Minimise sinter degradation between sinter plant and blast furnace exploiting embedded real-time analytics
Sector: Steel • Location: Germany, Austria
Source: EU Funding & Tenders Portal
High quality sinter produced with low costs and emissions is important for iron production. Stresses during transport generate return fines that must be processed again. Conventional sinter quality monitoring is slow and expensive. In MinSiDeg, several innovative on-line methods for continuous quality monitoring will be established, and combined and exploited within new embedded real-time tools f
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | High quality sinter produced with low costs and emissions is important for iron production. Stresses during transport generate return fines that must be processed again. Conventional sinter quality monitoring is slow and expensive. In MinSiDeg, several innovative on-line methods for continuous quality monitoring will be established, and combined and exploited within new embedded real-time tools for machine supported quality control. The degradation during transport will be minimised by new transfer systems. As a result, the losses due to transport will be minimised and high and stable quality sinter will be produced with low costs and energy consumption. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
