Evidence map›Paper›PMID 40508615›Full record

ArticleMaterials (Basel, Switzerland)2025

Research on Energy Management in Forward Extrusion Processes Based on Experiment and Finite Element Method Application.

Tomasz Miłek, Olga Orynycz, Jonas Matijošius, Karol Tucki, Ewa Kulesza, Edward Kozłowski, Andrzej Wasiak

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

7 authors.

Tomasz MiłekFaculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland.ORCID 0000-0002-2039-3388
Olga OrynyczDepartment of Production Management, Faculty of Engineering Management, Bialystok University of Technology, Wiejska Street 45A, 15-351 Bialystok, Poland.ORCID 0000-0002-2056-3260
Jonas MatijošiusMechanical Science Institute, Vilnius Gediminas Technical University, Plytinės Str. 25, LT-10105 Vilnius, Lithuania.ORCID 0000-0001-6006-9470
Karol TuckiDepartment of Production Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska Street 164, 02-787 Warsaw, Poland.ORCID 0000-0001-7340-4100
Ewa KuleszaDepartment of Mechanics and Applied Computer Science, Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska Street 45A, 15-351 Bialystok, Poland.
Edward KozłowskiFaculty of Management, Lublin University of Technology, Nadbystrzycka 38, 20-618 Lublin, Poland.ORCID 0000-0002-7147-4903
Andrzej WasiakAdvisors Panel Production Engineering, Alternative Energy Sources Bialystok, 15-351 Bialystok, Poland.ORCID 0000-0002-0991-8665

Funding

No. WZ/WIZ-INZ/2/2025. No. WZ/WIZ-INZ/2/2025.the Faculty of Engineering Management (WIZ) of Bialystok University of Technology, No. WZ/WIZ-INZ/2/2025. the Faculty of Engineering Management (WIZ) of Bialystok University of Technology, No. WZ/WIZ-INZ/2/2025.
6 · The paper itself

Abstract

This paper advances the forward extrusion process by integrating sustainable methodologies and optimizing energy efficiency. This research investigates the impact of die geometry and elongation coefficients on energy usage and process efficiency, employing finite element method (FEM) simulations alongside empirical analysis. Artificial neural networks and experimental data were utilized to predict process energy. The experimental study utilized flat, conical, and arc-shaped dies to extrude lead profiles exhibiting different elongation coefficients. The study analyzed the dynamics of material flow, energy requirements, and maximum forces. Patterns of deformation, distribution of tension, and losses of energy were discerned, with finite element models enhancing understanding of these phenomena. The mathematical framework forecasting the peak extrusion force in relation to elongation parameters was substantiated via residual diagnostics and regression analysis. The findings indicate that conical and arc dies can conserve up to 15% of the energy in comparison to flat dies, thereby improving material flow and reducing deformation forces. This comprehensive strategy provides practical solutions to reduce energy consumption and improve metal forming processes, thereby enhancing industrial efficiency and sustainability. The results not only benefit industry but also align with environmental objectives, thereby increasing the efficiency and sustainability of extrusion operations.

Indexed as

decision-making in industrial processesenergy efficiency in manufacturingfinite element method in metal formingforward extrusion process optimizationpredictive modeling for process optimization

Identifiers

PMID40508615
PMCPMC12155954

What OpenQuestion holds

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LicenceCC BY
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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.