Understanding Machining Process Parameters and Optimization of High-Speed Turning of NiTi SMA Using Response Surface Method (RSM) and Genetic Algorithm (GA).

Yanzhe Zhao, Li Cui, Vinothkumar Sivalingam, Jie Sun

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing 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

3 citing papers in PubMed.

Optimizing Gun Drilling Parameters for Oxygen-Free Copper Using Response Surface Methodology and Genetic Algorithm.Materials (Basel, Switzerland) · 2025
Article
Optimization Algorithms and Their Applications and Prospects in Manufacturing Engineering.Materials (Basel, Switzerland) · 2024
Review
Analysis of Cutting Forces and Geometric Surface Structures in the Milling of NiTi Alloy.Materials (Basel, Switzerland) · 2024
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.

Yanzhe ZhaoSchool of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China.ORCID 0000-0003-0950-403X

Li CuiSchool of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China.

Vinothkumar SivalingamKey Laboratory of High-Efficiency and Clean Mechanical Manufacture, National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China.ORCID 0000-0002-6705-5933

Jie SunKey Laboratory of High-Efficiency and Clean Mechanical Manufacture, National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China.

Funding

Future for Young Scholars of Shandong University 31360082064026Key Research and development program of Shandong province 2022CXGC020202Scientific Research Foundation of Shanghai Polytechnic University EGD23DS02Shanghai Natural Science Foundation 20ZR1421000

6 · The paper itself

Abstract

This study aimed to optimize machining parameters to obtain better surface roughness and remnant depth ratio values under dry turning of NiTi-shape memory alloy (SMA). During the turning experiments, various machining parameters were used, including three different cutting speeds

Indexed as

genetic algorithmmulti-objective optimizationremnant depth ratioRSMsurface roughness

Identifiers

PMID37687476

DOI10.3390/ma16175786

PMCPMC10488984

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