of Inconel 718 alloy machined under different cooling/lubrication conditions. Tribology International, 174, 107677. doi:https://doi.org/10.1016/j.triboint.2022.107677
Salvi, H., Vesuwala, H., Raval, P., Badheka, V., & Khanna, N. (2023). Sustainability analysis of additive + subtractive manufacturing processes for Inconel 625. Sustainable Materials and Technologies, 35, e00580. doi:https://doi.org/10.1016/j.susmat.2023.e00580
Samy, G. S., Thirumalai Kumaran, S., & Uthayakumar, M. (2017). An analysis of end milling performance on B4C particle reinforced aluminum composite. Journal of the Australian Ceramic Society, 53(2), 373-383. doi:10.1007/s41779-017-0046-6
Shah, P., Khanna, N., & Chetan. (2020). Comprehensive machining analysis to establish cryogenic LN2 and LCO2 as sustainable cooling and lubrication techniques. Tribology International, 148, 106314. doi:https://doi.org/10.1016/j.triboint.2020.106314
Sharma, R., Singh, A. K., Arora, A., Pati, S., & De, P. S. (2019). Effect of friction stir processing on corrosion of Al-TiB2 based composite in 3.5 wt.% sodium chloride solution. Transactions of Nonferrous Metals Society of China, 29(7), 1383-1392. doi:https://doi.org/10.1016/S1003-6326(19)65045-4
Sozhamannan, C. G., Naveenkumar, K., Mathiarasu, A., Velmurugan, K., & Venkatachalapathy, V. S. K. (2018). Machining characteristics of Al/Ticp/Gr hybrid composites. Materials Today: Proceedings, 5(2, Part 1), 5940-5946. doi:https://doi.org/10.1016/j.matpr.2017.12.195
Srivastava, A. K., Dixit, A. R., & Tiwari, S. (2018). A review on the intensification of metal matrix composites and its nonconventional machining. Science and Engineering of Composite Materials, 25(2), 213-228. doi:doi:10.1515/secm-2015-0287
Suresh, P., Marimuthu, K., Ranganathan, S., & Rajmohan, T. (2014). Optimization of machining parameters in turning of Al-SiC-Gr hybrid metal matrix composites using grey-fuzzy algorithm. Transactions of Nonferrous Metals Society of China, 24(9), 2805-2814. doi:https://doi.org/10.1016/S1003-6326(14)63412-9
Şap, E., Usca, U. A., Gupta, M. K., & Kuntoğlu, M. (2021). Tool wear and machinability investigations in dry turning of Cu/Mo-SiCp hybrid composites. The International Journal of Advanced Manufacturing Technology, 114(1), 379-396.
Şap, E., Usca, Ü. A., Gupta, M. K., Kuntoğlu, M., Sarıkaya, M., Pimenov, D. Y., & Mia, M. (2021). Parametric optimization for improving the machining process of cu/mo‐sicp composites produced by powder metallurgy. Materials, 14(8). doi:10.3390/ma14081921
Şap, S. (2023a). Machining and Energy Aspect Assessment with Sustainable Cutting Fluid Strategies of Al–12Si Based Hybrid Composites. International Journal of Precision Engineering and Manufacturing-Green Technology, 11, 33-53. doi:10.1007/s40684-023-00544-1
Şap, S. (2023b). Understanding the Machinability and Energy Consumption of Al-Based Hybrid Composites under Sustainable Conditions. Lubricants, 11(3), 111. doi:https://doi.org/10.3390/lubricants11030111
Şap, S., Değirmenci, Ü., & Usca, Ü. A. (2023). Impact of boron nitride and silicon carbide on tribological properties of Al-3Gr-based hybrid composites. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45(10), 510. doi:10.1007/s40430-023-04448-8
Şap, S., Usca, Ü. A., Uzun, M., Kuntoğlu, M., Salur, E., & Pimenov, D. Y. (2022). Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites. Lubricants, 10(4), 63. doi:https://doi.org/10.3390/lubricants10040063
Taskin, M., Caligulu, U., & Gur, A. K. (2008). Modeling adhesive wear resistance of Al-Si-Mg-/SiCp PM compacts fabricated by hot pressing process, by means of ANN. The International Journal of Advanced Manufacturing Technology, 37(7), 715-721.
Taşkın, M., & Çalıgülü, U. (2006). Modelling of Microhardness Values by Means of Artificial Neural Networks of Al/Sicp Metal Matrix Composite Material Couples Processed with Diffusion Method. Mathematical and Computational Applications, 11(3), 163-172. Retrieved from https://www.mdpi.com/2297-8747/11/3/163
Thepsonthi, T., Hamdi, M., & Mitsui, K. (2009). Investigation into minimal-cutting-fluid application in high-speed milling of hardened steel using carbide mills. International Journal of Machine Tools and Manufacture, 49(2), 156-162. doi:https://doi.org/10.1016/j.ijmachtools.2008.09.007
Trinath, K., Aepuru, R., Biswas, A., Ramalinga Viswanathan, M., & Manu, R. (2021). Study of self lubrication property of Al/SiC/Graphite hybrid composite during Machining by using artificial neural networks (ANN). Materials Today: Proceedings, 44, 3881-3887. doi:https://doi.org/10.1016/j.matpr.2020.12.927
Tuloup, C., Harizi, W., Aboura, Z., Meyer, Y., Khellil, K., & Lachat, R. (2019). On the use of in-situ piezoelectric sensors for the manufacturing and structural health monitoring of polymer-matrix composites: A literature review. Composite Structures, 215, 127-149. doi:https://doi.org/10.1016/j.compstruct.2019.02.046
Usca, Ü. A., Şap, S., & Uzun, M. (2022). Evaluation of Machinability of Cu Matrix Composite Materials by Computer Numerical Control Milling under Cryogenic LN2 and Minimum Quantity Lubrication. Journal of Materials Engineering and Performance. doi:10.1007/s11665-022-07262-w
Usca, Ü. A., Uzun, M., Şap, S., Kuntoğlu, M., Giasin, K., Pimenov, D. Y., & Wojciechowski, S. (2022). Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based ceramic matrix composites. Journal of Materials Research and Technology, 16, 1243-1259. doi:https://doi.org/10.1016/j.jmrt.2021.12.063
Uzun, M., Usca, Ü. A., Kuntoğlu, M., & Gupta, M. K. (2022). Influence of tool path strategies on machining time, tool wear, and surface roughness during milling of AISI X210Cr12 steel. The International Journal of Advanced Manufacturing Technology, 119(3), 2709-2720. doi:10.1007/s00170-021-08365-9
Yıldırım, Ç. V., Kıvak, T., & Erzincanlı, F. (2019). Influence of Different Cooling Methods on Tool Life, Wear Mechanisms and Surface Roughness in the Milling of Nickel-Based Waspaloy with WC Tools. Arabian Journal for Science and Engineering, 44(9), 7979-7995. doi:10.1007/s13369-019-03963-y
Yıldırım, Ç. V., Sarıkaya, M., Kıvak, T., & Şirin, Ş. (2019). The effect of addition of hBN nanoparticles to nanofluid-MQL on tool wear patterns, tool life, roughness and temperature in turning of Ni-based Inconel 625. Tribology International, 134, 443-456. doi:https://doi.org/10.1016/j.triboint.2019.02.027
Yuan, Y., Wang, C., Yang, J., Zheng, L., & Weiqiang, X. (2018). Performance of supercritical carbon dioxide (scCO2) mixed with oil-on-water (OoW) cooling in high-speed milling of 316L stainless steel. Procedia CIRP, 77, 391-396. doi:https://doi.org/10.1016/j.procir.2018.08.301
Zou, F., Dang, J., Wang, X., Zhang, H., Sun, X., An, Q., & Chen, M. (2021). Performance and mechanism evaluation during milling of CFRP laminates under cryogenic-based conditions. Composite Structures, 277, 114578. doi:https://doi.org/10.1016/j.compstruct.2021.114578

