Evidence map›Paper›PMID 35744144›Full record

ArticleMaterials (Basel, Switzerland)2022

Parametric Study and Optimization of End-Milling Operation of AISI 1522H Steel Using Definitive Screening Design and Multi-Criteria Decision-Making Approach.

Muhammad Abas, Mohammed Alkahtani, Qazi Salman Khalid, Ghulam Hussain, Mustufa Haider Abidi, Johannes Buhl

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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

6 authors.

Muhammad AbasDepartment of Industrial Engineering, University of Engineering & Technology, Peshawar P.O. Box 25100, Pakistan.ORCID 0000-0002-9294-2964
Mohammed AlkahtaniDepartment of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.ORCID 0000-0001-7343-9098
Qazi Salman KhalidDepartment of Industrial Engineering, University of Engineering & Technology, Peshawar P.O. Box 25100, Pakistan.ORCID 0000-0003-2455-1336
Ghulam HussainMechanical Engineering Department, Faculty of Engineering, University of Bahrain, Isa Town 32038, Bahrain.
Mustufa Haider AbidiDepartment of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.ORCID 0000-0001-5609-5705
Johannes BuhlChair of Hybrid Manufacturing, Brandenburg University of Technology Cottbus-Senftenberg, Konrad-Wachsmann-Allee 17, D-03046 Cottbus, Germany.

Funding

King Saud University, Riyadh, Saudi Arabia RSP-2021/274
6 · The paper itself

Abstract

End-milling operation of steel grade material is a challenging task as it is hard-to-cut material. Proper selection of cutting tools, cutting conditions, and cutting process parameters is important to improve productivity, surface quality, and tool life. Therefore, the present study investigated the end-milling operation of AISI 1522H steel grade under minimum-quantity lubrication (MQL) conditions using a novel blend of vegetable oils, namely canola and olive oil. Cutting process parameters considered were spindle speed (

Indexed as

AISI 1522H steel gradecombinative distance-based assessment (CODAS)criteria importance through inter-criteria correlation (CRITIC)end millingminimum-quantity lubrication (MQL)optimization

Identifiers

PMID35744144
PMCPMC9229928

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.