Evidence map›Paper›PMID 39940628›Full record

ArticlePolymers2025

Effects of Process Parameters on the Mechanical Properties and Microstructure of Additively Manufactured Carbon Black Particles-Reinforced Thermoplastic Polyurethane Composite Samples.

Fatima Hira, Muhammad Asif, Hammad Ullah, Imran Khan, Ghulam Hussain, Muhammad Amir, Mohammed Alkahtani

Abstract read
In one paragraph

Article in Polymers, 2025. 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. Review
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.

Fatima HiraDepartment of Physics, Shaheed Benazir Bhutto Women University, Peshawar 25000, Pakistan.
Muhammad AsifDepartment of Mathematics, University of Peshawar, Peshawar 25120, Pakistan.
Hammad UllahDepartment of Computer Science, Sarhad University of Science & Information Technology (SUIT), Peshawar 25000, Pakistan.
Imran KhanDepartment of Mechanical Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan.ORCID 0000-0002-6661-4182
Ghulam HussainMechanical Engineering Department, College of Engineering, University of Bahrain, Isa Town 32038, Bahrain.
Muhammad AmirDepartment of Data Science, Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Mohammed AlkahtaniDepartment of Industrial Engineering, College of Engineering, King Saud University, Riyadh 12372, Saudi Arabia.ORCID 0000-0001-7343-9098

Funding

King Saud University RSP2024R274
6 · The paper itself

Abstract

Additive manufacturing (AM) techniques make fabricating complex designs, prototypes, and end-user products possible. Conductive polymer composites find applications in flexible electronics, sensor fabrication, and electrical circuits. In this study, thermoplastic polyurethane (TPU)-based conductive polymer composite samples were fabricated via fused filament fabrication (FFF). The effects of three important process parameters, including infill density (ID), layer thickness (LT), and fan speed (FS), on various mechanical properties (tensile and compressive properties) were investigated. It was observed that all the considered process parameters affect the mechanical properties, and they are significant parameters, as per the analysis of variance (ANOVA). From scanning electron microscopy (SEM) and optical microscopy, various combinations of parameters such as low ID, high LT, and high FS resulted in the formation of defects such as voids, cracks, and warping, which resulted in low mechanical properties. Finally, process parameter optimization was performed, resulting in a conductive polymer composite with the best possible combination of mechanical properties at high ID, low LT, and medium FS.

Indexed as

3D printingANOVAfused filament fabricationmechanical propertiesoptimizationparametric study

Identifiers

PMID39940628
PMCPMC11820639

What OpenQuestion holds

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Registered trials

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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.