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contributor authorE. Emel
contributor authorE. Kannatey-Asibu
date accessioned2017-05-08T23:35:38Z
date available2017-05-08T23:35:38Z
date copyrightOctober, 1991
date issued1991
identifier issn0094-4289
identifier otherJEMTA8-26945#456_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/108599
description abstractEarlier work has shown tool failure monitoring using frequency-based pattern recognition analysis of acoustic emission signals to be feasible while machining under fixed cutting conditions. However, cutting conditions change quite frequently in industrial production, and since AE signals are affected by varying conditions, a model is developed based on Taylor’s expansion using experimental data obtained for various process variables and their output AE spectra, and is used to filter the influence of varying conditions on signal classification. The experimental study involved a fractional factorial experimental design which delineated effects of variables on AE generation during machining. Normalized AE spectra within the 100 to 1000 kHz range were used as system output along with the AE power. While the normalized spectra were found unaffected by changes in the depth of cut, the total AE power was also little affected by the mixed flank and crater wear, and feed rate changes. Using the model and filter designed, performance of the tool wear, chip noise and tool breakage classifier improved to 83, 99, and 97 percent classification, respectively.
publisherThe American Society of Mechanical Engineers (ASME)
titleAcoustic Emission Monitoring of the Cutting Process—Negating the Influence of Varying Conditions
typeJournal Paper
journal volume113
journal issue4
journal titleJournal of Engineering Materials and Technology
identifier doi10.1115/1.2904126
journal fristpage456
journal lastpage464
identifier eissn1528-8889
keywordsAcoustic emissions
keywordsCutting
keywordsSpectra (Spectroscopy)
keywordsSignals
keywordsWear
keywordsMachining
keywordsFilters
keywordsPattern recognition
keywordsNoise (Sound)
keywordsExperimental design AND Failure
treeJournal of Engineering Materials and Technology:;1991:;volume( 113 ):;issue: 004
contenttypeFulltext


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