Evidence map›Paper›PMID 42014439›Full record

ArticleScientific reports2026

Combined experimental and numerical evaluation of heat loss from natural fiber composites used as thermal insulation.

Satish Pujari, Harish Kumar Kolli, Manyala Gangadhar Rao

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Satish PujariDepartment of Mechanical Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, 535005, India. satish.p@lendi.edu.in.
Harish Kumar KolliIndian Institute of Petroleum and Energy, Visakhapatnam, Andhra Pradesh, 531035, India.
Manyala Gangadhar RaoDepartment of Mechanical Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, 535005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent times, most of the industries have adopted Polyurethane Foam (PUF) as a thermal insulation for steam pipes. Although it is good in terms of thermal insulation, it is non-disposable and non-biodegradable, which makes it harmful to the environment. In case of a fire accident, it may release hydrogen cyanide, which is toxic and detrimental to human beings. Considering these factors in the current work, PUF has been replaced with natural fiber-reinforced composites. An Experimental comparison of heat loss from the steam pipe using two natural fiber composite materials with different thicknesses and fiber volume concentration has been carried out in this work. Banana and jute fibers are used as natural fibers with varying insulation thicknesses (t = 10 to 80 mm) and fiber volume concentrations (ϕ = 30–90%). Numerical analysis using Computational Fluid Dynamics is also conducted to examine the temperature distribution within the thermal insulation. From the results, it has been observed that the optimum insulation thickness lies between 60 and 70 mm for both banana and jute composites. The decrease in heat loss is prominent after the fiber volume concentration increases to 60%. It is also observed that heat loss from banana fiber composites is less compared to jute fiber composites. Comparison of experimental data with numerical results has also been made in this work to evaluate the accuracy of the numerical analysis. From the comparison, it has been observed that the error value between the experimental and numerical analyses is within the range of ± 5%.

Indexed as

Banana fiberComputational fluid dynamicsHeat lossJute fiberNatural fiber compositesThermal insulation

Identifiers

PMID42014439
PMCPMC13266069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.