کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
791531 901966 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive network based inference system for estimation of flank wear in end-milling
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
Adaptive network based inference system for estimation of flank wear in end-milling
چکیده انگلیسی

The focus of this paper is to develop a reliable method to predict flank wear during end-milling process. A neural-fuzzy scheme is applied to perform the prediction of flank wear from cutting force signals. In this contribution we also discussed the construction of a ANFIS system that seeks to provide a linguistic model for the estimation of tool wear from the knowledge embedded in the neural network. Machining experiments conducted using the proposed method indicate that using an appropriate maximum force signals, the flank wear can be predicted within 4% of the actual wear for various end-milling conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Processing Technology - Volume 209, Issue 3, 1 February 2009, Pages 1504–1511
نویسندگان
, , ,