کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8048111 1519232 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predictive modeling of feature dimension for tip-based nano machining process
ترجمه فارسی عنوان
مدل سازی پیش بینی ابعاد ویژگی برای فرآیند ماشینکاری نانو بر اساس نوک
کلمات کلیدی
نانوفیبریت، نانو ماشینکاری بر اساس نکته مدل سازی ابعاد ویژگی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی
The tip-based vibration-assisted nanomachining process can fabricate three-dimensional (3D) features with nanometer scale resolution. To control the feature dimension accurately in process planning, we need to understand the relationship between feature dimension and machining parameters including setpoint force, XY vibration amplitude and feed rate. In this article, we conducted full factorial experiments to analyze the relationship between feature dimension and machining parameters. Based on analysis of variance (ANOVA), we determined the significant factors in determining the feature dimension. The feature width is mainly controlled by XY vibration amplitude, and the feature depth is controlled XY vibration, setpoint force and feed rate. In order to predict the feature dimension in nanomachining and provide instructions for machining parameter selection, a semi-empirical mechanical model was built first. Then simplified regression models were also investigated, with all models displaying good predictive capability. The results show good fit between predicted feature depth and measured feature depth, for most machining conditions. These models provide good capability in process planning for implementation of this process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Processes - Volume 24, Part 2, October 2016, Pages 338-345
نویسندگان
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