Details

Primary Language

English

Subjects

Tribology , Composite and Hybrid Materials , Machining

Journal Section

Research Article

Authors

Üsame Ali Usca
0000-0001-5160-5526
Türkiye

Ünal Değirmenci
0000-0003-1480-2488
Türkiye

Serhat Şap ^*
0000-0001-5177-4952
Türkiye

Publication Date

September 3, 2024

Submission Date

December 5, 2023

Acceptance Date

May 29, 2024

Published in Issue

Year 2024 Volume: 27 Number: 3

DOI

https://doi.org/10.17780/ksujes.1400508

IZ

https://izlik.org/JA65JU73PX

Cite

RIS / Bibtex

APA

Usca, Ü. A., Değirmenci, Ü., & Şap, S. (2024). INVESTIGATION THE EFFECTS OF SUSTAINABLE COOLING/LUBRICATION CONDITIONS ON THE MACHINABILITY OF Al-3Gr BASED HYBRID COMPOSITES. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 27(3), 688-705. https://doi.org/10.17780/ksujes.1400508

INVESTIGATION THE EFFECTS OF SUSTAINABLE COOLING/LUBRICATION CONDITIONS ON THE MACHINABILITY OF Al-3Gr BASED HYBRID COMPOSITES

INVESTIGATION THE EFFECTS OF SUSTAINABLE COOLING/LUBRICATION CONDITIONS ON THE MACHINABILITY OF Al-3Gr BASED HYBRID COMPOSITES

Abstract

Keywords

SÜRDÜRÜLEBİLİR SOĞUTMA/YAĞLAMA KOŞULLARININ Al-3Gr ESASLI HİBRİT KOMPOZİTLERİN İŞLENEBİLİRLİĞİ ÜZERİNDEKİ ETKİLERİNİN ARAŞTIRILMASI

Öz

Anahtar Kelimeler

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

Extraction of kaolin and tribo informative analysis of the Al-kaolin composite through machine learning approaches

Mechanical, wear and corrosion behavior of hot pressed, heat-treated Al6061 nano composites

Composites communications on AW2024/E-glass/TiC hybrid material by data-driven technique using linear regression model