Evidence map›Paper›PMID 40732844›Full record

ArticlePolymers2025

A Novel Parametrical Approach to the Ribbed Element Slicing Process in Robotic Additive Manufacturing.

Ivan Gajdoš, Łukasz Sobaszek, Pavol Štefčák, Jozef Varga, Ján Slota

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. 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.

Ivan GajdošDepartment of Technology, Materials and CAx, Faculty of Mechanical Engineering, Technical University of Košice, 04001 Košice, Slovakia.ORCID 0000-0003-1496-1892
Łukasz SobaszekDepartment of Information Technology, Faculty of Mathematics and Information Technology, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0003-1298-2438
Pavol ŠtefčákDepartment of Technology, Materials and CAx, Faculty of Mechanical Engineering, Technical University of Košice, 04001 Košice, Slovakia.ORCID 0000-0002-1855-789X
Jozef VargaPrototyping and Innovation Centre, Faculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.
Ján SlotaDepartment of Technology, Materials and CAx, Faculty of Mechanical Engineering, Technical University of Košice, 04001 Košice, Slovakia.ORCID 0000-0002-9054-0902

Funding

European Union No. 09I03-03-V04
6 · The paper itself

Abstract

Additive manufacturing is one of the most common technologies used in prototyping and manufacturing usable parts. Currently, industrial robots are also increasingly being used to carry out this process. This is due to a robot's capability to fabricate components with structural configurations that are unattainable using conventional 3D printers. The number of degrees of freedom of the robot, combined with its working range and precision, allows the construction of parts with greater dimensions and better strength in comparison to conventional 3D printing. However, the implementation of a robot into the 3D printing process requires the development of novel solutions to streamline and facilitate the prototyping and manufacturing processes. This work focuses on the need to develop new slicing methods for robotic additive manufacturing. A solution for alternative control code generation without external slicer utilization is presented. The implementation of the proposed method enables a reduction of over 80% in the time required to generate new G-code, significantly outperforming traditional approaches. The paper presents a novel approach to the slicing process in robotic additive manufacturing that is adopted for the fused granular fabrication process using thermoplastic polymers.

Indexed as

additive manufacturingindustrial robotrobotic 3D printingslicer

Identifiers

PMID40732844
PMCPMC12298775

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.