Evidence map›Paper›PMID 33251467›Full record

ArticleACS omega2020

Influence of Foam Characteristics on the Aviation Coolants' Pollution Degree.

Jixin Mao, Teng Chen, Xin Xu, Shizhao Yang, Li Guo, Jun Ma, Ting Yao, Yongliang Xin, Jianqiang Hu

Abstract read
In one paragraph

Article in ACS omega, 2020. 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
–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

1 citing paper in PubMed.

  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

9 authors.

Jixin MaoDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.
Teng ChenDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.
Xin XuDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.
Shizhao YangDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.
Li GuoDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.
Jun MaDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.
Ting YaoAnalysis anst Center, Huangshan University, Huangshan 245041, China.
Yongliang XinGuangzhou Qualid Tety Supervision Station, Guangzhou 510000, China.
Jianqiang HuDepartment of Aviation Oil and Material, Air Force Logistics College, Xuzhou 221000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The particulate contamination degree of aviation coolants (ACs) is overestimated commonly because the bubbles in ACs are erroneously recognized as particulate contaminants during the measurement process. In this work, the factors that influence the foam behavior and contamination degree of ACs are investigated. It is evidenced that the foam behavior of ACs is basically unaffected by the ratio of glycol to water of the base solution, which, however, is highly influenced by the organic additive. Also, the more the organic additive arranged at the gas-liquid interface, the lower the surface tension of glycol aqueous (GA) solution and the higher the contamination degree. Furthermore, the foam characteristics and contamination degree of ACs are highly affected by the working conditions, such as airflow, operating temperature, and gas pressure. Besides, the defoaming rate can be accelerated by adding an antifoaming agent or ultrasonic processing; however, the defoaming effect of the natural static method and pressuring positively treatment is disappointing. To further improve the defoaming effect, several efficient synergetic methods of defoaming have been proposed.

Identifiers

PMID33251467
PMCPMC7689932

What OpenQuestion holds

Textmetadata
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.