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contributor authorLiu, Jian
contributor authorLi, Juan
contributor authorXu, Chengying
date accessioned2017-05-09T01:01:46Z
date available2017-05-09T01:01:46Z
date issued2013
identifier issn2166-0468
identifier otherjmnm_1_1_011010.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/152858
description abstractDue to its light weight, high creep, and wear resistance, magnesium metal matrix composites (MgMMCs) with nanosized reinforcements are promising for various industrial applications, especially those with high volume fractions of reinforcements. The machinability of MgMMCs and related cutting process modeling are important to study. In this paper, an analytical cutting force model is developed to predict cutting forces of MgMMC reinforced with SiC nanoparticles in micromilling process. This model is different from previous ones by encompassing the behaviors of nanoparticle reinforcements in three cutting scenarios, i.e., shearing, ploughing, and elastic recovery. By using the enhanced yield strength in the cutting force model, three major strengthening factors are incorporated, including loadbearing effect, enhanced dislocation density strengthening effect, and Orowan strengthening effect. In this way, material properties, such as the particle size and volume fraction as significant factors affecting the cutting forces, are explicitly considered. To validate the model, experiments based on various cutting conditions using two types of end mills (diameters as 100 خ¼m and 1 mm) were conducted on pure Mg, MgMMCs with volume fractions of 5 vol. %, 10 vol. %, and 15 vol. %. The experimental results show a good agreement with the predicted cutting force value.
publisherThe American Society of Mechanical Engineers (ASME)
titleCutting Force Prediction on Micromilling Magnesium Metal Matrix Composites With Nanoreinforcements
typeJournal Paper
journal volume1
journal issue1
journal titleJournal of Micro and Nano
identifier doi10.1115/1.4023286
journal fristpage11010
journal lastpage11010
identifier eissn1932-619X
treeJournal of Micro and Nano-Manufacturing:;2013:;volume( 001 ):;issue: 001
contenttypeFulltext


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