Evidence map›Paper›PMID 35591522›Full record

ArticleMaterials (Basel, Switzerland)2022

Effect of Rice Husk-Based Silica on the Friction Properties of High Density Polyethylene Composites.

Yafei Shi, Miaomiao Qian, Xinru Wang, Wanjia Zhang, Xuewei Zhang, Xiaofeng Wang, Yanchao Zhu

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 18% of its field
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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. Article
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

7 authors at 1 institution in 1 country.

Yafei ShiCollege of Chemistry, Jilin University, Changchun 130012, China.
Miaomiao QianCollege of Chemistry, Jilin University, Changchun 130012, China.
Xinru WangCollege of Chemistry, Jilin University, Changchun 130012, China.
Wanjia ZhangCollege of Chemistry, Jilin University, Changchun 130012, China.
Xuewei ZhangCollege of Chemistry, Jilin University, Changchun 130012, China.
Xiaofeng WangState Key Laboratory of Inorganic Synthesis & Preparative Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Yanchao ZhuCollege of Chemistry, Jilin University, Changchun 130012, China.ORCID 0000-0001-7849-423X
Jilin University · CN

Funding

National Natural Science Foundation of China 21975100
6 · The paper itself

Abstract

Rice husk ash (RHA)-reinforced composites are now used in many tribological applications. We prepared two kinds of RHAs using different pretreatment and the same pyrolysis process, namely water-treated RHA (WRHA) and acid-treated RHA (ARHA). Comparing the two RHAs, the RHA pretreated with hydrochloric acid (HCl) was found to have a smaller particle size and a more uniform dispersion. Accordingly, the two kinds of RHAs were used as fillers and added to the high-density polyethylene (HDPE) matrix by an extrusion process. The results showed that the friction coefficient (COF) value of the composites with ARHA was reduced to 0.12 when an additional amount of 0.75 wt.% or 1.5 wt.%. WRHA was used as a filler to the amount of 1.5 wt.%, but the COF value was raised to about 0.21. The reason for this phenomenon may be due to its larger particle size and more severe abrasive wear. This work provides a method for making natural biomass fillers that can effectively reduce the COF of HDPE composites with slight decreases in mechanical properties.

Indexed as

biomassfriction coefficienthigh density polyethylenerice husk ash

Identifiers

PMID35591522
PMCPMC9099483
OpenAlexW4225153183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.