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Statements

Subject Item

n2:RIV%2F46747885%3A24410%2F14%3A%230003691%21RIV15-MSM-24410___

rdf:type

skos:Concept n13:Vysledek

rdfs:seeAlso

http://www.jeffjournal.org/papers/Volume9/V9I3%20(6)%20T.%20Hussain.pdf

dcterms:description

Compressed air is a major component of energy costs incurred in the weaving of textile fabrics on air-jet looms. The consumption of compressed air in air-jet weaving depends on different process variables. In this study, the effect of weft yarn count, reed count, fabric width and loom speed on the compressed air consumption of air-jet loom was determined using response surface methodology. Fabric width was found to be the most dominant factor affecting the air consumption followed by loom speed, reed count, and weft yarn count respectively. A statistical model for predicting the compressed air consumption on air-jet loom was developed. The prediction ability and accuracy of the developed model was assessed by the fitted line plot between the predicted and actual air consumption values. The prediction model may be used for optimizing the production planning, estimating the share of compressed air cost in weaving a particular fabric style, and in identifying any air wastages in the weaving shed by comparing the actual compressed air consumption with that predicted by the model which was developed under controlled conditions without any air leakages. Compressed air is a major component of energy costs incurred in the weaving of textile fabrics on air-jet looms. The consumption of compressed air in air-jet weaving depends on different process variables. In this study, the effect of weft yarn count, reed count, fabric width and loom speed on the compressed air consumption of air-jet loom was determined using response surface methodology. Fabric width was found to be the most dominant factor affecting the air consumption followed by loom speed, reed count, and weft yarn count respectively. A statistical model for predicting the compressed air consumption on air-jet loom was developed. The prediction ability and accuracy of the developed model was assessed by the fitted line plot between the predicted and actual air consumption values. The prediction model may be used for optimizing the production planning, estimating the share of compressed air cost in weaving a particular fabric style, and in identifying any air wastages in the weaving shed by comparing the actual compressed air consumption with that predicted by the model which was developed under controlled conditions without any air leakages.

dcterms:title

Statistical Model for Predicting Compressed Air Consumption on Air-Jet Looms Statistical Model for Predicting Compressed Air Consumption on Air-Jet Looms

skos:prefLabel

Statistical Model for Predicting Compressed Air Consumption on Air-Jet Looms Statistical Model for Predicting Compressed Air Consumption on Air-Jet Looms

skos:notation

RIV/46747885:24410/14:#0003691!RIV15-MSM-24410___

n3:aktivita

n9:I

n3:aktivity

I

n3:cisloPeriodika

3

n3:dodaniDat

n17:2015

n3:domaciTvurceVysledku

Jabbar, Abdul

n3:druhVysledku

n11:J

n3:duvernostUdaju

n12:S

n3:entitaPredkladatele

n8:predkladatel

n3:idSjednocenehoVysledku

47342

n3:idVysledku

RIV/46747885:24410/14:#0003691

n3:jazykVysledku

n4:eng

n3:klicovaSlova

compresses air consumption; air-jet loom; statistical model prediction; correlation analysis

n3:klicoveSlovo

n6:correlation%20analysis n6:compresses%20air%20consumption n6:air-jet%20loom n6:statistical%20model%20prediction

n3:kodStatuVydavatele

US - Spojené státy americké

n3:kontrolniKodProRIV

[2DB9AA9385D5]

n3:nazevZdroje

Journal of Engineered Fibers and Fabrics

n3:obor

n16:JS

n3:pocetDomacichTvurcuVysledku

1

n3:pocetTvurcuVysledku

5

n3:rokUplatneniVysledku

n17:2014

n3:svazekPeriodika

9

n3:tvurceVysledku

Ahmad, Fahim Haleem, Noman Ahmed, Shakeel Hussain, Tanveer Jabbar, Abdul

n3:wos

000347616900006

s:issn

1558-9250

s:numberOfPages

7

n14:organizacniJednotka

24410