Sol-gel and co-precipitation synthesized hybrid nanofluids for enhanced CNC turning of AISI 4340 steel: an experimental and machine learning approach.

Dame Alemayehu Efa, Dejene Alemayehu Ifa, Naol Dessalegn Dejene, Habtamu Zewude Belachew, Dereje Fedasa Tegegn

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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1 · What the graph read from it

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2 citing papers in PubMed.

CrayStack: a simplified crayfish optimization driven stacking ensemble for prediction of machining quality characteristics under data scarcity.Scientific reports · 2026
Article
A sustainable hybrid FEA-AI optimization framework for multistage deep drawing of unidirectionally rolled copper micro-cups.Scientific reports · 2026
Article

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5 · Who and what money

Authors and funding

5 authors.

Dame Alemayehu EfaSchool of Mechanical Engineering, Institute of Technology, Wallaga University, P.O. Box.395, Nekemte, Ethiopia. dameeifaa@wollegauniversity.edu.et.

Dejene Alemayehu IfaSchool of Mechanical Engineering, Institute of Technology, Wallaga University, P.O. Box.395, Nekemte, Ethiopia.

Naol Dessalegn DejeneSchool of Mechanical Engineering, Institute of Technology, Wallaga University, P.O. Box.395, Nekemte, Ethiopia.

Habtamu Zewude BelachewDepartment of Chemistry, College of Natural and Computational Science, Dambi Dollo University, Dambi Dollo, Ethiopia.

Dereje Fedasa TegegnDepartment of Chemistry, College of Natural and Computational Science, Dambi Dollo University, Dambi Dollo, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Machining high-strength alloys, such as AISI 4340 steel, presents significant challenges in terms of surface integrity, production efficiency, and heat dissipation. This study investigated the effects of a novel hybrid nanofluid of copper oxide (CuO) and aluminum oxide (Al

Indexed as

Advanced machine learningAISI 4340 steelCNC turningNanoparticles

Identifiers

PMID41271859

DOI10.1038/s41598-025-25102-4

PMCPMC12638806

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