Evidence map›Paper›PMID 40004334›Full record

ArticleMaterials (Basel, Switzerland)2025

Experimental Investigation of the Influence of Milling Conditions on Residual Stress in the Surface Layer of an Aerospace Aluminum Alloy.

Magdalena Zawada-Michałowska, Kamil Anasiewicz, Jarosław Korpysa, Paweł Pieśko

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 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

4 authors.

Magdalena Zawada-MichałowskaDepartment of Production Engineering, Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland.ORCID 0000-0003-3330-6340
Kamil AnasiewiczDepartment of Production Engineering, Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland.ORCID 0000-0001-8728-236X
Jarosław KorpysaDepartment of Production Engineering, Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland.ORCID 0000-0002-5833-7074
Paweł PieśkoDepartment of Production Engineering, Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland.ORCID 0000-0002-4152-5159

Funding

National Centre for Research and Development LIDER14/0153/2023
6 · The paper itself

Abstract

In this study, the correlations between milling conditions-namely, the cutting tool feed direction relative to the rolling direction, the milling type, the coolant application, as well as the cutting speed-and the surface residual stress of a selected aluminum alloy (2024 T351) were investigated. Determining the type and magnitude of residual stress is of paramount importance as this stress is among the primary causes of post-machining strain of thin-walled components. On the basis of the experimental results, it was found that all factors analyzed significantly affect the residual stress state. Specifically, milling in the parallel direction induces lower residual tensile stress compared to milling in the perpendicular direction. Analogously, up-milling yields lower tensile residual stress than down-milling, and flood cooling leads to lower tensile residual stress than MQL. It was clearly confirmed that as cutting speed increases, tensile residual stress also increases, but only up to a certain threshold; once the high-speed cutting regime is reached, tensile residual stress begins to decrease. Consequently, the proper selection of milling parameters is a crucial consideration for optimizing machining processes and minimizing machining-induced residual stress.

Indexed as

aluminum alloymachining conditionsmillingresidual stresssurface layer

Identifiers

PMID40004334
PMCPMC11857309

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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.