Evidence map›Paper›PMID 38312702›Full record

ArticleHeliyon2024

Statistical analysis of Cotton-Jute blended ratio for producing good quality blended yarn.

Md Redwanul Islam, Fahmida-E- Karim, Ayub Nabi Khan

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Md Redwanul IslamDepartment of Textile Engineering, Ahsanullah University of Science and Technology (AUST), Bangladesh.
Fahmida-E- KarimDepartment of Textile Engineering, BGMEA University of Fashion & Technology (BUFT), Bangladesh.
Ayub Nabi KhanDepartment of Textile Engineering, BGMEA University of Fashion & Technology (BUFT), Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present world is focusing on sustainable products. Most of the natural products collected from are environmentally friendly. In the textile sector the main raw material is fiber. Most textile products are made from the natural cotton fibers. But because of the shortage of this fiber, most of the researchers are looking forwards to other sources of natural fibers. Here in Bangladesh the natural jute fiber is available and the textile industries are making jute products but the jute products are comparatively lower price than cotton products. That's why some factories are making cotton-jute blended yarn to minimise the cost and increase the product's quality and appearance. Here in this research work, it was tried to identify the best cotton-jute blended ratio for producing good quality yarn. 80C-20 J, 60C-40 J and 40C-60 J blended ratios are compared with 100 C and 100 J yarn to analyse the results. The CV m%, Thick/Km +50 %, Neps/Km +200 %, IPI, RKM and Elongation% of blended yarns are evaluated and compared the results between the ratios. After that the yarn quality index (YQI) was calculated to identify the ratio which indicates a relation between yarns strength, elongation% and CVm. The other quality index was fiber quality index (FQI) which indicates a relation between fibers strength, fiber mean length, elongation% and fiber fineness. One way ANOVA was applied to see the significance level between the independent variables. Box plot was applied to see the visual effect of statistical analysis at the same time the regression results show the impact of cotton-jute ratio with an equation, through which it was easy to identify the perfect ratio. It was found that higher percentage of cotton and lower percentage of jute fiber blended yarn shows good results than others. The products which were made from the ratios were shown good results for their different use of purposes.

Indexed as

ANOVABlendingCotton-JuteFQIRegressionYQI

Identifiers

PMID38312702
PMCPMC10835373

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.