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Record W2617043220 · doi:10.11159/mmme17.132

Development of Waste Gas Recirculation System with Improvement of Sintering Productivity

2017· article· en· W2617043220 on OpenAlexvenueno aff
Eun-Ho Jeong, Jong-In Park, Byung-Kuk Cho

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsnot available
Fundersnot available
KeywordsProductivitySinteringEnvironmental scienceMaterials scienceWaste managementProcess engineeringMetallurgyEngineeringEconomics

Abstract

fetched live from OpenAlex

Recently, several type of the waste gas recirculation system have been wildly applied to reduce total volume of waste gas to be treated and reduce the coke breeze consumption.In conventional sintering process, the waste gas conditions below sinter bed is specific distributions under usual operation such as permeability, flowrate, temperature, moisture and SOx, Nox, Dioxine emission.A various layouts of the waste gas recirculation system has been developed to satisfy the demand of a specific plant condition.EOS and LEEP recycle 45~50% of the mixed waste gas onto the entire sinter bed and resulting in a 45~50% decrease of the waste gas treatment and emission.EPOSINT recycles 35% of waste gas from the bottom of the bed where temperature is high and the hot exhaust gas from the sinter cooler is mixed with the gas to increase energy efficiency.In these three types of waste gas recirculation system, the hot waste gas is reused in fore or middle part of sinter bed to help drying the raw material and coke combustion, therefore energy savings are verified.In this paper, a novel waste gas recirculation system possible to improve the sintering productivity has been successfully introduced into the iron ore sintering process in Pohang sinter plant, POSCO.It consists of two layout, the waste gas recirculation and the cooler gas recirculation parts.Compared with existing conventional processes, it is focused on maximizing the total suction flowrate through sinter bed which is known as important factor to increase the sintering productivity.Also, the hot gas from sinter cooler is reused to sinter bed to reduce energy consumption.Firstly, the absorption part for recycling was selected through lowest permeability zone where the flame front of combustion layer reaches the bottom of sinter pallet.To increase the suction flowrate at the zone, a high pressure blower compared to the main blower was applied and extended sealing flap was installed to prevent the flow interference between the main blower and the additional high pressure blower under the sinter pallets.Furthermore, to select the absorption zone, the temperature of recycling gas should be carefully considered to prevent recycling duct corrosion due to the moisture and SOx in the waste gas.The zone of recirculation hood was selected through highest permeability zone where the rear end of sinter strand to accept the plenty of recycling gas.Because the sintering process is almost finished in the zone, low oxygen and some moisture have no influence to sintering process.Secondly, the hot exhaust gas from cooler is recycled to forepart of sinter strand to reuse the sensible heat.After installation the new waste gas recirculation system.the operation data was improved, the productivity increased of 3.6% and coke bleeze consumption decreased of 8.6%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.194
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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