Evidence map›Paper›PMID 37177625›Full record

ArticleSensors (Basel, Switzerland)2023

Accurate Cutting-Force Measurement with Smart Tool Holder in Lathe.

Wandong Song, Jingjie Zhang, Guangchun Xiao, Mingdong Yi, Zhaoqiang Chen, Li Wang, Jun Chen, Chonghai Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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. Review
  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

8 authors.

Wandong SongSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.ORCID 0009-0008-4014-4347
Jingjie ZhangSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Guangchun XiaoSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Mingdong YiSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Zhaoqiang ChenSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.ORCID 0000-0003-3380-3689
Li WangSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Jun ChenSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Chonghai XuSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.ORCID 0000-0001-6816-4325

Funding

Key Research and Development Plan of Shandong Province 2019GGX104052Key Research and Development Plan of Shandong Province 2019GGX104084National Natural Science Foundation of China 51905286National Natural Science Foundation of China 52075276Project for the Innovation Team of Universities and Institutes in Jinan 2018GXRC005
6 · The paper itself

Abstract

Cutting force in lathe work is closely related to tool wear and affects the turning quality. Direct measurement of the cutting force by measuring the strain of the tool holder is challenging because the tool holder design aims to be highly rigid in order to undertake large cutting forces. Accordingly, the most popular dynamometer designs modify the standard tool holder by decreasing the structural rigidity of the holder, which reduces the machining precision and is not widely accepted. In order to solve the issue of the low stiffness of the dynamometer reducing the machining precision, in this paper, the ultra-low strain on the tool holder was successfully detected by the highly sensitive semiconductor strain gauges (SCSG) adjacent to the blade cutting insert. However, the cutting process would generate much heat, which increases the force measuring area temperature of the tool holder by about 30 °C. As a result, the readout drifted significantly with the temperature changes due to the high temperature coefficient of SCSG. To solve this problem, the temperature on the tool holder was monitored and a BP neural network was proposed to compensate for temperature drift errors. Our methods improved the sensitivity (1.14 × 10

Indexed as

cutting forcesemiconductor strain gaugetemperature compensationtool holder

Identifiers

PMID37177625
PMCPMC10181587

What OpenQuestion holds

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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.