Experimental Optimization of Mechanical Performance in T6 Heat-Treated Aluminum Alloy A380 with Machine Learning-Based Prediction of Specific Wear Behavior
Yazarlar (3)
Dr. Öğr. Üyesi Ahmet TIĞLI Sinop Üniversitesi, Türkiye
Dr. Öğr. Üyesi Hüseyin Köse Batman University, Türkiye
Dr. Öğr. Üyesi İsmail Bayar Batman University, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | International Journal of Metalcasting (Q2) | ||
| Dergi ISSN | 1939-5981 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 11-2025 |
| Kabul Tarihi | 31-10-2025 | Yayınlanma Tarihi | 12-11-2025 |
| Cilt / Sayı / Sayfa | 0 / 1 / 1–18 | DOI | 10.1007/s40962-025-01801-6 |
| Makale Linki | https://doi.org/10.1007/s40962-025-01801-6 | ||
| UAK Araştırma Alanları |
Döküm Teknolojileri
Malzeme Prosesi ve Mikroyapı Kontrolü
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| Özet |
| This study investigates the influence of quenching temperature, aging temperature, and time on the mechanical properties of gravity die-cast A380 aluminum alloys subjected to T6 heat treatment. Samples were aged at 175°C and 275°C for different time periods, with quenching performed at 20°C and 80°C. The effects of heat treatment on microstructure, tensile strength, wear behavior, and hardness were evaluated. The results demonstrated that ultimate tensile strength increased substantially from 165 MPa to 275 MPa at an aging temperature of 175°C, whereas a higher aging temperature of 275°C did not provide any additional improvement. In contrast, hardness showed a strong dependence on aging duration at 175°C, rising from 108 HV to 152 HV. However, at 275°C, hardness declined significantly, reaching as low as 80 HV. The highest wear resistance was achieved in the samples quenched at 20°C and … |
| Anahtar Kelimeler |
| A380 | aluminum | hardness | heat treatment | machine learning | tensile | wear |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 2 |