Evidence map›Paper›PMID 36295971›Full record

ArticleMicromachines2022

A Ti-6Al-4V Milling Force Prediction Model Based on the Taylor Factor Model and Microstructure Evolution of the Milling Surface.

Siyuan Zhu, Man Zhao, Jian Mao, Steven Y Liang

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Siyuan ZhuSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Man ZhaoSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID 0000-0001-7328-1649
Jian MaoSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Steven Y LiangSchool of Mechanical Engineering, Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332, USA.ORCID 0000-0003-2852-0959

Funding

Shanghai Pujiang Program; Young Scientific Research Team Cultivation Program of SUES [20PJ1404700]; [QNTD202112]
6 · The paper itself

Abstract

In this paper, a milling force prediction model considering the Taylor factor is established, and the Ti-6Al-4V milling force predicted by the model under different milling parameters is presented. In the study, the milling experiment of Ti-6Al-4V was carried out, the milling force was collected by the dynamometer, and the microstructure evolution of the milling surface before and after milling was observed by EBSD. Through the comparative analysis of the experimental results and the model prediction results, the reliability of the prediction model proposed in this study was verified, and the influences of the milling parameters on the milling force were further analyzed. Finally, based on the EBSD observation results, the effects of the milling parameters on the microstructure evolution of the milling surface were studied. The results show that both the tangential milling force and normal milling force increase with the increase in the milling depth and feed rate. Among the milling parameters selected in this study, the milling depth has the greatest influence on the milling force. The average errors of the tangential milling force and normal milling force predicted by the milling force model are less than 10%, indicating that the milling force prediction model established in this paper considering Taylor factor is suitable for the prediction of the Ti-6Al-4V milling force. With the change in the milling parameters, the grain structure, grain size, grain boundary distribution, phase distribution, and micro-texture of the material surface change to varying degrees, and the plastic deformation of the milling surface is largely coordinated by the slip.

Indexed as

EBSDmicrostructuremilling forceTaylor factorTi-6Al-4V

Identifiers

PMID36295971
PMCPMC9612094

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