Optimization of the parameters for the rotary diamond dressing of grinding wheels

Chin-Chia Liu, Dyi-Cheng Chen, Tsung Ying Kuo

Research output: Contribution to journalArticle

Abstract

The object of this study was the optimization of dressing parameters used with rotary diamond dressers. A grinding wheel was dressed using different dressing factors and levels and the results were evaluated by the examination of test pieces ground using the dressed wheel. The surface roughness value of the test pieces was measured to determine the optimal dressing parameters. The effect of five dressing factors on surface roughness and work efficiency was investigated–dressing speed ratio, cross feed rate, dressing depth, dressing count, and smoothing count. The ranking of the dressing tests was determined using an L16(45) Taguchi orthogonal array to evaluate the ground surface of the test pieces. The experimental data was analyzed and the signal/noise ratio was calculated. The quality characteristics were used to determine the optimal dressing parameters using principal component and Grey relational analyses. This approach allowed the optimal combination of factors and levels that would achieve a targeted grinding quality with favorable processing efficiency to be found.

Original languageEnglish
Pages (from-to)184-188
Number of pages5
JournalSmart Science
Volume7
Issue number3
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

Diamond
Grinding wheels
Grinding
Strombus or kite or diamond
Wheel
Diamonds
Surface roughness
Optimization
Optimal Parameter
Surface Roughness
Wheels
Count
Cross ratio
Orthogonal Array
Principal Components
Processing
Smoothing
Ranking
Experimental Data
Evaluate

All Science Journal Classification (ASJC) codes

  • Chemistry (miscellaneous)
  • Modelling and Simulation
  • Energy (miscellaneous)
  • Engineering(all)
  • Fluid Flow and Transfer Processes
  • Computer Networks and Communications
  • Computational Mathematics

Cite this

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Optimization of the parameters for the rotary diamond dressing of grinding wheels. / Liu, Chin-Chia; Chen, Dyi-Cheng; Kuo, Tsung Ying.

In: Smart Science, Vol. 7, No. 3, 01.01.2019, p. 184-188.

Research output: Contribution to journalArticle

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