Evidence map›Paper›PMID 37100933›Full record

ArticleScientific reports2023

Achieving effective interlayer bonding of PLA parts during the material extrusion process with enhanced mechanical properties.

M Saravana Kumar, Muhammad Umar Farooq, Nimel Sworna Ross, Che-Hua Yang, V Kavimani, Adeolu A Adediran

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

6 authors.

M Saravana KumarGraduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, 10608, Taiwan. saravana312@gmail.com.ORCID https://orcid.org/0000-0001-8564-5905
Muhammad Umar FarooqSchool of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.ORCID http://orcid.org/0000-0003-4139-2082
Nimel Sworna RossDepartment of Mechanical Engineering, Saveetha School of Engineering, SIMATS, Chennai, Tamilnadu, India.ORCID https://orcid.org/0000-0002-4016-8970
Che-Hua YangGraduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, 10608, Taiwan.
V KavimaniDepartment of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, 641021, India.
Adeolu A AdediranDepartment of Mechanical Engineering, Landmark University, P.M.B. 1001, Omu-Aran, Kwara State, Nigeria. dladesoji@gmail.com.ORCID https://orcid.org/0000-0001-9457-1071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The additive manufacturing technique of material extrusion has challenge of excessive process defects and not achieving the desired mechanical properties. The industry is trying to develop certification to better control variations in mechanical attributes. The current study is a progress towards understanding the evolution of processing defects and the correlation of mechanical behavior with the process parameters. Modeling of the 3D printing process parameters such as layer thickness, printing speed, and printing temperature is carried out through L27 orthogonal array using Taguchi approach. In addition, CRITIC embedded WASPAS is adopted to optimize the parts' mechanical attributes and overcome the defects. Flexural and tensile poly-lactic acid specimens are printed according to ASTM standards D790 and D638, respectively, and thoroughly analyzed based on the surface morphological analysis to characterize defects. The parametric significance analysis is carried out to explore process science where the layer thickness, print speed, and temperature significantly control the quality and strength of the parts. Mathematical optimization results based on composite desirability show that layer thickness of 0.1 mm, printing speed of 60 mm/s, and printing temperature of 200 °C produce significantly desirable results. The validation experiments yielded the maximum flexural strength of 78.52 MPa, the maximum ultimate tensile strength of 45.52 MPa, and maximum impact strength of 6.21 kJ/m

Identifiers

PMID37100933
PMCPMC10133452

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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.