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Research Papers

A Heat Transfer Model of Grinding Process Based on Energy Partition Analysis and Grinding Fluid Cooling Application

[+] Author and Article Information
Guoxu Yin

Center for Innovation Through Visualization
and Simulation (CIVS),
Purdue University Northwest,
2200 169th Street,
Hammond, IN 46323
e-mail: yinguoxu@gmail.com

Ioan D. Marinescu

Professor
Department of Mechanical, Industrial,
and Manufacturing Engineering,
College of Engineering,
University of Toledo,
1610 N. Westwood Avenue,
Toledo, OH 43607
e-mail: Ioan.marinescu@utoledo.edu

Manuscript received March 31, 2017; final manuscript received June 22, 2017; published online November 2, 2017. Assoc. Editor: Mark Jackson.

J. Manuf. Sci. Eng 139(12), 121015 (Nov 02, 2017) (11 pages) Paper No: MANU-17-1208; doi: 10.1115/1.4037241 History: Received March 31, 2017; Revised June 22, 2017

In the grinding process, high temperature in grinding area is generated by the frictional resistance between workpiece and abrasive grains on the grinding wheel cylindrical surface. Grinding fluid application is an optimal option to reduce the thermal effect and crack on the workpiece ground surface. In this paper, a grinding process heat transfer model with various grinding fluid application is introduced based on computational fluid dynamics (CFD) methodology. The effect of specific heat, viscosity, and surface tension of grinding fluid are taken into account. In the model, the grinding contact area is considered as a heating resource. Most of the heat energy is conducted into the workpiece. The rest of the energy is taken away by the grinding wheel, grinding fluid, and chips. How many percentage of the generated heat is conducted into the workpiece is a key issue, namely, the energy partition ratio ε. An energy partition equation is introduced in this paper with the cooling effect of different grinding fluid. Generated heat energy based on the calculation from energy partition equation is applied on the grinding contact area in the heat transfer model.

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References

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Figures

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Fig. 2

Schematic of experimental grinding process

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Fig. 3

Geometrical view of grinding heat transfer model

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Fig. 4

Workpiece in grinding heat transfer model

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Fig. 5

Temperature distribution various with depth of cut for C270

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Fig. 6

Temperature distribution various with depth of cut for SC520

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Fig. 7

Temperature distribution various with depth of cut for E906

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Fig. 8

Temperature distribution various with depth of cut for 585XT

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Fig. 9

Temperature distribution various with depth of cut of different types of grinding fluids

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Fig. 10

Temperature distribution various with workpiece feed rate for C270

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Fig. 11

Temperature distribution various with workpiece feed rate for SC520

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Fig. 12

Temperature distribution various with workpiece feed rate for E906

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Fig. 13

Temperature distribution various with workpiece feed rate for 585XT

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Fig. 14

Temperature distribution various with workpiece feed rate of different types of grinding fluids

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Fig. 15

Temperature distribution various with grinding wheel speed for C270

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Fig. 16

Temperature distribution various with grinding wheel speed for SC520

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Fig. 17

Temperature distribution various with grinding wheel speed for E906

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Fig. 18

Temperature distribution various with grinding wheel speed for 585X

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Fig. 19

Temperature distribution various with grinding wheel speed of different types of grinding fluids

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