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Research Papers

Temperatures in Grinding—A Review

[+] Author and Article Information
W. Brian Rowe

General Engineering Research Institute,
Liverpool John Moores University,
Liverpool L3 3AF, UK
e-mail: browe1@btinternet.com

1Current address: Court Cottage, Moult Hill, Salcombe, Devon, TQ8 8LF, UK.

Manuscript received October 10, 2016; final manuscript received April 25, 2017; published online November 2, 2017. Assoc. Editor: Xun Chen.

J. Manuf. Sci. Eng 139(12), 121001 (Nov 02, 2017) (6 pages) Paper No: MANU-16-1538; doi: 10.1115/1.4036638 History: Received October 10, 2016; Revised April 25, 2017

Many scientists contributed to the analysis of temperatures in grinding leading up to present-day understanding. This paper draws together important developments from various papers and aims to identify an improved general approach to thermal analysis with wide applicability including for conventional fine grinding, creep feed grinding, and high efficiency deep grinding. Complexity of the basic derivation is avoided since the resulting temperature model is based purely on heat balance. Challenges for future thermal analysis are indicated. Emphasis is placed on fundamental principles for improved accuracy and for convenience of application in process control.

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References

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Figures

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Fig. 1

Grinding contact area: (a) varying grain depth and (b) heat flow to workpiece, chips, fluid and grains

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Fig. 2

Heat input increases with chip thickness. Uniform and triangular heat distributions are often assumed.

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Fig. 3

Maximum temperatures

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Fig. 4

Typical subsurface temperatures [3]

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Fig. 5

Thermal damage threshold. Based on Ref. [2].

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Fig. 6

Measured partition ratios and underestimates using geometric contact length. Based on Ref. [14].

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Fig. 7

Points of potential thermal damage

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Fig. 8

Maximum temperature on short flank in dry surface grinding of EN31 with alumina wheel. Based on Ref. [18].

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Fig. 9

Measured and predicted fluid convection factors with water-based emulsion. Data from Ref. [39].

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Fig. 10

Comparative partition ratios by inverse method. Data from Ref. [35].

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Fig. 11

Measured and predicted temperature rise

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