Effects of expanding zone parameters of vacuum dust suction mouth on flow simulation results

Yi-cheng Zhang , Chun-zhao Yang , Chris Baker , Mo Chen , Xiang Zou , Wan-lin Dai

Journal of Central South University ›› 2014, Vol. 21 ›› Issue (6) : 2547 -2552.

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Journal of Central South University ›› 2014, Vol. 21 ›› Issue (6) : 2547 -2552. DOI: 10.1007/s11771-014-2210-2
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Effects of expanding zone parameters of vacuum dust suction mouth on flow simulation results

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Abstract

Based on the parametric analysis of the expanding zone of the vacuum dust suction mouth, the flow in the vacuum dust suction mouth was simulated by computational fluid dynamics (CFD) software, Fluent. The effects of the expanding zone parameters on flow simulation were analyzed. The results show that simulation effects depend on threshold values of the expanding zone parameters of the dust suction mouth, and the threshold values of the expanding zone can be obtained according to the different structures of the vacuum dust suction mouth and be selected as the geometric parameters in calculating, and also corners of the expanding zone make unobvious difference in calculation accuracy and in computational efficiency compared with no corner. The simulation results provide practical guidance to the flow simulation on the dust suction mouth.

Keywords

dust suction mouth / expanding zone / threshold analysis / computational fluid dynamics

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Yi-cheng Zhang, Chun-zhao Yang, Chris Baker, Mo Chen, Xiang Zou, Wan-lin Dai. Effects of expanding zone parameters of vacuum dust suction mouth on flow simulation results. Journal of Central South University, 2014, 21(6): 2547-2552 DOI:10.1007/s11771-014-2210-2

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References

[1]

XuN, WuS-da. System design and research on suction-type street sweeper [J]. Commercial Vehicle, 200683-85

[2]

STRAUSER D P, FIELD R E. Street sweeper pick-up head. United States 5839157 [P]. 1998-11-24.

[3]

PeelG, MichielenM, ParkerGSome aspects of road sweeping vehicle automation [R], 2001, Como, Surrey University: 5-20

[4]

SongY-g, YaoL-na. Research on dust removal mechanism and dust removal system of highway sweeper [J]. China Journal of Highway and Transport, 1995, 8(2): 80-84

[5]

ChenZ-j, WuX-y, XuG-p, WangA-qing. Experimental study on suction mouth of vacuum sweeper [J]. Journal of Tongji University: Natural Science, 2001, 29(12): 1483-1485

[6]

YOO D H, CHOUNG M S, YOU J S. Dust collection apparatus for vacuum cleaner. Korea US7597730B2 [P]. 2009-10-06.

[7]

OH J K. Cyclone dust-collecting apparatus for vacuum cleaner. Korea US7879121B2 [P]. 2011-12-01.

[8]

ZengG-y, LiX-f, XiaoT-y, XuYun. Simulation for the design of dust suction system of highway sweeper [J]. Journal of System Simulation, 2004, 16(12): 2770-2773

[9]

ZhuF-longThe structure research and flow field analysis of dust sucking mouth based on sucking performance [D], 2008, Shanghai, Shanghai Jiao Tong University: 30-38

[10]

YangC-z, ZhangY-c, OuyangZ-j, ZhangJ, YangS-z, ZhangR-zhi. Parametric design of dust collection port of vacuum sweeper based on flow simulation [J]. Journal of Central South University: Science and Technology, 2012, 43(9): 3704-3709

[11]

OuyangZ-j, ZhangY-c, JiaG-h, YangC-z, CaoY, ChenC-xi. Flow properties of dust suction mouth with curled edges [J]. Mechanical Science and Technology for Aerospace Engineering, 2013, 32(3): 362-366

[12]

ZhuF-l, ZhangG-z, ChenJie. Flow field analysis and structure optimization of vacuum sweeper suction mouth [J]. Machinery Design & Manufacture, 2008, 11: 50-52

[13]

WuB-f, MenJ-l, ChenJie. Numerical study on particle removal performance of pickup head for a street vacuum sweeper [J]. Powder Technology, 2010, 200: 16-24

[14]

BagnoldR AThe physics of blown sand and desert dunes [M], 1941, New York, William Morrow & Company: 167-181

[15]

NicklingW G. The initiation of particle movement by wind [J]. Sedimentology, 1998, 35(3): 499-511

[16]

LiZ-j, ZhengB-xu. Mechanism of the movement of dust particles [J]. Blasting, 2003, 20(4): 17-19

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