Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 169

The DOI matches its Crossref record.

Analysis of the tensile strength of polyester/hybrid ramie–cotton fabric composites

Paiva Júnior, C.Z, de Carvalho, L.H, Fonseca, V.M, Monteiro, S.N, d’Almeida, J.R.M·2004·Polymer Testing

Abstract

Abstract Plain weave hybrid ramie–cotton fabrics were used as reinforcement in polyester matrix composites. The tensile strength of the composites was determined as a function of the volume fraction and orientation of the ramie fibers. Composites were tensile tested with ramie fibers oriented parallel, (0), to the tensile axis and with various stacking sequence configurations (0/90). The results obtained showed that the main parameter governing the tensile properties of the composites was the ramie volume fraction parallel to the direction of the tensile axis. The contribution of the cotton fibers was shown to be minimal. Indeed, the results obtained for the tensile strength of the (0) composites were shown to follow a common rule of mixtures law, disregarding the contribution of the cotton fibers. Values of tensile strength of up to 338% greater than that of the matrix were obtained which shows the potential of the ramie fiber as reinforcement in lignocellulosic fiber composites.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s0142-9418(03)00071-0

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 169

Metadata

Authors
Paiva Júnior, C. Z., de Carvalho, L. H., Fonseca, V. M., Monteiro, S. N., & d’Almeida, J. R. M.
Venue
Polymer Testing
Publisher
Elsevier BV
Published
2004-04
Volume
23
Issue
2
Pages
131-135
ISSN
0142-9418 (ISSN-L)
OpenAlex
W2028234770
Cited by
169
References
0
FWCI
3.59
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Analysis of the tensile strength of polyester/hybrid ramie–cotton fabric composites. https://app.cochat.ai/papers/10.1016/s0142-9418(03)00071-0
The paper
Paiva Júnior, C. Z., de Carvalho, L. H., Fonseca, V. M., Monteiro, S. N., & d’Almeida, J. R. M. (2004). Analysis of the tensile strength of polyester/hybrid ramie–cotton fabric composites. Polymer Testing. https://doi.org/10.1016/s0142-9418(03)00071-0

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.