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author:

Bao, Zhongyu (Bao, Zhongyu.) [1] | Chen, Bingsan (Chen, Bingsan.) [2] | Na, She (Na, She.) [3] | Xu, Yongchao (Xu, Yongchao.) [4] | Hung, Shangchao (Hung, Shangchao.) [5]

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EI

Abstract:

This study aimed to obtain super smooth surface medical implant laser power bed fusion Ti6Al4V samples. A self-modified magnetorheological polishing device and polishing fluid were used to polish the laser power bed fusion additive shaped Ti6Al4V samples to study the effect of the main factors such as abrasive grain size, polishing pressure, and polishing time on the surface roughness and material-removal efficiency of the samples. With continuously decreased Al2O3 abrasive-particle size, the surface roughness initially increased and then decreased, and the material-removal rate decreased. The polishing result of 5 μm Al2O3 was better, no new scratch damage was found after 3 μm Al2O3 polishing; With increased polishing pressure from 5 N to 25 N, the deeper the abrasive particles were pressed, the greater the cutting effect and the more obvious the scratches. Surface roughness initially decreased and then increased, and the material-removal rate increased from 1.19 nm/min to 8.68 nm/min. With continuously extended polishing time, the grinding and polishing effect continued to accumulate, and the surface quality significantly improved, decreasing from 366.33 nm to 19.77 nm. These results showed that magnetorheological polishing technology was very effective in removing LPBF forming defects; the surface roughness was reduced by 96.27% and the additive defects can be completely removed. ©

Keyword:

3D printers Abrasives Alumina Aluminum oxide Particle size Polishing Pressure effects Surface defects Surface roughness Ternary alloys Titanium alloys Titanium dioxide

Community:

  • [ 1 ] [Bao, Zhongyu]Fujian Key Laboratory of Intelligent Machining Technology and Equipment, Fuzhou, Fujian; 350118, China
  • [ 2 ] [Bao, Zhongyu]Fujian University of Technology, Xuefu South Road, Fuzhou, Fujian; 350118, China
  • [ 3 ] [Chen, Bingsan]Fujian Key Laboratory of Intelligent Machining Technology and Equipment, Fuzhou, Fujian; 350118, China
  • [ 4 ] [Chen, Bingsan]Fujian University of Technology, Xuefu South Road, Fuzhou, Fujian; 350118, China
  • [ 5 ] [Na, She]Fujian University of Technology, Xuefu South Road, Fuzhou, Fujian; 350118, China
  • [ 6 ] [Xu, Yongchao]Fujian University of Technology, Xuefu South Road, Fuzhou, Fujian; 350118, China
  • [ 7 ] [Hung, Shangchao]Fuzhou Polytechnic, Fuzhou University City, No. 8, Lianrong Road, Fuzhou, Fujian; 350108, China
  • [ 8 ] [Hung, Shangchao]Intelligent Technology Research Centre, Fuzhou, Fujian; 350108, China

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Source :

Mechanics and Industry

ISSN: 2257-7777

Year: 2022

Volume: 23

1 . 2

JCR@2022

1 . 2 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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