2016
DOI: 10.4028/www.scientific.net/kem.689.7
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Application of Taguchi Technique to Surface-Grinding of Mold Steel

Abstract: The selection of optimum machining parameters plays a significant role for the quality characteristics of products and its costs for grinding. This study describes the optimization of the grinding process for an optimal parametric combination to yield a surface roughness using the Taguchi method. An orthogonal array and analysis of variance are employed to investigate the effects of cutting environment (A), depth of cut (B) and feed rate (C) on the surface roughness characteristics of mold steels. Confirmation… Show more

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Cited by 2 publications
(2 citation statements)
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“…The experiments are carried out as per the design matrix and results are obtained. The results are further transformed into signal-to-noise ratios (S/N ratio), these ratios are logarithmic functions of desired output and serve as objective functions for optimization, which help in data analysis and prediction of optimum results [13,14]. The S/N ratio provides a measure of the impact of noise factors on performance.…”
Section: Introductionmentioning
confidence: 99%
“…The experiments are carried out as per the design matrix and results are obtained. The results are further transformed into signal-to-noise ratios (S/N ratio), these ratios are logarithmic functions of desired output and serve as objective functions for optimization, which help in data analysis and prediction of optimum results [13,14]. The S/N ratio provides a measure of the impact of noise factors on performance.…”
Section: Introductionmentioning
confidence: 99%
“…Several researchers have conducted on development of matheamatical models of surface roughnesses for different steels such as carbon steel [6], En8 steel [7], En18 steel [8], AISI 1040 [9], AISI 4140 [10,11] and use of oil effect [12] using a Taguchi technique. There are numbers of studies carried out on different steels by using the statistical method [5][6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%