Evidence map›Paper›PMID 36080660›Full record

ArticlePolymers2022

Experimental Investigation and Optimization of Turning Polymers Using RSM, GA, Hybrid FFD-GA, and MOGA Methods.

Abdulrahman I Alateyah, Yasmine El-Taybany, Samar El-Sanabary, Waleed H El-Garaihy, Hanan Kouta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Abdulrahman I AlateyahDepartment of Mechanical Engineering, College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia.ORCID 0000-0003-4503-2033
Yasmine El-TaybanyDepartment of Production Engineering and Mechanical Design, Port Said University, Port Fouad 42526, Egypt.
Samar El-SanabaryDepartment of Production Engineering and Mechanical Design, Port Said University, Port Fouad 42526, Egypt.ORCID 0000-0001-9829-3814
Waleed H El-GaraihyDepartment of Mechanical Engineering, College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia.ORCID 0000-0002-7026-965X
Hanan KoutaDepartment of Production Engineering and Mechanical Design, Port Said University, Port Fouad 42526, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The machining of polymers has become widely common in several components of industry 4.0 technology, i.e., mechanical and structural components and chemical and medical instruments, due to their unique characteristics such as: being strong and light-weight with high stiffness, chemical resistance, and heat and electricity insolation. Along with their properties, there is a need to attain a higher quality surface finish of machined parts. Therefore, this research concerns an experimental and analytical study dealing with the effect of process parameters on process performance during the turning two different types of polymers: high-density polyethylene (HDPE) and unreinforced polyamide (PA6). Firstly, the machining output responses (surface roughness (Ra), material removal rate (MRR), and chip formation (λc)) are experimentally investigated by varying cutting speed (v

Indexed as

ANOVAchip formationGAMOGAMRRoptimizationpolymersRSMsurface roughnessturning

Identifiers

PMID36080660
PMCPMC9459756

What OpenQuestion holds

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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.