A review of some studies on impurity capacity predictions in molten melts

Bora Derin

doi:10.1007/978-3-319-51091-0_50

A review of some studies on impurity capacity predictions in molten melts

Bora Derin^*

^*Bu çalışma için yazışmadan sorumlu yazar

Metalurji ve Malzeme Müh.Böl.

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

Özet

This study is a collection of both newly published and/or presented works on impurity capacity predictions in molten melts which were carried out by Derin et al. Some sulfide capacity prediction results of iron oxide containing ternary silicate melts and industrial lead and copper slags using the Reddy-Blander model and some impurity capacity predictions of multicomponent oxide and salt melts obtained using a Artificial Neural Network Approach are discussed.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Minerals, Metals and Materials Series
Yayınlayan	Springer International Publishing
Sayfalar	511-519
Sayfa sayısı	9
Baskı	9783319510903
DOI'lar	https://doi.org/10.1007/978-3-319-51091-0_50
Yayın durumu	Yayınlandı - 2017

Yayın serisi

Adı	Minerals, Metals and Materials Series
Sayı	9783319510903
ISSN (Basılı)	2367-1181
ISSN (Elektronik)	2367-1696

Bibliyografik not

Publisher Copyright:
© 2017, The Minerals, Metals & Materials Society.

Finansman

Acknowledgments We acknowledge with great pleasure the financial support from Istanbul Technical University.

Finansörler	Finansör numarası
Istanbul Teknik Üniversitesi

Belgeye Erişim

10.1007/978-3-319-51091-0_50

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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abstract = "This study is a collection of both newly published and/or presented works on impurity capacity predictions in molten melts which were carried out by Derin et al. Some sulfide capacity prediction results of iron oxide containing ternary silicate melts and industrial lead and copper slags using the Reddy-Blander model and some impurity capacity predictions of multicomponent oxide and salt melts obtained using a Artificial Neural Network Approach are discussed.",

keywords = "Impurity capacity, Molten melts, Neural network, Reddy-Blander",

author = "Bora Derin",

note = "Publisher Copyright: {\textcopyright} 2017, The Minerals, Metals & Materials Society.",

year = "2017",

doi = "10.1007/978-3-319-51091-0_50",

language = "English",

series = "Minerals, Metals and Materials Series",

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AB - This study is a collection of both newly published and/or presented works on impurity capacity predictions in molten melts which were carried out by Derin et al. Some sulfide capacity prediction results of iron oxide containing ternary silicate melts and industrial lead and copper slags using the Reddy-Blander model and some impurity capacity predictions of multicomponent oxide and salt melts obtained using a Artificial Neural Network Approach are discussed.

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KW - Molten melts

KW - Neural network

KW - Reddy-Blander

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SP - 511

EP - 519

BT - Minerals, Metals and Materials Series

PB - Springer International Publishing

ER -

A review of some studies on impurity capacity predictions in molten melts

Özet

Yayın serisi

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap