Comparative Process Parameter Optimization For Wire Arc Additive Manufacturing (WAAM) of E120C-GH4 Metal Cored and ER120S-G Solid Wire
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Anahtar Kelimeler
Destekleyen Kurum
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Teşekkür
Kaynakça
- [1] Çam, G. “Prospects of producing aluminum parts by wire arc additive manufacturing (WAAM)”, Materials Today: Proceedings, 62 (1), 77–85, (2022).
- [2] Güler, S., Serindağ, H.T., and Çam, G., “Wire Arc Additive Manufacturing (WAAM): Recent Developments and Prospects," Engineer and Machinery, 63 (706), 82–116 (2022).
- [3] Çam, G., and Günen, A. “Challenges and opportunities in the production of magnesium parts by directed energy deposition processes”, Journal of Magnesium and Alloys, 12, 1663-1686 (2024).
- [4] Wengang Z., Wu N., and Zhou W., “Effect of interpass temperature on wire arc additive manufacturing using high-strength metal-cored wire," Metals, 12(212), 1–15, (2022).
- [5] Kumar, A.; Maji, K., “Selection of process parameters for near-net shape deposition in wire arc additive manufacturing by genetic algorithm." Journal of Materials Engineering and Performance, 29, 3334–3352 (2020).
- [6] Tomaz, I.d.V., Colaço F.H.G., Sarfraz S., Pimenov D.Y., Gupta M.K., and Pintaude G., “Investigations on quality characteristics in gas tungsten arc welding process using an artificial neural network integrated with a genetic algorithm," The International Journal of Advanced Manufacturing Technology, 113, 3569–3583, (2021).
- [7] Internet: Fronius International GmbH (Fronius International).Web: https://applications.fronius.com/WeldCubeDemo/RoboticsTool/Start.html. Last access date: June 22, (2024).
- [8] L. J. L.Z. et. al., “Review of Wire Arc Additive Manufacturing for 3D Metal Printing," Int. J. of Automation Technology, Vol. 13, No. 3, (2019).
Ayrıntılar
Birincil Dil
İngilizce
Konular
Kaynak Teknolojileri
Bölüm
Araştırma Makalesi
Yazarlar
Mustafa Harman
*
0000-0001-6045-0570
Türkiye
Cemil Çetinkaya
0000-0002-0298-1143
Türkiye
Oğuzhan Yılmaz
0000-0002-2641-2324
Türkiye
Nevzat Bol
0000-0001-6700-7707
Türkiye
Erken Görünüm Tarihi
8 Ağustos 2024
Yayımlanma Tarihi
2 Ekim 2024
Gönderilme Tarihi
3 Mayıs 2024
Kabul Tarihi
21 Temmuz 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 27 Sayı: 5
Cited By
A Review of Machine Learning Applications on Direct Energy Deposition Additive Manufacturing—A Trend Study
Metals
https://doi.org/10.3390/met15090966