Effect of Milling Processing Parameters on the Surface Roughness and Tool Cutting Forces of T2 Pure Copper.

Fuqiang Lai, Anqiong Hu, Kun Mao, Zhangbin Wu, Youxi Lin

Abstract read

In one paragraph

Article in Micromachines, 2023. 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.

Investigating the Impact of Robotic Milling Parameters on the Surface Roughness of Al-Alloy Fabricated by Wire Arc Additive Manufacturing.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

5 authors.

Fuqiang LaiSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.

Anqiong HuSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.

Kun MaoSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.

Zhangbin WuSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.ORCID 0000-0002-3375-4939

Youxi LinSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.

Funding

National Natural Science Foundation of China Grant No. 51975123National Natural Science Foundation of China Grant No. 52205185Project on the Integration of Industry, Education and Research of Fujian Province, China Grant No. 2021Y4004Starting Grants of Fuzhou University Grant No. GXRC-20018Starting Grants of Fuzhou University Grant No. GXRC-21052

6 · The paper itself

Abstract

In this paper, the responses of machined surface roughness and milling tool cutting forces under the different milling processing parameters (cutting speed

Indexed as

cutting forcemachining parameters optimizationsurface roughnessT2 pure coppertool displacement acceleration

Identifiers

PMID36677285

DOI10.3390/mi14010224

PMCPMC9863517

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.