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Author:

Pan, Ri (Pan, Ri.) | Tang, Yuhang (Tang, Yuhang.) | Zhong, Bo (Zhong, Bo.) | Chen, Dongju (Chen, Dongju.) (Scholars:陈东菊) | Wang, Zhenzhong (Wang, Zhenzhong.) | Fan, Jinwei (Fan, Jinwei.) (Scholars:范晋伟) | Zhang, Chunyan (Zhang, Chunyan.)

Indexed by:

EI Scopus SCIE

Abstract:

The surface quality of polyurethane pad attached to the polishing tool is of great importance to the polishing performance, and it is usually maintained by a dressing process. In this study, in order to improve the pad dressing quality, optimization of motion control during the dressing process is presented, from the aspects of the uniformity of the particle trajectories on the pad and the consistency of the relative velocity of each point on the dressed surface. First, kinematic modeling of the particles on the dressing tool based on multibody theory was proposed, which expresses the particle trajectories as a function of the key motion parameters n(g) and n(b). Subsequently, with the above model, simulations were conducted to find the optimized range of n(g) and n(b). The results have shown that the particle trajectories do not distribute uniformly while n(g) = n(b), and along with the increase in the difference between n(g) and n(b), the uniformity of the particle trajectories would improve. After that, to further optimize these motions, the relative velocity of each point on the dressed surface that involves n(g) and n(b) was calculated and compared. The results indicated that only if n(g) > n(b) are the consistencies of the relative velocity of various points on the dressed surface preferred. Consequently, n(g) > n(b) is the premise to satisfy both the particle trajectories and the relative velocity. Furthermore, by considering the limitation of the dressing machine and dressing efficiency, the optimized ranges for n(g) and n(b) are 500-1000 and 100-200 r/min, respectively. Finally, experimental validation was conducted and the result agreed well with the above conclusion, which proved the optimization of the motions. [GRAPHICS] .

Keyword:

motion control Machining optimization methods

Author Community:

  • [ 1 ] [Pan, Ri]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Tang, Yuhang]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhong, Bo]China Acad Engn Phys, Res Ctr Laser Fus, Mianyang 621000, Sichuan, Peoples R China
  • [ 4 ] [Chen, Dongju]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Fan, Jinwei]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Zhang, Chunyan]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Wang, Zhenzhong]Xiamen Univ, Xiamen 361005, Fujian, Peoples R China

Reprint Author's Address:

  • [Pan, Ri]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China;;[Zhong, Bo]China Acad Engn Phys, Res Ctr Laser Fus, Mianyang 621000, Sichuan, Peoples R China

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Source :

IEEE-ASME TRANSACTIONS ON MECHATRONICS

ISSN: 1083-4435

Year: 2019

Issue: 3

Volume: 24

Page: 1141-1152

6 . 4 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:136

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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