کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9705382 1464617 2005 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
چکیده انگلیسی
Predictive neural network modeling is also extended to predict tool wear and surface roughness patterns seen in finish hard turning processes. Decrease in the feed rate resulted in better surface roughness but slightly faster tool wear development, and increasing cutting speed resulted in significant increase in tool wear development but resulted in better surface roughness. Increase in the workpiece hardness resulted in better surface roughness but higher tool wear. Overall, CBN inserts with honed edge geometry performed better both in terms of surface roughness and tool wear development.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Machine Tools and Manufacture - Volume 45, Issues 4–5, April 2005, Pages 467-479
نویسندگان
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