Makale detayı · 2007 · article
A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method
Dergi
Journal of Materials Processing Technology
OpenAlex
Üst %10
Yıl2007
Atıf262OpenAlex
Atıf299Semantic Scholar · 11 etkili
Yüzdelik%97,3
FWCI9,671,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q2
Veri kaynağı ayrımı
- YÖKSİS dergi adıJournal of Materials Processing Technology
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.
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Atıflar
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262atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 39 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- 2020 Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithmsAtıf 120 · OpenAlex
- 2014 Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cuttingAtıf 76 · OpenAlex
- 2014 Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cuttingAtıf 76 · OpenAlex
- 2011 Prediction of surface roughness in abrasive waterjet machining of particle reinforced MMCs using genetic expression programmingAtıf 71 · OpenAlex
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- 2010 Effect of Traverse Speed on Abrasive Waterjet Machining of Age Hardened Inconel 718 Nickel Based SuperalloyAtıf 69 · OpenAlex
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