Makale detayı · 2013
Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024 B4C composites produced by powder metallurgy
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Atıf 143
Üst %1
Yüzdelik 99.2%
FWCI 13.16
- Yıl
- 2013
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Composites Part B: Engineering
- Katalog eşleşmesi (ISSN) Composites Part B: Engineering
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
143 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 43 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- Improving mechanical properties of nano-sized TiC particle reinforced AA7075 Al alloy composites produced by ball milling and hot pressing 2021
- Improving mechanical properties of nano-sized TiC particle reinforced AA7075 Al alloy composites produced by ball milling and hot pressing 2021
- Proper estimation of surface roughness using hybrid intelligence based on artificial neural network and genetic algorithm 2021
- Investigation of wear behaviours of Al matrix composites reinforced with different B4C rate produced by powder metallurgy method 2017
- Optimization of Dry Sliding Wear in Hot-Pressed Al/B4C Metal Matrix Composites Using Taguchi Method and ANN 2024
- Optimization of Dry Sliding Wear in Hot-Pressed Al/B4C Metal Matrix Composites Using Taguchi Method and ANN 2024
- Employing artificial neural networks for minimizing surface roughness and power consumption in abrasive machining of wood 2017