Research Papers

Detailed Study of Fluid Flow and Heat Transfer in the Abrasive Grinding Contact Using Computational Fluid Dynamics Methods

[+] Author and Article Information
Stefan D. Mihić

e-mail: smihiae@rockets.utoledo.edu

Sorin Cioc

e-mail: Sorin.Cioc@eng.utoledo.edu

Ioan D. Marinescu

e-mail: ioan.marinescu@utoledo.edu
The University of Toledo,
2801 W. Bancroft,
Toledo, OH 43606

Michael C. Weismiller

Master Chemical Corporation,
501 West Boundary Street,
Perrysburg, OH 43551
e-mail: mcweismiller@masterchemical.com

Reference cited in Table 2 are [18].

References cited in the Table 3 are [19-23].

Contributed by the Manufacturing Engineering Division of ASME for publication in the Journal of Manufacturing Science and Engineering. Manuscript received December 3, 2010; final manuscript received July 23, 2012; published online July 17, 2013. Assoc. Editor: Allen Y. Yi.

J. Manuf. Sci. Eng 135(4), 041002 (Jul 17, 2013) (13 pages) Paper No: MANU-10-1357; doi: 10.1115/1.4023719 History: Received December 03, 2010; Revised July 23, 2012

This paper introduces a set of research oriented computational fluid dynamics (CFD) 3D models used to simulate the fluid flow and heat transfer in a grinding process. The most important features of these models are described and some representative simulation results are presented, along with comparisons to published experimental data. Distributions of temperatures, pressures, velocities, and liquid volume fractions in and around the grinding region are obtained in great detail. Such results are essential in studying the influence of the fluid on the grinding process, as well as in determining the best fluid composition and supply parameters for a given application. The simulation results agree well with experimental global flow rates, temperature, and pressure values, showing the feasibility of CFD simulations in grinding applications.

Copyright © 2013 by ASME
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Fig. 1

Schematics of the grinding process

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Fig. 2

Representative geometry for model 1

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Fig. 3

Representative geometry for model 2

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Fig. 4

Pathlines of liquid droplets colored by the fluid particle number

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Fig. 5

Velocity vectors of liquid colored by velocity magnitude (m/s). Range of velocity vectors shown: 8 m/s to 53.6 m/s. Wheel and nozzle fluid velocity were both 50 m/s.

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Fig. 6

(a) Velocity contours of air (m/s), range of velocities: 0 m/s to 64.9 m/s; (b) velocity vectors of air (m/s), range of velocities: 0 m/s to 53.6 m/s

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Fig. 7

Comparison of numerical and experimental results for useful flow rates

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Fig. 8

Maximum temperature change of the grinding fluid

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Fig. 9

Static pressures on the ground part

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Fig. 10

View of fluid velocity vector field colored by grinding fluid volume fraction. Wheel velocity was 60 m/s, nozzle fluid velocity was 50 m/s. Volume fraction varies between 0 (air) and 1 (liquid).

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Fig. 11

Velocity vectors of grinding fluid colored by the velocity magnitude (m/s)

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Fig. 12

Velocity vectors of grinding fluid for inlet flow rate of 3 kg/s/m (m/s). Wheel velocity was 60 m/s.

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Fig. 13

Velocity vectors of grinding fluid for inlet flow rate of 22 kg/s/m (m/s). Wheel velocity was 60 m/s.

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Fig. 14

Velocity vectors of the grinding fluid colored by the temperature (K), range of temperatures: 299 K to787 K

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Fig. 15

Maximum temperature on the ground work piece versus nozzle flow rate

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Fig. 16

Static pressure on the ground part and grinding wheel (Pa)




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