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contributor authorPotthoff, Nils
contributor authorAgarwal, Ankit
contributor authorWöste, Florian
contributor authorWiederkehr, Petra
contributor authorMears, Laine
date accessioned2023-11-29T19:20:24Z
date available2023-11-29T19:20:24Z
date copyright6/7/2023 12:00:00 AM
date issued6/7/2023 12:00:00 AM
date issued2023-06-07
identifier issn1087-1357
identifier othermanu_145_10_101002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294703
description abstractTool wear plays a decisive role in achieving the required surface quality and dimensional accuracy during the machining of Inconel 718-based products. The highly stochastic phenomenon of tool wear, particularly in later stages, results in difficulty in predicting the failure point of the tool. The present research work aims to study this late-stage wear of the tool by generating consistent wear conditions and thereby decoupling the late-stage wear from the wear history. To do so, a multi-axis grinding operation is employed to create artificial tool wear that replicates the topology of natural wear occurring in the process. In order to evaluate the imitating ability of the proposed methodology, microscopic images in different wear states of naturally and contrived worn tools were analyzed. The methodology was validated by comparing the resulting process forces measured during end milling with the natural and contrived worn tool for different path strategies. Finally, a qualitative finite element (FE) analysis was conducted, and specific force coefficients for worn tool segments were determined through simulation.
publisherThe American Society of Mechanical Engineers (ASME)
titleEvaluation of Contrived Wear Methodology in End Milling of Inconel 718
typeJournal Paper
journal volume145
journal issue10
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4062603
journal fristpage101002-1
journal lastpage101002-8
page8
treeJournal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 010
contenttypeFulltext


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