SwePub
Tyck till om SwePub Sök här!
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Azmi MAN)
 

Sökning: WFRF:(Azmi MAN) > (2019) > Grindability and ab...

Grindability and abrasive behavior of coal blends : analysis and prediction

Idris, Alamin (författare)
Man, Zakaria (författare)
Universiti Teknologi PETRONA, MYS
Bustam, Azmi (författare)
Universiti Teknologi PETRONA, MYS
visa fler...
Rabat, Nurul Ekmi (författare)
Universiti Teknologi PETRONA, MYS
Uddin, Fahim (författare)
Universiti Teknologi PETRONA, MYS
Mannan, Hafiz Abdul (författare)
Universiti Teknologi PETRONA, MYS
visa färre...
 (creator_code:org_t)
2019-11-20
2019
Engelska.
Ingår i: International Journal of Coal Preparation and Utilization. - : Taylor & Francis. - 1939-2699 .- 1939-2702. ; , s. 1-27
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Low-grade coals are blended with high-quality coals to meet economic, environmental, and quality specifications. Hence, the grindability and abrasiveness of coal blends are crucial economic and operational parameters. This work evaluates, analyzes, and predicts the grindability and abrasive behavior of coal blends. Three binary coal blends with common low-grade coal were first prepared at various ratios. Blends 1 and 2 were composed of identical and similar ranks, whereas Blend 3 was composed of different ranks. The blends were analyzed using proximate, ultimate analyzers, and a Bomb calorimeter. The grindability and abrasive behavior of the blends were measured using Hardgrove grindability index (HGI) and Yancey, Geer, and Price methods, respectively. Further, the coarser (+75 mu m) and finer (-75 mu m) fractions of HGI experiment were characterized using proximate, ultimate and heating value analyses. The additivity of HGI values was observed for Blend 1 and Blend 2, whereas, the non-additive behavior was observed in Blend 3. Further, the blends' mineral matter contents and abrasiveness index were found to be additive. Several existing models were found to be inaccurate for HGI predictions. Therefore, a new cross-validated model using multi-linear regression was proposed. The model exhibited better HGI predictions of coal blends with a coefficient of determination R-2 = 0.9416.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Kemiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Chemical Engineering (hsv//eng)

Nyckelord

Chemical Engineering
Kemiteknik

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy