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Investigating of flexible self-sharpening and optimal parameters in magnetic finishing with gel abrasive

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Abstract

Self-sharpening effect creates good abrasive performance in magnetic abrasive finishing (MAF); however, abrasive is easily flown away by the centrifugal force, reducing the finishing efficiency in MAF. Therefore, a novel polishing effect of flexible self-sharpening was demonstrated to reveal the excellent abilities in magnetic finishing with abrasive gel (MFGA), and grey relational method based on Taguchi experimental data was applied to obtain the optimal parameters in MFGA. In this paper, a cylindrical rod was finished with silicone gel to compare the MR and SR to those without this medium, and showed the flexible self-sharpening effect in MFGA. The results displayed that high temperature of the gel abrasive (exceeded 110°C) during polishing effect induced slow motion of the gel in the working area; hence, old abrasives would be pushed outside the working area during the motion of workpiece and flow motion of gel would pull the new abrasives into the polishing area, creating flexible self-sharpening effect in MFGA. Furthermore, from the grey relational analysis, the best experimental combination of the influential factors was presented; additionally, based on the analysis of variance, concentration of steel grit, machining time and kinds of abrasive dominate the behaviors of MFGA process.

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Abbreviations

x * i (k):

the sequence after data pre-processing

max s (o) i (k):

the largest value of x (o) i (k)

min x (o) i (k):

the smallest value of x (o) i (k)

S m :

sum of squares, based on the mean

L :

total experimental runs (L = 18 in this paper)

S T :

sum of squares, based on the total variation

S P :

sum of squares, based on machining parameters P

S E :

sum of squares, based on the error

y oi :

value of y 0 in the i th experiment (i = 1 to 18 in this paper)

y 0Pi :

sum of the i th level of machining parameters P (i = 1, 2 or i = 1, 2, 3)

N:

repeated number of each level of machining parameters P

f P :

number of degrees of freedom of parameter P

V P :

variance of parameter P

V P :

sum of variance

C P :

contribution of degree of parameter P

V e :

estimated value for the prediction of the grey relational grade

\(\overline V _m \) :

mean value of total grey relational grades

V i :

the value of the grey relational grade at optimal level

n :

the number of machining parameters with C p greater than 20%

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Authors and Affiliations

  1. School of Mechanical Engineering, Ching Yun University, 229, Chien-Hsin Rd., Jung-Li, Taoyuan, Taiwan, 32097

    Lung Tsai, A-Cheng Wang, Shih-Hsien Chou & Cheng-Jun Zhong

Authors
  1. Lung Tsai
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  2. A-Cheng Wang
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  3. Shih-Hsien Chou
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  4. Cheng-Jun Zhong
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Correspondence to A-Cheng Wang.

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Tsai, L., Wang, AC., Chou, SH. et al. Investigating of flexible self-sharpening and optimal parameters in magnetic finishing with gel abrasive. Int. J. Precis. Eng. Manuf. 13, 655–661 (2012). https://doi.org/10.1007/s12541-012-0085-4

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  • DOI: https://doi.org/10.1007/s12541-012-0085-4

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