NDLI: Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing

Content Provider	Springer Nature Link
Author	Fernández González, Daniel Martín Duarte, Ramón Ruiz Bustinza, Íñigo Mochón, Javier González Gasca, Carmen Verdeja, Luis Felipe
Copyright Year	2016
Abstract	Blast furnace operators expect to get sinter with homogenous and regular properties (chemical and mechanical), necessary to ensure regular blast furnace operation. Blends for sintering also include several iron by-products and other wastes that are obtained in different processes inside the steelworks. Due to their source, the availability of such materials is not always consistent, but their total production should be consumed in the sintering process, to both save money and recycle wastes. The main scope of this paper is to obtain the least expensive iron ore blend for the sintering process, which will provide suitable chemical and mechanical features for the homogeneous and regular operation of the blast furnace. The systematic use of statistical tools was employed to analyze historical data, including linear and partial correlations applied to the data and fuzzy clustering based on the Sugeno Fuzzy Inference System to establish relationships among the available variables.
Starting Page	2089
Ending Page	2095
Page Count	7
File Format	PDF
ISSN	10474838
Journal	JOM
Volume Number	68
Issue Number	8
e-ISSN	15431851
Language	English
Publisher	Springer US
Publisher Date	2016-06-30
Publisher Institution	The Minerals, Metals & Materials Society (TMS)
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Engineering Chemistry/Food Science Physics Environment Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Engineering Materials Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Characterization and Processing of Advanced Porous Materials

Microstructure informatics using higher-order statistics and efficient data-mining protocols

Integration of Advanced Simulation and Visualization for Manufacturing Process Optimization

Tomographic spectral imaging: Data acquisition and analysis via multivariate statistical analysis

Advanced gas atomization processing for Ti and Ti alloy powder manufacturing

Catalyst Alloys Processing

Surface Engineering for Extreme Conditions

Impact of processing conditions and solder materials on surface mount assembly defects

Processing of Advanced Cast Alloys for A-USC Steam Turbine Applications

Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing

Similar Documents

Characterization and Processing of Advanced Porous Materials

Microstructure informatics using higher-order statistics and efficient data-mining protocols

Integration of Advanced Simulation and Visualization for Manufacturing Process Optimization

Tomographic spectral imaging: Data acquisition and analysis via multivariate statistical analysis

Advanced gas atomization processing for Ti and Ti alloy powder manufacturing

Catalyst Alloys Processing

Surface Engineering for Extreme Conditions

Impact of processing conditions and solder materials on surface mount assembly defects

Processing of Advanced Cast Alloys for A-USC Steam Turbine Applications

Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing