کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1562276 999583 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling of grain refinement in aluminum and copper subjected to cutting
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Modeling of grain refinement in aluminum and copper subjected to cutting
چکیده انگلیسی

Plane-strain orthogonal cutting has recently been exploited as a means to refine the microstructure of metallic materials from tens of micrometers or greater to a few hundred nanometers. While experimental work has produced a significant body of knowledge with regard to microstructure and properties of machined materials, only a handful of studies can be found in the literature to discuss the microstructural evolution mechanism and to predict grain refinement during cutting. In this paper, dislocation density-based material models are developed to model grain size refinement and grain misorientation during cutting of Al 6061 T6 and OFHC Cu under various cutting conditions. It is shown that the developed CEL finite element model embedded with the dislocation material models captures the essential features of the deformation field and grain refinement mechanism during cutting. The model predicts the grains in the machined chips are refined from an initial size of 50–100 μm to about 100–200 nm for Al 6061 T6 and OFHC Cu at a low cutting speed of about 0.02 m/s with negative rake angle tools. It is shown that a small applied strain, high cutting speed or high cutting temperature will all contribute to a coarser elongated grain structure during cutting.


► A dislocation density-based numerical model is developed to simulate grain refinement by orthogonal cutting of Al 6061 T6 and OFHC Cu.
► The model predictions of steady-state chip formation and strain distribution are in good agreement with the measurements.
► The model predictions of the average grain size in the chip generally matched well with the measured values under varying cutting conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 50, Issue 10, August–September 2011, Pages 3016–3025
نویسندگان
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