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.
Original language | English |
---|---|
Title of host publication | Minerals, Metals and Materials Series |
Publisher | Springer International Publishing |
Pages | 511-519 |
Number of pages | 9 |
Edition | 9783319510903 |
DOIs | |
Publication status | Published - 2017 |
Publication series
Name | Minerals, Metals and Materials Series |
---|---|
Number | 9783319510903 |
ISSN (Print) | 2367-1181 |
ISSN (Electronic) | 2367-1696 |
Bibliographical note
Publisher Copyright:© 2017, The Minerals, Metals & Materials Society.
Funding
Acknowledgments We acknowledge with great pleasure the financial support from Istanbul Technical University.
Funders | Funder number |
---|---|
Istanbul Teknik Üniversitesi |
Keywords
- Impurity capacity
- Molten melts
- Neural network
- Reddy-Blander